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Sage · 9 hours ago

Principal Machine Learning Engineer

Atlanta, GA

Full-time

Hybrid

Lead/Staff

Sage is building innovative services and solutions using generative AI and machine learning to enhance user productivity. They are seeking a Principal Machine Learning Engineer to develop machine learning solutions that empower businesses with insights and to lead the company's AI and ML initiatives.

Business Information SystemsEnterprise SoftwareHuman ResourcesInformation TechnologySoftware

H1B Sponsor Likely

Hiring Manager

Na'Imah Tucker

Responsibilities

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

Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modeling

Proven quantitative and analytical skills with significant experience with data science tools

Ability to communicate complex ideas in machine learning to non-technical stakeholders

Qualification

Machine LearningPythonCloud EnvironmentsML Ops FrameworksData FundamentalsDeep LearningGenerative AIStatistical AnalysisAnalytical SkillsCommunication Skills

Required

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 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

Proven quantitative and analytical skills with significant experience with data science tools

Ability to communicate complex ideas in machine learning to non-technical stakeholders

Experience with one or more ML Ops frameworks — MLFlow, Kubeflow, Azure ML, Sagemaker

Demonstrated theoretical foundations in linear algebra, probability theory, or optimization

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

Preferred

Experience and training in finance and operations domains

Benefits

Competitive salaries

Comprehensive health, dental and vision coverage

401(k) retirement match (100% matching up to 4%)

32 days paid time off (21 personal days, 10 national holidays, 1 floating holiday)

18 weeks paid parental leave for birth, adoption or surrogacy offered 1 year after start date

5 days paid yearly to volunteer (through Sage Foundation)

$5,250 tuition reimbursement per calendar year starting 6 months after hire date

Sage Wellness Rewards Program ($600 wellness credit and $360 fitness reimbursement annually)

Library of on-demand career development options and ongoing training offerings

Company

Sage

Glassdoor4.0

At Sage, we knock down barriers with information, insights, and tools to help your business flow.

Founded in 1981

Newcastle Upon Tyne, Newcastle upon Tyne, GBR

10001+ employees

http://www.sage.com

H1B Sponsorship

Sage has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (8)

2024 (9)

2023 (3)

2022 (13)

2021 (6)

2020 (5)