AI / ML Engineer

Accenture PLC; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Accenture is seeking an AI/ML Engineer in Bengaluru to develop applications and systems that leverage artificial intelligence tools and cloud AI services, building production‑ready pipelines and integrating GenAI models.

You will work with Google Cloud Data Services, data engineering and data science tasks, and deploy machine learning models in production while collaborating across teams to meet business and technical needs.

Qualifications

• Proficiency in Google Cloud Data Services.
• Experience with Data Engineering, Data Science and Google BigQuery.
• Strong understanding of cloud-based architecture and services.
• Experience deploying machine learning models in production.
• Proficiency in Python or Java for AI/ML applications.

Responsibilities

• Subject matter expert with deep knowledge and experience.
• Influencing and advisory skills.
• Engage with multiple teams and be responsible for team decisions.
• Provide cross-team solutions to business area problems.
• Facilitate knowledge sharing sessions to enhance team capabilities.
• Analyze and evaluate existing systems to identify areas for improvement and optimization.

Skills

Google Cloud Data Services

Data Science

Data Engineering

Google BigQuery

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

Google Cloud Data Services

Good to have skills

Data Science, Data Engineering, Google BigQuery

Other Requirements

Minimum 18 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready application pipelines, ensuring high-quality outputs, and integrating generative AI models into solutions. You will also explore various advanced technologies, including deep learning, neural networks, chatbots, and image processing, to enhance the functionality and efficiency of the systems you develop. Collaboration with cross-functional teams will be essential to ensure that the solutions meet business needs and technical requirements.

Roles & Responsibilities

• Expected to be a Subject Matter Expert with deep knowledge and experience.
• Should have influencing and advisory skills.
• Engage with multiple teams and be responsible for team decisions.
• Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
• Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning.
• Analyze and evaluate existing systems to identify areas for improvement and optimization.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Google Cloud Data Services.
• Good To Have Skills: Experience with Data Engineering, Data Science, Google BigQuery.
• Strong understanding of cloud-based architecture and services.
• Experience in developing and deploying machine learning models in production environments.
• Proficiency in programming languages such as Python or Java for AI and machine learning applications.

Additional Information

• The candidate should have minimum 18 years of experience in Google Cloud Data Services.
• This position is based at our Bengaluru 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.

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