Technical Architect MLOPs
Location
Bangalore | India
Job 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 22,700 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
We are in the exciting and cutting-edge space of autonomous driving. We are looking for passionate and experienced engineers who would join us in this journey and design algorithms fit for Level 3 – Level 5 autonomous systems.
- Overall experience: 6 Years to 10 Years
- Should have experience in ML Pipeline tools like MLFlow, KubeFlow, Kubernetes, etc
- Should be experienced in industry best practices like Infra as code (Terraform), Cloud, Docker
- Should have some past experience in ML Model development and data engineering (ETL pipelines)
- Nice to have - Experience with Azure Services, past experience in ML model monitoring, retraining.
- Strong and Hands on Experience in Python
Tech skills: MLFlow, KubeFlow, Kubernetes Docker.
Qualifications
:
Strong technical background.
Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 6 years of industry experience in designing and implementing perception algorithms.
- You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before.
- Prior knowledge of working with deep neural networks is a strong plus.
- A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
- Ability to build and iterate quickly (AGILE mindset). You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
- Hands on. You dig deep into important details such as the sensor driver if it improves the overall system. You like working with production machine learning pipelines, from dataset collection and labeling to training and validation.
- Great communicator. You have experience writing clear, concise, and detailed documentation.Should be able to explain technical solutions clearly to non-technical/different audience
- Problem solver: You are expected to solve systemic problems
Qualifications
Bachelors/Master of Engineering in Computer Science or Electrical Sciences
Additional Information
6 - 10 years
Job tags
Salary
