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MILP Lead- Solution

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Hybrid

MILP Lead- Solution

Capgemini

MILP Lead- Solution

Skills

Data EngineeringDockerPythonMicroservicesDatabricksMachine LearningAWSFastAPI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

18 August 2026

What they need


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.

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