AI Solutions Engineer

Hewlett Packard Enterprise; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Hewlett Packard Enterprise in Bengaluru, India seeks an AI Solutions Engineer to develop and deploy machine learning models that drive innovation and business value. You will research and implement ML algorithms, run tests, and train systems as needed, contributing to scalable, production-grade ML pipelines.

The role involves optimizing models, collaborating with CI/CD teams, and partnering with research and engineering teams to enhance automated training techniques.

Qualifications

• Four-year or graduate degree in CS, statistics, mathematics, data science or related field, or commensurate work experience.
• Typically 4–7 years of work experience in programming, ML algorithms, statistics, or related field.

Responsibilities

• Develops and programs integrated software solutions for ML model lifecycle.
• Trains and validates models using evaluation metrics.
• Tunes hyperparameters to boost performance and generalization.
• Deploys ML models to production ensuring scalability and reliability.
• Monitors deployed models and updates to changing data or requirements.
• Designs ML systems, experiments with algorithms, and trains systems for efficiency.
• Develops and maintains ML pipelines to produce scalable models.
• Collaborates with CI/CD teams for seamless deployment to production.
• Partners with research and engineering teams to enhance automated training techniques.
• Applies ML and statistical modeling to business or research problems.

Skills

Python

Java

C++

Machine Learning

Deep Learning

Natural Language Processing

Data Science

Algorithms

Software Engineering

AI

Automation

Big Data

Computer Science

Education

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

Tools

AWS

Microsoft Azure

Apache Spark

TensorFlow

PyTorch

Scikit-learn

Job description

AI Solutions Engineer

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

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)

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