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Machine Learning Engineer Python Jobs in Connecticut

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Senior ML Ops Engineer

Norwalk, CT · On-site

$107.65K - $171.95K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... Strong Python, Java, and/or Scala experience will be considered a plus. * Hands-on‑ experience ...

AI Solutions Architect

Stamford, CT · On-site

$67.25 - $88.50/hr

... machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models • Collaborating with architects, engineers, data scientists, and ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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Machine Learning Engineer Python information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Connecticut? For Machine Learning Engineer Python jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Machine Learning Engineer Python jobs? Cities in Connecticut with the most Machine Learning Engineer Python job openings:
Infographic showing various Machine Learning Engineer Python job openings in Connecticut as of May 2026, with employment types broken down into 38% Full Time, 59% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Junior Software Engineer

Junior Software Engineer

SynergisticIT

Stamford, CT • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Synergisticit Job Opportunities

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't 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 1000's 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, machine learning engineers for full time positions with clients.

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

If you applied for a job and got emails from our job placement program team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

We regularly interact with the top tech companies to give our candidates a competitive advantage-please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

For preparing for interviews please visit synergisticit interview questions.

We are looking for the right matching candidates for our clients. Please apply via the job posting.

Required skills for Java/Full stack/Software Programmer:

  • 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 positions:

  • 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, SAS, Tensorflow

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates