Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work. The Finance AI/ML Engineer role focuses on developing and implementing AI and machine learning models to improve product performance and data management while collaborating with cross-functional teams.
Designs, develops and implements AI and machine learning models. This includes data pre-processing, feature engineering, algorithm selection, model training, and evaluation
Gathers and analyzes relevant data sets to train and test machine learning (ML) models. Understands data analysis techniques, statistical methods, and data visualization to gain insights from the data and make informed decisions
Optimizing algorithms and models to improve their performance is an essential responsibility for AI and Machine Learning Engineers. This involves fine-tuning hyperparameters, conducting experiments, implementing optimization techniques, and employing feature selection or dimensionality reduction methods
Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts. Collaboration is crucial for understanding project requirements, aligning objectives, and integrating AI/ML solutions into existing systems or products
Keeping accurate and up-to-date AI and machine learning project documentation. Document work, including methodologies, code, and experimental results. Responsible for preparing reports and presenting findings or recommendations to stakeholders
Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders to ensure that design choices align with project requirements and best practices
Actively seeks and incorporates feedback from the engineering manager or team leader during the design and implementation phases to ensure continuous improvement and adherence to project goals
Attends daily or weekly stand-up meetings led by the engineering manager or team lead providing updates on progress, discuss challenges, and coordinate efforts with other team members
Prepares and delivers detailed presentations and reports to stakeholders as directed by the engineering manager and team lead, ensuring that complex technical information is communicated clearly and effectively
May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods
Qualification
Required
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 0-2 years' experience
Proficiency in programming languages such as Python, R, or Java is required
Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn, is highly beneficial
A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods is crucial for building and evaluating machine learning models
In-depth knowledge of machine learning algorithms, techniques, and concepts is essential
Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis is necessary
Experience with SQL and databases and data visualization tools like Matplotlib or Tableau is required
Preferred
Master's degree is desirable
Artificial Intelligence Technologies
Cross Domain Knowledge
Data Engineering
Data Science
Design Thinking
Development Fundamentals
Full Stack Development
IT Performance
Machine Learning Operations
Scalability Testing
Security-First Mindset
Benefit
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
