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AI/ML Engineer – Data Engineering Specialist Role at Accenture Pune | 5–10 Years Experience | Apply Now

Lead AI/ML Engineer – Computational Science Specialist (Team Consultant)

Job Opportunity Overview

Accenture is inviting applications for the role of AI/ML Engineer to join its Computational Science Team in Pune. This full-time opportunity is tailored for professionals with 5 to 10 years of experience, particularly in Data Engineering, and offers an exciting chance to lead transformative initiatives leveraging artificial intelligence, machine learning, and cloud-based AI services.

This position provides a platform to drive innovation using advanced AI tools including generative AI models, neural networks, and deep learning systems. Candidates will play a crucial role in delivering production-ready applications and intelligent solutions aligned with Accenture’s global commitment to technology excellence and operational transformation.


Position Details

  • Job Title: AI/ML Engineer – Computational Science Team Lead/Consultant

  • Job No: ATCI-5045047-S1869428

  • Job Type: Full-time

  • Location: Pune

  • Experience Required: 5 to 10 Years

  • Educational Qualification: Minimum 15 years of full-time education

  • Primary Skill: Data Engineering

  • Secondary Skills: AI/ML model integration, Cloud AI services, Image Processing, Deep Learning


About the Role

The AI/ML Engineer role at Accenture is designed for professionals with a passion for solving real-world challenges through artificial intelligence, cloud services, and machine learning technologies. As part of a high-performing team, you will be responsible for the design, development, and deployment of intelligent systems and scalable data pipelines that enable automation, predictive analytics, and advanced decision-making.

This role emphasizes a production-ready development mindset, ensuring that solutions are robust, scalable, and enterprise-compliant. The candidate will also play a key role in integrating Generative AI (GenAI) models and other state-of-the-art machine learning techniques into business-critical solutions.


Key Responsibilities

  • AI Solution Development: Design and develop enterprise-grade AI/ML applications using AI tools and cloud-based AI services (AWS, Azure, GCP).

  • Data Pipeline Engineering: Build, test, and maintain efficient data pipelines and ETL processes to ensure clean and usable data for AI models.

  • GenAI Integration: Leverage generative AI models to enhance business capabilities such as automation, personalization, and predictive insights.

  • Team Leadership: Provide technical direction, mentor junior engineers, and drive decision-making across multiple teams.

  • Cross-Functional Collaboration: Partner with data scientists, cloud engineers, and business analysts to align technological solutions with business goals.

  • Continuous Improvement: Evaluate existing systems and propose enhancements to improve performance, scalability, and maintainability.

  • Problem Solving: Act as a subject matter expert (SME) in Data Engineering and AI to resolve complex challenges across functions.

  • Knowledge Sharing: Guide and support junior engineers by sharing best practices in AI/ML development, data engineering, and cloud computing.


Required Technical Skills

  • Data Engineering Expertise: Proven experience in building data ingestion, transformation, and storage solutions. Proficiency in designing and maintaining scalable ETL pipelines.

  • Cloud Platform Mastery: Hands-on experience with at least one major cloud provider such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

  • Machine Learning Frameworks: Familiarity with tools such as TensorFlow, PyTorch, or similar for developing and training ML models.

  • Programming Languages: Strong coding skills in Python, SQL, and optionally Scala or Java.

  • Database Management: Solid understanding of relational (SQL) and non-relational (NoSQL) databases such as PostgreSQL, MongoDB, Cassandra, etc.

  • Data Modeling: Ability to model large datasets for efficient processing and machine learning use cases.


Desirable Competencies

While the core skill required is in Data Engineering, additional exposure to the following areas will be considered a plus:

  • Chatbot development

  • Image and video processing using deep learning techniques

  • Natural Language Processing (NLP)

  • MLOps and automation tools (e.g., MLflow, Airflow, Kubeflow)

  • DevOps practices in AI/ML deployment

  • CI/CD integration for machine learning workflows


Professional Expectations

  • Lead by example and maintain high standards in code quality, testing, and documentation.

  • Display an agile mindset with the ability to adapt to evolving technologies and business priorities.

  • Demonstrate analytical thinking and innovation in developing AI-powered solutions.

  • Promote collaboration within multidisciplinary teams and across project boundaries.

  • Continuously explore the evolving landscape of generative AI, data science technologies, and robust AI architecture.


Who Should Apply?

This role is ideal for professionals who:

  • Have a minimum of 5 years of proven experience in Data Engineering, with hands-on exposure to AI/ML projects.

  • Are experienced in building and deploying AI models in production environments.

  • Are passionate about cloud computing, data science, and AI-based transformation.

  • Thrive in a collaborative, fast-paced, and innovation-driven environment.

  • Seek to mentor teams and lead initiatives that shape the future of AI adoption in enterprise settings.


About Accenture

Accenture is a Fortune Global 500 company and one of the world’s leading professional services firms. With over 699,000 employees across 120+ countries, Accenture delivers cutting-edge solutions in strategy, consulting, digital, technology, operations, and Accenture Song.

The company is a pioneer in AI-powered business transformation, leveraging one of the largest networks of advanced technology and intelligent operations centers globally. Accenture fosters a workplace culture that values innovation, continuous learning, and inclusive collaboration.

For more information, visit www.accenture.com


Work Location

📍 Pune, India
The selected candidate will work from Accenture’s Pune office, contributing to global projects in an agile and dynamic environment. Some travel could be necessary, subject to the nature and scope of assigned projects.


Minimum Qualifications

  • A Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related discipline

  • Minimum 15 years of full-time education

  • Minimum 5 years of relevant work experience in data engineering or AI/ML systems development


Equal Opportunity Employer Statement

Accenture proudly upholds a workplace culture that values diversity and inclusivity.

Applicants of all backgrounds are encouraged to apply. We maintain a strict non-discrimination policy regarding race, gender, religion, age, sexual orientation, disability, or veteran status.


Why Join Accenture as an AI/ML Engineer?

  • Be part of cutting-edge projects shaping the future of AI across industries

  • Work with world-class talent and global clients

  • Access continuous learning and career advancement opportunities

  • Get exposed to real-world AI deployments at scale

  • Help build responsible AI systems that create lasting impact


Application Process

Click on the “Apply Now” button to start the process—create your profile and upload your latest CV to proceed. You will be contacted by the Accenture recruitment team upon shortlisting.


Conclusion

The AI/ML Engineer role at Accenture’s Pune location is a unique opportunity to lead innovation, mentor teams, and work on high-impact AI solutions. If you are a seasoned data engineer with a flair for building intelligent systems using cloud and AI technologies, this role is tailored for you.

Apply Here

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