Data Scientist – Machine Learning Engineer Intern

Job not on LinkedIn

🔥 0 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DMS International

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📚 Education

Consulting • Education

DMS International is a Woman-Owned Small Business specializing in management, training, and information and communication technology services for the Federal government and the private sector. Founded in 1994, the company has built a strong reputation for providing exceptional national and international services and resources to its clients. It emphasizes communication, collaboration, and coordination to effectively address contemporary challenges. Additionally, DMS International offers custom-tailored workshops and seminars through its Leading from the Future program, focusing on the competencies of Strategic Foresight and Anticipatory Governance to enhance strategic planning and decision-making.

📋 Description

• Support the design, development, testing, and implementation of AI-powered products for content creation, learning, training, simulations, and decision support • Collaborate with developers, instructional designers, simulation specialists, and subject matter experts under the supervision of the AI and Simulation Program Manager • Support development of Generative AI and Large Language Model applications, including prompt engineering and Retrieval-Augmented Generation • Develop AI capabilities that transform source documents into courses, learning content, assessments, scenarios, case studies, and other digital content • Assist in developing AI-powered simulations and serious games, including dynamic scenarios, intelligent agents, participant analytics, and after-action reports • Collect, clean, analyze, and visualize structured and unstructured data • Develop natural language processing solutions for document summarization, semantic search, classification, information extraction, and question answering • Build prototypes and integrate AI/ML models with applications through APIs and cloud services • Conduct model testing and evaluation for performance, accuracy, reliability, bias, and hallucinations • Support responsible AI practices, model documentation, data governance, and AI risk management • Develop, train, test, and evaluate machine learning and predictive models • Research emerging technologies such as agentic AI, multimodal AI, synthetic data, digital twins, knowledge graphs, and adaptive learning

🎯 Requirements

• Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, and/or TensorFlow • Knowledge of Generative AI concepts, LLMs, prompt engineering, embeddings, RAG, and/or Hugging Face • Familiarity with REST APIs, Git/GitHub, and basic application development • Knowledge of statistical analysis, data visualization, and predictive modeling • Strong analytical and problem-solving skills • Curiosity about emerging AI technologies and willingness to experiment and learn • Ability to work independently and collaboratively within a multidisciplinary team • Experience through academic projects, research, hackathons, personal projects, or internships involving machine learning, Generative AI, NLP, simulations, analytics, or AI application development is preferred • GitHub portfolio or examples of AI/ML projects are encouraged • Experience or coursework in Python, SQL, Pandas, NumPy, and Jupyter Notebook • Exposure to OpenAI, Azure OpenAI, IBM watsonx, AWS/GCP AI services, LangChain, LlamaIndex, vector databases, FastAPI, Django, Flask, or Docker is a plus • Currently pursuing or recently completed a Bachelor’s, Master’s, or doctoral degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Statistics, Applied Mathematics, Computer or Software Engineering, Information Systems, Operations Research, or a related quantitative or technical field

🏖️ Benefits

• Equal Opportunity Employer • Part-time internship opportunity • Remote work arrangement