Senior AI/ML Engineer (GEN AI) -Pune/Hyd

Tekskills Inc.; Mumbai; Vor Ort; INR 1.800.000 - 3.000.000; Vollzeit

Zusammenfassung

Tekskills Inc. seeks a highly experienced Senior AI/ML Engineer with expertise in NLP, Generative AI, and cloud-native ML systems. You will architect and scale AI-first applications using the latest LLM orchestration and AWS-native services.

Responsibilities include building intent detection and NLG pipelines, implementing LangChain/LangGraph apps, and collaborating with product managers to translate requirements into robust AI solutions. Strong Python and ML framework skills are essential.

Qualifikationen

• Total 10+ years in IT with 4–5+ years in ML focusing on NLP and Generative AI.
• Strong experience building and deploying intent detection, text classification, sequence tagging, and entity recognition models.
• Proficient in LangChain, LangGraph, vector databases, and orchestration of LLM workflows.
• Deep knowledge of AWS Bedrock, SageMaker, Lambda, DynamoDB, and Step Functions.
• Experience with open-source LLMs or commercial APIs; strong Python and ML framework skills.

Aufgaben

• Design, develop, and deploy intent classification and detection models using LLMs and NLP methods.
• Build and optimize NLG pipelines for chatbot responses, summarization, and knowledge grounding.
• Architect LangChain/LangGraph apps for LLM-driven workflows, including autonomous agents and RAG systems.
• Develop scalable ML pipelines using AWS tech stack (Sagemaker, Lambda, Bedrock, Step Functions, DynamoDB).
• Fine-tune foundation models via AWS Bedrock and collaborate with product and backend teams.
• Lead experimentation, A/B testing, and continuous evaluation of deployed models.
• Mentor junior ML engineers and contribute to MLOps governance and best practices.

Kenntnisse

NLP

Generative AI

Python

AWS Bedrock

LangChain

LangGraph

SageMaker

MLOps

PyTorch

CI/CD for ML

FAISS

Pinecone

OpenSearch

Ausbildung

Bachelor's or Master's in CS/DS

Tools

OpenSearch

Weaviate

FAISS

Pinecone

Jobbeschreibung

We are seeking a highly experienced Senior AI/ML Engineer with deep expertise in Natural Language Processing (NLP), Generative AI, and cloud-native ML systems. This role is ideal for someone who has built production-ready intent detection models, NLG systems, and has strong experience with AWS Bedrock, LangChain, and LangGraph. Youll play a key role in architecting and scaling AI-first applications that leverage the latest in LLM, orchestration, and AWS-native services.

Key Responsibilities:

• Design, develop, and deploy intent classification and intent detection models using LLMs and traditional NLP methods.
• Build and optimize Natural Language Generation (NLG) pipelines for chatbot responses, summarization, content creation, or knowledge grounding.
• Architect and implement LangChain and LangGraph based applications for LLM-driven workflows (e.g. autonomous agents, RAG systems).
• Develop scalable machine learning pipelines using the AWS tech stack (e.g. Sagemaker, Lambda, Bedrock, Step Functions, DynamoDB, Athena).
• Integrate and fine-tune foundation models via AWS Bedrock, including Amazon Titan, Anthropic Claude, or Meta Llama.
• Collaborate closely with product managers, ML researchers, and backend engineers to translate business requirements into robust AI solutions.
• Lead experimentation efforts, conduct A/B testing, and ensure continuous evaluation of deployed ML models.
• Mentor junior ML engineers and contribute to best practices in MLOps, model governance, and responsible AI.

Required Qualifications:

• Total 10+ in IT with 4 to 5 + years of experience in machine learning, with a focus on NLP and Generative AI.
• Strong experience building and deploying intent detection, text classification, sequence tagging, and entity recognition models.
• Proficient in LangChain, LangGraph, vector databases (e.g. FAISS, Pinecone), and orchestration of LLM workflows.
• Deep knowledge of AWS Bedrock, Amazon SageMaker, Lambda, DynamoDB, Step Functions, etc.
• Experience working with open-source LLMs (LLaMA, Mistral, Falcon) or commercial APIs (Claude, GPT-4, etc.).
• Proficient in Python, with a solid grasp of ML frameworks such as PyTorch, HuggingFace Transformers, scikit-learn.
• Strong understanding of MLOps practices including model versioning, CI/CD for ML, monitoring, and auto-scaling.
• Bachelor’s or Master’s in Computer Science, Data Science, or a related field.

Nice to Have:

• Experience integrating RAG (Retrieval-Augmented Generation) systems at scale.
• Familiarity with vector search using Amazon OpenSearch, Pinecone, or Weaviate.
• Experience with streaming data processing (e.g. AWS Kinesis, Kafka).
• Contributions to open-source AI/ML or NLP projects.