AI / ML Engineer

Accenture; Hinoba-an; On-site; PHP 1,322,000 - 1,984,000; Full time

Job summary

Accenture in Mumbai seeks an AI/ML Engineer to design and build applications that leverage AI tools and cloud AI services, delivering production-ready pipelines. You will apply GenAI models, deep learning, neural networks, and image processing to real-world problems.

You\'ll collaborate across teams, mentor junior colleagues, and lead the design and integration of AI solutions into existing systems, ensuring reliability and scalable deployment in production environments.

Qualifications

• Must have expertise in ML and Data Science.
• Experience deploying AI on cloud platforms with production pipelines.
• Knowledge of generative AI models, deep learning, neural networks, image processing.

Responsibilities

• SME role, collaborate and manage the team to perform.
• Make key design and architectural decisions for AI solutions.
• Engage with multiple teams and drive cross-functional integration of AI models.
• Propose scalable and robust AI/ML solutions across projects.
• Lead design and implementation of AI/ML solutions meeting business needs.
• Mentor junior team members for growth and technical development.
• Coordinate efforts to integrate AI models into existing systems.

Skills

Machine Learning

Data Science

DevOps

MLOps

GenAI

Education

15 years full-time education

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 : Machine Learning Operations, DevOps

Good to have skills : NA

Minimum Experience : 12 years of experience is required

Educational Qualification : 15 years full time education

Summary

As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating these solutions into robust pipelines that are suitable for production environments, ensuring reliability and scalability. The engineer works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical solutions with project goals is a key aspect of daily activities, fostering innovation and efficiency in delivering AI-driven products.

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.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the design and implementation of AI and machine learning solutions that meet business requirements.
• Mentor junior team members to support their professional growth and technical development.
• Coordinate cross-functional efforts to ensure seamless integration of AI models into existing systems.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Machine Learning (ML), Data Science.
• Strong knowledge of AI frameworks and libraries used for developing machine learning models.
• Experience in deploying AI solutions on cloud platforms and managing production pipelines.
• Familiarity with generative AI models and their practical applications in real-world scenarios.
• Ability to work with deep learning architectures, including neural networks and image processing techniques.
• Skilled in designing scalable and maintainable AI systems that align with organizational goals.

Additional Information

• The candidate should have minimum 12 years of experience in Machine Learning (ML).
• This position is based at our Mumbai office.
• A 15 years full time education is required.

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.