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
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : BE
Summary:
As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques.
Roles & Responsibilities:
– Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots.
– Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements.
– Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality.
– Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage.
– Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights.
Professional & Technical Skills:
– Must To Have Skills: Strong experience in Machine Learning.
– Good To Have Skills: Experience with deep learning, neural networks, chatbots, and image processing.
– Experience with Cloud AI services and tools.
– Strong understanding of statistical analysis and machine learning algorithms.
– Experience with data visualization tools such as Tableau or Power BI.
– 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 5 years of experience in Machine Learning.
– The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.
– This position is based at our Gurugram office.
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.
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