20 Aug
|
Capgemini
|
Delhi
Role Overview
We are seeking an experienced qualified 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.
- Leaders
📌 MILP Lead- Solution (Delhi)
🏢 Capgemini
📍 Delhi