Senior Machine Learning Engineer

Location: Bengaluru

About Business Unit:

As part of the Digital Integration Services team, you’ll be at the forefront of modernizing marketing and delivering ground-breaking solutions. From crafting data-driven, personalized experiences that customers truly value to turning marketing visions into reality - we empower brands to achieve their goals.
Our team of 1,200 experts in strategy, analytics, creative, and digital experience uses innovative technology and data-driven insights to craft relevant, customer-centric strategies for the world’s leading brands.

Organization Objective/

Purpose:

This position in the Engineering team under the Digital Experience organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven software engineer.
You will be part of a team that is focused on building solutions, pipelines using latest engineering design principles and tech stacks. You will also be expected to Identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automate continuous integration and deployment processes/pipelines.
The incumbent is also expected to partner with various partners, bring scientific rigor to design and develop high quality software.
She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, ‘startup’ environment within a larger company.

Responsibilities

Brief Description of Role:

You will play a key role as a Senior ML Engineer in designing and delivering AI-based analytical solutions to support and elevate analytics. The primary responsibilities of the Data Intelligence team within DX involve design and development of new AI-based automated analytics solutions, tools, and applications, which expands the capabilities of Epsilon’s analytics application platforms and significantly improve the productivity of our analytics teams by streamlining cost, reducing time and effort, and boost client satisfaction.

You’ll collaborate closely with Analytics and Engineering teams, fostering multi-functional partnerships to drive impactful results.

Qualifications

Bachelor’s degree in data science, Computer science with 6+ years of similar experience
Professional experience in developing & orchestrating AI-based tools and applications, data processing, report automation, and dashboard platforms.
Tech Stack:
Python, PySpark, PLSQL
Hands-on experience in developing solutions using Large Language Models (LLMs – online & offline)
Proficiency in distributed data platforms (such as Greenplum and Hadoop) and data intelligence tools (Databricks, Tableau), along with development skills in Python and SQL.
Experience working on packages like tensor flow, keras & scikit-learn
Understanding of ML & DL concepts
Ability to create visually compelling, interactive dashboards.
Experience working on AdTech or Mar Tech technologies is added advantage
Good written and spoken communication skills, great teammate.
Strong analytic thought process and ability to interpret findings
Data Management
Experience building Data and MLOps pipelines
Familiarity with Airflow and MLFlow tools

Experience with both structured and unstructured data
Hands on experience building ETL workflows/ ML pipelines
Experience in relational and non-relational databases and SQL (No

SQL is a plus).

Experience with Cloud technologies (AWS or Azure, Databricks)
Good understanding of Data Modeling, Data Warehouse, Data Catalog concepts and tools

Experience with Data Lake architectures, and with combining structured and unstructured data into unified representations
Able to identify, join, explore, and examine data from multiple disparate sources and formats
Ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed
Ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc.
Ability to manipulate large datasets, (millions of rows, thousands of variables)
Architecture and Infrastructure
Good knowledge of working in UNIX/LINUX systems