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 : AWS AI Services
Good to have skills : Large Language Models (LLMs), GitHub, Machine Learning Operations
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 solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on creating chatbots and image processing applications, ensuring that all systems are optimized for performance and reliability. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects, driving innovation and efficiency in 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.
- Facilitate knowledge sharing and mentorship within the team to enhance overall skill levels.
- Evaluate and implement best practices in AI and machine learning to improve project outcomes.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS AI Services.
- Good To Have Skills: Experience with AI Agents & Workflow Integration, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation, Kubernetes, GitLab CI/CD, Infrastructure As Code (IaC), DevOps, Machine Learning Operations, Prometheus Event Monitoring System, Grafana, Elastic Stack (ELK), Data Observability, SRE Observability
- Strong understanding of cloud computing principles and architecture.
- Experience in developing and deploying machine learning models in production environments.
- Familiarity with data preprocessing and feature engineering techniques.

Additional Information:
- The candidate should have minimum 7.5 years of experience in AWS AI Services.
- This position is based at our Pune office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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