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
AI / ML Engineer - Accenture - Gurugram
Accenture is seeking an experienced AI / ML Engineer to join our team in Gurugram. In this role, you will be instrumental in developing and implementing cutting-edge applications and systems powered by artificial intelligence and machine learning. You will leverage cloud AI services and build robust, production-ready application pipelines, both on-cloud and on-premise. A key aspect of this role involves applying Generative AI (GenAI) models as part of comprehensive solutions. Your responsibilities will extend to various domains including deep learning, neural networks, chatbot development, and image processing.
About the Role
As an AI / ML Engineer, you will be expected to act as a Subject Matter Expert (SME). You will collaborate with and manage a team, taking responsibility for team decisions and contributing to key strategic decisions across multiple teams. Your role will involve problem-solving for your immediate team and extending solutions across broader organizational units. Mentoring junior team members to foster their skill development will be a crucial part of your responsibilities. Continuous evaluation and improvement of existing AI models and systems are also expected.
Key Responsibilities:
- Lead and manage AI/ML projects and teams.
- Develop and deploy AI/ML applications using AI tools and cloud AI services.
- Implement production-ready application pipelines with high-quality standards.
- Integrate Generative AI models into solutions.
- Work with deep learning, neural networks, chatbots, and image processing technologies.
- Collaborate with cross-functional teams for successful AI solution deployment.
- Provide technical leadership and solutions to complex problems.
- Mentor and guide junior engineers.
- Continuously enhance and optimize AI models and systems.
Must-Have Skills:
- Machine Learning Operations (MLOps)
Good-to-Have Skills:
- Experience with cloud platforms (AWS, Azure, Google Cloud).
- Strong understanding of deep learning frameworks (TensorFlow, PyTorch).
- Proven experience in deploying machine learning models in production environments.
- Proficiency in data preprocessing and feature engineering techniques.
Experience and Qualifications:
- Minimum 5 years of experience in Machine Learning Operations.
- 15 years of full-time education is required.
Company
