Quick Summary
- 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.
15 years full time educationSummary: As an 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 (ML), Natural Language Processing (NLP), Azure OpenAI Service, Python Frameworks, GENERATIVE AI
Good to have skills : NA
Minimum 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 tools and cloud-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on-premises, ensuring solutions are production-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning architectures, neural networks, conversational agents, and image processing techniques. Collaboration with cross-functional teams to align technical solutions with business needs is a key aspect of daily activities, alongside continuous innovation and optimization of AI-driven systems.
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 and machine learning solutions that meet project requirements and quality standards.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals and timelines.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Azure OpenAI Service, Python Frameworks, Natural Language Processing (NLP).
- Strong experience in developing and deploying machine learning models in cloud environments.
- In-depth understanding of generative AI models and their practical applications.
- Familiarity with deep learning techniques, including neural networks and image processing.
- Ability to design scalable and maintainable AI pipelines for production environments.
- Experience with chatbot development and conversational AI systems.
Must have skills
Azure AI Foundry, Azure Machine Learning, Azure OpenAI
Python, PySpark, MLflow, model deployment
Azure Data Factory, Databricks, Snowflake integration
NLP, classification, predictive modeling, GenAI basics
Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Visit us at www.accenture.com
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.
Location & Eligibility
About this job
- Posted
- Today
Listing Details
- Posted
- November 3, 2026
- First seen
- November 3, 2026
- Last seen
- November 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- November 3, 2026
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