Senior machine learning engineer

4 weeks ago

Shivamogga, India Wabtec Corporation Full time

Role Summary/Purpose The Sr. Data Scientist, 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 Sr. Data Scientist 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. Essential Responsibilities In addition, you will: Help set and execute the vision for scalable AI solutions at Wabtec and drive a culture of applied innovation Work closely with the DAT ML engineers to build and deploy highly scalable AI solutions that drive business value for our business units and customers Set the architecture and framework for scalable video analytic solutions (edge and cloud) that can be leveraged throughout different parts of the business Partner with the head of DAT and business development teams to engage directly with business unit and external customers to understand pain-points Be a machine learning cross-functional leader with organizations such as, Freight Engineering, Services, Transit Engineering, Digital Electronics, Freight Components, Mining and Marine operations to drive new computer vision solutions and opportunities Lead education and awareness of deploying AI solutions throughout Wabtec to build the pipeline for advanced data scientists within the organization Be involved in external collaboration efforts with startups, incubators and universities to grow Wabtec’s AI skill base and resource arm Act as coach for to others in driving digital industrial solutions across all functional engineering areas Qualifications/Requirements 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, Tensor Flow, Py Torch, Hugging Face) A minimum of 4 years of experience as a data scientist, machine learning or computer vision engineer Familiarity with LLM architectures like BERT and GPT, with hands-on experience in building applications Has had experience in deploying scalable AI solutions that solve industry problems Desired Characteristics 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

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