AI / ML Engineer
Accenture · Mumbai · onsite · Posted 49d ago
Undisclosed7–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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 (ML), Large Language Models (LLMs), Python Frameworks, Generative AI
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 and cloud-based AI services. The role requires integrating generative AI models into scalable solutions, ensuring that these applications are production-ready and meet quality standards. Daily activities may include working on deep learning architectures, developing neural network models, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining robust application pipelines, whether on cloud platforms or on-premises, are also key aspects of the role.
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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI-driven solutions that address complex challenges.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Generative AI, Large Language Models (LLMs), Python Frameworks.
- Strong experience in developing and deploying deep learning models using neural networks.
- Expertise in building scalable AI applications with cloud and on-premises infrastructure.
- Ability to integrate generative AI models into production pipelines effectively.
- Familiarity with chatbot development and image processing techniques.
- Skilled in optimizing machine learning workflows for performance and reliability.
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Qualification
15 years full time education
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 (ML), Large Language Models (LLMs), Python Frameworks, Generative AI
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 and cloud-based AI services. The role requires integrating generative AI models into scalable solutions, ensuring that these applications are production-ready and meet quality standards. Daily activities may include working on deep learning architectures, developing neural network models, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining robust application pipelines, whether on cloud platforms or on-premises, are also key aspects of the role.
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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI-driven solutions that address complex challenges.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate with stakeholders to ensure alignment of AI initiatives with organizational goals.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Generative AI, Large Language Models (LLMs), Python Frameworks.
- Strong experience in developing and deploying deep learning models using neural networks.
- Expertise in building scalable AI applications with cloud and on-premises infrastructure.
- Ability to integrate generative AI models into production pipelines effectively.
- Familiarity with chatbot development and image processing techniques.
- Skilled in optimizing machine learning workflows for performance and reliability.
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
cloud platformsml engineerimage processingneural networkscloud aiai servicesChatbotchatbot developmentLarge Language Models (LLMs)PythoncloudAI ToolsDeep LearningGenerative AiArtificial IntelligenceMachine Learning
About Accenture

Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
Industries
IT Services & ConsultingAnalytics & KPOSoftware ProductManagement Consulting
Employee ratings
73,428 reviews
3.7/ 5
Culture
3.7
Career growth
2.8
Work-life
3.6
Employees rate it well for
Work Life Balance8779Work Culture7586Salary7496Learning5602Senior Management4852
Find them on