AI/ML Engineering Leader

ti Steps

12 - 22 years

25 - 35 Lacs

chennai

Posted:-1 days ago| Platform:

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Skills Required

machine learning python generative ai aws bedrock artificial intelligence and vision ai llm ml algorithms deep learning data science langgraph llm fine-tuning pytorch nlp rag tensorflow

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

Define and execute AI/ML roadmaps aligned with business KPIs, driving enterprise-scale transformations.
Design and implement Retrieval-Augmented Generation (RAG) solutions and agentic AI workflows.
Fine-tune LLMs for domain-specific applications, optimizing inference efficiency.
Build scalable CI/CD pipelines for model deployment and monitoring, ensuring ethical AI governance.
Develop advanced NLP solutions leveraging transformer-based architectures for knowledge management.
Implement AI-driven service transformation for platforms like ServiceNow.
Architect and deploy AI solutions on AWS SageMaker and Bedrock environments.
Design scalable ETL pipelines and enforce data governance standards for AI readiness.

Qualifications / Requirements:

Minimum 15 years of experience in IT/consulting, with at least 5 years in AI/ML engineering leadership.
Expertise in Python, R, TensorFlow, PyTorch, LangGraph, AWS Bedrock, and SageMaker.
Proven experience in LLM fine-tuning, RAG, Generative AI, NLP, and Vision AI.
Strong proficiency in MLOps, including CI/CD pipelines, model monitoring, and explainability.
Demonstrated experience in cloud-native AI development on AWS.
Excellent strategic thinking, leadership, mentoring, and stakeholder management skills.

Preferred Skills / Attributes:

Experience in agentic AI workflow design and autonomous systems.
Proven track record of delivering enterprise-scale AI transformations.
Familiarity with ethical AI governance and regulatory compliance frameworks.
Strong understanding of cloud-native AI development best practices.
Excellent communication and collaboration skills.

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