Senior Associate L2 - DS-AI & Machine Learning @ Advance Immigrations

Job Description

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 software's 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: Consulting with clients and stakeholders to determine and refine machine learning objectives. Building and deploying machine learning systems and taking care of delivering ML models to end users. Developing a scalable system. known as a machine learning pipeline to automate and manage ML processes. Support model implementation and execution within a targeted environment. Designing machine learning systems and artificial intelligence (AI) software to automate predictive models and make those model work in production environment Transforming data science prototypes and applying appropriate MLOps framework and tools. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Others
Functional Area: Not Applicable
Role/Responsibilies: Senior Associate L2 - DS-AI & Machine Learning

+ View Contact

Keyskills:   Machine Learning Statistical Analysis Consulting Data Science Problem Solving Datadriven solutions MLOps AI software Predictive Automation Machine Learning Apps Building deploying ML systems Scalable system design MLOps framework Optimizing ML libraries