AI / ML Engineer

Project Role :AI / ML Engineer


Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Machine Learning Operations

Good to have skills :DevOps
Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet the diverse needs of the organization and its clients.

Must have:
Hands-on experience on CI/CD Continuous Testing, Experience with PromptOps including logging, testing, monitoring, and prompt versioning. Strong cloud architecture experience with Azure Cloud and its services, Hands-on experience with Kubernetes, Docker, and Helm for container orchestration, Experience with Infrastructure as Code using Terraform (preferred) or ARM templates, Monitoring and logging (Native Azure monitoring tools, Prometheus, Grafana)
Experience with GitLab CI/CD pipelines for infrastructure and application (frontend/backend) deployment, Experience implementing DevSecOps practices



Roles Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor and evaluate the performance of AI models to ensure optimal functionality.



Professional Technical Skills::
-
Must To Have Skills:
Proficiency in Machine Learning Operations.
- Good To Have Skills:Experience with DevOps.
- Strong understanding of cloud-based AI services and their integration.
- Experience in developing and deploying machine learning models in production environments.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.




Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.
- This position is based at our Pune office.
- A 15 years full time education is required.


Qualification : 15 years full time education