Senior Machine Learning Engineer
- Uplers
- 3 - 7 years
- Mumbai
- 7 months ago
- Email to a friend
- Report this job
Job Description
Senior Machine Learning EngineerExperience: 3 - 7 Years Exp
Salary : Competitive
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Onsite (Mumbai)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills required :
NLP, LLM, PythonIDfy (One of Uplers' Clients) is Looking for:
Senior Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description
About Privy:
Privy is Indias first consent governance platform, simplifying compliance with the DPDP Act. We are at the cutting edge of privacy tech, AI-driven compliance, and data discovery, enabling businesses to handle PII data, digital journeys, and regulatory processes with intelligence.Our ML team is at the heart of these innovationsdeveloping LLM-powered solutions for contract analysis, regulatory compliance, and automated privacy workflows. We build systems that understand contracts, detect dark patterns, classify privacy risks, and automate DPIA responses using both vector-based retrieval (RAG) and structured query approaches.We are looking for a Senior Machine Learning Engineer with expertise in LLMs, NLP, and privacy-focused AI solutions to join our Mumbai team and help shape the future of AI-powered data protection.Why Join Us?
Be at the forefront of privacy AIsolving real-world compliance challenges using cutting-edge AI.
Work on challenging AI problems in contract analysis, PII classification, and regulatory automation.
Collaborate with top legal, compliance, and AI researchers.
Competitive salary, flexible work culture, and a high-impact role in a fast-growing privacy tech company.
In this role you will:
Develop and fine-tune LLMs for contract analysis, regulatory classification, and risk assessment.
Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid DB-based querying to power DPIA and compliance workflows.
Build AI-driven contract analysis systems to detect dark patterns, classify clauses, and provide remediation suggestions.
Develop knowledge graph-based purpose taxonomies for privacy policies and PII classification.
Automate data discovery for structured and unstructured data, classifying it into PII categories.
Optimize sliding window chunking, token-efficient parsing, and context-aware summarization for legal and compliance texts.
Build APIs and ML services for deploying models in a high-availability production environment.
Collaborate with privacy, legal, and compliance teams to build AI solutions that power Privys data governance tools.
Stay ahead of the curve with agentic RAG, multi-modal LLMs, and self-improving models in the compliance domain.Must-Have Skills
3-5 years of experience in Machine Learning, NLP, and LLM-based solutions.
Strong expertise in fine-tuning and deploying LLMs (GPT-4, Llama, Mistral, or custom models).
Experience with RAG-based architectures, including vector embeddings (FAISS, ChromaDB, Weaviate, Pinecone, or similar).
Hands-on with agentic RAG, sliding window chunking, and efficient context retrieval techniques.
Deep understanding of privacy AI use cases, including contract analysis, regulatory classification, and PII mapping.
Proficiency in Python and frameworks like PyTorch, TensorFlow, JAX, Hugging Face, or LangChain.
Experience in building scalable AI APIs and microservices.
Exposure to MLOps practices, including model monitoring, inference optimization, and API scalability.
Experience working with at least one cloud provider (AWS, GCP, or Azure).Good-to-Have Skills
Experience in hybrid AI architectures combining vector search + relational databases.
Familiarity with functional programming languages (Go, Elixir, Rust, etc.).
Understanding of privacy compliance frameworks (DPDP Act, GDPR, CCPA, ISO 27701).
Exposure to Kubernetes, Docker, and ML deployment best practices.
Contributions to open-source LLM projects or privacy AI research.How to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!About Our Client:
IDfy is an Integrated Identity Platform offering products and solutions for KYC, KYB, Background Verifications, Risk Assessment, and Digital Onboarding. We establish trust while delivering a frictionless experience for you, your employees, customers and partners.About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.(Note: There are many more opportunities apart from this on the portal.)So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Mumbai
Keyskills: Machine Learning Large Language Model Natural Language Processing Python
Similar positions
Uplers
Mavlers is a full-service digital marketing agency that has propelled growth for over 7,000 brands and agencies worldwide. As Google, Mailchimp, WP VIP, Microsoft, Salesforce, and HubSpot partners, we possess the expertise to deliver high-impact projects and campaigns tailored to our clients uniqu...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in