TymblHub

© 2026 TymblHub

AI / ML Engineer

Accenture
Posted on
Accenture logo

Experience
2 - 5 yrs
Salary (CTC)
₹17.8L - ₹19.6L
Job Location
Mumbai, India
Vacancy
1
Designation
Ai Ml Engineer
Job Type
ONSITE

Job Description


 About The Role  



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



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, 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 pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you develop. 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.- Facilitate knowledge sharing and mentoring within the team to foster a collaborative environment.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical


Skills:
  • -

    Must To Have


    Skills:
  • Proficiency in Machine Learning Operations.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Strong understanding of AI frameworks and libraries such as TensorFlow, PyTorch, or Keras.- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.- Ability to design and implement scalable machine learning models and pipelines.

    Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required.

     Qualification 15 years full time education
  • No Referrers Available

    There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.