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Machine Learning Internship Opt Cpt Jobs in Virginia

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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Machine Learning Internship Opt Cpt information

What kinds of projects or tasks can a Machine Learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a Machine Learning Internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

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

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.
What job categories do people searching Machine Learning Internship Opt Cpt jobs in Virginia look for? The top searched job categories for Machine Learning Internship Opt Cpt jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Internship Opt Cpt jobs? Cities in Virginia with the most Machine Learning Internship Opt Cpt job openings:
Machine Learning Internship Opt Cpt jobs near you

Machine Learning Engineer

Nastech Global

Fort Belvoir, VA • On-site

Contractor

Posted 20 days ago

Job description

Job Title:  Machine Learning Engineer
Location: Fort Belvoir, VA (5 days onsite)
Duration:  Long-Term Contract
Citizenship: US Citizen with active TS/SCI w CI Poly
 
Top Required Skills
AWS, ML/AI Development, Python or Scala, or Java, TS/SCI w CI Poly willing to work onsite in Ft. Belvoir
 
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in collaboration with other technical teams.
Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enable state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Be a trusted advisor to the Government to ensure all third-party vendors' platforms and code delivered are “fit for purpose”
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and
Use programming languages like Python, Scala, or Java.
Ability to mentor and coach junior resources with delivery tasks.
Self-motivated, with the ability to work effectively both independently and in a team environment
 
Thanks and Regards,
Murali Sharma
202-828-3494
Murali@NasTechglobal.com