About the team:

AIML is used to create chatbots, virtual assistants, and other forms of artificial intelligence software. AIML is also used in research and development of natural language processing systems.

What you can look forward to as a AI/ML expert

• Lead Development: Own end‑to‑end design, implementation, deployment and maintenance of both traditional ML and Generative AI solutions (e.g., fine‑tuning LLMs, RAG pipelines)
• Project Execution & Delivery: Translate business requirements into data‑driven and GenAI‑driven use cases; scope features, estimates, and timelines
• Technical Leadership & Mentorship: Mentor, review and coach junior/mid‑level engineers on best practices in ML, MLOps and GenAI
• Programming & Frameworks: Expert in Python (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow)
• Cloud & MLOps: Deep experience with Azure Machine Learning (SDK, Pipelines, Model Registry, hosting GenAI endpoints)
• Proficient in Azure Databricks: Spark jobs, Delta Lake, MLflow for tracking both ML and GenAI experiments
• Data & GenAI Engineering : Strong background in building ETL/ELT pipelines, data modeling, orchestration (Azure Data Factory, Databricks Jobs)
• Experience with embedding stores, vector databases, prompt‑optimization, and cost/performance tuning for large GenAI models

Your profile as a Specialist :

• Bachelor’s or master’s in computer science/Engineering/Ph.D in Data Science, or a related field
• Min of 2 years of professional experience in AI/ML engineering, including at least 2 years of hands‑on Generative AI project delivery
• Track record of production deployments using Python, Azure ML, Databricks, and GenAI frameworks
• Hands‑on data engineering experience—designing and operating robust pipelines for both structured data and unstructured (text, embeddings)
• Preferred: Certifications in Azure AI/ML, Databricks, or Generative AI specialties
• Experience working in Agile/Scrum environments and collaborating with cross‑functional teams.

Why you should choose ZF in India

• Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.
• Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support.
• Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities
• Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.
• Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint.
• Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance.