Junior Artificial Intelligence (AI) / Machine Learning (ML) Engineer

Location: Remote
Work Type: Full-Time Internship

Description

We are seeking a highly motivated Junior AI/ML Engineer to join our growing team. In this role, you will contribute to the design, development, and deployment of machine learning models and AI solutions that support our clients’ digital transformation and automation initiatives. This is an excellent opportunity for early-career professionals eager to learn, grow, and make an impact in a collaborative, mission-driven environment.

Responsibilities

• Assist in collecting, cleaning, and preprocessing structured and unstructured data for use in machine learning models.
• Support the design, training, testing, and deployment of machine learning and deep learning models for real-world applications.
• Collaborate with senior engineers and cross-functional teams to identify, extract, and engineer relevant features for model performance.
• Analyze and evaluate model performance using appropriate metrics; help optimize models for accuracy and efficiency.
• Contribute to the integration and deployment of ML models into production environments using APIs or deployment pipelines.
• Stay current with the latest AI/ML trends, tools, and best practices; experiment with innovative techniques under guidance.
• Document datasets, models, experiments, and code to ensure reproducibility and knowledge sharing.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Requirements

• Active student working towards a Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Strong understanding of linear algebra, probability, statistics, and optimization techniques.
• Understanding of data manipulation tools (e.g., pandas, NumPy) and data visualization libraries (e.g., Matplotlib, Seaborn).
• Knowledge of version control systems (e.g., Git) for collaborative development.
• Analytical mindset and a passion for solving complex problems.
• Excellent communication and teamwork skills.

Preferred Qualifications

• Understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Familiarity with Agile methodologies and DevOps practices.
• Exposure to natural language processing (NLP), computer vision, or cybersecurity applications is a plus.
• Internship or project experience in AI/ML, including participation in Kaggle competitions or open-source contributions.

Why Join PingWind?

• Work on impactful projects that support national security and digital transformation for federal clients.
• Collaborate with a diverse, mission-driven team that values innovation and professional growth.
• Hybrid work flexibility with offices in Annandale, VA and Washington, DC, plus a distributed team across 37 states.
• Opportunities for continuous learning and investing in our people through mentorship and challenging assignments.

About PingWind

PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cyber security, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is a VA CVE certified Service-Disabled Veteran-Owned Small Business (SDVOSB)\ Certified with offices in Washington DC and Northern Virginia. www.PingWind.com

Our benefits include:

• Paid Federal Holidays
• Robust Health & Dental Insurance Options
• 401k with matching
• Paid vacation and sick leave
• Continuing education assistance
• Short Term / Long Term Disability & Life Insurance
• Employee Assistance Program through Sun Life Financial EAP Guidance Resources

Veterans are encouraged to apply

PingWind, Inc. does not discriminate in employment opportunities, terms and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law