AI Platform Developer (Mid-Level)

Job Description

Position Title: AI Platform Developer (Mid-Level)

Location: Herndon, VA (Hybrid – 4-5 days onsite)

Duration: Contract to Hire (Target Conversion: November 2026)

Citizenship Requirement: Must be a US Citizen (Dual citizenship accepted except for sanctioned countries)

Position Overview:

We are seeking a Mid-Level AI Platform Developer to support the design, development, and deployment of advanced AI/ML solutions. This individual will play a key role in building scalable AI platforms, collaborating with cross-functional teams, and delivering high-quality machine learning models and data-driven applications. The ideal candidate will have a strong technical foundation in programming, machine learning, and cloud-based deployment.

Key Responsibilities:

Design, develop, and deploy machine learning and deep learning models

Build and maintain scalable AI platforms and data pipelines

Perform data acquisition, preprocessing, and feature engineering

Collaborate with cross-functional teams including engineering, operations, and business stakeholders

Optimize and monitor model performance in production environments

Support MLOps processes including model deployment, versioning, and lifecycle management

Work with large datasets using big data technologies

Required Qualifications:

5–7 years of experience in AI/ML development or related field

Strong programming skills in Python (required); experience with R, Java, or C is a plus

Deep understanding of machine learning concepts (supervised, unsupervised, reinforcement learning)

Experience with neural networks including CNNs and RNNs

Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn

Strong data analysis skills including data cleaning, preprocessing, and feature engineering

Experience with SQL and/or NoSQL databases

Familiarity with big data tools such as Apache Spark and OpenSearch

Solid foundation in mathematics and statistics (linear algebra, calculus, probability)Preferred Qualifications:

Experience with Natural Language Processing (NLP) tools such as NLTK, spaCy, or Hugging Face Transformers

Experience working in cloud environments (AWS, Azure, or GCP)

Knowledge of MLOps principles and tools for model deployment and monitoringAdditional Requirements:

Must be willing to work onsite 4–5 days per week in Herndon, VA

Must be open to converting to a full-time employee in November 2026#ZR

Full-time

Hybrid remote