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Machine Learning Intern Remote Jobs in Missouri (NOW HIRING)

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Senior AI/ML Engineer

Jefferson City, MO · On-site +1

$99K - $136K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

$165K - $212K/yr

Build and scale data science capabilities, including machine learning, AI-driven solutions, and advanced analytics to optimize retail operations and customer engagement * Partner with business units ...

Implementation Manager

Kansas City, MO · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Data Engineer AI

Kansas City, MO · On-site +1

$111K - $134K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Data Engineer AI

Saint Louis, MO · On-site +1

$111K - $133K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... LI-TS1 #remote Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

$97K - $128K/yr

... machine learning, large language models, or AI-assisted development workflows. * Proven ability to ... Flexible and remote-friendly working environment designed to support autonomy and accountability.

$9.0K/mo

Opportunity to travel to our remote site to relieve and work on the frontline to join a truly ... Grow your career with us with ongoing learning and development. * Get exposure to work across ...

Senior Software Engineer

Saint Louis, MO · On-site +1

$104K - $156K/yr

... AI and machine learning at a global level. You will build and deliver critical platform ... Work with data ranging from on farm collected precision agriculture data to remote sensed satellite ...

Senior Software Engineer

Creve Coeur, MO · On-site +1

$104K - $156K/yr

... AI and machine learning at a global level. You will build and deliver critical platform ... remote sensed satellite imagery Implement efficient algorithms and services for diverse and ...

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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.
What are the most commonly searched types of Machine Learning Remote jobs in Missouri? The most popular types of Machine Learning Remote jobs in Missouri are:
What are popular job titles related to Machine Learning Intern Remote jobs in Missouri? For Machine Learning Intern Remote jobs in Missouri, the most frequently searched job titles are:
Data Scientist

Data Scientist

Healthcare Fraud Shield

Chesterfield, MO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Healthcare Fraud Shield is looking for a Data Scientist to join the team.
  • Provide technical contributions in a fast-paced R&D team environment to accelerate our efforts on building new analytics.
  • Utilize advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions.
  • Analyze data sets and develop models to predict fraud, waste, and abuse.
  • Document and present results to internal team members for development and inclusion in company products and analysis.
  • Satisfies all applicable requirements imposed by applicable Company customers, clients, or business partners, with respect to the relationship and role.
  • Understands and complies with all company Privacy and Security standards.
  • This job requires access to confidential and sensitive information, requiring ongoing discretion and secure information management.
  • Strong in mathematics and statistics
  • Experience coding and modeling using Python 
  • Experience with SQL
  • Strong language skills, with the ability to develop and implement natural language prompts for prompt engineering applications
  • Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the subject matter with team members
  • Medical, Dental & Vision insurance
  • 401(k) retirement savings with employer match vesting immediately
  • Vacation and sick paid time off
  • 7 paid holidays & 2 floating holidays
  • Paid maternity/paternity leave
  • Disability & Life insurance
  • Flexible Spending Account (FSA)
  • Employee Assistance Program (EAP)
  • Free on-site fitness center
  • Professional and career development initiatives
  • Remote work eligible

REMOTE WORK REQUIREMENTS:
  • Must have high speed Internet (satellite is not allowed for this role) with a minimum speed of 25mbs download and 5mbs upload.

Healthcare Fraud Shield is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law