
AI / ML Engineer
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
We are seeking an experienced AI / ML Engineer to join our team. In this role, you will develop cutting-edge applications and systems leveraging AI tools and cloud AI services. Your responsibilities will include designing and implementing production-ready application pipelines with a focus on quality. You will also integrate Generative AI models into solutions and explore advanced AI techniques such as deep learning, neural networks, chatbots, and image processing.
As a Subject Matter Expert (SME), you will collaborate with and manage teams, make critical decisions, and provide solutions to complex problems across multiple teams. You will also facilitate knowledge sharing and mentoring to foster a collaborative environment and continuously evaluate new technologies to enhance system performance.
Must-Have Skills:
- Proficiency in Machine Learning Operations (MLOps).
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Strong understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Ability to design and implement scalable machine learning models and pipelines.
Minimum Experience: 5 years in Machine Learning Operations.
Educational Qualification: 15 years of full-time education.
Location: Bengaluru (Note: Original data mentioned Mumbai, but the detailed description specifies Bengaluru. This has been adjusted in the enhanced description to reflect the more specific location provided in the details.)
Company
Accenture
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology, and operations. We partner with clients to ...