Data Scientist

Foundational Engineer - AI & Machine Learning

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

About the Role

We are looking for a AI & Machine Learning Engineer with 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 agentic systems that operate autonomously

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).
• Apply prompt engineering and build RAG-based AI assistants and chatbots.
• 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 architectures, workflows, and experiments.

Required Skills & Qualifications

• Candidate should be completed AI/ML training from reputed organization
• At least 6 month working 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.
• Familiarity with MLOps and containerization (MLflow, Kubeflow, SageMaker, Docker, Kubernetes).
• Experience fine-tuning open-source LLMs and developing generative or agentic AI systems.
• Knowledge of data processing tools (SQL, Spark, Pandas, NumPy).
• Excellent problem-solving and communication skills.

Preferred Qualifications

• Knowledge of cloud platforms (AWS, GCP, Azure).
• Familiarity with reinforcement learning or continuous learning pipelines.
• Experience with Git and SDLC best practices.

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.

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Experience Level

Senior Level