Technical Lead-AI/ML, Generative AI & Agentic AI
ZF Friedrichshafen AG (company site, opens in a new tab)6–9 yrsHyderabadOn-siteDirect career pageEst. 18–32 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead AI/ML engineering projects focusing on Agentic AI & Generative AI with production deployments using Python, Azure ML, Databricks, and GenAI frameworks.
- Design and operate robust data pipelines handling both structured data and unstructured data such as text and embeddings.
- Collaborate within Agile/Scrum teams and coordinate cross-functional efforts to deliver AI-driven solutions.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
- 6-9 years of professional experience in AI/ML engineering with at least 2-4 years hands-on experience in Agentic AI & Generative AI.
- Hands-on experience with Python, Azure ML, Databricks, GenAI frameworks, and data engineering for both structured and unstructured data.
- Experience working in Agile/Scrum environments; certifications in Azure AI/ML, Databricks, or Generative AI are preferred but not mandatory.
Ideal Candidate Profile
- Demonstrated ability to lead and deliver production-ready AI/ML projects, particularly in Agentic and Generative AI domains.
- Strong technical proficiency in cloud-based ML platforms (Azure ML) combined with practical data engineering skills.
- Experienced in agile collaboration and cross-functional project delivery within complex technical environments.