AI / ML Engineer
- Accenture
- 10 - 12 years
- Bengaluru
- 12 days ago
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Job Description
Project Role :AI / ML EngineerProject 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 :Large Language Models (LLMs)
Good to have skills :NA
Minimum 12 year(s) of experience is required
Educational Qualification :15 years full time educationSummary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative AI models to solve complex problems and may extend to areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to align technical implementations with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and deployment of AI models ensuring alignment with organizational objectives.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to optimize AI workflows and enhance system performance.Professional Technical Skills:
Must To Have Skills:
- Proficiency in Large Language Models (LLMs).
- Experience in designing and implementing AI solutions using generative AI techniques.
- Strong understanding of deep learning architectures and neural network frameworks.
- Familiarity with cloud AI services and deployment pipelines for scalable applications.
- Ability to work with conversational AI systems such as chatbots and natural language processing tools.
- Knowledge of image processing techniques and their integration within AI applications.
Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Chennai office.
- A 15 years full time education is required.
Qualification
15 years full time education
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: AccentureLocation(s): Bengaluru+ View Contact
Keyskills: ml engineer image processing natural language processing generative ai conversational ai ai solutions skill development neural networks ai artificial intelligence cloud ai cloud deep learning ai tools language models ai models ml
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