Artificial Intelligence Developer

HP; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

HP is seeking an Artificial Intelligence Developer in Bengaluru to design, develop, and deploy scalable AI/ML solutions for complex business problems. The role collaborates with global teams, mentors juniors, and drives data-driven outcomes.

Responsibilities include end-to-end ML workflows, data pipelines, and model evaluation. Strong cloud, Python, SQL, and SDLC expertise are required.

Qualifications

• Four-year or graduate degree in CS/DS/AI/Engineering or related discipline.
• Typically has 10+ years of experience in machine learning, data science, or software engineering roles, preferably in large-scale or enterprise environments.

Responsibilities

• Designs, develops, and deploys machine learning models (regression, classification, ensembles).
• Leads cross-functional engagements with business, engineering, and analytics stakeholders.
• Develops and maintains scalable data pipelines and ML workflows across cloud platforms.
• Builds end-to-end AI pipelines from data ingestion to deployment.
• Translates model outputs into actionable business insights for stakeholders.
• Designs and tests data models, feature pipelines, and scoring systems for performance and scalability.
• Creates standards, templates, and best practices for model development and governance.
• Defines scope, plans, and deliverables for components aligned to project goals.
• Contributes advanced SME knowledge to complex projects and mentors juniors.
• Builds strong internal/external relationships and provides guidance.

Skills

Agile Methodology

Application Development

Machine Learning

Feature Engineering

Model Optimization

Model Evaluation

Python

SQL

Distributed Computing

Data Engineering & ETL

API Development

Automation

Business Process Analysis

Debugging & Performance

Cloud Platforms

Data Visualization

SDLC

Effective Communication

Results Orientation

Education

Four-year or Graduate Degree in Computer Science, Data Science, AI, Engineering, or related discipline

10+ years of experience in machine learning, data science, or software engineering

Tools

Databricks

Microsoft Azure AI Engineer Associate

Data Scientist Associate

Job description

Artificial Intelligence Developer

Description -

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 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.

Job -

Services

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

Relocation -

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’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal\"