Associate - AI Engineer I/II
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Associate - AI Engineer I/II
Location
Bangalore
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
### Job Title
Associate - AI Engineer I/II
### Job Description
**Job Title:** Associate AI Engineer I/II
**Your Role:**
• 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're the right fit if:**
• 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.
**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.
• Learn more about [our business](https://www.philips.com/a-w/about.html).
• Discover [our rich and exciting history](https://www.philips.com/a-w/about/our-history.html).
• Learn more about [our purpose](https://www.philips.com/a-w/about/environmental-social-governance/our-purpose).
If you’re 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 [here](https://www.careers.philips.com/global/en/our-culture).
#LI-PHILIN
#DIW
Key Responsibilities
- Collaborate on AI DevOps activities to streamline development, testing, deployment, and monitoring.
- Participate in technical discussions to ensure robustness, scalability, and maintainability of AI solutions.
- Integrate machine learning models into end products, ensuring compatibility and performance.
- Handle data processing activities including cleansing, validation, and verification.
- Train and retrain AI systems to adapt to changing data distributions and business requirements.
- Perform statistical analysis and fine-tuning of AI models using test results and hypothesis testing.
- Provide guidance and mentorship to junior team members within the DevOps team.
- Contribute to requirements gathering, design discussions, code reviews, and quality assurance.
- Interact with business, market, and IT stakeholders to formulate actionable requirements.
- Conduct thorough testing, validation, and verification to identify and address defects.
Requirements
- Bachelor's Degree in Computer Science
- Information Management
- Data Science
- Econometrics
- Artificial Intelligence
- Applied Mathematics
- Information Technology or equivalent
Skills Required
AI DevOpsMachine LearningData HandlingData AnalyticsAI ModelingStatistical AnalysisModel Fine-tuningData CleansingData ValidationCode ReviewsQuality AssuranceCollaborationMentorshipCommunicationProblem SolvingAttention to Detail
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