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 : Virtual Agents, API Management
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into various projects, which may encompass deep learning, neural networks, conversational agents, and image processing. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of the daily workflow, alongside continuous refinement and optimization of AI-driven solutions to meet evolving business needs.
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.
- Lead the development and deployment of AI-driven applications ensuring alignment with organizational objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Continuously evaluate emerging AI technologies and recommend their adoption to enhance project outcomes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Virtual Agents, API Management.
- Strong expertise in designing, developing, and deploying conversational AI systems and virtual assistant technologies.
- Experience with cloud platforms and services that support AI workloads and application pipelines.
- Knowledge of integrating generative artificial intelligence models into scalable solutions.
- Familiarity with deep learning frameworks and neural network architectures relevant to AI applications.
- Ability to troubleshoot and optimize AI models and systems for performance and reliability.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Virtual Agents.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
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