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 pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning and neural networks, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential as you work to implement innovative solutions that meet the needs of the organization and its clients.
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 improve existing systems and processes to optimize performance and efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Strong understanding of cloud-based AI services and their integration into applications.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data preprocessing and feature engineering techniques.
- Knowledge of deployment strategies for machine learning models in production environments.
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.
