AI Developer

15 Minutes ago • 5 Years +
Research Development

Job Description

Lead the development and enhancement of cutting-edge algorithms for state-of-the-art ultrasound medical imaging systems, holding overall responsibility for algorithmic tasks. Support and develop the MLOps infrastructure to streamline model deployment, scaling, and maintenance. Implement new algorithmic modules with a focus on computer vision and artificial intelligence. Engage in data science and analytics, including deep learning data preparation, preprocessing, and design/optimization of deep learning networks. Solve complex computer vision and machine learning challenges through research, testing, and analysis, collaborating with cross-functional teams.
Good To Have:
  • Experience with medical imaging techniques and domain knowledge in healthcare technology.
  • Knowledge of software development best practices, testing methodologies, and performance optimization.
  • Experience with developing multi-modal models, integrating different data types.
  • Experience with large language models (LLMs) and natural language processing/understanding.
  • Publications or contributions in relevant scientific conferences or journals.
Must Have:
  • Lead development of cutting-edge algorithms for ultrasound medical imaging systems.
  • Support and develop MLOps infrastructure for model deployment and maintenance.
  • Implement new algorithmic modules focusing on computer vision and artificial intelligence.
  • Engage in deep learning data preparation, preprocessing, and network design/optimization.
  • Solve complex computer vision and machine learning challenges through research and analysis.
  • Collaborate with cross-functional teams to integrate algorithms into products.
  • Minimum B.Sc. in Exact Sciences (Computer Science, Electrical/Electro-optical Engineering, Mathematics, Physics, Biomedical Engineering) or related discipline.
  • At least 5 years of practical experience in algorithm development (computer vision, machine learning, deep learning).
  • Strong programming skills in Python and C++.
  • Familiarity with TensorFlow and PyTorch.
  • Demonstrated ability to independently design and implement end-to-end algorithm solutions.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
  • Proactive and creative mindset, capable of self-learning and adapting to new technologies.
  • Ability to effectively work both independently and as part of a team.
  • Excellent communication skills.
  • Familiarity with agile development processes and version control systems (Git).

Add these skills to join the top 1% applicants for this job

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Your role:

  • Lead the development and enhancement of cutting-edge algorithms for state-of-the-art ultrasound medical imaging systems, holding overall responsibility for algorithmic tasks within the product lifecycle.
  • Support and develop the MLOps infrastructure to streamline model deployment, scaling, and maintenance, ensuring efficient operations and continuous integration.
  • Implement new algorithmic modules with a focus on computer vision and artificial intelligence to drive innovative solutions.
  • Engage in data science and analytics, including:
  • Deep learning data preparation and preprocessing.
  • Design and optimization of deep learning networks for tasks such as classification, segmentation, and tracking.
  • Solve complex computer vision and machine learning challenges through research, testing, and analysis of algorithmic components.
  • Collaborate with cross-functional teams to integrate algorithms into end products and contribute to project strategy and execution.

What Do You Need to Succeed?

  • A minimum of a B.Sc. in Exact Sciences (Computer Science, Electrical/Electro-optical Engineering, Mathematics, Physics, Biomedical Engineering) or a related discipline.
  • At least 5 years of practical experience in algorithm development within the fields of computer vision, machine learning, and deep learning.
  • Strong programming skills with expertise in Python and C++, including familiarity with libraries and frameworks such as TensorFlow and PyTorch.
  • Demonstrated ability to independently design and implement end-to-end algorithm solutions, from problem analysis and mathematical formulation to software development.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) to support MLOps practices.
  • A proactive and creative mindset, capable of self-learning and adapting to new technologies and methodologies.
  • Ability to effectively work both independently and as part of a team, fostering collaboration and knowledge sharing.
  • Excellent communication skills, with the capability to articulate complex technical concepts to various stakeholders.
  • Familiarity with agile development processes and version control systems (e.g., Git) for collaboration and project management.

Additional Preferred Qualifications:

  • Experience with medical imaging techniques and domain knowledge in healthcare technology.
  • Knowledge of software development best practices, testing methodologies, and performance optimization.
  • Experience with developing multi-modal models, integrating different data types such as images, text, and audio to create comprehensive solutions.
  • Experience with large language models (LLMs) and techniques for natural language processing and understanding.
  • Publications or contributions in relevant scientific conferences or journals.

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.

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.

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.

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