Senior Machine Learning Engineer
Wabtec - Bengaluru, KA, India
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Machine Learning Engineer Bengaluru, KA, India Company Description: Job Description: Summary: The Senior ML Engineer, working as part of Wabtec's Digital Advanced Technologies (DAT) team will be responsible for architecting and deploying new advanced AI computer vision solutions throughout the freight and passenger transportation industry. DAT is a cross-disciplined entrepreneurial group that carries out applied research in AI/ML, designs and deploys cutting edge algorithms and new digital solutions throughout the Wabtec portfolio of businesses. The candidate will work closely with DAT's ML engineers and Wabtec's cloud architects to deploy scalable machine learning and deep learning solutions in cloud and edge video analytics, robotics and automation systems. Experience & Qualifications: Masters in engineering, Physics, Chemistry, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience. Experience in the fields of AI/ML product development, generative AI, MLOps, edge computing Experience and proficiency in writing production worthy code python, GO or similar languages. Proficient with deep learning frameworks - (Open CV, TensorFlow, PyTorch, HuggingFace, Langchain) A minimum of 4 years of experience as a data scientist, machine learning or computer vision engineer Hands on experience with LLM architectures, fine-tuning LLMs, RAG based applications, vector databases Exposure to AWS model oriented services deploying and orchestrating ML/LLM workloads on Bedrock or Sagemaker services. Has had experience in deploying scalable AI solutions that solve industry problems Strong interpersonal, leadership and communication skills A critical thinker that can quickly understand a new problem space and apply analytic techniques to
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