Senior Machine Learning Engineer
Experience: 4 - 6 Years Exp
Salary : Competitive
Preferred Notice Period: Within 30 Days
Opportunity Type: Onsite (Mumbai)
Placement Type: Permanent
(*Note: This is a requirement for one of Uplers Clients)
Must have skills:
NLP OR LLMs OR Python
IDfy (One of Uplers Clients) is Looking for:
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.
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 Privy's 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).
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 Uplers:
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(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!
