Irth Solutions

Data Scientist

Irth Solutions

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

AWSAzureCloudPythonSparkSQLUnity

About the role

  • Contribute to medallion architecture pipelines (Bronze, Silver, Gold) and ensure data quality and governance.
  • Support lineage tracking, data contracts, and governance processes using Unity Catalog.
  • Apply data residency and governance policies, ensuring secure and compliant handling of sensitive data.
  • Develop and deploy machine learning models including forecasting, anomaly detection, NLP, and predictive analytics.
  • Design and implement GenAI solutions such as RAG pipelines, LLM-powered assistants, and intelligent automation.
  • Package and manage models using Unity Catalog and model registries.
  • Build scalable workflows using Databricks, Spark, and cloud-native tools.
  • Implement monitoring, model evaluation, and performance tracking to ensure reliability.
  • Apply cost optimization and performance tuning best practices.
  • Support enterprise semantic layers for BI tools such as Power BI and Databricks AI/BI.
  • Collaborate with engineering and product teams to enable scalable, production-ready data products.
  • Document models, pipelines, and analytical workflows.
  • Implement access control policies (RBAC/ABAC), secure data access, and compliance controls.
  • Support regulatory compliance including SOC 2, GDPR, ISO 27001, and PIPEDA.
  • Maintain documentation supporting governance, audit, and disaster recovery requirements.

Requirements

  • 3–6 years of experience in Data Science, Machine Learning, or applied AI roles.
  • Strong experience with Python, SQL, and distributed processing frameworks such as Spark.
  • Experience with Databricks, Delta Lake, and ML model deployment workflows.
  • Experience with ML lifecycle including feature engineering, model training, evaluation, and monitoring.
  • Hands-on experience with GenAI technologies including prompt engineering, RAG pipelines, and LLM integration.
  • Experience with CI/CD pipelines, version control, and automated deployments.
  • Strong understanding of data governance, security, and data quality practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Experience with Azure (ADLS, Entra ID, Power BI) or AWS (S3, Secrets Manager, KMS) preferred.
  • Experience with MLflow, streaming pipelines, and model serving preferred.
  • Knowledge of geospatial analytics, infrastructure, or utility domain data preferred.
  • Experience with observability, monitoring, and performance optimization tools preferred.
  • Relevant cloud or Databricks certifications preferred.
  • Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience.
Benefits
  • Being an integral part of a dynamic, growing company that is well respected in its industry.
  • Competitive pay based on experience.
Applicant Tracking System Keywords

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

Hard Skills & Tools
PythonSQLSparkMachine LearningGenAIData GovernanceData QualityFeature EngineeringModel TrainingModel Evaluation
Soft Skills
Analytical ThinkingProblem-SolvingCommunication
Certifications
Cloud CertificationsDatabricks Certifications