Engineer II

6 - 8 years

8 - 10 Lacs

Posted:20 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Description & Requirements
Job Title: Senior AI & Machine Learning Engineer
Experience: 6-8 Years
Domain: Machine Learning / Generative AI / Agentic Frameworks
We are looking for a Senior AI & Machine Learning Engineer with deep expertise in machine learning, generative AI, and agentic AI workflows. The role involves building, fine-tuning, and deploying large-scale ML and GenAI models while developing intelligent Enterprise-grade agentic systems that operate autonomously in Production Environments.
Key Responsibilities
  • Design, train, and optimize ML models for prediction, classification, and analytical use cases.
  • Build, fine-tune, and deploy open-source LLMs (GPT, Llama, Mistral, T5, Falcon, BERT, ViT).
  • prompt engineering and build RAG-based and multi-Agent solutions .
  • Develop agentic AI workflows using LangChain, LangGraph, CrewAI, Autogen, or PhiData .
  • Deploy and manage models using MLflow, Kubeflow, SageMaker, Docker, and Kubernetes .
  • Monitor model performance, drift, and ensure scalability and robustness in production.
  • Collaborate with cross-functional teams to align ML solutions with business and product goals.
  • Document model architecture, workflows, and experiments.
Required Skills & Qualifications
  • 6-8 Years of overall development experience
  • 4 years of experience in ML engineering or GenAI development.
  • Proven experience in deploying ML/GenAI Agents in production at scale.
  • Strong proficiency in Python and Java preferred.
  • Hands-on with TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain.
  • Integrate AI services into existing web and workflow applications using Python (FastAPI), REST APIs and secure connectors.
  • Experience fine-tuning open-source LLMs and developing generative or agentic AI systems.
  • Knowledge of data processing tools (SQL, Spark, Pandas, NumPy).
  • Deep Knowledge of LLM orchestration, Vector databases (FAISS, Chroma, Pinecone etc.)
  • Excellent problem-solving and communication skills.
Preferred Skills
  • Knowledge of cloud platforms (AWS, GCP, Azure).
  • Understanding of AI governance, ethical AI, and model interpretability frameworks.
  • Familiarity with reinforcement learning or continuous learning pipelines .
  • Experience with Git and SDLC best practices.
  • Certifications in Azure/AWS AI is a plus.
Summary
This role blends advanced machine learning , generative AI , and agentic automation to deliver production-ready, scalable AI solutions. The engineer will work across the full AI lifecycle from model development to deployment within a high-performance AI/ML domain team.

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.





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