Machine Learning Engineer

Recro; Hyderabad; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Recro in Hyderabad, India seeks an experienced ML Engineer to build scalable Azure-based data platforms powering analytics and large-scale data transformations.

You will develop LLM solutions on customer data, implement MLOps for production workloads, and advise data teams on architecture, tooling, and best practices. The role targets 3–5 years of hands-on data science experience.

Formación

• 3–5 years of hands-on industry data science experience using typical ML tools (Pandas, MLflow, scikit-learn, Gensim, NLTK, TensorFlow or PyTorch).
• Experience deploying ML models in production on AWS, Azure or GCP with drift monitoring.
• Graduate degree in a quantitative discipline or equivalent practical experience.

Responsabilidades

• Build and scale customer data science workloads and apply MLOps to productionize workloads across domains.
• Develop LLM solutions on customer data, including RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation.
• Advise data teams on architecture, tooling, and best practices.

Conocimientos

Data science

MLOps

LLM

Python

Cloud platforms

Educación

Graduate degree in quantitative discipline

Herramientas

Pandas

MLflow

scikit-learn

Gensim

NLTK

TensorFlow

PyTorch

Apache Spark

Databricks

Descripción del empleo

Join a high-impact enterprise data engineering team building scalable Azure-based data platforms that power analytics, reporting, and large-scale data transformation initiatives.

Why This Role Matters

We are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability.

What You'll Do

• Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
• Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation
• Advise data teams on several data science such as architecture, tooling, and best practices

Core Technical Requirements

• 3-5 years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, mlflow, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP including drift monitoring
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience

Preferred Qualifications

• Experience working with Apache Spark to process large-scale distributed datasets
• Experience working with the Databricks platform

Requirements

profiles of 4+ and 6+ years exp for senior ML engineer and ML architect