Data Science Engineer - AI

HP
Bengaluru
Full timeFunction: Data Science & Machine LearningExperience: 5-10 yearsEducation: bachelorsSkills: ["Effective communication","Learning agility","Results orientation","Digital fluency","Customer centricity"]

Design and develop advanced AI/ML solutions to solve complex business problems. Build and deploy machine learning models, feature pipelines, scoring systems, and scalable data pipelines across modern data platforms. Lead AI solution design in cross-functional collaboration with business, engineering, and analytics stakeholders, translating model outputs into actionable outcomes. Contribute to reusable best practices and standards, and mentor junior team members to drive enterprise adoption of data-driven solutions.

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FursaFursa
HP
HP
11 hours ago

Data Science Engineer - AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and develop advanced AI/ML solutions to solve complex business problems. Build and deploy machine learning models, feature pipelines, scoring systems, and scalable data pipelines across modern data platforms. Lead AI solution design in cross-functional collaboration with business, engineering, and analytics stakeholders, translating model outputs into actionable outcomes. Contribute to reusable best practices and standards, and mentor junior team members to drive enterprise adoption of data-driven solutions.
Location: Bengaluru
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy machine learning models (regression, classification, ensemble) to address complex analytical problems.
  • •Develop and maintain scalable data pipelines and ML workflows across modern data platforms including distributed processing systems.
  • •Independently implement end-to-end pipelines from data ingestion to deployment, integrating business understanding with technical execution.
  • •Design, develop, test, and deploy data models, feature pipelines, and scoring systems with performance, reliability, and scalability in mind.
  • •Define standards, reusable templates, and best practices for model development, feature engineering, and evaluation; mentor junior team members.

Key Requirements

  • •Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related discipline; or equivalent work experience.
  • •Typically 5–10 years of experience in machine learning, data science, or software engineering roles, preferably in large-scale or enterprise environments.
  • •Proficiency in designing, developing, and deploying machine learning models (regression, classification, ensemble) for complex analytical problems.
  • •Experience building and maintaining scalable data pipelines and ML workflows across modern data platforms (cloud-based environments, distributed processing).
  • •Ability to design, develop, test, and deploy data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability.
Experience:5-10 yearsEnterpriseLarge-scale
Education:Bachelor's in Computer Science, Data Science, Artificial Intelligence, Engineering, or related discipline
Skills:Effective communicationLearning agilityResults orientationDigital fluencyCustomer centricity
Certifications:Microsoft Azure AI Engineer AssociateData Scientist AssociateDatabricks
Tech Stack:PythonSQLPySparkAzureAWSGCPPower BIAPI Development & IntegrationAutomationAgile MethodologySDLCMachine LearningFeature EngineeringModel EvaluationData VisualizationData Engineering & ETL Pipelines

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
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