DevOps and MLOps Specialist
1 week ago
We are seeking a highly motivated and experienced DevOps and MLOps Specialist to join our team at Arya Solutions. The ideal candidate will have a strong background in DevOps practices and experience in building and deploying scalable and efficient applications using popular tools such as Jenkins, GitLab CI/CD, and Kubernetes.
The successful candidate will be able to design, develop, prototype, and maintain backend APIs for generative AI, recommender system, and other internal-facing applications. They will also be able to work with data scientists to implement and deploy machine learning models, and develop and maintain data pipelines to collect, clean, and prepare and process data for machine learning training and inference use cases.
Responsibilities:
- Design, develop, prototype, and maintain backend APIs for generative AI, recommender system, and other internal-facing applications
- Work with data scientists to implement and deploy machine learning models
- Develop and maintain data pipelines to collect, clean, and prepare and process data for machine learning training and inference use cases
- Monitor and troubleshoot backend systems to ensure availability and performance
- Excellent problem-solving and debugging skills
- Work with other developers to build and enhance a robust and scalable MLOps backend infrastructure
You will be working with the agile team and platform engineering team towards delivering specific milestones and objectives in an agile environment.
Requirements:
- Minimum 4-7 years of experience in the software industry
- At least 3+ years of experience with Python programming
- At least 2+ years of experience in API development, preferred to use the Flask/FastAPI framework
- At least 2+ years of experience in UI development using Vue or ReactJS
- Experience in planning, designing, developing, architecting, and implementing cloud solutions with AWS platform is a plus
- Hands-on experience in one or more of the following technologies: MongoDB, RDBMS (e.g MySQL/Postgres), Apache Kafka and ElasticSearch
- Experience with microservices architecture and application containerisation (e.g Docker and Kubernetes)
- Good knowledge and experience in CI/CD technologies and best practices, experience in supporting production applications
- Proficiency in data processing, data science or data analytic is a plus
- Team Player who is self-driven and proactive in learning new technologies and skills
Bonus points:
- Experience with Machine learning Model or MLOps
- Experience with distributed systems and/or DevOps practices
Qualifications:
- Bachelor or Master degree in Engineering or a related technical field, or equivalent practical experience
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