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 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will contribute to the advancement of AI technology and its applications in various industries.
Roles & Responsibilities:
– Expected to be an SME in AI/ML Computational Science
– Collaborate and manage the team to perform effectively
– Responsible for team decisions and ensuring their successful implementation
– Engage with multiple teams and contribute to key decisions
– Expected to provide solutions to problems that apply across multiple teams
– Contribute to the development of AI applications and systems
– Utilize AI tools and Cloud AI services to create robust solutions
– Implement proper cloud or on-prem application pipelines with production-ready quality
– Apply GenAI models as part of the solution
– Explore and implement deep learning techniques and neural networks
– Develop chatbots and work on image processing projects
Professional & Technical Skills:
– Must To Have Skills: Proficiency in Machine Learning
– Strong understanding of statistical analysis and machine learning algorithms
– Experience with data visualization tools such as Tableau or Power BI
– Hands-on experience implementing various machine learning 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 12 years of experience in Machine Learning
– This position is based at our Bengaluru 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 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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