AI and Machine Learning Engineer Job at Hewlett Packard Enterprise (Bangalore)

AI and Machine Learning Engineer

We are seeking AI/ML & Innovation Engineer who will be leading initiatives acros...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master’s degree is desirable
Typically, 2-4 years’ experience
A solid understanding of mathematics, including linear algebra, calculus, and probability theory
Proficiency in programming languages such as Python, R, or Java
Knowledge of relevant libraries and frameworks like TensorFlow, PyTorch, scikit-learn, or Keras
Experience with SQL for data manipulation and database querying
Understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc

Job Responsibility

Design, develop, and implement machine learning models and algorithms
Prepare and pre-process large datasets for machine learning tasks
Train machine learning models using appropriate algorithms and frameworks
Collaborate with cross-functional teams
Contribute to design review sessions
Deals with real-world datasets
Provides feedback to peers
Contribute to stand-up meetings
Prepare comprehensive presentations and reports
Interpret and report data findings

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

AI and Machine Learning Engineer

This role involves designing, developing, and optimizing AI and machine learning...

Location

United States , Spring

Salary:

79700.00 - 183200.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
0-2 years’ experience
Proficiency in programming languages such as Python, R, or Java
Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn
A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods
In-depth knowledge of machine learning algorithms, techniques, and concepts
Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis
Experience with SQL and databases and data visualization tools like Matplotlib or Tableau

Job Responsibility

Designs, develops and implements AI and machine learning models
Gathers and analyzes relevant data sets to train and test machine learning (ML) models
Optimizes algorithms and models to improve their performance
Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts
Keeps accurate and up-to-date AI and machine learning project documentation
Prepares reports and presents findings or recommendations to stakeholders
Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders
Actively seeks and incorporates feedback from the engineering manager or team leader
Attends daily or weekly stand-up meetings
Prepares and delivers detailed presentations and reports to stakeholders

What we offer

Comprehensive health & wellbeing benefits
Investment in personal & professional development
Inclusive work environment celebrating individual uniqueness
Flexibility to manage work and personal needs

Fulltime

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise focusing on ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master's degree is desirable
Typically 5-7 years' experience
Deep understanding of machine learning algorithms such as linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
Strong foundation in mathematics and statistics including linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with software engineering best practices, version control systems, and software development methodologies
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
Proficiency in using agentic frameworks like langGraph or similar frameworks
Knowledge in lineage tracking of agentic architectures

Job Responsibility

Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies and identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications during development phase and in production
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Collaborate with cross-functional teams including product managers, data scientists, and business analysts
Drive continuous improvement and innovation in AI and machine learning practices
Evaluate and integrate third-party tools or services
Facilitate design review sessions

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

AI and Machine Learning Engineer

HPE Labs - AI and Machine Learning Engineer. This role has been designed as ‘Hyb...

Location

United States , Andover

Salary:

136500.00 - 260500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI
Familiarity with AI, Machine Learning and Deep Learning algorithms
Experience with Generative AI: Large Language Models, Time Series Foundation Models, Diffusion Models, etc.
Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm, Common Metadata Framework)
Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow)
Experience with agentic AI platforms (e.g., LangGraph, CrewAI, ADK, etc.)
Strong programming skills in Python, C/C++, with high proficiency in data structures and algorithms
Experience with CI/CD code development
Outstanding analytical and problem solving skills

Job Responsibility

Research and development of advanced technologies in Data-centric and Trustworthy AI, including data and knowledge context retrieval, filtering, prioritization, generative AI model materialization, advanced reasoning and validation, to improve quality of AI agentic workflows
Development of capture, management, search, enhancement and interpretation of meta-data and lineage for AI pipelines that enable reproducibility, reuse and optimization of pipelines
Discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications
Development, evaluation and testing of Foundation AI models for different modalities: Natural Language Processing - NLP, Large Language Models - LLM, Time Series Analysis, Computer Vision, AI for Science, etc., and augmentation of AI models with structured knowledge (i.e., knowledge infused learning)

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior AI and Machine Learning Engineer

Senior AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 9 -10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Proficiency in using agentic frameworks like langGraph or similar other frameworks
Knowledgeable in lineage tracking of agentic architectures
Knowledge of evaluation of traditional AI/ML and Gen-AI based applications - during development phase and in production

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Provides technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...

Location

United States , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 7-10 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
A strong foundation in mathematics and statistics
Proficiency in programming languages such as Python, R, or Java
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Advanced knowledge and experience in deep learning

Job Responsibility

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
Develops, implements, and optimizes machine learning models and algorithms
Deploys machine learning models into production environments
Monitors the performance of deployed models
Organizes and leads comprehensive design review sessions
Works collaboratively with the engineering manager and team lead to set design and implementation standards
Regularly leads meetings
Has experience in providing technical leadership, mentorship, and guidance to junior team members
Develops and delivers strategic presentations and reports to senior stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Machine Learning Engineer - Data Foundation and AI

You’ll be a machine learning engineer on the Data Foundation & AI team. In this ...

Location

United States , San Francisco

Salary:

186000.00 - 236400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

1-3 years of experience training, deploying, and scaling ML/AI models in production environments
Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Job Responsibility

Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers
Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available
Developing new AI applications that enable innovative product experiences across fintech
Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency
Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team
Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Machine Learning Engineer - Data Foundation and AI

You’ll be a machine learning engineer on the Data Foundation & AI team. In this ...

Location

United States , New York

Salary:

186000.00 - 236400.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

1-3 years of experience training, deploying, and scaling ML/AI models in production environments
Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Job Responsibility

Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers
Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available
Developing new AI applications that enable innovative product experiences across fintech
Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency
Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team
Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

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AI and Machine Learning Engineer

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AI and Machine Learning Engineer

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