Job description:

Purpose of the Job
The Lead – Data Science is a senior hands-on role within Data & Analytics, responsible for designing, building, deploying, and operationalizing end-to-end AI/ML and Generative/Agentic AI solutions that drive business value. The role leads initiatives from experimentation to scalable, production-grade deployment on GCP (Vertex AI).
Key purpose:
Deliver end-to-end AI/ML and GenAI/Agentic AI solutions across the MLOps lifecycle.
Build scalable training, serving, and monitoring pipelines on GCP/Vertex AI.
Apply Agentic AI frameworks and tokenomics best practices to optimize performance, reliability, and cost
Partner with business and engineering teams to translate complex problems into production-ready data science solutions, particularly in supply chain and logistics.
Job Description
AI/ML & GenAI Solution Delivery
Design, develop, and deploy end-to-end AI/ML and GenAI/Agentic AI solutions, owning the complete lifecycle from data preparation and model development to deployment and monitoring.




Build and optimize Agentic AI workflows using contemporary frameworks, applying best practices for agent orchestration, tool use, and multi-step reasoning.
Apply tokenomics expertise to optimize prompt design, context management, and model selection for cost efficiency and performance at scale.
MLOps & Engineering
Establish and maintain robust MLOps practices, including automated model training, versioning, deployment, and continuous monitoring.
Build and manage CI/CD pipelines for ML models and AI applications to enable reliable, repeatable, and automated releases.
Develop and orchestrate data and ML workflows using Apache Airflow (DAGs) to ensure timely, dependable pipeline execution.
Cloud & Platform
Build and operate solutions on GCP, leveraging Vertex AI for model training, tuning, deployment, and serving.
Utilize GCP services such as AlloyDB, Cloud Run, Cloud Batch, and Cloud SQL to build scalable, performant, and cost-effective solutions.
Impl

📌 D&T Lead (Pune)
🏢 Aramex
📍 Pune