--- tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:500 - loss:CosineSimilarityLoss base_model: sentence-transformers/all-MiniLM-L6-v2 widget: - source_sentence: 'Name: Rohan Dubey || Email: rohan.dubey37@gmail.com | Phone: +91-7934168821 | LinkedIn: linkedin.com/in/rohan-dubey8 || Location: Kolkata, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || Enterprise sales professional with 10 years at CRED selling Consul solutions to C-suite buyers. Built and managed pipeline of ₹20Cr+ across 8 industry verticals. || --- || SKILLS || Ansible, FluxCD, Vault, Consul, Terraform, ArgoCD, Istio || --- || WORK EXPERIENCE || Account Executive | CRED | Kolkata | 2014 – Present || • Won ₹27Cr competitive deal against Salesforce through ROI-focused proposal and exec-level relationship || • Built greenfield territory from ₹0 to ₹26Cr ARR in 17 months through Ansible and strategic prospecting || • Expanded 11 existing accounts through upselling, generating ₹5Cr incremental ARR || --- || Junior Account Executive | Capgemini | Kolkata | 2011 – 2013 || • Reduced sales cycle from 64 to 16 days by implementing Vault and improving demo-to-close ratio by 14% || • Closed ₹19Cr ARR in FY25, exceeding annual quota by 45% and ranking #8 in team of 28 || --- || EDUCATION || MBA in International Business | BITS Pilani Hyderabad | 2011 | CGPA: 9.4 || --- || CERTIFICATIONS || Google Professional Data Engineer' sentences: - 'Job Title: Computer Vision Engineer || Company: PwC | Location: Kolkata / Remote | Type: Full-Time || Experience: 8+ years | Salary: ₹27–54 LPA || Team Size: ~14 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Computer Vision Engineer to join our Data Science team at PwC. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Design and run rigorous a/b and multi-armed bandit experiments || • Build end-to-end ml pipelines from data ingestion to model deployment and monitoring || • Develop and maintain data pipelines using a/b testing and xgboost || • Work closely with data engineering to ensure data quality and feature availability || • Translate complex model outputs into actionable business insights for non-technical stakeholders || --- || REQUIRED SKILLS: XGBoost, NLP, Computer Vision, Hive, Power BI, Hadoop, A/B Testing, MLflow || NICE TO HAVE: Kafka, TensorFlow, Tableau || --- || PERKS: Gym membership, MacBook Pro, Health & dental insurance, Maternity/paternity leave, Flexible work hours, Remote-first culture || Domain: Data Science' - 'Job Title: Brand Manager || Company: Atlassian | Location: Gurgaon / Remote | Type: Full-Time || Experience: 6+ years | Salary: ₹14–41 LPA || Team Size: ~8 | Interview Rounds: 3 || --- || ABOUT THE ROLE || We are looking for a passionate Brand Manager to join our Marketing team at Atlassian. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Develop and execute email marketing campaigns with segmentation and personalisation || • Manage performance marketing budgets and optimise for cac, roas, and ltv || • Drive seo strategy including technical audits, content planning, and link building || • Identify and test new growth channels through rapid experimentation || • Analyse campaign performance using crm and present insights to leadership || --- || REQUIRED SKILLS: Social Media, Conversion Rate Optimisation, CRM, Community Management, Growth Hacking, SEO || NICE TO HAVE: HubSpot, Google Analytics, Affiliate Marketing || --- || PERKS: Health & dental insurance, Remote-first culture, Gym membership, ₹50K learning budget, Mental health support, Annual performance bonus || Domain: Marketing' - 'Job Title: Content Strategist || Company: Groww | Location: Jaipur / Remote | Type: Full-Time || Experience: 9+ years | Salary: ₹23–55 LPA || Team Size: ~17 | Interview Rounds: 4 || --- || ABOUT THE ROLE || We are looking for a passionate Content Strategist to join our Marketing team at Groww. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Manage performance marketing budgets and optimise for cac, roas, and ltv || • Identify and test new growth channels through rapid experimentation || • Drive seo strategy including technical audits, content planning, and link building || • Build and manage relationships with agencies, platforms, and influencer partners || • Analyse campaign performance using hubspot and present insights to leadership || --- || REQUIRED SKILLS: Email Marketing, HubSpot, Adobe Suite, Influencer Marketing, LinkedIn Ads, Affiliate Marketing, Google Ads, PPC, Meta Ads, Content Marketing || NICE TO HAVE: Copywriting, Programmatic Advertising, PR || --- || PERKS: Maternity/paternity leave, Flexible work hours, Quarterly offsites, Free meals, Remote-first culture || Domain: Marketing' - source_sentence: 'Name: Arjun Saxena || Email: arjun.saxena76@gmail.com | Phone: +91-9753832286 | LinkedIn: linkedin.com/in/arjun-saxena1 || Location: Chennai, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || CA/MBA with 12+ years in React and Node.js at Netflix. Managed portfolios worth ₹37Cr. Strong track record in cost reduction and financial optimisation. || --- || SKILLS || Azure, CI/CD, Node.js, Git, React || --- || WORK EXPERIENCE || FP&A Analyst | Netflix | Chennai | 2013 – Present || • Streamlined AP/AR process using Git, reducing overdue invoices by 62% and DSO by 28 days || • Identified and corrected 3+ compliance gaps during internal audit, reducing regulatory risk || • Led due diligence for 45+ M&A transactions totalling ₹8Cr, coordinating with legal and tax advisors || --- || Junior FP&A Analyst | Morgan Stanley | Chennai | 2010 – 2011 || • Built CI/CD model that identified ₹29Cr cost-saving opportunity, approved by CFO and implemented across 4 divisions || • Managed ₹3Cr working capital portfolio, improving cash conversion cycle by 58% || --- || EDUCATION || PGDM in Finance | NMIMS Noida | 2010 | CGPA: 7.6 || --- || CERTIFICATIONS || Google Professional Data Engineer, Google Analytics Certified' sentences: - 'Job Title: VP Sales || Company: Mphasis | Location: Chennai / Remote | Type: Full-Time || Experience: 2+ years | Salary: ₹30–43 LPA || Team Size: ~29 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate VP Sales to join our Sales team at Mphasis. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Negotiate commercial terms and manage complex multi-stakeholder procurement processes || • Collaborate with customer success to ensure smooth handoff and strong retention || • Maintain accurate crm hygiene and provide reliable revenue forecasts || • Represent the company at industry events, conferences, and executive briefings || • Conduct discovery calls, product demos, and roi workshops with economic buyers || --- || REQUIRED SKILLS: CRM, Demo Skills, Revenue Forecasting, HubSpot, SDR, Negotiation, Customer Success || NICE TO HAVE: Salesforce, MEDDIC, Contract Negotiation || --- || PERKS: MacBook Pro, Maternity/paternity leave, Remote-first culture, Health & dental insurance, Quarterly offsites, Flexible work hours || Domain: Sales' - 'Job Title: Senior PM || Company: Ola | Location: Noida / Remote | Type: Full-Time || Experience: 2+ years | Salary: ₹29–61 LPA || Team Size: ~40 | Interview Rounds: 5 || --- || ABOUT THE ROLE || We are looking for a passionate Senior PM to join our Product Management team at Ola. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Drive customer discovery through interviews, surveys, and usability studies || • Define and own the product roadmap aligned with company okrs and user needs || • Write detailed prds, user stories, and acceptance criteria || • Identify and execute growth opportunities through experimentation and product-led growth || • Prioritise backlog using data-driven frameworks and communicate trade-offs clearly || --- || REQUIRED SKILLS: User Research, MoSCoW, Kanban, Figma, Scrum, Stakeholder Management, Roadmapping, Amplitude || NICE TO HAVE: JIRA, Go-to-Market Strategy, Wireframing || --- || PERKS: ESOPs, Quarterly offsites, Remote-first culture, MacBook Pro, Gym membership, Free meals || Domain: Product Management' - 'Job Title: Data Scientist || Company: Freshworks | Location: Jaipur / Remote | Type: Full-Time || Experience: 7+ years | Salary: ₹16–40 LPA || Team Size: ~39 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Data Scientist to join our Data Science team at Freshworks. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Design and run rigorous a/b and multi-armed bandit experiments || • Own model performance in production — monitor drift, retrain models, and improve accuracy || • Research and prototype state-of-the-art ml techniques from recent literature || • Develop and maintain data pipelines using hive and xgboost || • Build end-to-end ml pipelines from data ingestion to model deployment and monitoring || --- || REQUIRED SKILLS: Kubeflow, dbt, PyTorch, XGBoost, Hive, MLflow || NICE TO HAVE: Data Modeling, Spark, Kafka || --- || PERKS: Remote-first culture, MacBook Pro, ESOPs, Flexible work hours, Free meals || Domain: Data Science' - source_sentence: 'Name: Aakash Naidu || Email: aakash.naidu41@gmail.com | Phone: +91-7612007470 | LinkedIn: linkedin.com/in/aakash-naidu5 || Location: Bangalore, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || 9+ years driving growth through Google Ads and Social Media at Cognizant. Managed ₹6Cr+ annual marketing budgets. Consistently delivered 33%+ ROI on campaigns. || --- || SKILLS || SEO, Google Analytics, Google Ads, Meta Ads, Marketo, Social Media, Market Research, Growth Hacking, Community Management, Affiliate Marketing || --- || WORK EXPERIENCE || Brand Manager | Cognizant | Bangalore | 2022 – Present || • Launched influencer programme with 37+ creators, generating 198M+ impressions and 38% engagement rate || • Reduced paid CAC by 33% by implementing Meta Ads attribution model and reallocating budget || • Led rebranding campaign that improved brand recall by 62% in post-campaign surveys || --- || Junior Brand Manager | Zomato | Bangalore | 2021 – 2023 || • Grew organic search traffic by 22% in 4 months through technical Meta Ads and content strategy overhaul || • Built SEO automation workflows reducing manual effort by 29 hours/week and improving MQL quality by 64% || --- || EDUCATION || B.Sc in Mass Communication | Manipal Ahmedabad | 2021 | CGPA: 8.0 || --- || CERTIFICATIONS || Google Professional Data Engineer, AWS Certified SysOps' sentences: - 'Job Title: Design Lead || Company: Atlassian | Location: Mumbai / Remote | Type: Full-Time || Experience: 8+ years | Salary: ₹10–47 LPA || Team Size: ~15 | Interview Rounds: 3 || --- || ABOUT THE ROLE || We are looking for a passionate Design Lead to join our UI/UX Design team at Atlassian. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Conduct user research including interviews, surveys, and usability testing || • Maintain and evolve the product''s design system and component library || • Own the end-to-end ux process from research and ideation to prototyping and final handoff || • Collaborate closely with product managers and engineers throughout the design-build cycle || • Use data and user feedback to continuously iterate and improve the product experience || --- || REQUIRED SKILLS: Design Systems, Visual Design, Adobe XD, Lottie, Card Sorting, Design Thinking, Interaction Design, Zeplin || NICE TO HAVE: Information Architecture, User Research, Heuristic Evaluation || --- || PERKS: Health & dental insurance, Free meals, MacBook Pro, Mental health support, ESOPs || Domain: UI/UX Design' - 'Job Title: Marketing Lead || Company: Apple | Location: Chennai / Remote | Type: Full-Time || Experience: 1+ years | Salary: ₹16–59 LPA || Team Size: ~14 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Marketing Lead to join our Marketing team at Apple. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Manage performance marketing budgets and optimise for cac, roas, and ltv || • Drive seo strategy including technical audits, content planning, and link building || • Identify and test new growth channels through rapid experimentation || • Work with creative and brand teams to produce compelling campaign assets || • Analyse campaign performance using pr and present insights to leadership || --- || REQUIRED SKILLS: SEM, Content Marketing, Salesforce, Influencer Marketing, Affiliate Marketing, Video Marketing, PR, Brand Strategy || NICE TO HAVE: Growth Hacking, LinkedIn Ads, CRM || --- || PERKS: Mental health support, Quarterly offsites, Flexible work hours, Free meals || Domain: Marketing' - 'Job Title: CISO || Company: PhonePe | Location: Ahmedabad / Remote | Type: Full-Time || Experience: 2+ years | Salary: ₹26–53 LPA || Team Size: ~13 | Interview Rounds: 5 || --- || ABOUT THE ROLE || We are looking for a passionate CISO to join our Cybersecurity team at PhonePe. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Produce executive-level risk reports and board-ready security metrics || • Conduct threat modelling and security architecture reviews for new products || • Collaborate with engineering teams to embed security in the sdlc || • Manage bug bounty programme and coordinate disclosure with external researchers || • Monitor and triage security alerts from siem and edr tools 24/7 || --- || REQUIRED SKILLS: SOC Operations, Threat Intelligence, PKI, Metasploit, NIST Framework, DLP, Splunk, Zero Trust, Burp Suite, Cloud Security (AWS/GCP) || NICE TO HAVE: SIEM, Incident Response, Bash || --- || PERKS: Mental health support, Quarterly offsites, Health & dental insurance, ₹50K learning budget, MacBook Pro || Domain: Cybersecurity' - source_sentence: 'Name: Gaurav Saxena || Email: gaurav.saxena32@gmail.com | Phone: +91-9250175027 | LinkedIn: linkedin.com/in/gaurav-saxena7 || Location: Mumbai, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || UX researcher and designer with 7 years. Conducted 46+ user studies that directly shaped roadmap decisions. Proficient in A/B Testing, Motion Design and Framer. || --- || SKILLS || Figma, Adobe XD, InVision, Framer, Zeplin, Design Systems, Visual Design, Motion Design, Design Thinking, A/B Testing || --- || WORK EXPERIENCE || Head of Design | Salesforce | Mumbai | 2021 – Present || • Led end-to-end redesign of Framer app achieving 39% improvement