Data and AI Engineer

Philips
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Ownership","Learning mindset","Collaboration","Agility","Technical knowledge-sharing"]

Develop and deploy computer-vision AI models for an integrated, image-guided clinical platform. You’ll design, train, and validate object-detection and tracking systems, implement MLOps pipelines for production monitoring and lifecycle management, and deliver scalable solutions using AWS, Databricks, Kubernetes, and Bedrock. Collaborate with engineering and data teams on schemas, labeling strategies, and real-time inference performance while ensuring explainability, clinical safety, and regulatory readiness.

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Philips
Philips
1 week ago

Data and AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 days agoStatus: Closed
Reposted: similar role first listed 5 months ago

Job Summary

Develop and deploy computer-vision AI models for an integrated, image-guided clinical platform. You’ll design, train, and validate object-detection and tracking systems, implement MLOps pipelines for production monitoring and lifecycle management, and deliver scalable solutions using AWS, Databricks, Kubernetes, and Bedrock. Collaborate with engineering and data teams on schemas, labeling strategies, and real-time inference performance while ensuring explainability, clinical safety, and regulatory readiness.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, train, and validate computer-vision models for live camera feed use cases.
  • •Implement multi-class object-detection and tracking solutions using CNN-based and modern deep-learning architectures.
  • •Deploy machine learning models using technologies such as Databricks, AWS, and Kubernetes, including AWS and Bedrock for scalable solutions.
  • •Implement and manage MLOps pipelines for continuous integration, delivery, and monitoring, including model versioning, deployment, and rollback.
  • •Integrate observability and monitoring tools, build dashboards for AI/ML metrics and impact, and author technical documentation such as model cards and reproducible training pipeline artifacts.

Key Requirements

  • •10+ years of hands-on experience developing and deploying computer-vision or imaging-AI models and deploying cloud-based AI solutions.
  • •Bachelor’s or master’s degree in computer science, machine learning, data science, artificial intelligence, or a related field.
  • •Strong computer vision experience including image classification, object detection, and real-time visual tracking pipelines.
  • •Expertise in MLOps best practices, model lifecycle management, and production-grade AI/ML systems.
  • •Proficiency with Python and deep-learning frameworks (PyTorch or TensorFlow) for training, fine-tuning, and deploying deep-learning models.
Experience:10+ years
Education:Bachelor's
Skills:OwnershipLearning mindsetCollaborationAgilityTechnical knowledge-sharing
Tech Stack:Computer visionCNN-based architecturesYOLOResNetEfficientDetFaster R-CNNDatabricksAWSKubernetesBedrockMLflowAirflowClearMLPythonPyTorchTensorFlowDataDogPrometheusSplunkDynatrace

Company Brief

Philips
Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.
Industry: HealthTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 1891
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn