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

This person will use predictive analytics, machine learning, relationship modeling, AI-assisted ... Engineering, Information Systems, or a related technical or quantitative field. · Strong hands-on ...

Position: R&D Engineering Intern   Opportunity Overview: Technergetics is searching for a ... machine learning and artificial intelligence, AI-enabled edge devices, and many more.    ...

Building solutions using virtual machines, cloud environments, repositories, databases, specialized ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Responsibilities Arcfield in Rome, NY is seeking a software engineer to join an Agile Scrum team ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Responsibilities Arcfield in Rome, NY is seeking a software engineer to join an Agile Scrum team ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Additionalresponsibility may include bond & grind process engineering.You will perform process ... Establish relationships across various departments to drive cohesive learning and cross functional ...

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Machine Learning Engineer information

See Utica, NY salary details

$32.2K

$131.6K

$197.7K

How much do machine learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for machine learning engineer in Utica, NY is $131,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $158,400.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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.

What cities near Utica, NY are hiring for Machine Learning Engineer jobs? Cities near Utica, NY with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Utica, NY as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,553 per year, or $63.2 per hour.
Frontend Developer - In Person Interview in Utica NY

Frontend Developer - In Person Interview in Utica NY

Visionsoft International

Utica, NY

$106K - $123K/yr

Other

Posted 12 days ago


Job description

Front End Developer

Utica, NY - In-person second round interview  

12+ Months

Job Description – Frontend Developer

We are seeking a skilled Frontend Developer to design, develop, enhance, and maintain responsive web application interfaces using the React.js and Angular.js frameworks. This role involves close collaboration with backend developers to integrate APIs, ensuring seamless delivery of product requirements and design specifications. You will actively contribute to quality assurance efforts and continuous UI/UX benchmarking, working alongside cross-functional teams including product managers, designers, and QA engineers to deliver high-quality, innovative software solutions.

Responsibilities:

  • Design, develop, and maintain user interface components using Angular, React.js and  Angular.js
  • Build and manage reusable component libraries for scalable development
  • Develop and integrate RESTful APIs (.net Core) and implement secure authentication (JWT/OAuth)
  • Apply modern JavaScript/TypeScript, RxJS, and state management tools (NgRx/Redux)
  • Implement WCAG 2.1 AA accessibility standards across all UI components and user flows
  • Translate UI/UX designs and wireframes into high-quality, maintainable code
  • Optimize components for performance and compatibility across various devices and browsers
  • Collaborate effectively with cross-functional teams and stakeholders throughout the development lifecycle.
  • Develop unit test case or test class and perform unit testing of the code.
  • Develop and maintain technical documentation.
  • Maintain and improve the performance of existing systems.  Maintain existing systems and debug existing source code and polish feature sets.  Recommend and implement process improvements.  
  • Continuously learn and improve skills by participating in formal and informal educational opportunities, reading professional publications, and maintaining personal networks.

Minimum Education and/or Experience Requirements:

  • 3+ years of hands-on experience developing web applications with React.js and Angular.js
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field from an accredited institution

Required Knowledge, Skills and Abilities:

  • Strong understanding of React.js/ Angular.js and its core principles, including popular workflows such as Flux or Redux
  • Experience integrating third-party JavaScript libraries (e.g., reporting, charting tools)
  • Strong proficiency in front-end web design such as Java Script, HTML 5, and CSS
  • Proficient in mobile Application development
  • Strong understanding of SOLID, async/await, Dependency injection
  • Strong understanding of data access technologies like  ADO.net, Entityframework, dapper·        
  • RDBMS skills including SQL Server 2019/2022
  • Debug using browser dev tools
  • Strong problem solving, analytical, critical thinking and decision making skills
  • Must be a creative and innovative thinker
  • Strong customer focus with sense of urgency
  • Strong team player with ability to collaborate with all levels of staff
  • Ability to work independently with limited supervision
  • Experience using source code management tools
  • Ability to translate business requirements into technical solutions
  • Excellent verbal and written communication skills
  • Travel is required at 5% of the time

Additional Preferred Skills

  • Experience developing UI/screens using Web Forms
  • Foundational knowledge of machine learning algorithms, deep learning frameworks, and data analysis especially in designing end to end AI solutions or integrating AI into existing applications