Sr Data Scientist (INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN)

Birlasoft
Pune
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Data-driven decision-making"]

Build and deploy scalable AI/ML models for real-world business problems, from exploratory data analysis and hypothesis testing to predictive modeling and production deployment. Own end-to-end machine learning pipelines (ingestion, feature engineering, training, validation, and release) and establish MLOps frameworks for CI/CD, monitoring, and model governance. Collaborate with data engineering to ensure robust, scalable data pipelines, with added advantage for Databricks Mosaic AI and Snowflake Cortex.

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FursaFursa
Birlasoft
Birlasoft
2 days ago

Sr Data Scientist (INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and deploy scalable AI/ML models for real-world business problems, from exploratory data analysis and hypothesis testing to predictive modeling and production deployment. Own end-to-end machine learning pipelines (ingestion, feature engineering, training, validation, and release) and establish MLOps frameworks for CI/CD, monitoring, and model governance. Collaborate with data engineering to ensure robust, scalable data pipelines, with added advantage for Databricks Mosaic AI and Snowflake Cortex.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy machine learning and AI models for real-world business problems.
  • •Perform advanced statistical analysis and build predictive models to derive actionable insights.
  • •Develop and implement end-to-end ML pipelines covering ingestion, feature engineering, training, validation, and deployment.
  • •Build and manage MLOps frameworks for CI/CD, delivery, monitoring, and model governance.
  • •Work with data engineering teams to ensure robust and scalable data pipelines, including EDA and hypothesis testing.

Key Requirements

  • •Strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and MLOps.
  • •Deep understanding of statistical modeling and predictive analytics for actionable insights.
  • •Experience with Python-based data ecosystems.
  • •Ability to build end-to-end ML pipelines, including ingestion, feature engineering, training, validation, and deployment.
  • •Experience operationalizing ML models in production and partnering with data engineering teams.
Skills:Data-driven decision-making
Tech Stack:PythonAIMachine LearningMLOpsDatabricks Mosaic AISnowflake CortexEDACI/CDModel monitoringModel governance

Company Brief

Birlasoft
Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Noida, India
WebsiteLinkedIn