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Machine Learning Engineer Associate Jobs in Albany, NY

Excelsior College

Sr Data Scientist

Albany, NY

$85K - $95K/yr

Strong proficiency in Python, SQL, and common machine learning frameworks and libraries. * Experience with end-to-end model lifecycle management, including data preparation, feature engineering ...

Excelsior Collage

Sr Data Scientist

Albany, NY · On-site

$85K - $95K/yr

Strong proficiency in Python, SQL, and common machine learning frameworks and libraries. * Experience with end-to-end model lifecycle management, including data preparation, feature engineering ...

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 ...

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Showing results 21-40

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

Machine Learning Engineer Associate information

See Albany, NY salary details

$41.2K

$82K

$131.1K

How much do machine learning engineer associate jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning engineer associate in Albany, NY is $82,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $94,300.00 per year, depending on experience, location, and employer.

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

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
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 Associate jobs in Albany, NY? For Machine Learning Engineer Associate jobs in Albany, NY, the most frequently searched job titles are:
What cities near Albany, NY are hiring for Machine Learning Engineer Associate jobs? Cities near Albany, NY with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Albany, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,047 per year, or $39.4 per hour.

Sr Data Scientist

Excelsior College

Albany, NY

$85K - $95K/yr

Full-time

Re-posted 28 days ago

Job description

The data science center leads the development and implementation of machine learning and AI solutions that improve university operations and student outcomes. This role will focus on building, deploying, and scaling predictive and generative AI capabilities—including large language model (LLM) applications—to support strategic initiatives across marketing, admission, student advising, and academic affairs. The ideal candidate combines deep technical expertise with strong business partnership skills and a passion for applying cutting-edge AI technologies in a higher education environment.

Duties and Responsibilities: 

• Design, develop, validate, and deploy machine learning models to improve operational efficiency, decision-making, and student success outcomes.
• Build predictive models and intelligent decision-support tools for use cases such as enrollment marketing, student advising, course engagement, persistence, and retention.
• Develop and implement LLM-powered solutions by leveraging popular LLM APIs for university stakeholders.
• Evaluate emerging AI and machine learning technologies and recommend practical adoption strategies aligned with university goals, governance, and responsible AI principles.
• Partners with leaders and subject matter experts across marketing, advising, academic affairs, teaching and learning, and student success to identify high-impact opportunities for analytics and automation.
• Translate complex business problems into data science solutions, including experimentation, feature engineering, model development, and performance monitoring.
• Collaborate with IT teams to productionize models, integrate solutions into workflows, and maintain scalable, reliable data products.
• Communicate insights, model results, and recommendations clearly to technical and non-technical audiences through presentations, dashboards, and written documentation.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Master’s degree in data science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.
  • 2-3 years experience of data scientist or analyst.
  •  Demonstrated experience developing and implementing machine learning models in production environments.
  • Strong proficiency in Python, SQL, and common machine learning frameworks and libraries.
  • Experience with end-to-end model lifecycle management, including data preparation, feature engineering, training, validation, deployment, and monitoring.
  • Hands-on experience with LLMs, natural language processing, prompt design, evaluation, and/or generative AI applications.
  • Familiarity with cloud platforms and modern data science tooling for scalable model development and deployment.
  • Strong analytical, problem-solving, and communication skills, with the ability to influence decisions through data-driven insights.
  • Ability to work cross-functionally and manage multiple priorities in a collaborative environment.

The hiring salary range for this position is $85,000 - $95,000. The hiring salary range above represents the University’s good faith estimate at the time of posting.

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