Senior Machine Learning Engineer

Recro; Hyderabad; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Recro is seeking experienced Senior Machine Learning Engineers and ML Architects to design, build, and deploy scalable AI/ML solutions on enterprise data platforms. You will work on production-ready AI applications, including Generative AI and retrieval-augmented systems for diverse business domains.

Ideal candidates have strong Python skills, cloud experience (AWS/Azure/GCP), and hands-on MLops capabilities, with a track record in deploying models at scale and delivering end-to-end AI solutions.

Qualifications

• 4+ years of industry experience for Senior ML Engineer

Responsibilities

• Design, develop, and deploy production-grade ML solutions across diverse business domains.
• Build and optimize enterprise AI applications using LLMs and Generative AI.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories.
• Build natural language interfaces for querying structured and unstructured enterprise data.
• Apply MLOps best practices to automate model deployment, monitoring, versioning, and lifecycle management.
• Collaborate with cross-functional teams to deliver scalable, high-performance AI solutions.
• Provide technical guidance on AI/ML architecture, tooling, and best practices.
• Ensure reliability, scalability, and performance of ML models in production environments.

Skills

Python programming

MLOps

LLMs

Prompt Engineering

RAG

Embeddings

Model evaluation

Communication

Collaboration

Education

Master's degree or higher in CS/Engineering/Statistics/Math/OR

Tools

Python ecosystem

AWS

Azure

GCP (Google Cloud)

Pandas

Scikit-learn

MLflow

Gensim

NLTK

TensorFlow

PyTorch

Apache Spark

Databricks

Job description

We are looking for experienced Senior Machine Learning Engineers and ML Architects to design, build, and deploy scalable AI/ML solutions that solve complex business problems. In this role, you will work on enterprise-grade data platforms, develop production-ready machine learning and Generative AI applications, and help shape the future of AI-driven products.

If you're passionate about Machine Learning, MLOps, Large Language Models (LLMs), and building intelligent systems at scale, we'd love to hear from you.

Key Responsibilities

• Design, develop, and deploy production-grade machine learning solutions across diverse business domains.
• Build and optimize enterprise AI applications using Large Language Models (LLMs) and Generative AI.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories.
• Build natural language interfaces for querying structured and unstructured enterprise data.
• Apply MLOps best practices to automate model deployment, monitoring, versioning, and lifecycle management.
• Collaborate with cross-functional teams to deliver scalable, high-performance AI solutions.
• Provide technical guidance on AI/ML architecture, tooling, and best practices.
• Ensure reliability, scalability, and performance of ML models in production environments.

Required Skills & Experience

• Senior ML Engineer: 4+ years of relevant industry experience.
• ML Architect: 6+ years of relevant industry experience.
• Strong proficiency in Python and the AI/ML ecosystem.
• Hands-on experience with Pandas, Scikit-learn, MLflow, Gensim, NLTK, TensorFlow, or PyTorch.
• Experience building and deploying production-grade ML solutions on AWS, Azure, or Google Cloud Platform.
• Practical experience with MLOps, including model deployment, monitoring, and drift detection.
• Strong understanding of Machine Learning algorithms, data science workflows, and model evaluation techniques.
• Experience developing LLM-based applications, including Prompt Engineering, RAG, embeddings, and enterprise AI use cases.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with Apache Spark for large-scale distributed data processing.
• Hands-on experience with Databricks.
• Experience building enterprise AI applications using LLMs and Generative AI frameworks.
• Master's degree or higher in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field (or equivalent practical experience).

Why Join Us?

• Work on cutting-edge AI and Generative AI initiatives.
• Build scalable, enterprise-grade Machine Learning solutions.
• Collaborate with highly skilled engineers and data scientists.
• Contribute to innovative products that transform how businesses leverage Data and AI.
• Opportunity to work with modern cloud platforms, MLOps, and next-generation AI technologies.