AI / ML Engineer
Accenture · Pune · onsite · Posted 64d ago
Not disclosed3–5 yrsfulltimeSourced from
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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 : Data Science
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning 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 engineer works on implementing generative artificial intelligence models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key part of daily activities, ensuring innovative and efficient outcomes.
Roles & Responsibilities:
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 : Data Science
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning 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 engineer works on implementing generative artificial intelligence models and may engage in projects involving deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key part of daily activities, ensuring innovative and efficient outcomes.
Roles & Responsibilities:
- Expected to perform independently and become a subject matter expert.
- Required active participation and contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to continuously improve development processes and methodologies.
- Assist in mentoring junior team members and support their professional growth.
- Engage in research and evaluation of emerging technologies to enhance project capabilities.
- Document technical designs and maintain clear communication with stakeholders.
- Must To Have Skills: Proficiency in Data Science.
- Experience with machine learning frameworks and libraries to develop and deploy models effectively.
- Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms and services to build scalable AI solutions.
- Ability to work with large datasets and perform data analysis to extract meaningful insights.
- Understanding of neural networks, deep learning architectures, and generative AI models.
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our PDC3B - SEZ location.
- A 15 years full time education is required.
Sourced from foundit
Skills
neural networksdata preprocessingfeature engineeringGenerative AI ModelsCloud Platforms and Servicesdeep learning architecturesModel Evaluation Techniquesmachine learning frameworks and librariesData Science
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Accenture
IT Services & Consulting
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