AI / ML Engineer @ Accenture

Job Description

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 3 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology.
Roles Responsibilities:

Expected to perform independently and become an SME.

Required active participation/contribution in team discussions.

Contribute in providing solutions to work related problems.

Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.

Continuously monitor and optimize the performance of AI models and applications. Professional Technical Skills:Must To Have Skills:Proficiency in Machine Learning Operations.

Good To Have Skills:Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong understanding of model deployment and monitoring techniques.

Experience with containerization technologies like Docker and Kubernetes.

Familiarity with programming languages such as Python or R for data analysis and model development.
Additional Information:

The candidate should have minimum 3 years of experience in Machine Learning Operations.

This position is based at our Bengaluru office.

A 15 years full time education is required.
Qualification15 years full time education

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Accenture
Location(s): Bhubaneswar

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Accounting / Finance Advertising / MR / PR / Events Agriculture / Dairy Animation / Multimedia Architecture / Interior Design Astrology Automobile / Auto Ancillaries / Auto Components Aviation / Airline / Aerospace / Aeronautical Banking / Financial Services / Broking BPO / Call Center / ITeS Brewery / Distillery Broadcasting Cement / Building Material Chemical / Petro / Plastic / Rubber / Glass Consumer Electronics / Appliances / Durables Courier / Transportation / Freight Defence / Government Education / Teaching / Training Electricals / Switchgears Engineering / Construction / Cement / Metals Environment / Waste Management Export / Import / Trading Facility Management Fertilizers / Pesticides FMCG / Foods / Beverage Food Processing Furnishings / Ceramics / Sanitaryware / Electricals Gems / Jewellery Gifts / Toys / Stationary Government / Departmental Heat Ventilation / Air Conditioning Hotel / Restaurant Industrial Design Industrial Products / Heavy Machinery Insurance Internet / E-Commerce IT - 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Keyskills:   ml engineer image processing kubernetes python data analysis neural networks ai cloud platforms machine learning artificial intelligence cloud ai docker containerization deep learning r aws programming ml azure