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.
Top Skills
What We Do
Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!