in task completion rate in usability testing || • Built and maintained design system with 12+ components, cutting designer-developer handoff time by 22% || • Created 34+ user flows and prototypes in Design Systems reducing engineering rework cycles by 70% || --- || Junior Head of Design | IBM | Mumbai | 2018 – 2019 || • Redesigned Framer checkout flow reducing drop-off by 75% and increasing conversion by ₹6Cr monthly || • Defined interaction patterns for Design Thinking component library adopted across 2 product teams || --- || EDUCATION || B.F.A in Visual Communication | NIT Mumbai | 2018 | CGPA: 9.6' sentences: - 'Job Title: Content Strategist || Company: Atlassian | Location: Ahmedabad / Remote | Type: Full-Time || Experience: 7+ years | Salary: ₹20–32 LPA || Team Size: ~28 | Interview Rounds: 4 || --- || ABOUT THE ROLE || We are looking for a passionate Content Strategist to join our Marketing team at Atlassian. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Identify and test new growth channels through rapid experimentation || • Drive seo strategy including technical audits, content planning, and link building || • Develop and execute email marketing campaigns with segmentation and personalisation || • Analyse campaign performance using content marketing and present insights to leadership || • Manage performance marketing budgets and optimise for cac, roas, and ltv || --- || REQUIRED SKILLS: HubSpot, Market Research, Content Marketing, Community Management, Brand Strategy, Marketing Automation, SEM, Influencer Marketing || NICE TO HAVE: Affiliate Marketing, PR, LinkedIn Ads || --- || PERKS: Maternity/paternity leave, ₹50K learning budget, ESOPs, Gym membership, Quarterly offsites || Domain: Marketing' - 'Job Title: Design Systems Engineer || Company: Deloitte | Location: Chennai / Remote | Type: Full-Time || Experience: 8+ years | Salary: ₹12–44 LPA || Team Size: ~15 | Interview Rounds: 5 || --- || ABOUT THE ROLE || We are looking for a passionate Design Systems Engineer to join our UI/UX Design team at Deloitte. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Present design decisions with clear rationale to stakeholders and leadership || • Create wireframes, user flows, prototypes, and high-fidelity mockups in figma || • Advocate for accessibility and inclusive design across all platforms || • Collaborate closely with product managers and engineers throughout the design-build cycle || • Maintain and evolve the product''s design system and component library || --- || REQUIRED SKILLS: Interaction Design, Information Architecture, Storyboarding, Usability Testing, User Research, Visual Design, Wireframing, Framer || NICE TO HAVE: User Flows, Motion Design, Accessibility (WCAG) || --- || PERKS: ₹50K learning budget, Health & dental insurance, Annual performance bonus, Gym membership, ESOPs || Domain: UI/UX Design' - 'Job Title: Security Engineer || Company: Mphasis | Location: Kolkata / Remote | Type: Full-Time || Experience: 3+ years | Salary: ₹17–40 LPA || Team Size: ~37 | Interview Rounds: 5 || --- || ABOUT THE ROLE || We are looking for a passionate Security Engineer to join our Cybersecurity team at Mphasis. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Produce executive-level risk reports and board-ready security metrics || • Manage bug bounty programme and coordinate disclosure with external researchers || • Implement and maintain security controls aligned with nist/iso 27001 frameworks || • Monitor and triage security alerts from siem and edr tools 24/7 || • Conduct threat modelling and security architecture reviews for new products || --- || REQUIRED SKILLS: NIST Framework, Cloud Security (AWS/GCP), Penetration Testing, IAM, Wireshark, Cryptography, Incident Response, CEH, Vulnerability Assessment, SOC Operations || NICE TO HAVE: OSCP, ISO 27001, Splunk || --- || PERKS: Flexible work hours, Gym membership, ESOPs, Free meals, Maternity/paternity leave || Domain: Cybersecurity' - source_sentence: 'Name: Suresh Patel || Email: suresh.patel94@gmail.com | Phone: +91-8821351429 | LinkedIn: linkedin.com/in/suresh-patel5 || Location: Delhi, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || Data scientist with 3 years applying Hadoop, Kubeflow and Hive to solve complex business problems. Experience across recommendation systems, fraud detection, and demand forecasting. || --- || SKILLS || Python, Hadoop, Hive, SQL, Kubeflow, NLP, dbt, Tableau, XGBoost || --- || WORK EXPERIENCE || ML Engineer | InMobi | Delhi | 2022 – Present || • Designed demand forecasting pipeline using Python, reducing inventory waste by 78% and saving ₹35Cr || • Deployed NLP model using Tableau for 4M+ user queries with sub-14ms inference latency || • Developed fraud detection model using Tableau and NLP with 97.7% precision, preventing ₹21Cr in losses || --- || Junior ML Engineer | Swiggy | Delhi | 2020 – 2021 || • Led A/B testing framework used by 20+ product teams, increasing experiment velocity by 51% || • Mentored team of 44 junior data scientists and established ML best practices || --- || EDUCATION || M.S. in Machine Learning | VIT Mumbai | 2020 | CGPA: 9.3' sentences: - 'Job Title: Research Scientist || Company: TCS | Location: Jaipur / Remote | Type: Full-Time || Experience: 3+ years | Salary: ₹26–42 LPA || Team Size: ~24 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Research Scientist to join our Data Science team at TCS. