AI / ML Engineer Full-time

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 Operations
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : BE

Summary:
As an AI / ML Engineer, you will develop applications and systems that utilize AI to improve performance and efficiency. This includes working with deep learning, neural networks, chatbots, and natural language processing. You will be responsible for creating innovative solutions and implementing cutting-edge technologies to drive business growth and success.

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.
– Develop and implement machine learning models and algorithms.
– Collaborate with cross-functional teams to gather requirements and understand business needs.
– Design and build scalable and efficient AI systems.
– Optimize and fine-tune machine learning models for performance and accuracy.
– Conduct experiments and analyze data to improve model performance.
– Stay up-to-date with the latest advancements in AI and machine learning technologies.
– Provide technical guidance and mentorship to junior team members.

Professional & Technical Skills:
– Must To Have Skills: Proficiency in Machine Learning Operations.
– Strong understanding of statistical analysis and machine learning algorithms.
– Experience with data visualization tools such as Tableau or Power BI.
– Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
– Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.

Additional Information:
– The candidate should have a minimum of 3 years of experience in Machine Learning Operations.
– This position is based at our Coimbatore office.
– A BE degree is required.

BE

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.