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Associate Machine Learning Jobs in Waterbury, CT

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... After completing general education requirements, Sailors may apply for an associate degree in their ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... After completing general education requirements, Sailors may apply for an associate degree in their ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... After completing general education requirements, Sailors may apply for an associate degree in their ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... After completing general education requirements, Sailors may apply for an associate degree in their ...

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Associate Machine Learning information

See Waterbury, CT salary details

$32.2K

$136K

$321.4K

How much do associate machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate machine learning in Waterbury, CT is $135,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $206,400.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

Production Associate

Wallingford, CT • On-site

That's Great News
Marketing • 11 - 50 employees

$14 - $15/hr

Full-time

Re-posted 6 hours ago


Job description

Job Summary
That's Great News LLC in Wallingford Connecticut is currently operating and looking for a full time, Shipping and Production Associate. Multiple shifts are available. We are looking for highly motivated people with attention to detail, a positive attitude and are capable of working in a fast paced environment. Computer proficiency is required. Some daily tasks are listed below.
  • Quality Control
  • Shipping and receiving
  • Machine Operation
  • Some heavy lifting (< 50lbs)

Previous experience is not necessary, but an aptitude and experience in machine operation is preferred. On site training will be provided. Multiple Shifts available.
The Company That's Great News, located in Wallingford, CT. specializes in designing and manufacturing customized plaques and recognition items for people and companies that have been featured in newspaper and magazine articles.. Core Values at That's Great News
Work as a Team
  • We drive success through a positive attitude and strong collaboration
  • We keep other informed by communicating with clarity across departments and individuals.
  • No one person has all the right answers, and no one person gets everything right so we seek advice from others
  • Laughing is important to our team spirit

Decide with Data
  • Test every aspect and use the results that your testing generates when making decisions and assessing performance.
  • NetSuite gives us lots of data, but as Einstein said 'Not everything that can be counted counts'. We have to pick not just data but the right data to direct our decisions.

Deliver Quality Quickly
  • Our speed to reach customers (and internal customers ... meaning other team members) is undoubtedly one of TGN's competitive advantages
  • Deliver personalized designs to customers within minutes or hours .... Not within days
  • Our best opportunity to provide a celebratory plaque is in that moment of emotion, at the point of euphoria. Just like with a date, show up a week late and you'll be disappointed.
  • However it can't be with a bad quality product. We get customer feedback that our products look great WHEN we get the quality right.

Make learning a priority
  • Is there a better way - maybe or maybe not? Very often there is a better way and we've just not found it yet. We always learn when we try and find out.
  • No-one is going to get in trouble for trying to find a better way, even if it doesn't always work out. But as a company we'll all be a in a lot of trouble if nobody tries to find a better way. Learning is a priority.

Job Type: Full-time
Pay: $14 - $15 per hour