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Fall Machine Learning Co Op Jobs in Connecticut (NOW HIRING)

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

Glanbia

Blending Machine Operator

West Haven, CT · On-site

$20.39/hr

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

Glanbia

Blending Machine Operator

West Haven, CT · On-site

$20.39/hr

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

Glanbia

Blending Machine Operator

West Haven, CT · On-site

$20.39/hr

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

Glanbia

Blending Machine Operator

West Haven, CT · On-site

$20.39/hr

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

Glanbia

Blending Machine Operator

West Haven, CT · On-site

$20.39/hr

We co-innovate and deliver ingredient solutions and precision premixes for use in the mainstream ... May work in areas with mechanical moving parts, above ground with risk of fall, or areas with risk ...

Gorilla Commerce

Director of Legal

Norwalk, CT · On-site

Own retailer agreements, co-op contracts, vendor MSAs, and supplier agreements across domestic and ... Learning & Development : Professional development encouraged and opportunities provided annually.

Gorilla Commerce

Director of Legal

Norwalk, CT · On-site

Own retailer agreements, co-op contracts, vendor MSAs, and supplier agreements across domestic and ... Learning & Development : Professional development encouraged and opportunities provided annually.

Actalent

Technician

Bridgeport, CT

$24 - $26/hr

Military technical experience, vocational training, internship, co-op, or manufacturing experience ... learning how complex systems work, we'd love to hear from you. We value aptitude, curiosity, and a ...

CRH

Aggregate Management Trainee

New Britain, CT

This role emphasizes learning by doing--developing practical skills in production, mining ... Internship, co-op, or prior experience in mining, construction, manufacturing, heavy industry, or a ...

Actalent

Electrical Engineer

Glastonbury, CT

$31 - $41/hr

Internship, co-op, research project, capstone project, military technical experience, or other ... Strong problem-solving skills and a passion for learning new technologies. * Ability to communicate ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Connecticut

Fall Machine Learning Co Op information

See Connecticut salary details

$24.3K

$40.5K

$83.7K

How much do fall machine learning co op jobs pay per year?

As of Aug 17, 2026, the average yearly pay for fall machine learning co op in Connecticut is $40,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Connecticut?

For Fall Machine Learning Co Op jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Connecticut look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Connecticut are:

What cities in Connecticut are hiring for Fall Machine Learning Co Op jobs?

Cities in Connecticut with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $40,509 per year, or $19.5 per hour.

Senior Data Engineer

NAVA Software Solutions

Bloomfield, CT • On-site

$105K - $143K/yr

Full-time

Re-posted 22 days ago

Job description

NAVA Software solutions is looking for a Senior Data Engineer
Details:
Role: Senior Data Engineer
Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates
Duration: 6-12 months
What You Will Do:
The Senior Data Engineer is responsible for the delivery of a business need end-to-end starting from understanding the requirements to deploying the software into production. This role requires you to be fluent in some of the critical technologies with proficiency in others and have a hunger to learn on the job and add value to the business. Critical attributes of being a Senior Data Engineer, among others, is Ownership & Accountability.
In addition to Delivery, the Senior Data Engineer should have an automation first and continuous improvement mindset. They should drive the adoption of CI/CD tools and support the improvement of the tools sets/processes.
Behaviors of a Full Stack Engineer:
Senior Data Engineer is able to articulate clear business objectives aligned to technical specifications and work in an iterative, agile pattern daily. They have ownership over their work tasks, and embrace interacting with all levels of the team and raise challenges when necessary. We aim to be cutting-edge engineer - not institutionalized developers.
Key Characteristics and duties you will perform:
  • Analyze source data and data flows, working with structured and unstructured data.
  • Build data pipelines to extract, transform, crunch and store data in various target systems
  • Write reference-able & modular code
  • Design and architect the solution independently
  • Have a passion to learn, Take ownership and accountability
  • Deep desire for automation using devops practices and toolsets
  • Have a desire to simplify;be entrepreneurial / business minded

Skills and Experience You Will Need:
Mandatory:
  • 2+ years being part of Agile teams - Scrum or Kanban
  • 2+ years of solution architecting in cloud technology (eg. AWS, Azure, google cloud)
  • 6+ years of working in an object-oriented language: Java or Scala and Python
  • 3+ years of working experience in Apache Spark, PySpark, Apache Airflow
  • 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra
  • 3+ years of devops tool chain: Jenkins, Maven, Artifactory, Docker, Terraform, Ansible
  • 3+ years of experience in AWS Glue, SNS, SQS, S3, ECS, LAMBDA
  • 2+ years of working experience with operationalizing Machine learning models

Desired:
  • Understanding of Machine learning frame works (e.g. Scikit learning, Scipy)
  • Understanding and 1+ yrs of working experience with Deep learning frameworks

Skills/Certifications/Licenses:
  • Nice to have AWS solution architecture and developer certification
  • Nice to have data science and Machine learning certification from a reputed institution
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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