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AI / ML Engineer

Accenture · · Hybrid

engineeringhybridmid-levelmachine learningdeep learning
schedule

Posted

5 weeks ago

work

Job type

Full-time

domain

Industry

IT & Software

group

Openings

1

About the role

Careers Job Search Saved Jobs Access Application AI / ML Engineer AI/ML Computational Science Senior Analyst | Full time | Experience: 2-5 years Job No. ATCI-5230663-S1920862 | Nagpur | Required Skill: Large Language Models (LLMs) Save this job Share this job Apply for this job 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 : Large Language Models (LLMs) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 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 artificial intelligence models to enhance system capabilities. Additionally, the role may involve working with deep learning techniques, neural networks, conversational agents, and image processing to create innovative and efficient AI-driven solutions. Collaboration with cross-functional teams to align technical implementations with project goals is also a key part of the daily routine. 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 team members to continuously improve AI model performance and deployment strategies. - Assist in documenting technical processes and best practices to support knowledge sharing within the team. - Support junior team members by providing guidance and sharing expertise to foster professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Experience in designing and implementing AI applications using cloud AI services and on-premises infrastructure. - Strong understanding of generative artificial intelligence models and their practical applications. - Familiarity with deep learning frameworks and neural network architectures. - Ability to develop and optimize AI pipelines for production environments. - Knowledge of chatbot development and image processing techniques. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our Nagpur office. - A 15 years full time education is required. Qualification Locations Additional Information About Accenture Important Notice Similar jobs AI / ML Engineer Hyderabad | Full time | Experience: 5-10 years Required Skill: Large Language Models (LLMs) See this job AI / ML Engineer Bengaluru | Full time | Experience: 2-5 years Required Skill: Machine Learning (ML) See this job AI / ML Engineer Pune | Full time | Experience: 5-10 years Required Skill: Large Language Models (LLMs) See this job Learn more about the hiring process at Accenture Benefits information Hiring process (Q&A) Interview tips Using AI

Key responsibilities

  • check_circleCollaborate with the team on day-to-day project tasks
  • check_circleLearn tools and processes used by the organization
  • check_circleDocument work and participate in team meetings
  • check_circleSupport quality checks and continuous improvement

Requirements

  • check_circleBenefits information
  • check_circleHiring process (Q&A)
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Skills & keywords

accentureaideep learningengineermachine learningml

Benefits & perks

  • check_circleMentorship
  • check_circleCertificate of completion
  • check_circleFlexible work arrangement where applicable