Company Background
RBIH is a wholly-owned subsidiary of the RBI to promote and facilitate an environment that accelerates innovation across the financial sector. RBIH intends to foster and evangelise innovation across the financial sector to enable “Frictionless Finance for a Billion Indians”. To do so, RBIH serves to enable synergy between technology companies, banks, non-banking financial companies, fintech, academia, behavioural economists, and investors through three pillars of focus – Product innovation, Process innovation, and Policy innovation, spearheaded by technology.
Background of the role
As an ML Ops Consultant, you will be responsible for designing, implementing, and maintaining the infrastructure and processes needed to deploy machine learning models in a production environment. You will work closely with data scientists, engineers, and other stakeholders to ensure the successful deployment, monitoring, and optimization of ML models.
Educational Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience: 3-5 years’ experience in ML Ops, with a focus on deploying and managing ML models in production environments.
Key Responsibilities
- Model Deployment: Design and implement scalable and efficient deployment strategies for ML models using Cloud or on-premise solutions.
- Pipeline Automation: Develop and maintain CI/CD pipelines for ML models, ensuring seamless integration from development to production.
- Infrastructure Management: Set up and manage the infrastructure required for model training, testing, and deployment, including Kubernetes, Docker, and other containerization technologies.
- Monitoring & Maintenance: Implement monitoring and logging solutions to ensure the reliability and performance of deployed models. Troubleshoot and resolve any issues related to model performance or infrastructure.
- Collaboration: Work closely with data scientists and engineers to understand model requirements and provide guidance on best practices for deployment and operationalization.
- Security & Compliance: Ensure that all ML deployments adhere to security best practices and comply with relevant regulatory requirements.
- Documentation: Create and maintain comprehensive documentation for ML deployment processes, infrastructure setup, and troubleshooting guides.
Required Skills
TECHNICAL SKILLS
- 3-5 years experience with containerization technologies (Docker, Kubernetes).
- Strong knowledge of CI/CD tools (Jenkins, GitLab CI, etc.).
- Proficiency in programming languages such as Python, Java, or C++.
- Familiarity with ML frameworks (TensorFlow, PyTorch, etc.).
- Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, etc.).
- Proficiency in cloud platforms (AWS, Azure, Google Cloud).
SOFT SKILLS
- Strong problem-solving skills and the ability to troubleshoot complex issues.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple tasks simultaneously.
Last Date to apply
Location
Department
Employment type
Apply to
Apply Now
Write to careers@rbihub.in
Have Something to Tell Us?
Let’s hear yours.