AI Platform Developer – Mid Level

OmegaHires • Herndon, VA

1d • Onsite

About The Position

We are seeking a Mid-Level AI Platform Developer to design, build, and support scalable AI/ML solutions within a modern engineering environment. The role focuses on developing production-ready machine learning components, data pipelines, and model deployment workflows.

Requirements

• Strong proficiency in Python.
• Working knowledge of Java, C++, or R is a plus.
• Experience writing clean, maintainable, and production-ready code.
• Solid understanding of supervised, unsupervised, and reinforcement learning.
• Hands-on experience with neural network architectures such as CNNs and RNNs.
• Practical experience with TensorFlow, PyTorch, Keras, and scikit-learn.
• Ability to select and apply appropriate models and techniques for real-world use cases.
• Experience with data ingestion, preprocessing, and feature engineering.
• Working knowledge of SQL and NoSQL databases.
• Familiarity with distributed data processing tools such as Apache Spark and search/analytics platforms.
• Strong foundation in linear algebra, probability, statistics, and optimization.
• Experience with NLP concepts and libraries such as spaCy, NLTK, or Transformer-based frameworks.
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Understanding of MLOps practices, including model versioning, CI/CD for ML, deployment, and monitoring.

Nice To Haves

• Experience contributing to shared AI platforms or reusable ML services.
• Exposure to large-scale or high-availability ML systems.
• Familiarity with model governance, performance tracking, and optimization.

Responsibilities

• Develop and enhance AI/ML models and platform components for production use.
• Build and maintain data pipelines supporting model training, evaluation, and inference.
• Collaborate with engineering and data teams to integrate AI capabilities into larger systems.
• Optimize model performance, scalability, and reliability.
• Support deployment, monitoring, and lifecycle management of ML models in cloud environments.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed