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
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Work Flexibility: Hybrid Who we want Detail-oriented process improvers. Critical thinkers who naturally see opportunities to develop and optimize work...
How to applyProject Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI to improve performance...
How to applyEvery day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in...
How to applyProject Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI to improve performance...
How to applyWHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry,...
How to applyAI/ML Software Developer Description – Job Overview We are seeking an experienced and talented Senior Machine Learning Engineer with expertise...
How to apply