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Machine Learning Engineer Opt Jobs in Albany, NY

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves ...

Software Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

At Kitware, you'll work alongside researchers and engineers to turn cutting-edge computer vision, machine learning, and artificial intelligence research into robust software solutions. Your work won ...

Software Engineer

Clifton Park, NY · On-site

$85K - $125K/yr

At Kitware, you'll work alongside researchers and engineers to turn cutting-edge computer vision, machine learning, and artificial intelligence research into robust software solutions. Your work won ...

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following: * Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine learning ...

... 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 ...

Senior Data Scientist

Troy, NY · On-site

$150 - $210/hr

... 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 ...

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 ...

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:

Showing results 21-40

Machine Learning Engineer Opt information

See Albany, NY salary details

$31.3K

$127.9K

$192.1K

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

As of Sep 5, 2026, the average yearly pay for machine learning engineer opt in Albany, NY is $127,851.00, 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Albany, NY?

For Machine Learning Engineer Opt jobs in Albany, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in Albany, NY look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Albany, NY are:

What cities near Albany, NY are hiring for Machine Learning Engineer Opt jobs?

Cities near Albany, NY with the most Machine Learning Engineer Opt job openings:

Infographic showing various Machine Learning Engineer Opt job openings in Albany, NY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $127,851 per year, or $61.5 per hour.

$100K - $110K/yr

Full-time

Re-posted 14 days ago


Job description

The Data Engineer is an integral part of the Information Technology Services department (ITS), reporting to the Director of Business Intelligence (BI). The role will be involved in efforts to ensure the accuracy, integrity, and security of data within the BI system that supports data processing and analysis needs.
Interaction with stakeholders such as data governance workgroups, machine learning engineers, integration data pipeline builders, and BI developers is a key aspect of the role. The role involves designing, building, and maintaining test pipelines, data transformation or systems performance logs, and metadata or data catalogs. The Data Engineer is responsible for ensuring accurate and complete data collection, per business requirements, KPIs, and SLAs or SLOs. Gaining a thorough understanding of the data maintained in the enterprise data warehouse is mandatory. Advocating for data quality across teams is essential.
This is a full-time role with at least two required days at the Excelsior home office in Albany, NY. The remaining days can be worked from home. The Data Engineer will play a significant role in shaping the data operations strategy and infrastructure of the University.
Duties and Responsibilities:
  • Work with data analysts, data governance workgroups, and other stakeholders to understand their needs and translate them into technical requirements.
  • Maintain a strong understanding of business workflows, processes, and events, and relate this understanding to how these are captured in transactional systems.
  • Develop and implement strategies to ensure data is clean and reliable.
  • Design and execute tests to validate data transformations, migrations, and storage within the data warehouse environment.
  • Identify any errors or inconsistencies in the enterprise data warehouse.
  • Write technical documentation and term definitions in the Data Governance Platform.
  • Implement data governance and ensure data integrity across all BI initiatives.

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.
  • Bachelor's degree in computer science, information technology, systems engineering, database management, or related field
  • 8 years of experience writing and troubleshooting complex SQL queries (PL/SQL and TSQL) and Python or R data frame functions.
  • Strong understanding of relational database systems and data warehousing concepts.
  • Strong analytical, research, and critical thinking.
  • Experience in creating data quality requirements analysis documentation.

Strongly Preferred Qualifications:
  • Experience with reporting tools (Power BI, QlikView, or QlikSense).
  • Ability to work with a diverse group of stakeholders in a collaborative manner and communicate effectively.
  • Excellent organizational skills

The hiring salary range for this position is $100,000.00 - $110,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.