... analytics, machine learning experts, and product to build new features • Leverage your experience to drive best practices in ML and data engineering Qualifications : Required : • 5+ years of ...
... analytics, machine learning experts, and product to build new features • Leverage your experience to drive best practices in ML and data engineering Qualifications : Required : • 5+ years of ...
Key Responsibilities: 1) Understand business requirements and analyze datasets to determine ... Data Model, Machine Learning, Data Science Skills Preferred: GCP, Data Analysis, Python, Artificial ...
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Key Responsibilities: 1) Understand business requirements and analyze datasets to determine ... Data Model, Machine Learning, Data Science Skills Preferred: GCP, Data Analysis, Python, Artificial ...
Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA · On-site
$124K - $170K/yr
... analytics, machine learning experts, and product to build new features • Leverage your experience to drive best practices in ML and data engineering Qualifications : Required : • 10+ years of ...
Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA · On-site
$124K - $170K/yr
... analytics, machine learning experts, and product to build new features • Leverage your experience to drive best practices in ML and data engineering Qualifications : Required : • 10+ years of ...
Adjunct Faculty
Miami, FL · On-site
Business, Data Science, Sports Analytics, Machine Learning, Artificial Intelligence (AI), Cybersecurity * Sports Technology, Virtual Reality, Sports Engineering * Sports Nutrition, Exercise Science ...
Quick apply
Adjunct Faculty
Miami, FL · On-site
Business, Data Science, Sports Analytics, Machine Learning, Artificial Intelligence (AI), Cybersecurity * Sports Technology, Virtual Reality, Sports Engineering * Sports Nutrition, Exercise Science ...
Machine Learning Engineer
Plano, TX · On-site
Design, develop, and maintain machine learning solutions that support advanced analytics and predictive modeling initiatives. * Build and optimize ML-ready data pipelines and data architectures using ...
Machine Learning Engineer
Plano, TX · On-site
Design, develop, and maintain machine learning solutions that support advanced analytics and predictive modeling initiatives. * Build and optimize ML-ready data pipelines and data architectures using ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Quick apply
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
You will have to work with data to create models, perform statistical analysis, and train and ... machine learning systems Research and implement appropriate Client algorithms and tools Develop ...
You will have to work with data to create models, perform statistical analysis, and train and ... machine learning systems Research and implement appropriate Client algorithms and tools Develop ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...
Machine Learning Engineer
Boston, MA · On-site
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...
Machine Learning Engineer
Boston, MA · On-site
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Quick apply
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches. * Apply natural language processing (NLP) techniques to analyze and ...
Run machine learning tests and experiments ... Perform statistical analysis and fine-tuning using test results * Train and retrain systems when ...
Quick apply
Run machine learning tests and experiments ... Perform statistical analysis and fine-tuning using test results * Train and retrain systems when ...
PYTHON, ANALYSIS RoleMachine Learning Engineer Industry TypeIT Services & Consulting Functional AreaData Science & Analytics Employment TypeFull Time, Permanent Role CategoryData Science & Machine ...
PYTHON, ANALYSIS RoleMachine Learning Engineer Industry TypeIT Services & Consulting Functional AreaData Science & Analytics Employment TypeFull Time, Permanent Role CategoryData Science & Machine ...
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong analytical and problem-solving skills. * Excellent communication and teamwork abilities.
The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong analytical and problem-solving skills. * Excellent communication and teamwork abilities.
Responsibilities: • Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud (Azure preferred) & on-premises powering client's Data & Analytics products and ...
Responsibilities: • Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud (Azure preferred) & on-premises powering client's Data & Analytics products and ...
... and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept ...
... and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept ...
Machine Learning Engineer
Herndon, VA · On-site
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...
Machine Learning Engineer
Herndon, VA · On-site
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...
Machine Learning Engineer
Chantilly, VA · On-site
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...
Machine Learning Engineer
Chantilly, VA · On-site
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...
Sports Analytics Machine Learning information
What is sports analytics machine learning?
Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.
How do Sports Analytics Machine Learning professionals typically collaborate with coaches and athletes to impact game strategy?
Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.
What are the key skills and qualifications needed to thrive as a Sports Analytics Machine Learning Specialist, and why are they important?
To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.
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What job categories do people searching Sports Analytics Machine Learning jobs look for? The top searched job categories for Sports Analytics Machine Learning jobs are:
Full-time
Posted 3 days ago
Job description
Job Summary:
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
About ServiceNow
Sourced by ZipRecruiter
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2004