Project Role: Data ArchitectProject Role Description:

Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.

Must Have Skills:

- Data Science

Good to Have Skills:

- Amazon Web Services (AWS)
- Snowflake Data Warehouse

Experience Required:

- Minimum 12 year(s) of experience is required

Educational Qualification:

- 15 years full time education

Summary:

AI Powered Tech Talent

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

- Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
- Develop and implement machine learning algorithms, models, and computational systems design and build scalable data pipelines to support model training and production with DevOps & MLOps
- Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC
- Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
- Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production




- Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
- Justify the value of model approaches in business problems
- Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Required Qualifications:

- Bachelor's Degree or equivalent
- Minimum of 5 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
- Minimum of 5 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
- Minimum of 3 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
- Minimum of 2 years of experience in building and deploying AI/ML based software to a cloud environment.
- Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
- Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
- Experience with the following programming languages: Python, C++, Java, R, SQL




- Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
- Strong client-facing skillsets in a consulting environment
- Solid cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
- Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
- MS or PhD in related field preferred (computer science, engineering, etc.)

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.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of data architecture standards and best practices.
- Facilitate communication between technical teams and stakeholders to ensure data requirements are met.
- Mentor junior team members to support their professional growth and enhance team capabilities.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Science.
- Good To Have Skills: Experience with Snowflake Data Warehouse, Amazon Web Services (AWS).
- Strong knowledge of data modeling techniques and database design principles.
- Experience in designing scalable data storage solutions and data integration strategies.
- Ability to analyze complex data flows and optimize data pipelines for performance and reliability.
- Familiarity with cloud-based data platforms and modern data architecture frameworks.

Additional Information:

- The candidate should have minimum 12 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.

Locations:

- Job No. ATCI-5701177-S2061867 | Pune | Required Skill: Data Science

📌 Data Architect (Pune)
🏢 Accenture
📍 Pune