AL Ml Engineer ( 4 - 6 years of Experience )

Full Description

Mid-Senior Level AI/ML Engineer (4 – 6 years)

• Hands-on, independent contributor who can take up AI/GenAI tasks with minimal supervision.

• Should be able to own full AI pipelines, collaborate with clients, and jump between research and production code.

Core Technical Skills:

• Python (must-have)

• Deep Learning Frameworks: PyTorch or TensorFlow

• GenAI Tooling:

Hugging Face TransformersLangChain / LlamaIndex

OpenAI / Azure OpenAI APIs

• Prompt Engineering + LLM fine-tuning / instruction-tuning

Data Preprocessing + NLP pipelines

Deployment: Streamlit / FastAPI / Docker

Basic understanding of MLOps and model serving

Version control, JIRA, GitHub, CI/CD (for smooth delivery)

Soft Skills:

• Self-starter with ownership mentality

• Able to work on multiple projects

• Communicates well with non-technical stakeholders

Responsibilities

• Design, develop, and deploy AI/ML models for various client use cases.

• Build GenAI applications using tools like LangChain, OpenAI, and Hugging Face.

• Fine-tune large language models (LLMs) for specific tasks and domains.

• Write clean, modular Python code for experimentation and production.

• Collaborate with cross-functional teams (backend/frontend/PMs) to deliver end-to-end solutions.

• Assist in scoping and planning new AI projects, occasionally interfacing with clients.

• Contribute to internal R&D and reusable AI components.

Must-Have Skills:

• 4 – 6 years of hands-on AI/ML engineering experience

• Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow)

• Experience with GenAI tools (LangChain, Hugging Face Transformers, OpenAI APIs)

• Good understanding of NLP pipelines, embeddings, vector stores, and model serving

• Comfort with version control (Git), containerization (Docker), and modern dev workflows

Nice to Have:

• Experience deploying apps using FastAPI or Streamlit

• Familiarity with MLOps pipelines and model lifecycle management

• Previous consulting/client-facing experience