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

Machine Learning Engineer

Are you a passionate Machine Learning Engineer with a strong background in SageM...

Location

United States , Ashburn

Salary:

10.00 USD / Hour

Maxiom Technology

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred)
Proven experience in developing and deploying machine learning models using Amazon SageMaker
Strong background in prompt engineering techniques for fine-tuning LLM models
Proficiency in programming languages such as Python for model development and experimentation
Solid understanding of natural language processing concepts and techniques
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker
Experience with data preprocessing, feature engineering, and data augmentation
Problem-solving skills to diagnose and address model performance and data-related issues
Excellent communication skills to collaborate effectively within multidisciplinary teams
Ability to adapt to evolving technologies and learn quickly in a fast-paced environment

Job Responsibility

Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker
Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs
Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy
Design and implement experiments to evaluate model performance, iteratively improving results
Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques
Identify and troubleshoot issues related to model performance, data quality, and integration
Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring
Collaborate with software engineers to integrate machine learning solutions into our applications
Document your work, best practices, and findings to share knowledge across the team

What we offer

Opportunity to work on cutting-edge projects that push the boundaries of AI technology
Collaborative and inclusive work environment that values innovation and creativity
Access to resources and support for continuous learning and professional growth
Competitive compensation package and benefits

Fulltime

Data / Machine Learning Engineer

Inetum is in the midst of a strategic project to develop our competences in the ...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum of 2 years' experience as a Machine Learning Engineer or related position
Proficiency in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch)
Knowledge of mathematics and statistics, including linear algebra, differential calculus and probability
Experience of working with large datasets and their processing and analysis
Familiarity with cloud tools and platforms, such as Azure Machine Learning or Google Vertex AI
Ability to work in a team and communicate with technical and non-technical stakeholders

Job Responsibility

Design, development and implementation of machine learning models and AI systems in cloud environments (Azure, Google Cloud)
Creating and maintaining data pipelines: from data extraction and cleaning to feature engineering and preparing data for modelling
Selection of appropriate ML algorithms and their implementation and optimisation in the context of specific business problems
Collaborating with Data Science, Data Engineering and Software Development teams to integrate models into production systems
Monitoring model performance, conducting A/B testing and updating models in response to changing data and requirements
Keeping abreast of the latest ML trends and technologies and proposing innovative solutions

What we offer

Flexible working hours
Hybrid work model
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists

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

The Machine Learning Engineer is a practitioner and advocate of state-of-the-art...

Location

Portugal , Oporto; Lisbon; Funchal; Ponta delgada

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Experience in designing, implementing, deploying and using various AI models and algorithms
Experience in deploying AI solutions (e.g. CI/CD pipeline, API development, containers)
Strong programming skills in Python
Understanding of machine learning/AI frameworks and libraries
Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
Experience with SQL and/or Snowflake
Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
Proficiency in data preprocessing and feature and/or prompt engineering
Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies

Job Responsibility

Deliver solutions that challenge the status quo, taking full responsibility for your AI solutions from design to operation
Collaborate with your team to enable AI engineering skills and capabilities across TUI Group
Research, evaluate, and test new approaches, processes, and tools
Participate in Communities of Practice and collaborate on shared initiatives
Build and maintain self-build segmentation models
Lay the foundation for data science driven decision making and personalised offers
Deliver innovative and inspiring customer experiences in TUIs digital channels

What we offer

Attractive remuneration
Bonus opportunity
Exclusive travel perks & discounts
Extensive health & wellbeing support
Flexible working models
Opportunities to upskill, reskill and grow your career
Access to TUI Tech Learning Hub
Participation in tech communities and collaboration on global projects and teams
Involvement with local charity and sustainability initiatives

Fulltime

Machine Learning Ops Engineer

The Customer AI & Rapid Prototyping department stands at the forefront of digita...

Location

Portugal , Oporto; Lisbon; Funchal; Ponta delgada

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Experience in productionising and using various AI models and algorithms
Experience in deploying AI solutions using CI/CD pipelines, API development and containers
Strong programming skills in Python
Understanding of machine learning/AI frameworks and libraries
Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
Experience with monitoring and log collection systems (e.g. DataDog)
Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies

Job Responsibility

Develop, implement, and maintain machine learning models and algorithms
Work closely with cross-functional teams to integrate ML solutions into production systems
Monitor and optimize the performance of deployed AI models
Collaborate with engineering colleagues on AI-related tasks to deliver impactful, data-driven solutions
Research, evaluate, and test new approaches, processes, and tools

What we offer

Attractive remuneration
bonus opportunity
exclusive travel perks & discounts
extensive health & wellbeing support
Flexible working
hybrid or remote working models
Opportunities to upskill, reskill and grow your career
Access the TUI Tech Learning Hub
Participate in our tech communities and collaborate on global projects and teams
Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community

Fulltime