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Job Description
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 : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.
- Continuously evaluate and implement new technologies to improve existing processes and systems.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning.
- Strong understanding of various machine learning algorithms and their applications.
- Experience with cloud-based AI services and deployment strategies.
- Familiarity with programming languages such as Python or R for data analysis and model development.
- Knowledge of data preprocessing techniques and tools to ensure high-quality input for models.
Additional Information:
- The candidate should have minimum 5 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 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](http://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.
Key Responsibilities
Develop applications and systems utilizing AI tools and cloud AI services.
Apply generative AI models as part of the solution.
Design and implement production-ready solutions with proper cloud or on-prem application pipelines.
Collaborate and manage the team to perform effectively.
Make team decisions and contribute to key decisions across multiple teams.
Provide solutions to problems for the immediate team and across multiple teams.
Mentor junior team members to enhance their skills and knowledge in AI and machine learning.
Continuously evaluate and implement new technologies to improve existing processes and systems.
Requirements
15 years full time education
Skills Required
Machine LearningPythonRCloud-based AI servicesDeep learningNeural networksGenerative AIChatbotsImage processingData preprocessingLeadershipMentoringCollaborationProblem solving
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