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Immediate openings For Data Scientist @ Sutherland

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 Immediate openings For Data Scientist

Job Description

Job Description:

  • Build and deploy machine learning models and AI solutions using Azure AI services.
  • Work with Python, PySpark, and Azure Databricks/Synapse for data analysis and modeling.
  • Use Microsoft Data Fabric to connect and manage enterprise data.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Experience with Spark (PySpark/Scala) and Azure data services (Data Lake, Synapse, Databricks, Azure ML).
  • Azure-certified skills Microsoft Certified: Azure Data Scientist Associate (DP-100), demonstrating expertise in designing, training, deploying, and managing ML solutions on Azure
  • Comprehensive ML lifecycle experience: data exploration, preprocessing, experimentation, model training, deployment, and operationalization using Azure ML Studio.
  • CI/CD & MLOps proficiency: implementing automated deployment workflows for ML models using Azure pipelines and best practices.
  • Expertise or solid Knowledge in Microsoft Fabric leveraging Fabrics integrated tools for notebooks, pipeline orchestration, OneLake data access.
  • Familiarity with SynapseML to build scalable, distributed ML workflows (e.g., text analytics, anomaly detection, vision, embeddings) that integrate with Azure AI services.
  • Hands-on with Azure AI services in Fabric using prebuilt AI models (OpenAI, Text Analytics, Translator) .
  • 57 years of experience as a Data Scientist or similar

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Sutherland
Location(s): Hyderabad

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Keyskills:   Microsoft Fabric Azure Cloud Data Scientist Azure Databricks Python Pyspark

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Sutherland

\n\nTech Mahindra is a global consulting service and systems integrator that operates in over 90+ countries, delivering solutions with a unique blend of digital innovation and robust, industry-strong processes.