Associate - AI Engineer I/II
Philips
Bengaluru, Karnataka, IndiaMID
AIDevOpsHealth Technology
Job Description
Collaborates on AI DevOps activities to streamline development and testing processes.
Responsibilities
- 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.
- 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.
- Integrates deployable versions of machine learning models developed by data scientists into end products, ensuring compatibility, performance, and reliability of all system components.
- 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.
- Trains and retrains AI systems as necessary to adapt to changing data distributions, business requirements, and performance objectives, optimizing model performance through iterative refinement.
- 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.
- 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.
- 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.
- 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.
- 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.
- You have Bachelor's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Information Technology or equivalent with min. 5 years of experience in areas such as Data Handling, Data Analytics, AI Modeling or equivalent.
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Qualifications
- Bachelor's Degree in relevant fields
- 5 years of experience in AI-related areas