AI / ML Engineer

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)
Good to have skills : Amazon Web Services (AWS), Python (Programming Language)
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / Machine Learning Engineer, your day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. You will work on integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Your role may encompass a variety of AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to deliver robust and scalable AI-driven products is a key aspect of your daily activities, requiring adaptability and innovative problem-solving.

Roles & Responsibilities:
- Expected to be a subject matter expert with deep knowledge and experience.
- Should have influencing and advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Collaborate with stakeholders to align AI solutions with business objectives and technical feasibility.
- Continuously evaluate emerging AI technologies and methodologies to enhance existing systems and processes.
- Mentor junior team members by sharing expertise and guiding their professional development.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML), Python (Programming Language), Amazon Web Services (AWS).
- Good To Have Skills: Experience with Python (Programming Language), Amazon Web Services (AWS).
- Strong understanding of machine learning algorithms including supervised and unsupervised learning techniques.
- Experience in developing and deploying AI models in cloud environments and on-premises infrastructure.
- Familiarity with generative AI models and their practical applications in real-world scenarios.
- Ability to work with large datasets and perform data preprocessing, feature engineering, and model evaluation.

Additional Information:
- The candidate should have minimum 5 years of experience in Machine Learning (ML).
- This position is based at our DDC5E - SEZ location.
- 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.