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Machine Learning Engineer Jobs in Albany, NY (NOW HIRING)

Versant Health

Senior Data Scientist

Troy, NY · On-site

... engineering, or related field required. * 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments. * Required: Prior ...

Versant Health

Senior Data Scientist

Troy, NY

... engineering, or related field required. * 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data‑rich environments. * Required: Prior ...

Amtae Solutions LLC

Cloud Engineer (Programmer)

Albany, NY · On-site

$95K - $110K/yr

Machine Learning or AI model development experience. * Experience with Looker reporting and LookML ... Programming Languages: Python, JavaScript * Infrastructure as Code: Terraform * Version Control:

Brookfield

Sr P&C Data Scientist

Albany, NY

Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R) * Experience working with large, complex datasets and applying statistical or machine learning methods to ...

Farm Family

Sr P&C Data Scientist

Albany, NY · On-site

$102 - $152/hr

Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)* Experience working with large, complex datasets and applying statistical or machine learning methods to ...

NY CREATES

Metrology Engineer

Albany, NY

$110K - $120K/yr

Position Summary, Metrology Engineer NY Creates is seeking a highly skilled Semiconductor Metrology ... Exposure to machine learning applications in metrology or process control * Strong communication ...

Eclaro

Advanced Cloud Based Programmer

Albany, NY · On-site

Machine Learning or AI model development experience. * Experience with Looker reporting and LookML ... Programming Languages: Python, JavaScript * Infrastructure as Code: Terraform * Version Control:

Arcfield

Senior Principal Digital Engineer

Schenectady, NY · On-site

$121K - $167K/yr

This role will focus on implementing cutting-edge MBSE processes, advancing Digital Threads, integrating Artificial Intelligence/Machine Learning (AI/ML) methodologies, and modernizing engineering ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Albany, NY

Machine Learning Engineer information

See Albany, NY salary details

$31.3K

$127.9K

$192.2K

How much do machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning engineer in Albany, NY is $127,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Albany, NY? The most popular types of Machine Learning Engineer jobs in Albany, NY are:
What are popular job titles related to Machine Learning Engineer jobs in Albany, NY? For Machine Learning Engineer jobs in Albany, NY, the most frequently searched job titles are:
What cities near Albany, NY are hiring for Machine Learning Engineer jobs? Cities near Albany, NY with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Albany, NY as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $127,887 per year, or $61.5 per hour.

Senior Data Scientist

Versant Health

Troy, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Senior Data Scientist
Senior Data Scientist
Who are we?
Versant Health is one of the nation's leading administrators of managed vision care, serving millions of our clients' members nationwide. We are driven by our mission to help members enjoy the wonders of sight through healthy eyes and vision.
As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes health and dental insurance, tuition reimbursement, 401(k) with company match, pet insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also invested in your success. There are many opportunities for advancement and development throughout all stages of your career with us.
See how you can make a difference with the support of strong leadership and a team environment.
See Everything, Be Anything™.
What are we looking for?
The Senior Data Scientist is a principal-level individual contributor responsible for architecting, delivering, and governing enterprise-grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture.
This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high-risk analytical initiatives-particularly within regulated healthcare environments.
The Senior Data Scientist is accountable not only for model development, but for explainability, stability, auditability, and long-term operational viability of analytical solutions deployed at scale within the Microsoft data ecosystem.
Where you will have an impact
  • Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise-level decision-making across healthcare, operations, finance, and customer/member domains.
  • Own end-to-end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
  • Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility-particularly where ground truth or forward-looking forecasts are limited.
  • Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
  • Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high-impact, production-ready analytics.
  • Lead and influence analytics standards without direct authority.
  • Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation.
  • Guide and review work produced by other data scientists, analysts, and vendors to ensure technical rigor and business relevance.
  • Present complex analytical findings to senior leadership using clear narratives, decision-oriented visuals, and quantified trade-offs.
  • Proactively identify analytical risks, data limitations, and downstream impacts of modeling decisions.
  • Continuously evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains.

What's necessary to do the job?
  • Master's degree in data science, statistics, mathematics, computer science, engineering, or related field required.
  • 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments.
  • Required: Prior experience in healthcare analytics (payer, provider, life sciences, or regulated healthcare data domains).
  • Prior acutrary experience a plus.
  • Proven experience deploying production analytics or ML solutions supporting mission-critical business processes.
  • Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow where appropriate)
  • SQL (advanced T-SQL optimization, analytical patterns)
  • ML explainability and governance techniques (e.g., SHAP-style approaches, stability testing)
  • Deep, hands-on, production experience across sizable portion of the Microsoft analytics ecosystem, including:
  • Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, Notebooks)
  • Azure Synapse Analytics (dedicated & serverless SQL pools)
  • Azure Data Factory (Fabric Data Pipelines)
  • Azure Data Lake Storage
  • Azure Machine Learning (model training, deployment, monitoring)
  • Power BI (semantic models, DAX optimization, executive dashboards)
  • Microsoft Purview (data cataloging, lineage, classification)

HIPAA & Security Requirements
All Associates must comply with the Health Insurance Portability Accountability Act of 1996 (HIPAA) as it pertains to disclosures of protected health information (PHI) as described in the Notice of Privacy Practices and HIPAA Privacy Policies and Procedures. As a component of job roles and responsibilities, Associates may have access to covered information, cardholder data or other confidential customer information which must be protected at all times. As a result, Associates must explicitly adhere to all data security guidelines established within the Company's Privacy & Security Training Program.
We offer a comprehensive and competitive total rewards package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, and paid vision coverage; paid time off and company holidays; retirement savings with employer contribution; employee wellness resources; and professional development opportunities. Additional benefits may include flexible work arrangements, employee assistance programs, and other programs that support you both at work and beyond.
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 - $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation.
Versant Health will never request money from candidates who seek employment with us and will never ask for any payment as part of the recruitment process.
Versant Health is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at Versant Health without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

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