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 : Microsoft Azure Machine Learning
Good to have skills : NA
Minimum 12 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 application pipelines, ensuring high-quality outputs. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure that the solutions meet the required standards and effectively address user needs.

Roles & Responsibilities:
- Expected to be an SME.
- Design and implement robust MLOps frameworks (Model Registry, Feature Stores, and Automated Retraining)
- Architect high-performance inference APIs and batch processing systems at scale
- Lead the migration of legacy analytics into modern environments (e.g., Microsoft Fabric or Databricks Lakehouse)
- Ensure all ML deployments meet strict security and regulatory requirements (e.g., data masking, PII protection, and auditability)
- Mentor junior engineers and set coding standards for the engineering team
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.
- Continuously evaluate and improve existing processes and methodologies to drive efficiency.

Professional & Technical Skills:
- Must Have Skills: Proficiency in Microsoft Azure Machine Learning.
- Expertise in Spark/PySpark and distributed computing
- Proven experience with MLOps tools (MLflow, Kubeflow, or Azure Machine Learning)
- Good To Have Skills: Experience with cloud-based AI services.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data preprocessing and feature engineering techniques.
- Experience in deploying machine learning models in production environments.

Additional Information:
- The candidate should have minimum 12 years of experience in Microsoft Azure Machine Learning.
- This position is based at our Bengaluru 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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