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 : Python Frameworks, Machine Learning (ML), Large Language Models (LLMs), Generative AI
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 AI services. The role requires managing the development pipeline to ensure solutions are production-ready, incorporating generative artificial intelligence models effectively. Daily activities may include working on deep learning frameworks, neural network architectures, chatbot functionalities, and image processing tasks, all aimed at delivering innovative and scalable AI-driven solutions within a collaborative environment.
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 integration of generative artificial intelligence models into existing systems to enhance functionality and performance.
- Facilitate knowledge sharing and mentorship within the team to support continuous learning and development.
- Coordinate cross-functional efforts to align AI solutions with organizational goals and project requirements.
Professional & Technical Skills:
- Experience in data engineering or related roles.
- Strong experience with Python and SQL for data processing and pipeline development.
- Nice to have:
- Hands-on with Azure data services: Data Lake (ADLS), Data Factory (ADF), Synapse, Purview.
- Familiarity with Databricks (Delta Lake, Spark jobs, notebooks).
- Experience with vector databases and embedding pipelines for GenAI/RAG.
- Knowledge of data governance, security, and compliance frameworks.
CI/CD experience (Azure DevOps, GitHub Actions) and containerization (Docker/Kubernetes basics).
- Exposure to LangChain/LangGraph, CrewAI, or similar agent orchestration frameworks.
- Experience with Azure OpenAI, Cognitive Search, and AI Studio.
- Familiarity with data quality frameworks (Great Expectations, Deequ).
- Knowledge of streaming (Kafka/Event Hubs) and real-time data products.
- Performance tuning for large-scale embeddings and distributed compute.
- Must To Have Skills: Proficiency in Python Frameworks, Machine Learning (ML), Large Language Models (LLMs), Generative AI.
- Strong experience in developing and deploying AI models using cloud platforms and on-premises infrastructure.
- In-depth understanding of deep learning techniques, including neural networks and their applications.
- Ability to design and implement scalable AI pipelines that ensure production-level quality and reliability.
- Familiarity with chatbot development and image processing methodologies.
- Experience in optimizing AI models for performance and resource efficiency.
Additional Information:
- The candidate should have minimum 5 years of experience in Python Frameworks.
- This position is based at our Pune 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
- Minimum 5 years of experience in Python frameworks
- 15 years of full-time education
- Proficiency in Python frameworks
- Machine learning experience
- Large language model experience
- Generative AI experience
- Experience developing and deploying AI models on cloud and on-premises infrastructure
- Strong experience with Python and SQL for data processing and pipeline development
- Understanding of deep learning techniques and neural networks
- Ability to design and implement scalable, production-quality AI pipelines
- Familiarity with chatbot development and image processing
- Experience optimizing AI models for performance and resource efficiency
- Azure data services experience, including ADLS, ADF, Synapse, and Purview
- Databricks experience with Delta Lake, Spark jobs, and notebooks
- Experience with vector databases and embedding pipelines for GenAI or RAG
- Knowledge of data governance, security, and compliance frameworks
- CI/CD experience with Azure DevOps or GitHub Actions and basic Docker or Kubernetes knowledge
- Exposure to LangChain, LangGraph, CrewAI, or similar agent orchestration frameworks
- Experience with Azure OpenAI, Cognitive Search, and AI Studio
- Familiarity with Great Expectations or Deequ
- Knowledge of Kafka, Event Hubs, and real-time data products
- Experience tuning large-scale embeddings and distributed compute
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.





