Senior MLOPS Engineer

  • Full-time
  • Legal Entity: Bosch Global Software Technologies Private Limited

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Key Responsibilities

  • Data Architecture Design: Lead the design and implementation of scalable data architectures that support both data processing and machine learning workflows.
  • ETL Development: Develop and manage ETL (Extract, Transform, Load) processes to ensure efficient data ingestion, cleaning, and transformation for machine learning applications.
  • Model Development: Collaborate with data scientists to design, build, and deploy machine learning models that address business needs and improve operational efficiency.
  • Performance Monitoring: Monitor the performance of data pipelines and machine learning models in production, making necessary adjustments to optimize performance and accuracy.
  • Team Leadership: Mentor and guide a team of data engineers and machine learning engineers, fostering a collaborative environment focused on continuous improvement.
  • Cross-Functional Collaboration: Work closely with product managers, software engineers, UI/UX and other stakeholders to align data initiatives with business objectives.

Required Skills

  • Technical Proficiency: Strong programming skills in languages such as Python; experience with big data technologies is essential.
  • Machine Learning Knowledge: Understanding of machine learning algorithms, frameworks, and best practices for model development and deployment.
  • Data Management Expertise: Proficiency in database management systems (SQL and NoSQL), data modeling, and ETL tools.
  • Cloud Computing Experience: Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying data solutions and machine learning models.
  • Leadership Skills: Excellent communication and interpersonal skills to lead teams effectively and collaborate across departments.

Qualifications

B.E

Additional Information

7 - 9 Years

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