AI/Machine Learning Engineer
Role & Eligibility Summary
About the Company & Role Overview
The AI/Machine Learning Engineer will assist in building and maintaining ML and basic Generative AI pipelines, including data preprocessing, training, and inference. The role involves supporting the development of RAG-based and NLP workflows, contributing to backend APIs using FastAPI, and integrating AI models into applications. Candidates are expected to write clean Python code and collaborate with cross-functional teams to deliver features.
Selection Process & Interview Rounds
• Round 2: Technical Interview 1 (DSA, Code Optimization & Project Deep Dive)
• Round 3: HR & Fitment Discussion (Work Culture, Relocation, Compensation & Next Steps)
Resume Tips & Application Guidance
• Include verified GitHub repository links showcasing clean, modular code with descriptive README files.
• Tailor your resume keywords to match Siemens's core tech stack for maximum ATS readability.
Perks & Benefits
• Professional mentorship from experienced senior team members
• Competitive compensation package with structured career growth opportunities
How to Apply for AI/Machine Learning Engineer
1. Click the "Apply Now" button to visit Siemens's official careers portal.
2. Complete your personal, contact, and academic details.
3. Upload your updated ATS-friendly resume and submit your application.
Frequently Asked Questions (FAQ)
1. Who is eligible to apply for AI/Machine Learning Engineer at Siemens?
Candidates meeting the qualification criteria and freshers / 0-1 years experience can apply.
2. What is the job location for this position?
Please refer to the official job posting for the exact work location.
3. What is the expected selection process at Siemens?
The standard recruitment process involves an Online Assessment, Technical Round, and HR Discussion.