Artificial Intelligence and Machine Learning Engineer

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 : 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. Collaborating with cross-functional teams, you will ensure that the systems you develop meet the highest standards of performance and reliability, contributing to innovative projects that push the boundaries of AI capabilities.

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 in AI and machine learning.
- Continuously evaluate and implement new technologies to improve system performance and efficiency.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of machine learning algorithms and their applications.
- Familiarity with data processing frameworks like Apache Spark or Hadoop.
- Ability to design and implement scalable AI solutions.

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