Senior AI/ML Engineer - NLP & Generative AI

Careernet

4 - 8 years

15 - 25 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

design ai/ml nlp

Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Skills:

Roles and Responsibilities:

Design, develop, and optimize NLP-driven AI solutions using advanced models and techniques (NER, embeddings, summarization).
Build and productionize Retrieval-Augmented Generation (RAG) pipelines and agentic workflows for intelligent, context-aware applications.
Fine-tune, prompt-engineer, and deploy Large Language Models (LLMs) such as OpenAI, Anthropic, Falcon, and LLaMA for domain-specific use cases.
Collaborate with data scientists, backend engineers, and cloud architects to develop scalable AI-first systems.
Evaluate and integrate third-party APIs, open-source frameworks, and models for generative AI use cases.
Continuously monitor and improve model accuracy, performance, and latency in production settings.
Implement observability, explainability, and monitoring tools to ensure robust AI model performance.
Ensure all deployed solutions adhere to enterprise standards for reliability, traceability, and maintainability.

Skills Required:

Strong expertise in NLP techniques: NER, embeddings, summarization, sentiment analysis, topic modeling.
Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Falcon, LLaMA, Mistral).
Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Experience with Generative AI workflows: fine-tuning, prompt engineering, RAG pipelines, and agent-based systems.
Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus).
Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Strong understanding of MLOps practices: monitoring, observability, CI/CD for ML models.
Excellent problem-solving, collaboration, and communication skills.

Education:

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