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Translate complex model outputs into actionable business insights for non-technical stakeholders || • Work closely with data engineering to ensure data quality and feature availability || • Build end-to-end ml pipelines from data ingestion to model deployment and monitoring || • Develop and maintain data pipelines using statistics and pandas || • Design and run rigorous a/b and multi-armed bandit experiments || --- || REQUIRED SKILLS: Statistics, SQL, Pandas, Spark, Feature Engineering, Transformers || NICE TO HAVE: dbt, BERT, Looker || --- || PERKS: Health & dental insurance, Mental health support, Annual performance bonus, Flexible work hours || Domain: Data Science' - 'Job Title: Performance Marketer || Company: Morgan Stanley | Location: Delhi / Remote | Type: Full-Time || Experience: 1+ years | Salary: ₹20–30 LPA || Team Size: ~18 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Performance Marketer to join our Marketing team at Morgan Stanley. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Identify and test new growth channels through rapid experimentation || • Develop and execute email marketing campaigns with segmentation and personalisation || • Work with creative and brand teams to produce compelling campaign assets || • Analyse campaign performance using hubspot and present insights to leadership || • Manage performance marketing budgets and optimise for cac, roas, and ltv || --- || REQUIRED SKILLS: HubSpot, Content Marketing, Video Marketing, LinkedIn Ads, PPC, SEO, Social Media || NICE TO HAVE: Salesforce, Meta Ads, Brand Strategy || --- || PERKS: Remote-first culture, Gym membership, Health & dental insurance, Quarterly offsites || Domain: Marketing' - 'Job Title: Cloud Security Engineer || Company: PhonePe | Location: Noida / Remote | Type: Full-Time || Experience: 3+ years | Salary: ₹15–40 LPA || Team Size: ~13 | Interview Rounds: 5 || --- || ABOUT THE ROLE || We are looking for a passionate Cloud Security Engineer to join our Cybersecurity team at PhonePe. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Perform vulnerability assessments and penetration tests on web, mobile, and infrastructure targets || • Lead incident response activities including containment, eradication, and post-incident review || • Collaborate with engineering teams to embed security in the sdlc || • Conduct threat modelling and security architecture reviews for new products || • Manage bug bounty programme and coordinate disclosure with external researchers || --- || REQUIRED SKILLS: CEH, Bash, NIST Framework, Network Security, ISO 27001, Splunk || NICE TO HAVE: DLP, SOC Operations, OSCP || --- || PERKS: Mental health support, Gym membership, Free meals, ₹50K learning budget || Domain: Cybersecurity' pipeline_tag: sentence-similarity library_name: sentence-transformers --- # SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for retrieval. ## Model Details ### Model Description - **Model Type:** Sentence Transformer - **Base model:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) - **Maximum Sequence Length:** 256 tokens - **Output Dimensionality:** 384 dimensions - **Similarity Function:** Cosine Similarity - **Supported Modality:** Text ### Model Sources - **Documentation:** [Sentence Transformers Documentation](https://sbert.net) - **Repository:** [Sentence Transformers on GitHub](https://github.com/huggingface/sentence-transformers) - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers) ### Full Model Architecture ``` SentenceTransformer( (0): Transformer({'transformer_task': 'feature-extraction', 'modality_config': {'text': {'method': 'forward', 'method_output_name': 'last_hidden_state'}}, 'module_output_name': 'token_embeddings', 'architecture': 'BertModel'}) (1): Pooling({'embedding_dimension': 384, 'pooling_mode': 'mean', 'include_prompt': True}) (2): Normalize({}) ) ``` ## Usage ### Direct Usage (Sentence Transformers) First install the Sentence Transformers library: ```bash pip install -U sentence-transformers ``` Then you can load this model and run inference. ```python from sentence_transformers import SentenceTransformer # Download from the 🤗 Hub model = SentenceTransformer("sentence_transformers_model_id") # Run inference sentences = [ 'Name: Suresh Patel || Email: suresh.patel94@gmail.com | Phone: +91-8821351429 | LinkedIn: linkedin.com/in/suresh-patel5 || Location: Delhi, India | Open to: Remote / Hybrid || --- || PROFESSIONAL SUMMARY || Data scientist with 3 years applying Hadoop, Kubeflow and Hive to solve complex business problems. Experience across recommendation systems, fraud detection, and demand forecasting. || --- || SKILLS || Python, Hadoop, Hive, SQL, Kubeflow, NLP, dbt, Tableau, XGBoost || --- || WORK EXPERIENCE || ML Engineer | InMobi | Delhi | 2022 – Present || • Designed demand forecasting pipeline using Python, reducing inventory waste by 78% and saving ₹35Cr || • Deployed NLP model using Tableau for 4M+ user queries with sub-14ms inference latency || • Developed fraud detection model using Tableau and NLP with 97.7% precision, preventing ₹21Cr in losses || --- || Junior ML Engineer | Swiggy | Delhi | 2020 – 2021 || • Led A/B testing framework used by 20+ product teams, increasing experiment velocity by 51% || • Mentored team of 44 junior data scientists and established ML best practices || --- || EDUCATION || M.S. in Machine Learning | VIT Mumbai | 2020 | CGPA: 9.3', 'Job Title: Research Scientist || Company: TCS | Location: Jaipur / Remote | Type: Full-Time || Experience: 3+ years | Salary: ₹26–42 LPA || Team Size: ~24 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Research Scientist to join our Data Science team at TCS. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Translate complex model outputs into actionable business insights for non-technical stakeholders || • Work closely with data engineering to ensure data quality and feature availability || • Build end-to-end ml pipelines from data ingestion to model deployment and monitoring || • Develop and maintain data pipelines using statistics and pandas || • Design and run rigorous a/b and multi-armed bandit experiments || --- || REQUIRED SKILLS: Statistics, SQL, Pandas, Spark, Feature Engineering, Transformers || NICE TO HAVE: dbt, BERT, Looker || --- || PERKS: Health & dental insurance, Mental health support, Annual performance bonus, Flexible work hours || Domain: Data Science', 'Job Title: Performance Marketer || Company: Morgan Stanley | Location: Delhi / Remote | Type: Full-Time || Experience: 1+ years | Salary: ₹20–30 LPA || Team Size: ~18 | Interview Rounds: 6 || --- || ABOUT THE ROLE || We are looking for a passionate Performance Marketer to join our Marketing team at Morgan Stanley. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. || --- || RESPONSIBILITIES || • Identify and test new growth channels through rapid experimentation || • Develop and execute email marketing campaigns with segmentation and personalisation || • Work with creative and brand teams to produce compelling campaign assets || • Analyse campaign performance using hubspot and present insights to leadership || • Manage performance marketing budgets and optimise for cac, roas, and ltv || --- || REQUIRED SKILLS: HubSpot, Content Marketing, Video Marketing, LinkedIn Ads, PPC, SEO, Social Media || NICE TO HAVE: Salesforce, Meta Ads, Brand Strategy || --- || PERKS: Remote-first culture, Gym membership, Health & dental insurance, Quarterly offsites || Domain: Marketing', ] embeddings = model.encode(sentences) print(embeddings.shape) # [3, 384] # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities) # tensor([[1.0000, 0.6883, 0.4044], # [0.6883, 1.0000, 0.3296], # [0.4044, 0.3296, 1.0000]]) ``` ## Training Details ### Training Dataset #### Unnamed Dataset * Size: 500 training samples * Columns: sentence_0, sentence_1, and label * Approximate statistics based on the first 100 samples: | | sentence_0 | sentence_1 | label | |:---------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:-----------------------------------------------------------------| | type | string | string | float | | modality | text | text | | | details | | | | * Samples: | sentence_0 | sentence_1 | label | |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------| | Name: Rohan Iyer \|\| Email: rohan.iyer44@gmail.com \| Phone: +91-7672100521 \| LinkedIn: linkedin.com/in/rohan-iyer9 \|\| Location: Kolkata, India \| Open to: Remote / Hybrid \|\| --- \|\| PROFESSIONAL SUMMARY \|\| Security engineer with 11 years building and operating SOC capabilities at HDFC Bank. Expert in Workday, Onboarding and threat hunting. Reduced MTTD by 58%. \|\| --- \|\| SKILLS \|\| Onboarding, Workforce Planning, Change Management, Conflict Resolution, Organisational