MLOPs Engineer
Bengaluru, India
Applications have closed
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.Company Description
Robert Bosch Engineering and Business Solutions 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 18,000 associates, it’s the largest software development centre 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
As an MLOps Engineer, you will join the Video Perception team, at the forefront of autonomous vehicle development. Our goal is to sense physical objects in the world using Deep Learning and other cutting-edge technologies
Must Have requirements (Hands On experience):
- Rich hands-on experience in writing object-oriented code using Python
- 3+ years of experience in MLOps and Data engineering, including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous training & deployment, and automated pipelines
- Understanding of Data Structures, Data Systems and data base management, and software architecture
- Experience in using MLOps frameworks like Kubeflow, MLFlow, Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes
- Cloud Exposure: Experience with Azure cloud services, Azure functions, Azure compute environments, etc.
- Build and optimize MLOps pipeline from data curation to automatic model deployment
- Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark
- Improve system architecture and infrastructure on Cloud for high-performance and scalable platform.
Qualifications
Exposure Needed:
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
- Work throughout machine learning products/services integration pipeline i.e., model inference, service integration, service testing, deployment, and maintenance.
Minimum Requirements:
- B.Sc. in Computer Science / Software Engineering
- 3+ years of experience in MLOps and Data engineering,
Additional Information
Good to have:
- Experience with SQL and working with cloud technologies
- Experience with numerical/ML python libraries (NumPy, Pandas, Pyspark, TensorFlow)
- Experience with CICD pipelines
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Azure Computer Science Deep Learning DevOps Docker Engineering Keras Kubeflow Kubernetes Machine Learning MLFlow MLOps Model deployment Model inference NumPy Pandas Pipelines PySpark Python PyTorch Spark SQL TensorFlow Terraform Testing
Perks/benefits: Career development
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