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Tensorflow Internship Jobs in Baltimore, MD (NOW HIRING)

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Tensorflow Internship information

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$11

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$41

How much do tensorflow internship jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for tensorflow internship in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can a TensorFlow intern expect to work on during their internship?

As a Tensorflow intern, you will typically assist with developing and optimizing machine learning models using Tensorflow, collaborating closely with data scientists and engineers. Your daily tasks may include preprocessing datasets, implementing neural networks, running experiments, and evaluating model performance. Interns often contribute to ongoing research or product development, gaining exposure to both coding and theoretical aspects of deep learning. You'll also have opportunities to participate in code reviews and team meetings, fostering both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a TensorFlow intern, and why are they important?

To thrive as a TensorFlow Intern, you typically need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects. Familiarity with Python, TensorFlow, and related libraries, as well as experience using version control systems like Git, is essential. Strong problem-solving skills, curiosity, and effective teamwork set standout candidates apart. These abilities are crucial for efficiently developing and testing machine learning models within collaborative and innovative environments.

What is a TensorFlow internship?

A TensorFlow internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with TensorFlow, an open-source machine learning framework developed by Google. Interns typically contribute to real-world projects involving machine learning, deep learning, and AI, using TensorFlow to build, train, and deploy models. These internships provide practical exposure to data science workflows, allow interns to collaborate with experienced professionals, and help them build a strong foundation for a career in artificial intelligence or machine learning.

What are the most commonly searched types of Tensorflow jobs in Baltimore, MD?

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Tensorflow Internship jobs near you
Infographic showing various Tensorflow Internship job openings in Baltimore, MD as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.

Artificial Intelligence/Machine Learning Engineer, Junior

EverWatch

Annapolis Junction, MD • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. The AI/ML Engineer will develop and deploy artificial intelligence and machine learning solutions to enhance operational workflows and support decision-making in secure environments.
Responsibilities:
• Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security.
• As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
• You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
• Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
• You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
• Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Qualifications:
Required:
• 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
• Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
• Familiarity with standard data science libraries and development tools
• Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
• Ability to collaborate within a team and communicate technical concepts clearly
• TS/SCI clearance with a polygraph
• Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience
Preferred:
• Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
• Experience with version control tools such as Git and collaborative development environments
• Knowledge of deep learning frameworks such as PyTorch or TensorFlow
• Knowledge of large language models (LLMs) and generative AI concepts
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Knowledge of containerization technologies such as Docker or Kubernetes
• Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
• Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments
Company:
EverWatch focuses on in-house investment management. Founded in 1999, the company is headquartered in West Palm Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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