Senior Machine Learning Engineer

4 days ago


bangalore, India Wabtec Corporation Full time

Role Summary/PurposeThe 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 ResponsibilitiesIn addition, you will:Help set and execute the vision for scalable AI solutions at Wabtec and drive a culture of applied innovationWork closely with the DAT ML engineers to build and deploy highly scalable AI solutions that drive business value for our business units and customersSet the architecture and framework for scalable video analytic solutions (edge and cloud) that can be leveraged throughout different parts of the businessPartner 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 organizationBe 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 areasQualifications/RequirementsMasters 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 computingExperience and proficiency in writing production worthy code python, GO or similar languages.Proficient with deep learning frameworks – (Open CV, TensorFlow, PyTorch, HuggingFace)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 applicationsHas had experience in deploying scalable AI solutions that solve industry problemsDesired CharacteristicsStrong interpersonal, leadership and communication skills A critical thinker that can quickly understand a new problem space and apply analytic techniques to identify potential valueDemonstrated 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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