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Machine Learning Engineer Associate Jobs in Old Saybrook, CT

Yale New Haven Health

Data Scientist II

New Haven, CT · On-site

Experienced in programming with R to build machine learning models using a variety of techniques both linear and non-linear, for example, GLMNet, random forest and xgboost. Similar experience with ...

Yale New Haven Health

Data Scientist II

New Haven, CT · On-site

Experienced in programming with R to build machine learning models using a variety of techniques both linear and non-linear, for example, GLMNet, random forest and xgboost. Similar experience with ...

CivicMinds, Inc.

CNC Programmer

Chester, CT · On-site

$26.75 - $36.75/hr

Position: CNC Programmer Location: Chester, CT Type: Full-time | On-site Required Skills ... Associate's Degree Preferred * Knowledge of Siemens 840D, Fanuc and OSP machine controls

Varsity Tutors

Linear Algebra Tutor

New Haven, CT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

JARVIS AIRFOIL INC

Be Seen First

CNC Machinist - Milling/Setup - Lead

Portland, CT · On-site

$28 - $41/hr

Planning production by studying work orders, blueprints, engineering plans, materials ... Performing machine set-ups and leading other machinists Aerospace CNC Machinist EDUCATION ...

Marmon Holdings, Inc.

Process Engineer

West Haven, CT · On-site

We're committed to making a positive impact on the world, providing you with diverse learning and ... production machinery, noise, and moving equipment. * Occasional travel to suppliers or other ...

Marmon

Process Engineer

West Haven, CT

We're committed to making a positive impact on the world, providing you with diverse learning and ... production machinery, noise, and moving equipment. * Occasional travel to suppliers or other ...

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Machine Learning Engineer Associate information

See Old Saybrook, CT salary details

$42.1K

$83.8K

$133.8K

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

As of Jun 29, 2026, the average yearly pay for machine learning engineer associate in Old Saybrook, CT is $83,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $96,300.00 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 are Machine Learning Engineer Associates?

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 Old Saybrook, CT? The most popular types of Machine Learning Engineer jobs in Old Saybrook, CT are:
What job categories do people searching Machine Learning Engineer Associate jobs in Old Saybrook, CT look for? The top searched job categories for Machine Learning Engineer Associate jobs in Old Saybrook, CT are:
What cities near Old Saybrook, CT are hiring for Machine Learning Engineer Associate jobs? Cities near Old Saybrook, CT with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Data Scientist II

Data Scientist II

Yale New Haven Health

New Haven, CT • On-site

Full-time

Posted 20 days ago

Key responsibilities

  • Develops predictive applications and user interfaces for pilot testing and production use.

  • Cleans, validates, and analyzes data for predictive projects in collaboration with analysts and subject matter experts.

  • Documents predictive projects, including specification, development plans, monitoring plans, user documentation, and code.

Yale New Haven Health rating

7.3

Company rating: 7.3 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

295th of 877 rated healthcare providers

Job description

Overview
To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day.
The data scientist applies analytic skills to understand forecasting problems facing the health system, suggests pragmatic solutions, and develops applications implementing solutions in daily operations. The job requires excellent technical skills in manipulating and analyzing large volumes of data. The scientist demonstrates competency in using a variety of mathematical, statistical, and machine learning approaches to develop predictive solutions. In addition, the scientist must display excellence in teamwork and communication in all aspects of their work. EEO/AA/Disability/Veteran.
EEO/AA/Disability/Veteran
Responsibilities
  • Critically evaluates all requests for predictive applications.
    • Critically evaluates all requests for predictive applications.
    • Drafts specification document for new projects outlining needs, methods to address those needs, development timeline, and deliverables.
    • Reviews requests and proposed development plans with JDAT leadership with an evaluation of project feasibility.
    • Drafts approach to implement project in daily operations.
    • Works with other JDAT analysts to pull data for predictive projects.
    • Cleans and validates data using exploratory data analysis and collaboration with customers and clinical subject matter experts.
    • Finds the best predictive analytics approach and algorithm(s) to address above needs.
    • Develops predictive application and a user interface for pilot testing by requestors.
    • Drafts report of the predictive application's performance metrics for leadership and requestors.
    • Works closely with requestors to operationalize application.
    • Develops final production application and drafts monitoring and maintenance plan.
    • Drafts user documentation for production application, including the above plans.
    • Takes responsibility and ownership for production applications. Works independently to assure smooth operation.Independently manages work effort among several deployed and in-production predictive applications. When concerns regarding effort bandwidth arise, escalates issues to leadership.
    • Delivers applications according to timeline agreed upon by JDAT leadership and requestors.
  • Teamwork
    • Integrates with other members of the analytics team. Takes initiative to communicate, establishes and maintains relationships, and understands roles and processes.
    • Engages health system customers cordially and responds to requests in a timely manner.
    • Takes an active approach in ensuring customer satisfaction, including taking initiative for follow-up
  • Documentation
    • Keeps organized documentation on all predictive projects, from initial specification and development plans to project progress and milestones and finally maintenance and monitoring plans with follow-up notes on monitoring.
    • Drafts documentation for customers on application usage. Reviews drafts with JDAT leadership before publishing final version.
    • Documents all project code well to ensure maintainability and understanding by team members.
    • Version controls all project code and documentation and ensures that central JDAT repository has an up-to-date copy
  • Leadership
    • Displays strong organizational, problem solving and listening skills, attention to detail, innovative thinking and ability to inspire others.
    • Provides leadership and coordination to junior data scientists.
    • Provides training to other IT staff and user clients as appropriate.
    • Coordinates interactions and activities of vendors, both on-site and off-site.
  • Continuing Education
    • Regularly searches and seeks out other data science practitioners, whether online, locally, or through conferences. Learns from their experiences, communicates new findings to team members and leadership, and attempts to use new techniques.
    • After reviewing with JDAT leadership, pursues further career related coursework, either online or through physical attendance.

Qualifications
EDUCATION
Masters in data science, mathematics, statistics, engineering or closely related field required with work relevant to data science, such as modeling, will be given extra preference. PhD preferred
EXPERIENCE
Three years of experience statistical analysis or related work with at least one year experience in health care analytics. Epic certification in Analytics highly preferred. Fluency with EHR tools used for analytics, especially predictive analytics such as example fluencies: Epic Reporting Workbench, Caboodle and Clarity data models,utilities to work with Epic Cloud, understanding of Epic provided predictive models and use cases. Experienced in programming with R to build machine learning models using a variety of techniques both linear and non-linear, for example, GLMNet, random forest and xgboost. Similar experience with Python preferred. Experience with building C and C++ routines that can connect with R to optimize numerical routines is highly preferred. Familiarity with low level graphics libraries in R to develop novel data visualization methods a plus. Ability to apply all of the above to business problems and delivering solutions is highly valued. Experienced in applying abstraction and generalization to extract overall features of a project and then communicating these features in simple, outline form to others, especially clinical or administrative staff, who are seeking to understand the implications or ramifications of a predictive analytics project. Experience in communicating the outcome and results of a project to an academic audience a plus.
SPECIAL SKILLS
  • Excellent written and oral communication skills preferred
  • Experience in using the command-line interface in Windows and/or Linux.
  • Experience with open-source command-line utilities useful in data transformation and cleaning
  • Experience in using the git version control system.
  • Experience with good software engineering practices: writing small discrete procedures, unit testing, and writing libraries or packages
  • Ability to format written communications using the LaTeX document preparation system a plus.

PHYSICAL DEMAND
NA
YNHHS Requisition ID
173526

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