ML Engineer

Experience: 4.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Office ()

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - PrivaSapien)

What do you need for this opportunity?

Must have skills required:

LLM Fine-tuning, Slm fine-tuning, Python, FastAPI, Flask, LLM Inference

PrivaSapien is Looking for:

Role: ML Engineer

Job Location: Bangalore

Years of Experience: 3 to 5 years of relevant experience

Mandatory Requirement: Passionate about Privacy & Responsible AI

About the Role:

We are building a privacy-first AI platform that secures sensitive data before, during, and after LLM interactions. As an ML Engineer, you will work on core modules — from entity recognition and data anonymization to agentic systems and secure LLM orchestration. You will own model selection, training, fine-tuning, and deployment across production pipelines handling structured and unstructured data at scale.

Responsibilities:

• Design, train, fine-tune, and deploy ML models for entity detection, entity masking, text classification, and data anonymization
• Build and optimize NLP pipelines for privacy risk identification and sensitive data tagging across structured and unstructured datasets
• Develop and maintain agentic AI systems that orchestrate multi-step reasoning, tool use, and autonomous task execution
• Implement and evaluate Retrieval-Augmented Generation (RAG) pipelines for secure, context-aware querying
• Work on LLM integration layer: prompt engineering, guardrails, output validation, and data mitigation strategies
• differential privacy and anonymization techniques to ensure data protection before LLM exposure
• Optimize model inference for latency and throughput in production (containerized microservices)
• Collaborate with backend (Go) and platform teams to integrate ML services into existing APIs and Kafkabased event pipelines
• Establish evaluation frameworks: accuracy, bias detection, privacy leakage metrics, and model drift

monitoring

• Stay current with state-of-the-art research and recommend adoption of new architectures or techniques

Must-Have Skills:

Development:

• Python Expertise: Professional experience building and scaling Microservices.
• Frameworks: Proficiency in FastAPI (for high-perf APIs) and Flask.
• Concurrency: Deep comfort with Asynchronous development (asyncio).
• Distributed Systems: Hands-on experience with Redis and Celery for background task orchestration.

LLMs & Applied NLP:

• Strong understanding of Encoder models (BERT, RoBERTa, DeBERTa
• Strong understanding of Decoder models (GPT family, LLaMA, Mistral)
• Deep knowledge of Transformer architecture — attention mechanisms, positional encoding, k-v caching,

tokenization strategies

• Familiarity with Dense, Convolutional, Sequence model layers (LSTMs, GRUs)
• Hands-on experience with LLM fine-tuning: LoRA, QLoRA, PEFT, instruction tuning
• Prompt engineering: few-shot, chain-of-thought, structured output enforcement
• Named Entity Recognition (NER): custom entity models for PII (names, addresses, financial data, health

records)

• Text classification, sentiment analysis, and zero-shot/few-shot classification (e.g., DistilBART-MNLI)
• Familiarity with embedding models and vector similarity search (FAISS, Pinecone, ChromaDB)

Agents & Orchestration:

• Experience building AI Agents: tool-calling agents, ReAct pattern, plan-and-execute architectures
• Familiarity with agent frameworks: LangChain, LangGraph, or equivalent
• Understanding of multi-agent systems: agent communication, task delegation, state management
• RAG pipeline design: chunking strategies, retrieval ranking, context window management

Qualifications

• B.Tech/M.Tech/MS in Computer Science, AI/ML, Mathematics, or related field
• 3–5 years of professional experience building and deploying ML models in production
• Published or demonstrable work with transformer-based architectures
• Strong fundamentals in linear algebra, probability, statistics, and optimization

About PrivaSapien:

Privacy Engineering and Responsible AI are critical for building ethical AI guardrails. At PrivaSapien, we are pioneering a comprehensive suite of Privacy Engineering and Responsible AI products to govern data and AI the right way.

Recognized globally, we have won multiple awards, including:

Morgan Stanley’s "Future of AI" Award

Accenture Ventures’ "AI: Digital Core" Award

Google for Startups AI First Award

NASSCOM Emerge 50 Award

NITI Aayog’s Aatmanirbhar Bharat Award

DSCI’s Innovation Box Award

SDAIA PET Sandbox Graduation (Saudi Arabia)

UK Gov & Infosys’ Fairness Award

We have secured funding from a US-based VC firm and recently turned down an acquisition offer from a $Trillion company—a testament to our vision and impact.

We serve large enterprises across India, the Middle East, Europe, and the US and have filed 25 patents. Our team is deeply research-driven, with 40% of our talent recruited from IISc & ISI Kolkata.

Join us in shaping the future of AI with privacy at its core

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

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!