Data Scientist - INDIA in Prosper

Job Description

Location:

Hyderabad / Noida, INDIA

Consultants local to INDIA are eligible.

Category:
Data Science Structured Data / Text Data (NLP & GenAI)

We are seeking a highly skilled Data Scientist (37 years of experience) to join our team and work across two major data science domains:

This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production‑ready data science solutions.

• Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression.
• Perform large‑scale feature engineering using Py Spark and Big Data tools.
• Work on batch pipelines, model versioning, and experiment tracking.
• Develop cost estimation and risk/likelihood models using statistical and ML techniques.

• Build NLP pipelines using deep learning frameworks such as Py Torch ,
  Tensor Flow
  , or similar.
• Develop realtime, low‑latency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
• Create prompts, context graphs, and agentic workflows for LLM‑based systems.
• Apply knowledge of prompt engineering, context engineering, and autonomous agent frameworks to production systems.

• Work in Databricks for ETL, feature engineering, ML training, and orchestration.
• Use Azure services for model deployment, data pipelines, and infrastructure.
• Collaborate using Git‑based workflows; leverage tools like Git Hub Copilot
  , Claude Code
  , etc.
• Implement model monitoring, observability, drift detection, and performance tracking.

• Strong hands‑on experience with Databricks (Delta Lake, MLflow, Job Orchestration).
• Excellent Py Spark skills for large‑scale distributed data processing.
• Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure).
• Strong understanding of ML algorithms, statistical methods, and data analysis.
• Experience with deep learning frameworks:
  • Py Torch
  • Tensor Flow
  • Transformers (Hugging Face)
• Experience with model monitoring and ML observability.
• Ability to write clean, optimized code and leverage AI code assistants.

• Prompt engineering (task prompts, chain of thought, tool calling, retrieval prompts).
• Context engineering (retrieval pipelines, RAG, memory management, context structuring).
• Knowledge of LLM‑based agentic frameworks (Lang Chain, Semantic Kernel, CrewAI, Auto Gen, etc.).
• Experience with vector databases and embedding models is a plus.

• Experience with containerization (Docker, Kubernetes, AKS).
• Experience deploying models to production (REST APIs, real‑time endpoints).
• Knowledge of streaming technologies (Kafka, Event Hub, Spark Streaming).
• Understanding of CI/CD for ML (Azure Dev Ops / Git Hub Actions).

• A problem solver who is comfortable working with both structured and unstructured data.
• Someone who enjoys using modern AI tools to accelerate development.
• A data scientist who writes clean, production‑grade code.
• A collaborator who thrives in cross‑functional teams and fast‑paced environments.

Flexible work from home options available.