Data Engineer

You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.
The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Understanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively.
Responsibilities:
In this role you are required to do analysis and solving of moderately complex problems.
Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures.
The person requires understanding of the strategic direction set by senior management as it relates to team goals.
Primary upward interaction is with direct supervisor or team leads.
Generally interacts with peers and/or management levels at a client and/or within Accenture.
The person should require minimal guidance when determining methods and procedures on new assignments.
Decisions often impact the team in which they reside and occasionally impact other teams.
Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Please note that this role may require you to work in rotational shifts.
Any Graduation, Post Graduate Diploma in Management.
Requirements:
Qualifications: Any Graduation/Post Graduate Diploma in Management.
10-14 years of experience in AI/ML, computational science, or related domains.
Strong expertise in Machine Learning, ML algorithms, and AI fundamentals.
Hands-on experience with Python, TensorFlow, PyTorch, JAX, and Azure Machine Learning.
Experience with Azure OpenAI, AWS SageMaker, MLOps, Docker, version control, and CI/CD.
Proficiency in data engineering, feature engineering, model development, deployment, and experimentation.
Strong understanding of Responsible AI, AI ethics, and synthetic data generation.
Excellent analytical, problem-solving, communication, and teamwork skills.
Experience leading small to medium-sized teams or managing AI/ML projects.
Willingness to work in rotational shifts.

Experience
10-14 yrs