Senior Machine Learning Engineer / ML Architect | Remote

Redefining how enterprises harness Data & AI

We're building enterprise-scale Azure data platforms that power analytics, reporting, and AI-driven transformation for organizations rethinking how they work with data. If you want your ML work to ship into production — not sit in a notebook — this is that role.

Why This Role Matters

We help organizations simplify complex workflows and adopt cutting-edge technology at scale. Our data science and MLOps practice sits at the center of that mission — turning customer data into deployed, monitored, production-grade AI systems.

What You'll Do
- Build and scale customer data science workloads, applying MLOps best practices to productionize models across diverse domains
- Develop LLM solutions on customer data — RAG architectures over enterprise knowledge repositories, natural-language querying of structured data, and content generation
- Advise data teams on architecture, tooling, and best practices across the data science lifecycle





What You Bring
- 4–6 years
(Senior ML Engineer) or
6+ years
(ML Architect) of hands-on industry data science experience with pandas, MLflow, scikit-learn, gensim, NLTK, and TensorFlow/PyTorch
- Proven experience deploying production-grade ML on AWS, Azure, or GCP, including drift monitoring
- Databricks Certification or an ML/Cloud AI Certification required
— or 1+ years of current, hands-on Databricks experience in lieu of certification
- Graduate degree in a quantitative discipline (CS, Engineering, Statistics, Operations Research) or equivalent practical experience

Nice to Have
- Apache Spark experience at scale
- Deep Databricks platform expertise

Why Join Us
- 100% Remote — work from anywhere
- Work on cutting-edge LLM/RAG systems for real enterprise data, not toy demos
- High-impact team shaping how large organizations adopt AI

📌 Machine Learning Engineer (India)
🏢 Recro
📍 India