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 : 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 quality pipelines, whether in cloud environments or on-premises. You will also explore the application of generative AI models as part of your solutions, which may encompass various advanced technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful integration of these technologies into existing systems and workflows.
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 enhance overall skill levels.
- Continuously evaluate and improve existing processes and systems to optimize performance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of model deployment and monitoring techniques.
- Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.
- Experience in developing and implementing machine learning algorithms and frameworks.
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning Operations.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
