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Talent Worx
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AD - ML Engineering

AD - ML Engineering

Talent Worx

8 - 12 years

45 - 55 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

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Skills Required

ml engineering recruitment consulting data analytics cutting drive ai writing code troubleshooting etl design pipeline orchestration model training monitoring rollback inference software python apache spark aws docker kubernetes kafka airflow test development sql linux git github azure devops debugging tuning redis sqs openai java .net

Work Mode

On-site

Job Type

Full Time

Job Description

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#)

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