AI / ML Engineer
Qualifications
Experience Level: Senior Level
- </b><li>- <br /><br />Must To Have <br /><br /><b>Skills:</b></li><li>Proficiency in Machine Learning Operations.- Good To Have <br /><br /><b>Skills:</b></li><li>Experience with cloud platforms such as AWS
- or Google Cloud.- Strong understanding of deep learning frameworks like TensorFlow or PyTorch.- Experience in deploying machine learning models in production environments.- Familiarity with data preprocessing and feature engineering techniques. <br /><br />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.<br /><br /><b> Qualification</b> 15 years full time education</li>
Full Job Description
About the Role
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 pipelines 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, and image processing.
Must-Have Skills: Machine Learning Operations
Good-to-Have Skills: None specified
Experience Required: Minimum 5 years
Educational Qualification: 15 years full-time education
Summary
As an AI / ML Engineer based in Chennai, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful deployment of AI-driven solutions.
Roles & Responsibilities:
- Expected to be a Subject Matter Expert (SME).
- Collaborate and manage the team's performance.
- Responsible for team decisions.
- Engage with multiple teams and contribute to key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge.
- Continuously evaluate and improve existing AI models and systems.
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 deep learning frameworks like TensorFlow or PyTorch.
- Experience in deploying machine learning models in production environments.
- Familiarity with data preprocessing and feature engineering techniques.
Additional Information:
The candidate should have a minimum of 5 years of experience in Machine Learning Operations. A 15-year full-time education is required.
Qualification
15 years full-time education
Company
