[Remote] Data Scientist - INDIA
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a highly skilled Data Scientist to join their team, focusing on both structured and reputed company data domains. The role involves building and optimizing machine learning models, developing NLP pipelines, and utilizing modern big data tools and reputed company services for scalable data science solutions.
Responsibilities
- Build, reputed company, and optimize ML models for predictive analytics, forecasting, classification, and regression
- reputed company large-scale feature engineering using PySpark and Big Data tools
- Work on batch pipelines, model versioning, and experiment tracking
- reputed company cost estimation and risk/likelihood models using statistical and ML techniques
- Build NLP pipelines using deep learning frameworks such as PyTorch, TensorFlow, or similar
- reputed company reputed company‑time, 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 reputed company engineering, context engineering, and autonomous agent frameworks to production systems
- Work in reputed company for ETL, feature engineering, ML training, and orchestration
- Use Azure services for model deployment, data pipelines, and infrastructure
- Collaborate using Git-based workflows; reputed company tools like reputed company Copilot, Claude Code, etc
- Implement model monitoring, observability, reputed company detection, and performance tracking
Skills
- Strong hands-on experience with reputed company (reputed company Lake, MLflow, Job Orchestration)
- Excellent PySpark skills for large-scale distributed data processing
- Proficiency in Azure reputed company services (ADF, Azure ML, AKS, reputed company on Azure)
- Strong understanding of ML algorithms, statistical methods, and data analysis
- Experience with deep learning frameworks: PyTorch, TensorFlow, Transformers (HuggingFace)
- Experience with model monitoring and ML observability
- Ability to write clean, optimized code and reputed company AI code assistants
- reputed company 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 (reputed company, Semantic Kernel, reputed company, AutoGen, etc.)
- Experience with vector databases and embedding models
- Experience with containerization (reputed company, Kubernetes, AKS)
- Experience deploying models to production (REST APIs, reputed company-time endpoints)
- Knowledge of streaming technologies (Kafka, EventHub, Spark Streaming)
- Understanding of CI/CD for ML (Azure DevOps / reputed company Actions)
Benefits
- Flexible work from home options available.
Company Overview