Custom Software Engineering Lead

Project Role :Custom Software Engineering Lead


Project Role Description :Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Must have skills :Automation Architecture

Good to have skills :NA
Minimum 15 year(s) of experience is required

Educational Qualification :15 years full time education

As an AI / ML Engineer, a typical day involves designing and building sophisticated applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.

Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the evaluation and adoption of emerging AI technologies to enhance system capabilities.
- Mentor junior team members to support their professional growth and technical expertise.

Professional & Technical Skills:
-
Must To Have Skills:
Proficiency in Automation Architecture.
- Strong expertise in designing scalable AI application pipelines for both cloud and on-premises environments.
- Experience integrating generative AI models and deep learning techniques into production systems.
- Ability to develop and optimize neural network architectures and chatbot frameworks.
- Familiarity with image processing algorithms and their application within AI solutions.
- Skilled in collaborating with cross-disciplinary teams to deliver robust AI-driven products.


Additional Information:
- The candidate should have minimum 15 years of experience in Automation Architecture.
- This position is based at our Chennai office.
- A 15 years full time education is required.

Qualification15 years full time education