AI / ML Engineer

8109 ASOL-Chennai SEZ Company; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accenture in Chennai CDC2F SEZ seeks an experienced AI/ML Engineer to develop AI-driven applications and deploy production-ready pipelines. You will leverage GenAI tools where appropriate while maintaining strong core DS fundamentals in Python and SQL.

The role requires 8+ years in Data Science, hands-on ML development, and cross-team collaboration. Expect hybrid work from multiple locations and a focus on scalable, validated models with measurable outcomes.

Qualifications

• Strong experience with traditional ML techniques such as regression and classification.
• Deep expertise in Python and SQL with predictive modeling.

Responsibilities

• Act as SME; collaborate and guide the team to deliver AI/ML solutions.
• Make key team decisions and ensure alignment with business goals.
• Engage with multiple teams and translate requirements into technical specs.
• Lead design and deployment of AI-driven solutions with measurable impact.
• Mentor teammates and drive knowledge sharing across the org.
• Coordinate with stakeholders to gather requirements and translate into work plans.
• Monitor progress and optimize workflows and deliverables.
• Develop, train, and deploy ML models for classification, regression, and analytics use cases.
• Perform data exploration, preprocessing, and feature engineering on large datasets.
• Apply statistical techniques to derive meaningful insights for decisions.
• Design robust model validation (CV, A/B tests, tuning).
• Hyperparameter tuning to improve accuracy and efficiency.
• Write optimized SQL for data extraction/analysis and build Python data pipelines.
• Collaborate with data engineers and business stakeholders on solutions.
• Ensure model performance monitoring and documentation.
• Communicate findings clearly to technical and non-technical stakeholders.
• Shift B Support: 11 AM PST cut-off.
• Return to Office: 5-day RTO across Chennai, Coimbatore, Hyderabad, Bangalore.

Skills

Data Science

MySQL

Machine Learning

Python Frameworks

Education

15 years full time education

Tools

Python (Pandas/NumPy/Scikit-learn)

SQL (advanced querying)

Statistics & Probability

ML algorithms (LR, Linear, Trees)

ML lifecycle tools (MLflow)

Cloud platforms (Azure/AWS/GCP)

Databricks / Apache Spark / PySpark

Job description

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

• Data Science, MySQL, Machine Learning (ML), Python Frameworks

Good to have skills

• NA

Minimum experience

Minimum 5 year(s) of experience is required

Educational Qualification

15 years full time education

Summary

We are looking for a skilled Data Scientist with strong experience in traditional machine learning techniques such as regression, classification, and statistical modeling. The ideal candidate should have deep expertise in Python and SQL, strong analytical thinking, and hands‑on experience in building and validating predictive models. This role is not focused on GenAI/NLP, and candidates with heavy LLM-focused profiles without strong core Data Science fundamentals may not be suitable.

Roles & Responsibilities

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the design and implementation of AI-driven solutions ensuring alignment with business objectives.
• Facilitate knowledge sharing and mentoring within the team to foster professional growth.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Monitor project progress and implement improvements to optimize workflows and deliverables.
• Develop, train, and deploy machine learning models for classification, regression, and predictive analytics use cases
• Perform data exploration, preprocessing, and feature engineering on large and complex datasets
• Apply statistical techniques (hypothesis testing, distributions, variance analysis) to derive meaningful insights
• Design and execute robust model validation frameworks (cross-validation, A/B testing, performance tuning)
• Conduct hyperparameter tuning to improve model accuracy and efficiency
• Write optimized and scalable SQL queries for data extraction, transformation, and analysis
• Build reusable and scalable Python-based data science pipelines
• Collaborate with data engineers and business stakeholders to understand requirements and translate them into analytical solutions
• Ensure model performance monitoring, documentation, and reproducibility
• Communicate findings, insights, and model outcomes clearly to technical and non-technical stakeholders
• Shift B Support: Availability to provide support until 11 AM PST.
• Return to Office: Mandatory 5-day RTO from 4 strategic office locations. (Chennai, Coimbatore, Hyderabad and Bangalore)

Professional & Technical Skills

• Python (Pandas, NumPy, Scikit-learn, etc.)
• SQL (advanced querying, optimization, transformations)
• Solid understanding of statistics and probability: Distributions, hypothesis testing, variance, confidence intervals
• Hands‑on experience with machine learning algorithms: Logistic Regression, Linear Regression & Tree-based models (Random Forest, Gradient Boosting, XGBoost)
• Model validation techniques (cross-validation, train-test strategies)
• Hyperparameter tuning approaches (grid search, random search, Bayesian optimization)
• Data cleansing, transformation, and feature engineering
• Good understanding of algorithms and data structures fundamentals: Sorting, searching, and basic graph concepts
• Ability to work independently and handle end‑to‑end problem‑solving
• Hands‑on experience with: Databricks / Apache Spark / PySpark
• Exposure to Healthcare Analytics domain: Claims data, CMS reimbursement, population health, Medicare Advantage
• Experience in: Building and deploying inference/prediction pipelines
• Familiarity with: ML lifecycle tools (MLflow, Azure ML, etc.)
• Exposure to cloud platforms (Azure/AWS/GCP)

Additional Information

• The candidate should have minimum 8 years of experience in Data Science.
• This position is based at our CDC2F - SEZ location.
• Shift B Support: Availability to provide support until 11 AM PST.
• Return to Office: Mandatory 5-day RTO from 4 strategic office locations. (Chennai, Coimbatore, Hyderabad and Bangalore).
• 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

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join agreat place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture