Vytwo Technologies Inc

Data Scientist

Vytwo Technologies Inc

full-time

Posted on:

Location Type: Hybrid

Location: Hyderabad • India

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Tech Stack

AzureCloudDockerETLKubernetesPySparkPyTorchTensorflow

About the role

  • Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression
  • Perform large-scale feature engineering using PySpark 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 PyTorch, TensorFlow, or similar
  • Develop real‑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 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 GitHub Copilot, Claude Code, etc.
  • Implement model monitoring, observability, drift detection, and performance tracking

Requirements

  • 3–7 years of experience as a Data Scientist
  • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration)
  • Excellent PySpark 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: PyTorch, TensorFlow, Transformers (HuggingFace)
  • Experience with model monitoring and ML observability
  • Knowledge of LLM-based agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.)
  • Good to Have: Experience with containerization (Docker, Kubernetes, AKS)
  • Good to Have: Experience deploying models to production (REST APIs, real-time endpoints)
Benefits
  • Flexible work from home options
  • Equal opportunity employer
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningpredictive analyticsfeature engineeringPySparkdeep learningNLPmodel monitoringstatistical methodsdata analysiscontainerization
Soft Skills
collaborationcommunication