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Siemens Digital Industries Software

Machine Learning Engineer

Bangalore, India

Position Summary:

We are seeking a highly skilled Machine Learning Engineer or Computer Scientist to join our dynamic team. The ideal candidate will be proficient in evaluating and integrating state-of-the-art machine learning techniques with our engineering software, aiming to enhance our engineering processes. This role involves understanding the latest advancements in AI/ML, engineering workflows, and developing proof-of-concept demonstrators that combine technology components. The successful applicant will collaborate with a global team of specialists, contributing to innovative projects and driving forward our technological capabilities.

Key Responsibilities:

  • Evaluate and integrate cutting-edge machine learning technologies with existing engineering software to improve and innovate engineering processes.
  • Understand and apply the latest advancements in AI/ML to real-world engineering challenges.
  • Develop, test, and refine proof-of-concept demonstrators that showcase the integration of technology building blocks.
  • Work collaboratively with a global team of experts in various fields to contribute to multi-disciplinary projects.
  • Stay abreast of technological advancements in machine learning and engineering, ensuring the adoption of best practices in project development.

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Qualifications:

  • Degree in Computer Science, Engineering, or a related field with a strong focus on machine learning/AI.
  • Proven experience in evaluating and applying machine learning techniques in an engineering context.
  • Strong understanding of engineering processes and the ability to apply AI/ML principles to improve them.
  • Experience developing proof-of-concept demonstrators or prototypes integrating diverse technology components.
  • Excellent problem-solving skills and the ability to work effectively in a multi-disciplinary, global team.
  • Fluent in programming languages commonly used in machine learning, such as Python

What We Offer:

  • An opportunity to be at the forefront of integrating AI/ML with engineering, contributing to cutting-edge projects.
  • Collaboration with a diverse team of specialists from around the world.
  • A culture that values innovation, creativity, and continuous learning.

Join us in driving innovation at the intersection of machine learning and engineering. Apply now to contribute to our mission of developing technology that shapes the future.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: Siemens_Digital-413943-en-1
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Family Support Resources
    • On-site/Nearby Childcare
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program