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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Research, implement, and evaluate advanced AI techniques that can be transitioned into production agentic systems.
Hands-on ability to use Claude Code, Codex, Cursor, Jupyter, Hugging Face and Weights & Biases or MLflow to reproduce papers, implement model and agent experiments, generate evaluation pipelines and convert successful notebooks into tested packages or services.
Must have built substantive AI systems or research implementations beyond coursework. Preference will be given to candidates whose work has been deployed or integrated into real products.
Roles & Responsibilities:
- Implement experiments involving foundation models, agents, retrieval, reasoning, or multimodal AI.
- Build datasets, benchmarks, evaluation harnesses, and reproducible pipelines.
- Analyze model behavior, errors, robustness, latency, and cost.
- Convert successful experiments into modular, tested engineering components.
- Collaborate with production engineers to integrate and validate new methods.
- Track relevant research and reproduce promising techniques.
- Document findings, trade-offs, and implementation guidance.
Professional & Technical Skills:
- Python, machine learning, deep learning, and data analysis.
- Model APIs, open models, embeddings, retrieval, and evaluation.
- Experimental design, statistical validity, and reproducibility.
- Moving beyond notebooks into tested services, libraries, or pipelines.15 years full time education
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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Research, implement, and evaluate advanced AI techniques that can be transitioned into production agentic systems.
Hands-on ability to use Claude Code, Codex, Cursor, Jupyter, Hugging Face and Weights & Biases or MLflow to reproduce papers, implement model and agent experiments, generate evaluation pipelines and convert successful notebooks into tested packages or services.
Must have built substantive AI systems or research implementations beyond coursework. Preference will be given to candidates whose work has been deployed or integrated into real products.
Roles & Responsibilities:
- Implement experiments involving foundation models, agents, retrieval, reasoning, or multimodal AI.
- Build datasets, benchmarks, evaluation harnesses, and reproducible pipelines.
- Analyze model behavior, errors, robustness, latency, and cost.
- Convert successful experiments into modular, tested engineering components.
- Collaborate with production engineers to integrate and validate new methods.
- Track relevant research and reproduce promising techniques.
- Document findings, trade-offs, and implementation guidance.
Professional & Technical Skills:
- Python, machine learning, deep learning, and data analysis.
- Model APIs, open models, embeddings, retrieval, and evaluation.
- Experimental design, statistical validity, and reproducibility.
- Moving beyond notebooks into tested services, libraries, or pipelines.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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