AI Solutions Engineer

HP; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

HP is seeking an AI Solutions Engineer to develop and deploy ML solutions that drive business value. You will collaborate with data science, software engineering, and research teams to design scalable ML pipelines and production-ready models.

You will apply strong programming and ML skills, gain hands-on cloud experience, evaluate models, and translate complex data into actionable insights.

Qualifications

• Four-year or graduate degree in CS, Statistics, Mathematics, Data Science, or related field.
• Typically 4–7 years of work experience in programming, ML, algorithms, or related area.

Responsibilities

• Develops and programs integrated software solutions for ML model lifecycle.
• Trains and validates models using appropriate metrics.
• Optimizes hyperparameters for performance and generalization.
• Deploys ML models to production with scalability and reliability.
• Monitors deployed models and updates as data evolves.
• Spearheads ML system design and experiments for efficiency.
• Designs ML pipelines for scalable model production.
• Collaborates with CI/CD teams for seamless deployment.
• Partners with research and engineering to improve training techniques.
• Applies ML and statistical methods to business problems.

Skills

Python

Java

C++

TensorFlow

PyTorch

Scikit-learn

Apache Spark

Microsoft Azure

Amazon Web Services

Deep Learning

Natural Language Processing

Data Science

Machine Learning

Software Engineering

Algorithms

Big Data

HTTP/REST

Education

Four-year or Graduate Degree in CS/Statistics/Mathematics/Data Science

Tools

AWS

Azure

Job description

AI Solutions Engineer

Description -

Job Summary

• This role is responsible for specializing in development and deployment of machine learning models that drive innovation and business value. The role researches and implements appropriate ML algorithms and tools, runs machine learning tests and experiments, and trains and retrains systems when necessary. The role contributes to deploying models in production environments and ensuring their seamless integration.

Responsibilities

• Develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
• Trains and validates models using appropriate evaluation metrics and techniques.
• Optimizes and tunes hyperparameters to improve model performance and generalization.
• Deploys machine learning models to production environments, ensuring scalability, reliability, and efficiency.
• Monitors and maintains deployed models, making necessary updates to adapt to changing data or requirements.
• Spearheads the design of ML systems, experiments with ML algorithms, and regularly trains systems for maximum efficiency.
• Designs, develops, tests, and maintains ML pipelines that efficiently produce scalable models.
• Cooperates with CI/CD teams to ensure seamless deployment of models to production.
• Partners with research and engineering teams to enhance automated model training techniques.
• Applies machine learning and statistical modeling techniques to business or research problems.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with 3-5 years of work experience.

Preferred Certifications

• AWS Certified Machine Learning Specialty

Knowledge & Skills

• Agile Methodology
• Algorithms
• Amazon Web Services
• Apache Spark
• Artificial Intelligence
• Automation
• Big Data
• C++ (Programming Language)
• Computer Science
• Data Science
• Deep Learning
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow

Cross-Org Skills

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

Impact & Scope

• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity

• Responds to moderately complex issues within established guidelines.

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 -

Software

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