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 / 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 and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to refine and enhance these intelligent systems is a key part of daily activities, ensuring that the solutions meet business and technical requirements effectively.
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 system performance and reliability.
- Assist in documenting technical processes and solutions to support knowledge sharing.
- Support junior team members by providing guidance and sharing expertise.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science.
- Experience with machine learning frameworks and libraries to develop and deploy models.
- Strong analytical skills to interpret complex data and generate actionable insights.
- Familiarity with cloud platforms and services to build scalable AI solutions.
- Ability to work with large datasets and perform data preprocessing and feature engineering.
- Knowledge of AI model evaluation techniques and performance optimization.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Summary
Design and build AI applications and systems using cloud AI services and generative AI models, with production-ready pipelines. Must-have requirements include Data Science proficiency, at least 3 years of Data Science experience, machine learning frameworks, and data preprocessing and feature engineering on large datasets.
Responsibilities
Develop AI and ML applications and systems with production-ready quality using cloud or on-prem pipelines; apply GenAI models; collaborate with team members to improve system performance and reliability; document technical processes; support junior team members
Qualifications
Proficiency in Data Science; experience with machine learning frameworks and libraries; strong analytical skills; familiarity with cloud platforms and services; ability to work with large datasets; knowledge of AI model evaluation techniques and performance optimization
Education requirements
15 years full time education required
Experience requirements
Minimum 3 years of experience in Data Science