Role Overview

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 up-to-date cloud platforms, MLOps, and next-generation AI technologies.

📌 Senior Machine Learning Engineer (Hyderabad)
🏢 Recro
📍 Hyderabad