Machine Learning Engineer

Job Tittle : Machine Learning Engineer

An opportunity has arisen for an extraordinary and enthusiastic Machine Learning Engineer.

This role requires a deep understanding of machine learning algorithms, strong software

engineering skills, and the ability to translate business requirements into scalable machine

learning solutions.

As a member of the Global Finance Data Science team, you will report to the Principal

Machine Learning Engineer. You will be involved in designing, developing and deploying

scalable and efficient Machine Learning models and systems on cloud platforms. You will be

working closely with Data Scientists to understand technical requirements in Machine

Learning projects and devising solutions to meet those needs.

Responsibilities

 Support the end-to-end development of machine learning models, from data

collection and preprocessing to model training, evaluation, and deployment.

 Apply machine learning techniques and algorithms, such as deep learning,

Generative AI, Agentic AI, natural language processing, reinforcement learning, etc

on finance datasets.

 Design and implement scalable machine learning algorithms and systems that can

efficiently handle large volumes of data.

 Collaborate with data scientists, data engineers and business stakeholders to

understand business requirements, translate them into technical requirements and

deliver end-to-end data solutions.

 Develop robust, production-grade code for deploying machine learning models on

Databricks. Ensure solutions meet reliability, performance, and security standards.

 Implement best practices for model monitoring, performance optimization, and

continuous integration/deployment.

 Research and stay updated with the latest developments and trends in machine

learning and related fields and establish industry network by participating in internal

and external forums, conferences, etc.

Requirements

 Bachelor’s degree or higher in Computer Science, Engineering, or an equivalent

qualification with at least 3 -5 years of relevant work experience.

 Proficiency in Python, SQL, and Apache Spark; exposure to Databricks is a plus.

 Basic familiarity in architecting and implementing LLM-based and agentic AI systems.

 Adherence to software engineering best practices, including writing clean code.

 Basic understanding of CI/CD tools and software, including Jenkins, Git, BitBucket,

Spinnaker and Helm.

 Strong team player and you can work effectively in a collaborative, fast paced, high

achieving environment.

 Exceptional analytical and problem-solving skills.

 Good communication and presentation skills.