Machine Learning Operations Engineer - Manager

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 : DevOps Architecture
Good to have skills : NA
Minimum 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 application pipelines, ensuring high-quality outputs, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop.

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 and mentoring within the team to foster professional growth.
- Evaluate and implement new technologies and tools to improve system performance and efficiency.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in DevOps Architecture.
- Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of continuous integration and continuous deployment practices.
- Experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
- Familiarity with scripting languages such as Python or Bash for automation tasks.

Additional Information:
- The candidate should have minimum 5 years of experience in DevOps Architecture.
- This position is based at our Indore office.
- A 15 years full time education is required.