AI / ML Engineer

Posted:
12/16/2024, 4:00:00 PM

Location(s):
Madhya Pradesh, India ⋅ Indore, Madhya Pradesh, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

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 : BE

Summary: As a Machine Learning Operations Engineer, you will be responsible for developing and deploying AI applications and systems utilizing cloud AI services and production-ready pipelines. Your typical day will involve applying GenAI models, deep learning, neural networks, chatbots, and image processing to deliver impactful data-driven solutions. Roles & Responsibilities: - Design and develop AI applications and systems utilizing cloud AI services and production-ready pipelines. - Apply GenAI models, deep learning, neural networks, chatbots, and image processing to deliver impactful data-driven solutions. - Collaborate with cross-functional teams to ensure the successful deployment of AI applications and systems. - Ensure the quality and integrity of data by implementing data munging techniques, including data cleaning, transformation, and normalization. - Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Experience in developing and deploying AI applications and systems utilizing cloud AI services and production-ready pipelines. - Must To Have Skills: Strong understanding of GenAI models, deep learning, neural networks, chatbots, and image processing. - Good To Have Skills: Experience with TensorFlow, PyTorch, and other machine learning frameworks. - Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or GCP. - Good To Have Skills: Experience with containerization technologies such as Docker and Kubernetes. Additional Information: - The candidate should have a minimum of 5 years of experience in Machine Learning Operations. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Mumbai office.

BE

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com 

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing