Ai Ml Engineer

Company/Client Name: Indegene

Experience: 4+ Years

Location

Mode of Work : Onsite

Type : Full Time

LLM/GenAI Engineer

This role is highly technical and requires end-to-end ownership of AI/ML model development, optimization, deployment, and evaluation.

Key Responsibilities

1. Model Training & Fine-Tuning

• Fine-tune and train 

  LLMs, SLMs, and VLMs

   (Llama, Mistral, Falcon, CLIP, BLIP, Qwen-VL, etc.).
• Hands-on experience with 

  Hugging Face Transformers

  , 

  PyTorch

  , or 

  TensorFlow

  .
• Build and optimize model training pipelines (PEFT, LoRA, QLoRA, quantization, pruning).
• Prepare and manage datasets for training/fine-tuning.

2. LLM Engineering & Data Pipelines

• Build and manage 

  LLM/Transformer pipelines

  , embeddings, tokenization, and vector search.
• Experience working with vector databases like 

  FAISS, Pinecone, Weaviate, Chroma

  .
• Build 

  RAG pipelines

   and implement embedding-based retrieval systems.
• Strong understanding of transformers and model architecture.

3. MLOps & Deployment

• Work with MLOps tools (MLflow, DVC, Airflow, Docker, CI/CD).
• Deploy ML and LLM workloads using 

  FastAPI

  , microservices, and cloud-native solutions.

4. Prompt Engineering + Agent Systems

• Build 

  prompt tuning, prompt chaining

  , and multi-step reasoning workflows.
• Experience with 

  Agent-based frameworks

   (LangChain Agents, CrewAI, AutoGen, etc.).
• Strong understanding of generative AI orchestration patterns.

5. Cloud (AWS Preferred)

• Experience with AWS ML/AI services:
  

• SageMaker

• Bedrock

• Lambda / API Gateway

• Ability to deploy and scale AI models in cloud environments.

6. Evaluation & Guardrails

• Implement LLM evaluation methods (RAGAS, DeepEval, OpenAI Evals).
• Build and enforce 

  LLM guardrails

  , safety filters, and moderation workflows.

7. General Skills

• Strong Python programming and FastAPI development skills.
• Excellent logical thinking and ability to solve real-world problems.
• Ability to work in fast-paced environments and deliver POCs/solutions quickly.

Required Skills

• 4+ years of experience in AI/ML/GenAI.
• Strong knowledge of LLM training, tuning, and deployment.
• Hands-on with HuggingFace, PyTorch, Transformers.
• Experience with embeddings and vector databases.
• FastAPI, Python, MLOps tools.
• AWS AI/ML experience (good to have).
• Agent frameworks and RAG implementations.
• Understanding of evaluation metrics and guardrails.

Good to Have

• Exposure to multi-modal models (audio, vision + text).
• Knowledge of model quantization and performance optimization.
• Contributions to open-source LLM/ML projects.