Senior Machine Learning Engineer

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 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