MILP Lead- Solution

Capgemini; Hyderabad, Bengaluru; Hybrid; INR 1,800,000 - 3,600,000; Full time

Job summary

Capgemini in Hyderabad seeks an experienced professional with strong Python and MILP optimization to design and deliver cloud-based ML solutions for clients. You will build scalable ML pipelines, deploy FastAPI microservices, and manage AWS services such as S3, EKS, and SageMaker in collaboration with data engineers.

The role blends technical leadership with hands-on contribution, mentoring engineers and leading solution discussions to ensure alignment with business goals and high-quality

Qualifications

• Strong proficiency in Python and MILP optimization frameworks (Gurobi, Seeker).
• Hands-on experience with FastAPI, AWS services, Docker, and SageMaker.
• Familiarity with Databricks, notebooks, and ML lifecycle management.
• Solid understanding of ML algorithms, data preprocessing, and model deployment.

Responsibilities

• Architect MILP optimization solutions using solvers (Gurobi, Seeker).
• Develop and deploy FastAPI microservices for ML workflows.
• Design and manage AWS services (S3, EFS, EKS, ECR) and Docker deployments.
• Lead and mentor engineers while contributing hands-on to critical components.
• Engage with clients to translate requirements into technical solutions.

Skills

Python

MILP optimization

FastAPI

AWS services

SageMaker

Databricks

ML lifecycle management

Tools

Gurobi

Seeker

Docker

Jupyter Notebooks

Job description

Role Overview

We are seeking an experienced professional with strong 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

• Strong 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.

Leadership & Communication

• Ability to lead teams and manage individual contributions effectively.
• Strong client-facing experience with excellent communication and presentation skills.

Experience

• 814 years in software development, optimization, and ML solutions.
• Proven track record in solutioning MILP problems and delivering enterprise-grade ML solutions.