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 robust 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

📌 Ad - Ml Engineering (Hyderabad)
🏢 Talent Worx
📍 Hyderabad