About this 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 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 : Amazon Sagemaker
Good to have skills : Amazon Web Services (AWS)
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 designing and implementing production-ready application pipelines, ensuring high-quality standards. 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 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.
- 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 Amazon Sagemaker.
- Good To Have Skills: Experience with Amazon Web Services (AWS).
- Strong understanding of machine learning frameworks and libraries.
- Experience in deploying AI models in cloud environments.
- Familiarity with data preprocessing and feature engineering techniques.
- The candidate should have minimum 7.5 years of experience in Amazon Sagemaker.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Qualification
15 years full time education
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 : Amazon Sagemaker
Good to have skills : Amazon Web Services (AWS)
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 designing and implementing production-ready application pipelines, ensuring high-quality standards. 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 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.
- 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 Amazon Sagemaker.
- Good To Have Skills: Experience with Amazon Web Services (AWS).
- Strong understanding of machine learning frameworks and libraries.
- Experience in deploying AI models in cloud environments.
- Familiarity with data preprocessing and feature engineering techniques.
- The candidate should have minimum 7.5 years of experience in Amazon Sagemaker.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Qualification
15 years full time education
Skills
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