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: Python (Programming Language)

Good to have skills: NA

Minimum 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

We are looking for an experienced and highly skilled Python + Gen AI Full Stack Engineer with 8–10 years of professional experience in software engineering, specializing in machine learning, large language models (LLMs), and generative AI technologies. The ideal candidate will possess deep technical expertise in Python front-end and back-end development, end-to-end AI/ML solution design, and large-scale model deployment. The role requires strong problem-solving abilities, architectural vision, and hands-on experience with state-of-the-art Gen AI tools and frameworks.

Roles & Responsibilities:

1. Design, develop, and maintain scalable AI-driven applications using Python and front-end technologies.
2. Architect and implement full-stack solutions integrating LLMs and generative AI capabilities.
3. Build and fine-tune large language models (OpenAI, Hugging Face Transformers, etc.) for various enterprise applications.
4. Collaborate with data scientists and product teams to define AI use cases, prototypes, and production-grade deployments.
5. Integrate APIs and develop microservices to enable LLM-based features in web applications.
6. Manage model lifecycle, including training, evaluation, versioning, and deployment.
7. Implement best practices for data preprocessing, vector databases, embeddings, and prompt engineering.
8. Ensure performance, scalability, and security of AI applications.
   9.Stay current with Gen AI trends, research, and emerging tools in the AI/ML ecosystem.
   10.Conduct code reviews, mentor junior developers, and contribute to technical documentation and architecture planning.

Professional & Technical Skills:

1.Languages & Frameworks: Expert in Python, Fast API, Flask, Django Proficient in HTML, CSS, JavaScript, React or Vue.js.
2. Machine Learning & Deep Learning: Strong understanding of supervised/unsupervised learning, model training, feature engineering, Py Torch, Tensor Flow.

Generative AI & LLMs:

1. Hands-on experience with OpenAI API, Lang Chain, Hugging Face Transformers, and Retrieval-Augmented Generation (RAG).
2. Proficient in prompt engineering, embeddings (e.g., FAISS, Pinecone), and vector stores.
3. Experience in fine-tuning LLMs and integrating them into enterprise applications.
4. DevOps & Deployment: Docker, Kubernetes, CI/CD pipelines, REST APIs, Git.
5. Data Technologies: Pandas, NumPy, SQL, NoSQL (MongoDB, Redis), data pipelines.
6. Cloud Platforms: Azure, AWS, or GCP for model training, serving, and scalable infrastructure.
7. MLOps Tools: MLflow, Weights & Biases, or similar platforms for model monitoring and experimentation tracking.
   Software Development Best Practices: Agile methodologies, unit testing, TDD, code versioning, architectural design patterns.

Additional Information:

1. bachelor s or master s degree in computer science.

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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