DevOps/MLOps Specialist
Bosch•2h ago
bengaluru, inOnsiteFull-timeMid Level5+ yrs exp
Top focus
Devops EngineerMl Ops Engineer
- 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 27,000+ 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.
- Education and Work Experience Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science
- a related field.5+ years of experience in MLOps with at least 2 years working specifically with LLMOps pipelines for large language models.Proven experience in deploying, managing
- optimizing machine learning models in cloud environments at scale.Experience with AI and Generative AI technologies is a plus.· Strong problem-solving abilities and a passion for building scalable, production-grade AI systems.· Lead the design and implementation of end-to-end MLOps and LLMOps pipelines, from model development and training to deployment and continuous monitoring in production environments.· Develop automation for model deployment and management, ensuring scalability, efficiency
- cost-effectiveness, particularly for large language models (LLMs) in cloud environments.· Implement and manage CI/CD pipelines for both ML and LLM models, integrating them seamlessly into the production environment.· Collaborate with data scientists, ML engineers
- software developers to ensure the integration of LLMs and ML models into scalable, production-ready systems.· Build data pipelines and workflows for training and serving models, ensuring efficient data processing and pipeline orchestration using tools like Kubeflow, Airflow
- MLflow.· Create robust monitoring systems for tracking model performance, diagnosing issues
- ensuring the reliability and health of both traditional ML and LLM-based systems.· Optimize the performance of deployed models, focusing on cost optimization, speed
- accuracy, including hardware acceleration (GPUs, TPUs).· Maintain version control, governance
- model lifecycle management for both ML and LLM models using industry-standard tools.· Stay up-to-date with the latest advancements in MLOps, LLMOps
- Generative AI, implementing best practices and innovative approaches to improve the deployment lifecycle. Mandatory Skills: · MLOps & LLMOps Expertise: Solid understanding of MLOps best practices and LLMOps workflows for large language models, ensuring seamless integration of AI systems into production environments.· Cloud Infrastructure & Deployment: Extensive experience with cloud platforms (AWS, GCP, Azure) for deploying and scaling ML/LLM solutions. Expertise in containerization (Docker, Kubernetes) for model deployment and orchestration.· CI/CD Pipelines & Automation: Proficiency in developing and managing CI/CD pipelines for machine learning models using tools like Jenkins, GitLab CI
- automation tools like Terraform or Ansible.· Model Serving & Monitoring: Hands-on experience deploying models using frameworks such as TensorFlow Serving, TorchServe, Kubeflow
- MLflow. Strong understanding of model monitoring and alerting (e.g., Prometheus, Grafana).· Machine Learning Frameworks: Strong knowledge of popular machine learning frameworks like TensorFlow, PyTorch, Hugging Face
- others, with a particular focus on deploying and fine-tuning large language models (e.g., GPT, BERT).· Data Engineering & Pipelines: Expertise in building and managing robust data pipelines using tools like Apache Kafka, Apache Airflow
- Apache Beam to support ML and LLM workflows.· Performance Optimization: Ability to optimize the performance of AI models, including working with distributed systems, model compression
- hardware acceleration (GPUs, TPUs).· Security & Governance: Deep understanding of security and governance best practices for AI systems, including model versioning, compliance with privacy regulations (GDPR)
- ethical AI frameworks.· Programming & Scripting: Strong programming skills in Pyth
- BE, MCA, MTech , BTech
- 6+
Required skills
MLOpsLLMOpsAWSGCPAzureDockerKubernetesJenkinsGitLab CICircleCITerraformAnsibleTensorFlowPyTorchApache Kafka