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Machine Learning Intern Remote Jobs in Connecticut

The Hartford

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

... remote work arrangement, with the expectation of coming into an office as business needs arise. Responsibilities: * Create statistical models, algorithms, and machine learning techniques to enhance ...

Sensiple Inc.

Lead Python Developer

Hartford, CT · Remote

$141K - $173K/yr

Hartford, Connecticut, United States (Can try remote too) Contract only on W2 Candidates should ... Machine Learning Models Alert Management and Workflow Routing Frontend Dashboard Development ...

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Machine Learning Intern Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
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What job categories do people searching Machine Learning Intern Remote jobs in Connecticut look for? The top searched job categories for Machine Learning Intern Remote jobs in Connecticut are:
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Machine Learning Intern Remote jobs near you
Professional Coding Summer Intern

Professional Coding Summer Intern

Yale New Haven Health

Stratford, CT • Remote

$15.50 - $20.75/hr

Other

Posted 16 days ago

Yale New Haven Health rating

7.3

Company rating: 7.3 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

293rd of 875 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.
Coding Intern is a temporary level coding position aimed at introducing individuals to the coding experience. Incumbents are expected to learn coding rules, guidelines, classification systems and other relevant skills required to successfully code medical records. Responsibilities include learning and coding simple cases under direct supervision.
EEO/AA/Disability/Veteran


Responsibilities
  • Growth and Development - Coding Interns are expected to progress through learning different types of Coding within the first three months. It is expected the Intern will be able to understand coding rules, guidelines and classification systems. Navigate the medical record and understand the different types of documentation needed for the service lines.
  • Coding Expectations - Coders are expected to understand coding functions within departmental guidelines. Departmental guidelines include productivity expectations, goals, accurate use of coding statuses, work queues, hard stops and communication and relationship building with partner departments.
  • Coding Quality - Coders are expected to understand a minimum quality score of 95% in all aspects of their coding including diagnosis codes, PCS, CPT, modifiers etc.
  • Shadow Experience - Coding Interns will shadow other revenue cycle departments relevant to coding e.g., CDI (IP OP), Billing, Denials, Professional Coding. Coding Interns are expected to understand the roles of these areas and how they contribute to overall revenue cycle operations.
  • Presentation - Coding Interns will create and present a PowerPoint presentation highlighting their internship experience

Qualifications

EDUCATION

  • High School Diploma required. Recent graduate or currently enrolled in a Medical Coding Program strongly preferred.

EXPERIENCE

  • No coding experience required. Past experience in healthcare related fields preferred. Clinical experience is helpful but not required.

SPECIAL SKILLS

  • Knowledge of medical terminology, anatomy and physiology, and disease process acquired in educational program requirements
  • Good oral and written communication skills
  • Ability to exercise good judgment, independent logic, light typing, and excellent computer data entry skills
  • Computer system experience helpful

YNHHS Requisition ID
181501Qualifications:

EDUCATION

  • High School Diploma required. Recent graduate or currently enrolled in a Medical Coding Program strongly preferred.

EXPERIENCE

  • No coding experience required. Past experience in healthcare related fields preferred. Clinical experience is helpful but not required.

SPECIAL SKILLS

  • Knowledge of medical terminology, anatomy and physiology, and disease process acquired in educational program requirements
  • Good oral and written communication skills
  • Ability to exercise good judgment, independent logic, light typing, and excellent computer data entry skills
  • Computer system experience helpful
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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