AD - ML Engineering

Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a globally leading provider of financial intelligence, data analytics, and AIdriven solutions, empowering businesses worldwide with insights for confident decision making. Join to work on cutting edge technologies, drive digital transformation, and shape the future of global markets.

Requirements

Whats in it for you:

• Be part of a global company and build solutions at enterprise scale

• Lead and grow a technically strong ML engineering function

• Collaborate on and solve high-complexity, high-impact problems

• Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI

integrations)

Key Responsibilities:

• Architect, develop, and maintain production-ready data acquisition, transformation, and ML

pipelines (batch & streaming)

• Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend

and operate our data platforms

• Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-

native solutions

• Establish CI/CD and MLOps workflows for model training, validation, deployment,

monitoring, and rollback

• Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-

into broader ML systems

• Mentor and guide engineers and data scientists; foster a culture of craftsmanship and

continuous improvement

• Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on

requirements, timelines, and SLAs

What We’re Looking For:

• 8-12 years' professional software engineering experience with a strong MLOps focus

• Expert in Python and Apache Spark for large-scale data processing

• Deep experience deploying and operating ML pipelines on AWS or GCP

• Hands-on proficiency with Docker, Kubernetes, and related container/orchestration tooling

• Solid understanding of the full ML model lifecycle and CI/CD principles

• Skilled in streaming and batch ETL design (e.g., Kafka, Airflow, Dataflow)

• Strong OOP design patterns, Test-Driven Development, and enterprise system architecture

• Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets

• Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes

• Excellent problem-solving, debugging, and performance-tuning abilities

• Ability to communicate technical change clearly to non-technical audiences

Nice to have:

• Redis, Celery, SQS and Lambda based event driven pipelines

• Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale

• Experience with Apache Avro and Apache Kafka

• Familiarity with Java and/or .NET Core (C#)