Opportunity at
BoschDevOps/MLOps Specialist
Bosch is hiring a DevOps/MLOps Specialist for an on-site position in Bengaluru. This full-time role focuses on designing, building, and maintaining production-grade artificial intelligence systems, with…
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About This Role
Bosch is hiring a DevOps/MLOps Specialist for an on-site position in Bengaluru. This full-time role focuses on designing, building, and maintaining production-grade artificial intelligence systems, with a strong emphasis on machine learning and large language model operations. The position suits professionals experienced in cloud infrastructure, containerization, and automation who want to build scalable architectures for advanced AI technologies. The chosen candidate will handle end-to-end model lifecycles, manage continuous integration and…
Job Description
Bosch is hiring a DevOps/MLOps Specialist for an on-site position in Bengaluru. This full-time role focuses on designing, building, and maintaining production-grade artificial intelligence systems, with a strong emphasis on machine learning and large language model operations. The position suits professionals experienced in cloud infrastructure, containerization, and automation who want to build scalable architectures for advanced AI technologies.
The chosen candidate will handle end-to-end model lifecycles, manage continuous integration and delivery pipelines, and collaborate closely with software developers, machine learning engineers, and data scientists. Responsibilities include creating data workflows, implementing robust monitoring solutions, optimizing system performance using hardware acceleration, and maintaining governance standards. The role also requires staying current with emerging innovations in generative artificial intelligence and applying industry best practices to improve deployment efficiencies.
Responsibilities
- Design and implement end-to-end MLOps and LLMOps pipelines from training to production deployment
- Develop automation for managing large language models in cloud environments to maximize efficiency and cost-effectiveness
- Implement and integrate continuous integration and continuous deployment pipelines into production environments
- Partner with software developers, machine learning engineers, and data scientists to deliver scalable systems
- Construct data pipelines and workflows for model training and serving utilizing orchestration tools
- Establish monitoring systems to track model performance, diagnose issues, and verify system reliability
- Optimize deployed models for cost, speed, and accuracy alongside hardware acceleration utilizing GPUs and TPUs
- Manage version control, governance, and lifecycle processes for machine learning and large language models
- Research current advancements in MLOps, LLMOps, and generative AI to integrate innovative practices
Requirements
- Five or more years of experience in MLOps
- At least two years of direct experience with LLMOps pipelines for large language models
- Demonstrated background in deploying, managing, and scaling machine learning models in cloud environments
- Proficiency with cloud platforms such as AWS, GCP, and Azure
- Expertise in containerization technologies including Docker and Kubernetes
- Experience developing continuous integration and continuous deployment pipelines using tools like Jenkins, GitLab CI, or CircleCI
- Familiarity with automation utilities such as Terraform or Ansible
- Hands-on practice deploying models via frameworks like TensorFlow Serving, TorchServe, Kubeflow, or MLflow
- Knowledge of monitoring and alerting systems including Prometheus and Grafana
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face
- Expertise in data engineering tools like Apache Kafka, Apache Airflow, or Apache Beam
- Understanding of AI security and governance practices, model versioning, compliance regulations like GDPR, and ethical frameworks
- Strong programming skills in Python
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- Experience with AI and Generative AI technologies
- BE, MCA, MTech, or BTech degree
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the employment type for this role?
This is a full-time position.
Where is the position located?
The role is located on-site in Bengaluru.
What is the salary for this position?
The job posting does not specify the salary.
What experience level is required?
Candidates must have at least 5 years of experience in MLOps, including a minimum of 2 years working specifically with LLMOps pipelines for large language models.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
