Ai Data Analytics Jobs (NOW HIRING)

Job Summary:
HP is a technology company seeking a professional to design and develop advanced AI/ML solutions. The role involves building scalable models, data pipelines, and intelligent systems while collaborating across global teams and mentoring junior members.
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.
Qualifications:
Required:
• 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.
• 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.
• 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)
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Preferred:
• Microsoft Azure AI Engineer Associate / Data Scientist Associate (preferred)
• Databricks or equivalent platform certifications (good to have)
Company:
HP is a manufacturer and seller of personal computers, printers, computer hardwares, and business solutions. Founded in 1939, the company is headquartered in Palo Alto, USA, with a team of 10001+ employees. The company is currently Late Stage.