Position- MLOps
Exp- 5-9 yrs
Location- Mumbai, Pune, Bangalore, Chennai and Hyderabad
Deploy, manage and monitor machine learning models in production environments. Collaborate with data scientists and data engineers to design, implement, and optimize machine learning pipelines. Design and implement automated testing and validation processes for machine learning models. Develop and maintain infrastructure and tools for machine learning model training and deployment. Continuously improve and optimize the performance, scalability, and reliability of machine learning infrastructure and applications. Keep up-to-date with the latest developments in machine learning, cloud computing, and DevOps practices. Skills: 4 years of experience in machine learning operations and a strong understanding of AWS technologies. At least 4 years of experience in machine learning operations or a related field. Strong understanding of AWS technologies, including EC2, S3, Lambda, Terraform and SageMaker. Proficiency in programming languages such as Python, Java, or C++. Experience in SageMaker Domains, Studio Lab, Model Registry, Pipelines, Monitoring Experience with containerization technologies such as Docker and Kubernetes. Experience with version control systems such as Git. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Fluent in written and verbal English. You don't have to meet all requirements to be able to apply. Apply if you think you are a good fit and we will take it from there.
2. Responsibilities:
- Collaborate with data scientists and software engineers to deploy machine learning models into production
- Develop and maintain automated pipelines for model training, testing, and deployment
- Monitor and optimize model performance in production environments
- Implement best practices for version control, code review, and continuous integration/continuous deployment (CI/CD)
- Troubleshoot issues related to machine learning models in production
3. Skills:
- Proficiency in machine learning techniques and algorithms
- Strong programming skills in Python
- Experience with cloud computing platforms such as AWS or Azure
- Knowledge of DevOps principles and tools
4. Qualifications:
- Bachelor's degree in Computer Science or related field
- 5-9 years of experience in a similar role
- M.Sc/B.Tech/M.Tech/BE/B.Sc degree in a relevant field is preferred