AI / ML Engineer

Accenture; Mumbai; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Accenture in Mumbai is seeking an AI/ML Engineer to design and build AI-powered applications and production-ready pipelines leveraging cloud AI services. The role includes implementing generative AI models, deep learning, neural networks, and image processing, with strong cross-team collaboration to meet project goals.

The candidate will work on scalable, reliable AI systems, mentoring juniors and aligning solutions with business requirements to deliver AI-driven products from conception to

Qualifications

• Must Have Skills: Proficiency in Machine Learning (ML), Data Science.
• Strong knowledge of AI frameworks and libraries used for developing ML models.
• Experience deploying AI solutions on cloud platforms and managing production pipelines.

Responsibilities

• SME level collaboration; lead and manage the team.
• Make key design decisions across multiple teams.
• Engage with multiple teams to contribute on core decisions.
• Provide scalable AI solutions that meet business requirements across projects.
• Lead design and implementation of AI/ML solutions for business needs.
• Mentor junior team members for growth and technical development.
• Coordinate cross-functional efforts to integrate AI models into existing systems.

Skills

Data Science

Machine Learning (ML)

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

Data Science, Machine Learning (ML)

Good to have skills

NA

Minimum experience

7.5 year(s) 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.

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.

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