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 (ML)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.

Roles & Responsibilities:
- Design and scale distributed systems that handle long-running tasks across thousands of claims in parallel.
- Build modular Python APIs and services that interface with external APIs, vector stores, and LLM APIs.
- Use AWS services (Lambda, S3, API Gateway, CloudWatch) to build event-driven microservices.
- Ensure robust error handling, retry logic, and idempotency in execution paths.
- Collaborate with the orchestration lead and AI team to support prompt execution, state management, memory & checkpointing and policy-driven routing.
- Build for observability: logging, tracing, and metrics collection in a serverless/cloud-native setup.


Professional & Technical Skills:
- 5+ years Python development experience, in backend or systems engineering roles.
- Deep understanding of asyncio, async/await, event loops, and cooperative multitasking in Python.
- Strong grasp of OOP principles, design patterns, and code modularity (factories, dependency injection, etc.).
- Solid experience with distributed system design, including:
- Task partitioning
- Stateless vs stateful service patterns
- Concurrency vs parallelism
- Queue-based orchestration (e.g., using AWS SQS, Step Functions)
- Experience with REST APIs, JSON serialization, and building fault-tolerant cloud services.
- Experience with AWS Lambda, API Gateway, S3, and IAM.
- Skilled in CI/CD pipelines, logging (e.g., CloudWatch), and debugging in production-like environments.

Additional Information:
-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.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 atwww.accenture.com

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