Data Scientist; AI​/ML​/MLOps​/VertexAI

Position: Data Scientist (AI/ML/MLOps/VertexAI)
## Data Scientist (AI/ML/MLOps/Vertex

AI)
Pune, Hyderabad, Bangalore, Indore, Ahmedabad (Hybrid)
· Full-time
· Senior#### About The Position
** Department:
** Sales and Delivery Team - Empower
** Industry:
** Information Technology & Services, Computer Software, Management Consulting
*
* Location:

** Pune, Hyderabad, Bangalore, Indore, Ahmedabad (Globant Office Locations)
** Experience Range**:
5+ years
** Basic

Qualification:

** Master/Bachelor of Engineering or Equivalent
** Travel Requirements:
** Not required
** Website**:

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist (AI/ML/MLOps/Vertex

AI) to join our global delivery team's Data Engineering & Analytics practice in India.

The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques. The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 5 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning#### Requirements Responsibilities:
* Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques
* Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
* Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
* Work closely with the data engineering teams to source and ingest data into data lakes
* Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights
* Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients
* Providing mentorship to junior resources within the data scientist community

Mandatory

Skills:

* Provide technical leadership and guidance to development teams, fostering a culture of innovation, excellence, and continuous improvement. Mentor and guide junior architects and engineers.
* Evaluate and recommend appropriate AI technologies, frameworks, and cloud services (e.g., Google Vertex

AI, Gemini Model, Dialogflow CX, ADK, Lang Graph, GCP services) to optimize solution performance, cost, and maintainability.
* Design AI solutions that seamlessly integrate with existing enterprise systems, data sources, and business processes, ensuring data integrity and security.
* LLM, Chatbot, Agentic AI Architectures:
Architect advanced solutions leveraging large language models (Gemini Model), chatbot frameworks, MCP, and Agentic AI patterns, including orchestration with Lang Graphand ADK , for complex problem-solving and autonomous systems.
* API Architecture & Design:
Define and enforce API architecture standards, ensuring robust, scalable, and secure integration points for AI services within the broader enterprise ecosystem.
* GCP Deployment & MLOps/Agent Ops Architecture:
Define robust GCP architectures for deploying AI models and applications, including Cloud Run/GKE, Big Query, Cloud

SQL, Data Flow, and Data Proc. Establish comprehensive MLOps and Agent Ops strategies for continuous integration, delivery, monitoring, and governance of AI solutions.
* Develop and implement AI evaluation frameworks to measure the performance, fairness, and reliability of AI models and systems.

Nice-to-Have Skills
* Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
* Experience working with teams located in multiple locations across the globe
* Architectural expertise in Google Cloud Platform (GCP) with services including Cloud Run/GKE, Big Query, Cloud

SQL, GCS and cloud composer.
* Strong understanding of data warehousing, data lakes, and real-time data processing architectures.
* Proficiency in infrastructure as code (IaC) tools like Terraform.
* Strong experience designing and implementing end-to-end MLOps and…