Senior Associate L2 - DS-AI & Machine Learning

Publicis Sapient is looking for a highly capable Machine Learning Engineer to join its Data CoE. As part of the team, you will be responsible for creating data-driven solutions. You will be working on various MLOps stages namely deployment, governance, reproducibility, and monitoring of ML models. You will be evaluating new or existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI softwares predictive automation capabilities. You will be participating in the development of machine learning apps that meet business needs. You will also communicate with clients and stakeholders to understand business objectives and how to achieve them using machine learning.

Your Impact:

• Bachelors degree in computer science, data science, mathematics, or a related field.
• At least two years experience as a machine learning engineer.
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities. Set Yourself Apart With:
• Experience in Docker, Kubernetes, Kubeflow, MLflow, DVC, Cloud platforms
• ML Model deployments and serving
• Model Monitoring, Management and Governance
• ML Feature Store and Artefact Store
• Orchestration and ML Pipelines Benefits of Working Here: