Role Overview

We are seeking an experienced qualified with robust hands-on expertise in Python, MILP optimization (Gurobi, Seeker, etc.), and modern cloud-based machine learning solutions. The ideal candidate will have a proven track record in solutioning MILP problems, building scalable APIs, and deploying ML workflows on AWS and Databricks. This role requires both technical leadership and individual contribution, with significant client-facing responsibilities.

Key Responsibilities
Solution Design & Development
Architect and implement optimization solutions using MILP solvers (Gurobi, Seeker).
Develop and deploy FastAPI-based microservices for ML and optimization workflows.
Design and manage AWS services including S3, EFS, EKS, ECR, and Docker-based deployments.
Utilize AWS SageMaker, Notebooks, and Databricks for ML model development and deployment.
Machine Learning & Data Engineering
Build and optimize ML pipelines for large-scale data processing.
Integrate ML models into production environments ensuring scalability and reliability.




Leadership & Collaboration
Lead and mentor a team of engineers while contributing individually to critical components.
Drive solutioning discussions with clients and stakeholders, ensuring alignment with business objectives.
Manage project delivery timelines and ensure high-quality outputs.
Client Engagement
Act as a technical point of contact for clients, providing expertise in MILP and ML solutions.
Translate business requirements into technical solutions and present proposals effectively.

Required Skills & Qualifications
Technical Expertise
Solid proficiency in Python and MILP optimization frameworks (Gurobi, Seeker).
Hands-on experience with FastAPI, AWS services (S3, EFS, EKS, ECR), Docker, and SageMaker.
Familiarity with Databricks, Jupyter Notebooks, and ML lifecycle management.
Solid understanding of machine learning algorithms, data preprocessing, and model deployment.
Leaders

📌 Milp Lead Solution Delhi
🏢 Capgemini
📍 Delhi