Job Location: Bangalore
Job Title
System Architect – Data Scientist
Job Description
Philips is a global leader in health technology, committed to improving billions of lives worldwide and striving to make the world healthier and more sustainable through innovation. Driven by the vision of a better tomorrow.
But it’s not just what we do, it’s who we are. We are 80,000, wonderfully unique individuals, with two things in common. An unwavering sense of purpose and a relentless determination to deliver on our customers’ needs. It’s what inspires us to create meaningful solutions – the kind that make a real difference – when it matters most.
The world and our customers’ needs are changing faster than ever before and while we are proud of what we do already, we know we can do more. That’s why we need you, to help us tackle increasingly complex challenges posed by ever evolving health and well-being needs.
In this role, you have the opportunity to make life better
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As a senior member of the data science team, lead and develop future AI toolsuite capabilities, coordinate with clusters/business for AI toolsuite adoption and drive data and AI strategies
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Perform scientific work, leading in internal and external forums, define and lead data science and AI projects.
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Provide thought leadership in AI and data science, data driven AI development.
You are responsible for
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Provide though leadership in AI and data science by evaluating state of the art in AI platforms, tools and frameworks and championing it within Philips
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Keep itself abreast with state-of-the-art advancements in image processing, NLP and numerical data for AI model developments, healthcare solutions
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Develop new AI capabilities as platform services, explore new AI capabilities for end 2 end AI development and their adoption within Philips
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Lead data science and AI projects, delivering key project goals such as technology transfer, adoption in AI solutions, Cluster data and AI usecases, invention disclosures, publications, technotes
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Engage with AI CoE program team and stakeholders and co-lead new initiatives for AI and data strategy. Lead and execute AI CoE epics
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Participate in external and internal forums, conferences. Write new research project proposals, Innovation briefs, whilte paper and technotes on new emerging trends and data and AI.
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Technical leadership in cloud technologies, AWS (platforms, AI tools and pipelines), coordination with HSDP and other domain platform teams
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Participate in department and teal level strategy and capability building initiatives
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Coach and mentor junior team members (AI engineer, scientist, sw developers)
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Follow QMS (CTP, Platforms) and process e.g. research ICBE
KPIs:
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Digital research innovations approved and transferred (as per Technology Roadmap)
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Number of projects proposed in the research portfolio and approved by IPM/AI CoE program
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Number of AI enablers developed within AI toolsuite and their adoption
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All SW transfers to have a maturity score of C.
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Agile maturity in research
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Creative outputs: # of ID’s to IP&S, high impact publications, white paper, technotes
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Number of external talks (invited speaker) and internal (OCCUPAI)
To succeed in this role, you’ll need a customer-first attitude and the following
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Phd or Mtech, with CS/EE background with minimum 10+ year experience in data science and AI. Proof points: AI models, ML algorithms in medical image segmentation and analysis and/or clinical data, NLP)
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Work experience in building I platform assets and services and its adoption
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Work experience in building and deployment cloud based solutions (preference AI based)
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Hands-on experience with HSP (preference HS-Insights) and/or domain platforms
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Language proficiency: Java, Python, R
How we work at Philips
Our newly-adopted hybrid work concept fuses flexibility with collaboration to deliver great outcomes for our people and our customers. We are embracing an approach wherein we spend more time together than apart – which for full-time employees translates to an average of at least 3 days working from the office and up to 2 days from home – for our hybrid roles.
Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way. Hybrid work flexibility means people can meet the changing demands of work and home in the most balanced, productive, and healthy way.
Our hybrid working model is defined in 3 ways:
We believe in the importance of impactful collaboration: There’s a certain energy when everyone’s in the same room that can heighten idea generation and creative friction needed for problem-solving.
We embrace flexibility: Choosing where, when and how to work can vary according to task and team schedules. Flexibility isn’t office or online, it means choosing the space that works best for you, your teams and our customers on a case-by-case basis.
We want to be at our best: The way we work and our workspaces are designed to support our well-being, offer career advancement opportunities, and enable us to be at our best.
Why should you join Philips?
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on innovative, customer-first health technology solutions. Help us improve the health and well-being of billions of people, every year. Ultimately creating a career that no one could have planned for. Even you.
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