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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

Fluid Bed Machine Operator

West Haven, CT · On-site

$24.71/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

Fluid Bed Machine Operator

West Haven, CT · On-site

$24.71/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 ...

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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 Jun 30, 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.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

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.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

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.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
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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 June 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,509 per year, or $19.5 per hour.
Entry level java programmer with NLP Deep learning/(Remote)

Entry level java programmer with NLP Deep learning/(Remote)

SynergisticIT

Manchester, CT • On-site

Other

Posted 6 days ago

Job description

Job Opportunity at SynergisticIT

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens.

We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, etc. to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.

Who Should Apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and green card filing to candidates. Candidates can benefit from skill enhancement if they fall into the below categories: candidates who lack experience or are freshers with no actual on-job experience with projects with clients, have had a break in careers, lack technical competency or skills being demanded by clients, different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

Required skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, JavaScript, C++, or software programming
  • Spring boot, Microservices, Docker, Jenkins, and REST API's experience
  • Excellent written and verbal communication skills

Required skills for Data Science/Machine Learning:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or C2C candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

Apply