Development, Workday, SuccessFactors \|\| --- \|\| WORK EXPERIENCE \|\| CISO \| HDFC Bank \| Kolkata \| 2018 – Present \|\| • Led incident response for 33+ security events, containing breaches with zero data exfiltration \|\| • Designed and deployed cloud-native SIEM using Change Management, processing 40B+ log events daily \|\| • Implemented Zero Trust architecture across 3K endpoints, reducing lateral movement risk by 56% \|\| --- \|\| Junior CISO \| TCS \| Kolkata \| 2016 – 2018 \|\| • Reduced mean time to detect (MTTD) from 89 hours to 18 hours by... | Job Title: Head of HR \|\| Company: Deloitte \| Location: Hyderabad / Remote \| Type: Full-Time \|\| Experience: 4+ years \| Salary: ₹29–73 LPA \|\| Team Size: ~6 \| Interview Rounds: 4 \|\| --- \|\| ABOUT THE ROLE \|\| We are looking for a passionate Head of HR to join our Human Resources team at Deloitte. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. \|\| --- \|\| RESPONSIBILITIES \|\| • Partner with business unit heads to identify people needs and build workforce plans \|\| • Resolve employee grievances, conduct investigations, and ensure fair outcomes \|\| • Champion diversity, equity, and inclusion initiatives across the organisation \|\| • Own end-to-end recruitment for technical and business roles across all levels \|\| • Develop and implement l&d programmes aligned with business capability gaps \|\| --- \|\| REQUIRED SKILLS: HRIS, HRMS, LinkedIn Recruiter, Training & Development, Payroll, Change Management, Onboarding, Succession P... | 0.33 | | Name: Arjun Kulkarni \|\| Email: arjun.kulkarni59@gmail.com \| Phone: +91-7205273021 \| LinkedIn: linkedin.com/in/arjun-kulkarni9 \|\| Location: Noida, India \| Open to: Remote / Hybrid \|\| --- \|\| PROFESSIONAL SUMMARY \|\| Talent acquisition specialist with 12 years. Hired 50+ candidates across tech, product, and business functions. Passionate about Employer Branding and data-driven recruiting. \|\| --- \|\| SKILLS \|\| Onboarding, Employee Relations, Workforce Planning, HR Analytics, Change Management, Exit Management, LinkedIn Recruiter, Performance Management, SAP HR, Employer Branding, Payroll \|\| --- \|\| WORK EXPERIENCE \|\| Recruiter \| Mphasis \| Noida \| 2016 – Present \|\| • Managed full-cycle recruitment for 33+ roles in 12 months to support rapid expansion phase \|\| • Ensured compliance across 4 states with varying labour laws during company acquisition \|\| • Reduced annual attrition from 96% to 8% through stay interviews, compensation benchmarking, and career pathing \|\| --- \|\| Junior Recruiter \| Orac... | Job Title: People Ops Manager \|\| Company: Airbnb \| Location: Bangalore / Remote \| Type: Full-Time \|\| Experience: 4+ years \| Salary: ₹13–33 LPA \|\| Team Size: ~12 \| Interview Rounds: 3 \|\| --- \|\| ABOUT THE ROLE \|\| We are looking for a passionate People Ops Manager to join our Human Resources team at Airbnb. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. \|\| --- \|\| RESPONSIBILITIES \|\| • Develop and implement l&d programmes aligned with business capability gaps \|\| • Use hr analytics to identify trends in attrition, engagement, and hiring efficiency \|\| • Own end-to-end recruitment for technical and business roles across all levels \|\| • Resolve employee grievances, conduct investigations, and ensure fair outcomes \|\| • Administer payroll, benefits, and statutory compliance across locations \|\| --- \|\| REQUIRED SKILLS: Performance Management, Conflict Resolution, LinkedIn Recruiter, Training & Development, Employee Rel... | 0.77 | | Name: Gaurav Malhotra \|\| Email: gaurav.malhotra26@gmail.com \| Phone: +91-8148872110 \| LinkedIn: linkedin.com/in/gaurav-malhotra1 \|\| Location: Gurgaon, India \| Open to: Remote / Hybrid \|\| --- \|\| PROFESSIONAL SUMMARY \|\| 3+ years as a ML Engineer specialising in Power BI and Go. Built production ML systems at Google serving 38M+ users. Published 5 internal research papers. \|\| --- \|\| SKILLS \|\| Pandas, Hypothesis Testing, XGBoost, Python, Power BI, NumPy, EKS, Go, ArgoCD \|\| --- \|\| WORK EXPERIENCE \|\| ML Engineer \| Google \| Gurgaon \| 2020 – Present \|\| • Built Python-based recommendation engine that increased click-through rate by 19% and revenue by ₹37Cr annually \|\| • Led A/B testing framework used by 21+ product teams, increasing experiment velocity by 46% \|\| • Reduced model training time by 15% by migrating Hypothesis Testing workloads to distributed Python cluster \|\| --- \|\| Junior ML Engineer \| ShareChat \| Gurgaon \| 2017 – 2018 \|\| • Mentored team of 7 junior data scientists and established... | Job Title: Head of DevOps \|\| Company: Adobe \| Location: Chennai / Remote \| Type: Full-Time \|\| Experience: 7+ years \| Salary: ₹24–51 LPA \|\| Team Size: ~39 \| Interview Rounds: 5 \|\| --- \|\| ABOUT THE ROLE \|\| We are looking for a passionate Head of DevOps to join our DevOps team at Adobe. You will work on high-impact problems affecting millions of users and collaborate with some of the best minds in the industry. \|\| --- \|\| RESPONSIBILITIES \|\| • Optimise cloud costs through rightsizing, reserved capacity, and architectural improvements \|\| • Participate in on-call rotation, respond to incidents, and drive rca to prevent recurrence \|\| • Collaborate with development teams to embed devops practices and platform tooling \|\| • Implement comprehensive observability including metrics, logs, and distributed tracing \|\| • Define and enforce slos, slis, and error budgets for critical services \|\| --- \|\| REQUIRED SKILLS: Linux, Bash, Consul, Pulumi, Kubernetes, Grafana \|\| NICE TO HAVE: Go, New Relic, FluxC... | 0.68 | * Loss: [CosineSimilarityLoss](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters: ```json { "loss_fct": "torch.nn.modules.loss.MSELoss", "cos_score_transformation": "torch.nn.modules.linear.Identity" } ``` ### Training Hyperparameters #### Non-Default Hyperparameters - `per_device_train_batch_size`: 16 - `per_device_eval_batch_size`: 16 - `multi_dataset_batch_sampler`: round_robin #### All Hyperparameters
Click to expand - `per_device_train_batch_size`: 16 - `num_train_epochs`: 3 - `max_steps`: -1 - `learning_rate`: 5e-05 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: None - `warmup_steps`: 0 - `optim`: adamw_torch_fused - `optim_args`: None - `weight_decay`: 0.0 - `adam_beta1`: 0.9 - `adam_beta2`: 0.999 - `adam_epsilon`: 1e-08 - `optim_target_modules`: None - `gradient_accumulation_steps`: 1 - `average_tokens_across_devices`: True - `max_grad_norm`: 1 - `label_smoothing_factor`: 0.0 - `bf16`: False - `fp16`: False - `bf16_full_eval`: False - `fp16_full_eval`: False - `tf32`: None - `gradient_checkpointing`: False - `gradient_checkpointing_kwargs`: None - `torch_compile`: False - `torch_compile_backend`: None - `torch_compile_mode`: None - `use_liger_kernel`: False - `liger_kernel_config`: None - `use_cache`: False - `neftune_noise_alpha`: None - `torch_empty_cache_steps`: None - `auto_find_batch_size`: False - `log_on_each_node`: True - `logging_nan_inf_filter`: True - `include_num_input_tokens_seen`: no - `log_level`: passive - `log_level_replica`: warning - `disable_tqdm`: False - `project`: huggingface - `trackio_space_id`: None - `trackio_bucket_id`: None - `trackio_static_space_id`: None - `per_device_eval_batch_size`: 16 - `prediction_loss_only`: True - `eval_on_start`: False - `eval_do_concat_batches`: True - `eval_use_gather_object`: False - `eval_accumulation_steps`: None - `include_for_metrics`: [] - `batch_eval_metrics`: False - `save_only_model`: False - `save_on_each_node`: False - `enable_jit_checkpoint`: False - `push_to_hub`: False - `hub_private_repo`: None - `hub_model_id`: None - `hub_strategy`: every_save - `hub_always_push`: False - `hub_revision`: None - `load_best_model_at_end`: False - `ignore_data_skip`: False - `restore_callback_states_from_checkpoint`: False - `full_determinism`: False - `seed`: 42 - `data_seed`: None - `use_cpu`: False - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None} - `parallelism_config`: None - `dataloader_drop_last`: False - `dataloader_num_workers`: 0 - `dataloader_pin_memory`: True - `dataloader_persistent_workers`: False - `dataloader_prefetch_factor`: None - `remove_unused_columns`: True - `label_names`: None - `train_sampling_strategy`: random - `length_column_name`: length - `ddp_find_unused_parameters`: None - `ddp_bucket_cap_mb`: None - `ddp_broadcast_buffers`: False - `ddp_static_graph`: None - `ddp_backend`: None - `ddp_timeout`: 1800 - `fsdp`: None - `fsdp_config`: None - `deepspeed`: None - `debug`: [] - `skip_memory_metrics`: True - `do_predict`: False - `resume_from_checkpoint`: None - `warmup_ratio`: None - `local_rank`: -1 - `prompts`: None - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: round_robin - `router_mapping`: {} - `learning_rate_mapping`: {}
### Training Time - **Training**: 19.4 minutes ### Framework Versions - Python: 3.14.5 - Sentence Transformers: 5.6.0 - Transformers: 5.12.1 - PyTorch: 2.12.1+cpu - Accelerate: 1.14.0 - Datasets: 5.0.0 - Tokenizers: 0.22.2 ## Citation ### BibTeX #### Sentence Transformers ```bibtex @inproceedings{reimers-2019-sentence-bert, title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", author = "Reimers, Nils and Gurevych, Iryna", booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing", month = "11", year = "2019", publisher = "Association for Computational Linguistics", url = "https://arxiv.org/abs/1908.10084", } ```