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 : Dataiku Data Science Studio (DSS)
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, a typical day involves designing and building advanced applications and systems that integrate artificial intelligence technologies and cloud-based services. The role requires ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises environments. The engineer actively works on incorporating generative artificial intelligence models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image analysis tools. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of the daily routine, alongside continuous evaluation and enhancement of system performance and reliability.
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.
- Lead the development and deployment of AI and machine learning models ensuring scalability and robustness.
- Facilitate knowledge sharing and mentoring within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor project progress and implement improvements to optimize workflows and deliverables.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Dataiku Data Science Studio (DSS).
- Experience in designing and managing end-to-end AI and machine learning pipelines.
- Strong understanding of cloud computing environments and deployment strategies.
- Ability to integrate generative AI models and deep learning techniques into practical applications.
- Familiarity with neural networks, chatbot development, and image processing methodologies.
- Competence in troubleshooting and optimizing AI systems for production environments.
Additional Information:
- The candidate should have minimum 5 years of experience in Dataiku Data Science Studio (DSS).
- 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
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.
Skills Required
- Proficiency in Dataiku Data Science Studio (DSS)
- Minimum 5 years of experience using Dataiku Data Science Studio (DSS)
- Experience designing and managing end-to-end AI and machine learning pipelines
- Strong understanding of cloud computing environments and deployment strategies
- Ability to integrate generative AI models and deep learning techniques into applications
- Familiarity with neural networks, chatbot development, and image processing methodologies
- Competence in troubleshooting and optimizing AI systems for production environments
- Experience leading teams and making technical decisions (SME responsibilities)
- 15 years full time education
- Position is based at Bengaluru office (on-site)
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
