Senior Machine Learning Engineer
On-site · Bengaluru, Karnataka, India
Job Summary
Architect and deploy advanced AI computer vision solutions within Wabtec's Digital Advanced Technologies (DAT) team for the freight and passenger transportation industry. Lead the vision and architecture for scalable video-analytic solutions (edge and cloud), collaborate with DAT ML engineers and cloud architects to deploy scalable ML/DL workloads, and drive cross-functional engagement with business units and external partners. Lead education and awareness of deploying AI solutions across the organization, foster collaboration with startups, incubators and universities, and act as a coaching resource to grow internal AI capabilities. Strong emphasis on leadership, cross-functional influence, and delivering business value through applied AI/ML in industrial contexts.
Required 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 identify potential value
- Demonstrated thought leader with an interest in working on Digital Industrial transformation
- Demonstrated change agent with strong credibility and ability to influence across the organization
- Demonstrated engineering thought leader with experience developing and executing engineering solutions for businesses to gain efficiency
- Demonstrated commitment for process improvement
- Experience with product management
- Strong command & working knowledge of engineering workflow processes
- Responsibilities: See description for related bullet points
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.