Capgemini - Lead Solution Architect - MILP & ML Solutions

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:

- 8 - 14 years in software development, optimization, and ML solutions.

- Proven track record in solutioning MILP problems and delivering enterprise-grade ML solutions.

Preferred Qualifications:

- Engineering, masters and Ph.Ds.

- Experience with CI/CD pipelines for ML and optimization workflows.

- Knowledge of container orchestration and Kubernetes.

- Exposure to cloud cost optimization and performance tuning for ML workloads.