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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML engineering with a focus on developing and deploying machine learning models and data processing pipelines. Proficient in Python and modern AI frameworks, with a strong background in Agile methodologies and cross-functional collaboration.
Highest-signal resume keywords
AI/ML EngineeringPython ProgrammingAzure MLDatabricksGenerative AI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData EngineeringData Processing PipelinesAgentic AIProduction Deployment
Soft Skills
CollaborationInnovationDiversity Promotion
Tools & Technologies
Azure MLDatabricksGenAI Frameworks
Certifications & Qualifications
Azure AI/ML CertificationDatabricks CertificationGenerative AI Specialties Certification
Industry Keywords
AgileScrumCross-Functional TeamsMobility Technology
Tech Stack
Tools & technologiesAzurePython
About the role
Key responsibilities & impact- As an AI/ML Specialist, you’ll have the opportunity to shape the future of mobility by working on cutting-edge technology.
- Collaborate with a team to develop and implement AI solutions that enhance our mobility offerings.
- Engage in the full life cycle of AI projects, from ideation to deployment, ensuring high-quality production standards.
- Utilize modern tools and frameworks to design efficient data processing pipelines and machine learning models.
- Contribute to a diverse and inclusive culture, promoting collaboration and innovation within the team.
Requirements
What you’ll need- Bachelor’s or Master’s in Computer Science, Any Engineering, Data Science, or a related field
- 4-6 Years of professional experience in AI/ML engineering, including at least 1-2 Yrs of hands‑on Agentic AI & Generative AI
- 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
Benefits
Comp & perks- 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, and a clear path for advancement.
- 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.
