Data Science Engineer - AI

HP; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

HP in Bengaluru seeks a Data Science Engineer - AI to design and develop cutting-edge AI/ML solutions. You will build scalable models, data pipelines, and intelligent systems, while aligning with enterprise standards and quality controls.

The role involves collaborating with global teams, mentoring juniors, and delivering data-driven outcomes that impact business decisions at scale. A strong background in cloud-based ML workflows and SDLC practices is required.

Qualifications

• Four-year or graduate degree in CS/DS/AI or related field.
• 5–10 years of experience in ML, data science, or software engineering in enterprise environments.

Responsibilities

• Design, develop, and deploy ML models to solve complex analytical problems.
• Lead cross-functional engagements with business, engineering, and analytics stakeholders.
• Build and maintain scalable data pipelines and ML workflows on cloud platforms.
• Develop end-to-end AI-driven solutions from data ingestion to deployment.
• Translate model outputs into actionable business insights for stakeholders.
• Create data models, feature pipelines, and scoring systems with performance and scalability in mind.
• Develop standards and templates for model development and governance.
• Plan scope and deliverables for components in alignment with project timelines.
• Apply advanced knowledge to complex projects and independently resolve issues.
• Mentor junior team members and foster collaboration across teams.

Skills

Python

SQL

Distributed Computing

Data Engineering

API Development

Cloud Platforms

Machine Learning

Feature Engineering

Model Evaluation

Agile Methodology

Data Visualization

SDLC

Automation

Business Analysis

Debugging

Education

Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering

Tools

Azure

AWS

GCP

Databricks

Job description

Description -

Data Science Engineer - AI

Job Summary

This role is responsible for designing and developing advanced AI/ML solutions to solve complex business problems. The role applies deep technical expertise to build scalable models, data pipelines, and intelligent systems, while ensuring consistency, quality, and alignment with enterprise standards. The role contributes to complex initiatives, collaborates across global teams, and mentors junior team members to drive adoption of data-driven solutions.

Responsibilities

• Demonstrates proficiency in designing, developing, and deploying machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical problems.
• Represents the team in cross-functional engagements with business, engineering, and analytics stakeholders, providing technical leadership in AI solution design and implementation.
• Applies extensive technical knowledge to develop and maintain scalable data pipelines and ML workflows across modern data platforms (e.g., cloud-based environments, distributed processing systems).
• Applies organizational and third-party technologies to build complex AI-driven solutions, independently implementing end-to-end pipelines from data ingestion to deployment.
• Integrates technical expertise with business understanding to deliver impactful insights, collaborating with stakeholders to translate model outputs into actionable outcomes.
• Designs, develops, tests, and deploys data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability.
• Develops standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance.
• Defines scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines.
• Applies advanced subject matter knowledge, contributes to complex projects, and exercises independent judgment in resolving business issues and optimizing solutions.
• Builds strong internal and external working relationships and provides mentoring and guidance to junior team members.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline; or equivalent work experience.
• Typically has 5–10 years of experience in machine learning, data science, or software engineering roles, preferably in large-scale or enterprise environments.

Preferred Certifications

• Microsoft Azure AI Engineer Associate / Data Scientist Associate (preferred)
• Databricks or equivalent platform certifications (good to have)

Knowledge & Skills

• Agile Methodology
• Application Development
• Machine Learning (Supervised & Unsupervised)
• Feature Engineering & Model Optimization
• Model Evaluation (Accuracy, Precision, Recall, F1 Score, ROC-AUC)
• Python (Programming Language)
• SQL (Programming Language)
• Distributed Computing (e.g., PySpark or similar)
• Data Engineering & ETL Pipelines
• API Development & Integration
• Automation
• Business Process & Requirements Analysis
• Debugging & Performance Optimization
• Cloud Platforms (e.g., Azure, AWS, GCP)
• Data Visualization (e.g., Power BI or similar tools)
• Software Development Lifecycle (SDLC)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

Impacts functional and cross-functional teams by contributing technical expertise to AI/ML initiatives and supporting enterprise-scale analytics solutions.

Complexity

Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors, including technical feasibility, scalability, and business impact.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

Equal Opportunity Employer (EEO)

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”