Siemens

Research Group Head: Machine Learning and Predictive Analytics

Bengaluru, India
TensorFlow PyTorch AWS Azure Machine Learning Deep Learning
Description

Hello Eager Tech Expert!

To create a better future, you need to think creatively. That’s why we at Siemens need innovators who aren’t afraid to push boundaries to join our diverse team of tech gurus. Got what it takes? Then help us build lasting, positive impact!

We are looking for a Research Group Head: Machine Learning and Predictive Analytics

As a Research Group Head in Machine Learning and Predictive Analytics, you will lead a team of highly skilled data scientists and engineers to conduct groundbreaking research and pre-development sought at addressing critical technological challenges and driving innovation within the organization. You will be at the forefront of improving AI to drive innovation and business value.

You’ll break new ground by:

  • Strategic Leadership
  • Develop and implement a long-term research vision and strategy aligned with the department’ overall business objectives.

o   Identify emerging AI technologies and market trends to anticipate future needs and opportunities.

o   Develop and implement a comprehensive AI strategy aligned with the company's overall goals.

§  Clearly articulate the outstanding benefits of your research and how it differentiates from existing solutions.

§  Constantly seek problems that your research can address. Consider the potential market demand and the value proposition of your solution.

  • Research Management
  • Lead all aspects of the planning, execution, and monitoring of multiple research projects and prioritize optimally to improve research output and impact.
  • Establish and maintain strong relationships with academic institutions, and Business unit partners to facilitate collaboration and knowledge transfer.
  • Encourage risk-taking by creating a culture where experimentation and failure are seen as opportunities for learning and growth.
  • Organize events that encourage rapid prototyping and idea generation.
  • Assess and mitigate the risks associated with AI deployment, including model bias, security vulnerabilities, and productization concerns.
  • Technical Expertise
  • Possess deep technical expertise in relevant scientific or engineering fields.
  • Proficiency in deep learning frameworks (TensorFlow, PyTorch) and architectures (CNNs, RNNs, Transformers).
  • Proficiency in Generative AI tooling, building RAG pipelines, and familiarity with genetic frameworks
  • Familiarity with AI development tools, cloud platforms (AWS, Azure), and MLOps pipelines.
  • Stay informed about AI regulations and industry standards.
  • Team Management
  • Recruit, hire, and develop a high-performing team of researchers and engineers.
  • Provide mentorship and guidance to team members to enhance their skills and career growth.
  • Create a collaborative and inclusive work environment that encourages knowledge sharing and collaboration.
  • Plan and implement the investments/budget as the cost centre owner.
  • Implement governance for the Research Group.
  • Collaborate with other Research Groups to enhance driven edge at the region / TF level.
  • Intellectual Property
  • Protect the company's intellectual property through invention disclosures and patents.
  • Encourage a culture of intellectual property creation and commercialization.
  • External Engagement
  • Represent the company at industry conferences, workshops, and other external events.
  • Build and maintain a strong professional network to enhance the company's reputation.

Qualifications and Skills:

  • Advanced degree or equivalent experience (Master’s, Ph.D. or equivalent) in a relevant scientific or engineering field.
  • Consistent track record of leading successful teams and delivering impactful results.
  • Deep understanding of the research landscape and emerging technologies.
  • Ability to handle multiple projects simultaneously and meet deadlines.
  • Experience in working across international boundaries.

This role offers a unique opportunity to shape the future of technology and make a significant contribution to the company's success.

Create a better #TomorrowWithUs!

  • We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
  • Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens.

Siemens
Siemens
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