Sage
Principal Machine Learning Engineer
Job Description:
Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights.
We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Artificial Intelligence and Machine Learning initiatives.
This is a hybrid role - three days per week in our Atlanta or Lawrenceville office.
If you share our excitement for applying artificial intelligence and machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!
You have:
Keen interest in artificial intelligence and machine learning and extensive practical experience with it
Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. OpenAI, HuggingFace, Spark, Azure, AWS)
Extensive experience with cloud environments (AWS, Azure, GCP)
Ability to write highly performant code working with big data
Bachelor's degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. computer science/engineering, statistics, applied math)
Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modeling
Strong quantitative and analytical skills with significant experience with data science tools
Ability to communicate complex ideas in machine learning to non-technical stakeholders
You may have:
Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker
Strong theoretical foundations in linear algebra, probability theory, or optimization
Experience and training in finance and operations domains
Deep experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent
Experience wrangling complex and diverse data to solve real-world problems
Key Responsibilities:
You will:
Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows
Develop our internal ML platform to support our machine learning systems and our own efficiency
Monitor and optimize the quality and performance of our models, services, and tools
Collaborate with our AI Platform team to extend the capabilities of our machine learning platform
Design and write robust production-quality code to support our machine learning systems
Build and operate pipelines for accessing and enriching data for machine learning
Train, tune, and ship models
Mentor other ML engineers, software engineers, and data scientists in best practices
Work with product managers and data scientists to translate product/business problems into tractable machine learning solutions
#LI-BJ1
Function:
Product
Country:
United States
Office Location:
Atlanta
Work Place type:
Hybrid
Advert
Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.
Our colleagues are the best of the best. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
Learn more about working at Sage:sage.com/en-us/company/careers/working-at-sage/
Watch a video about our culture:youtube.com/watch?v=h1-vs3zIpnc
We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out atcareers@sage.com.
Learn more about DEI at Sage:sage.com/en-us/company/careers/diversity-equity-and-inclusion/
Equal Employment Opportunity (EEO)
Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.
Job Description:
Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights.
We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Artificial Intelligence and Machine Learning initiatives.
This is a hybrid role - three days per week in our Atlanta or Lawrenceville office.
If you share our excitement for applying artificial intelligence and machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!
You have:
Keen interest in artificial intelligence and machine learning and extensive practical experience with it
Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. OpenAI, HuggingFace, Spark, Azure, AWS)
Extensive experience with cloud environments (AWS, Azure, GCP)
Ability to write highly performant code working with big data
Bachelor's degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. computer science/engineering, statistics, applied math)
Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modeling
Strong quantitative and analytical skills with significant experience with data science tools
Ability to communicate complex ideas in machine learning to non-technical stakeholders
You may have:
Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker
Strong theoretical foundations in linear algebra, probability theory, or optimization
Experience and training in finance and operations domains
Deep experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent
Experience wrangling complex and diverse data to solve real-world problems
Key Responsibilities:
You will:
Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows
Develop our internal ML platform to support our machine learning systems and our own efficiency
Monitor and optimize the quality and performance of our models, services, and tools
Collaborate with our AI Platform team to extend the capabilities of our machine learning platform
Design and write robust production-quality code to support our machine learning systems
Build and operate pipelines for accessing and enriching data for machine learning
Train, tune, and ship models
Mentor other ML engineers, software engineers, and data scientists in best practices
Work with product managers and data scientists to translate product/business problems into tractable machine learning solutions
#LI-BJ1
Function:
Product
Country:
United States
Office Location:
Atlanta
Work Place type:
Hybrid
Advert
Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.
Our colleagues are the best of the best. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
Learn more about working at Sage:sage.com/en-us/company/careers/working-at-sage/
Watch a video about our culture:youtube.com/watch?v=h1-vs3zIpnc
We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out atcareers@sage.com.
Learn more about DEI at Sage:sage.com/en-us/company/careers/diversity-equity-and-inclusion/
Equal Employment Opportunity (EEO)
Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.