Gen AI Machine Learning Engineer

Simelabs - An Astek Company; Ernakulam; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infopark in India seeks a Gen AI Machine Learning Engineer with 6+ years in AI/ML, including 3+ years in ML engineering, NLP, Generative AI and LLMs. You will design and build scalable AI solutions and collaborate with cross-functional teams.

Responsibilities include implementing LLM agentic workflows, exploring Langchain, LangGraph, LlamaIndex, and optimizing training pipelines on AWS. Strong Python skills and experience with PyTorch or scikit-learn are valued, along with excellent

Qualifications

• 6+ years in AI/ML with 3+ years in ML engineering, NLP, Generative AI and LLMs.
• Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex).
• Strong Python and ML framework knowledge (PyTorch, scikit-learn) for training and deployment.

Skills

LLM engineering

Prompt engineering

RAG

LLM evaluation

MLOps

Python

AWS

Voice Conversational AI

Communication

Analytical

Tools

Langchain

LangGraph

LlamaIndex

PyTorch

scikit-learn

AWS

Job description

Gen AI Machine Learning Engineer

6+ years of experience in AI and machine learning, out of which 3+ years of experience in machine learning engineering, NLP, Generative AI, and LLM technologies.

• Experience with LLM Agentic workflows and frameworks (Langchain, LangGraph, LlamaIndex, etc.).
• Knowledge and experience with transformer architectures, prompt engineering, retrieval-augmented generation (RAG), guardrails, and LLM evaluation methodologies.
• Hands-on experience of MLOps and LLMOps is desired.
• Knowledge of design, implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
• Advanced knowledge of Python and some experience in ML frameworks (PyTorch, scikit-learn, etc.) for training, fine-tuning, and deploying generative models is desired.
• Experience with Cloud technology, preferably AWS.
• Experience with Voice Conversational AI will be a big plus.
• Ability to contribute both independently and as part of a team.
• Excellent analytical and problem-solving skills.
• Excellent listening, communication, interpersonal and presentation skills to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.