[Remote] Lead Data Scientist & Machine Learning Engineer

Celebal Technologies is seeking a Lead Data Scientist & Machine Learning Engineer to bridge the gap between research and scalable production systems. This remote role is open to candidates in the USA. You will architect AI solutions and lead a team in leveraging the Databricks platform to build, deploy, and monitor sophisticated ML and Generative AI solutions.

Responsibilities

• Architect GenAI Solutions: Design and implement LLM-based applications using RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
• End-to-End ML Ops: Build and automate robust ML pipelines on Databricks, utilizing Unity Catalog, MLflow, and Model Serving.
• Lead & Mentor: Act as the technical North Star for a team of data scientists and engineers, fostering a culture of excellence and rapid experimentation.
• Productionize at Scale: Convert POCs into enterprise-grade products, ensuring high performance, low latency, and cost-efficient scaling.
• Cross-Functional Collaboration: Partner with stakeholders, data engineers, and DevOps to align AI initiatives with core business objectives.

Requirements

• 6+ years in Data Science/ML Engineering, with at least 2 years in a leadership or principal capacity.
• Expert-level knowledge of the Databricks ecosystem (Delta Lake, Spark, Mosaic AI, Workflows).
• Hands-on experience with frameworks like LangChain, LlamaIndex, and Vector Databases (e.g., Pinecone, Weaviate, or Databricks Vector Search).
• Languages: Python (Expert), SQL, PySpark.
• ML Frameworks: PyTorch, TensorFlow, or Scikit-learn.
• Experience with CI/CD, MLflow, and containerization (Docker/Kubernetes).
• Master's or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent experience).

Company Overview

Celebal Technologies is a software services company that specializes in data science, generative AI, and digital transformation. Founded in 2015 and headquartered in Jaipur, Rajasthan, India, it has a workforce of 1001-5000 employees. More information can be found at celebaltech.com.