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.

Company: HP, Inc.

Role: AI Developer

Location: Bengaluru, Karnātaka, India

Experience:

Typically has 5–10 years of experience in machine learning, data science, or software engineering roles, preferably in large-scale or enterprise environments.

Key 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)

Qualification:

Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline; or equivalent work experience.

Role Focus:

Designing, developing, and deploying machine learning models to address complex analytical problems.
Representing the team in cross-functional engagements with business, engineering, and analytics stakeholders, providing technical leadership in AI solution design and implementation.
Developing and maintaining scalable data pipelines and ML workflows across modern data platforms.
Building complex AI-driven solutions, independently implementing end-to-end pipelines from data ingestion to deployment.
Integrating technical expertise with business understanding to deliver impactful insights, collaborating with stakeholders to translate model outputs into actionable outcomes.
Designing, developing, testing, and deploying data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability.
Developing standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance.
Defining scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines.
Applying advanced subject matter knowledge, contributing to complex projects, and exercising independent judgment in resolving business issues and optimizing solutions.
Building strong internal and external working relationships and providing mentoring and guidance to junior team members.

Nice to have:

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

Other:

Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Equal Opportunity Employer (EEO)
No shift premium (India)
Relocation assistance not mentioned

AI Developer

Skills Required

Description