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About the role
Job Description Job Responsibilities: u2022 Collaborates extensively on AI DevOps activities, leveraging multiple tool sets at the solution level to streamline development, testing, deployment, and monitoring processes with moderate complexity. u2022 Participates in discussions related to technical requirements, designs, and quality standards, providing inputs to ensure the robustness, scalability, and maintainability of AI solutions, working under direct supervision. u2022 Integrates deployable versions of machine learning models developed by data scientists into end products, ensuring compatibility, performance, and reliability of all system components. u2022 Handles data processing activities, including data cleansing, validation, and verification, to ensure the integrity and quality of data used for analysis and model training, with a focus on continuous improvement. u2022 Trains and retrains AI systems as necessary to adapt to changing data distributions, business requirements, and performance objectives, optimizing model performance through iterative refinement. u2022 Performs statistical analysis and fine-tuning of AI models using test results, hypothesis testing, and validation techniques to validate model assumptions, identify areas for improvement, and optimize model parameters. u2022 Contributes to activities within the DevOps team, providing guidance, mentorship, and support to junior team members, and facilitating collaboration and knowledge sharing across the team. u2022 Participates in the AI development process, working in pairing mode with equal team members, and actively contributing to requirements gathering, design discussions, code reviews, and quality assurance activities. u2022 Interacts with business, market, and IT stakeholders to formulate clear and actionable requirements for AI solutions, ensuring alignment with business goals, user needs, and technical capabilities. u2022 Ensures the quality of data and AI solutions developed, conducting thorough testing, validation, and verification activities to identify and address defects, errors, and performance issues before deployment. To succeed in this role, you should have the following skills and experience u00B7 BE, BTech or MTech in Computer Science/Engineering, Information technology or equivalent u00B7 7+ years in software development/engineering including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution. u00B7 Proficiency in leveraging AI-assisted development tools to accelerate design, coding, testing, and documentation with high-quality outcomes. u00B7 Thrives in an agile, entrepreneurial, start-upu2013like environment with strong ownership, learning mindset and the drive to rapidly iterate, validate and deliver customer centric solutions. u00B7 The individual must be able to communicate directions and provide guidance to engineers in the team, as required. u00B7 Experience building scalable, cloud native data warehouse and relative tools for viewing and uploading/downloading data u00B7 Strong proficiency in technology stacks for full stack development u2013 C++, Python, Web (javascript/typescript, CSS, HTML), Microservices, Databases (mongoDB or similar) u00B7 Hands-on experience in database design, implementation, tuning and migration u00B7 Experience in working on Amazon web services (AWS) is a must have. u00B7 Experience with GitHub or Azure Dev Ops is desired u00B7 Experience in automation test frameworks like Cucumber/Selenium, Junit or equivalent is added advantage. u00B7 Experience in developing low latency high data throughput applications is a must have u00B7 Experience working on CI/CD pipelines is added advantage. u00B7 Strong knowledge of all phases of the software development lifecycle u00B7 Ability to analyze and solve complex problems. Strong desire to learn and adapt to new technologies and challenges u00B7 Ability to identify key technical risks and develop mitigation and recovery plan u00B7 Ability to mentor the team technically u00B7 Ability to innovate and foster innovation u00B7 Extremely good communication and presentation skills u00B7 Strong interpersonal and communication skills with the ability to interface in a cross-disciplinary manner, including engineers, product managers, and clinical specialists u00B7 Self-motivated individual with good organizational and time management skills u00B7 Familiarity with medical devices and/or working in a regulated environment a plus How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations. Indicate if this role is an office/field/onsite role. u00A0 About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. u2022 Learn more about . u2022 Discover . u2022 Learn more about . If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care . #LI-Philin
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