AI / ML Engineer
Qualifications
Experience Level: Senior Level
- </b><li>- <br /><br />Must To Have <br /><br /><b>Skills:</b></li><li>Proficiency in Machine Learning Operations.- Good To Have <br /><br /><b>Skills:</b></li><li>Experience with cloud platforms such as AWS
- or Google Cloud.- Strong understanding of deep learning frameworks like TensorFlow or PyTorch.- Experience in deploying machine learning models in production environments.- Familiarity with data preprocessing and feature engineering techniques. <br /><br />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.<br /><br /><b> Qualification</b> 15 years full time education</li>
Full Job Description
Accenture is seeking an experienced AI / ML Engineer to join our team in Ahmedabad. This role involves developing cutting-edge applications and systems that leverage artificial intelligence tools, cloud AI services, and production-ready application pipelines. You will be instrumental in applying Generative AI (GenAI) models as part of innovative solutions. Your expertise will extend to deep learning, neural networks, chatbots, and image processing.
As an AI / ML Engineer, you will be expected to act as a Subject Matter Expert (SME), collaborating with and managing teams to drive project success. You will be responsible for key team decisions, engage with multiple cross-functional teams, and provide solutions to complex problems. Mentoring junior team members to foster their growth and continuously evaluating and improving existing AI models and systems are also core responsibilities.
Key Responsibilities:
- Act as a Subject Matter Expert (SME).
- Collaborate with and manage teams.
- Make critical team decisions.
- Engage with multiple teams and contribute to strategic decisions.
- Provide solutions for immediate team and cross-team challenges.
- Mentor junior team members.
- Continuously evaluate and improve AI models and systems.
Technical Skills:
Must-Have Skills:
- Proficiency in Machine Learning Operations (MLOps).
Good-to-Have Skills:
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Strong understanding of deep learning frameworks (TensorFlow, PyTorch).
- Experience deploying machine learning models in production.
- Familiarity with data preprocessing and feature engineering.
Qualifications and Experience:
- Minimum 5 years of experience in Machine Learning Operations.
- 15 years of full-time education required.
This is an exciting opportunity to contribute to advanced AI initiatives in Ahmedabad.
Company
