Senior AI Platform Developer

OmegaHires • Herndon, VA

18h • Onsite

About The Position

We are seeking a Senior AI Platform Developer to help design, build, and scale advanced AI/ML solutions within a modern engineering environment. This role requires strong hands-on development skills combined with a solid understanding of machine learning systems deployed at scale.

Requirements

• Programming: Strong proficiency in Python; experience with Java, C++, or R is a plus.
• Machine Learning & Deep Learning: Solid understanding of supervised, unsupervised, and reinforcement learning, along with neural network architectures (e.g. CNNs, RNNs).
• AI/ML Frameworks: Hands-on experience with frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn.
• Data Engineering & Analysis: Experience with data ingestion, preprocessing, feature engineering, and working with SQL and NoSQL databases.
• Big Data Technologies: Familiarity with distributed data processing tools such as Apache Spark and search/analytics platforms.
• Mathematics & Statistics: Strong foundation in linear algebra, probability, statistics, and optimization techniques.
• Natural Language Processing (NLP): Experience with NLP concepts and libraries such as spaCy, NLTK, or Transformer-based models.
• Cloud & MLOps: Exposure to cloud platforms (AWS, Azure, or GCP) and MLOps practices including CI/CD for ML, model versioning, and monitoring.

Nice To Haves

• Experience building reusable AI platforms or shared ML services.
• Exposure to large-scale, production-grade ML systems.
• Familiarity with model governance, performance tracking, and optimization techniques.

Responsibilities

• Design, develop, and optimize AI/ML models and platform components for production use.
• Build scalable data pipelines and model workflows supporting training, evaluation, and deployment.
• Collaborate with cross-functional engineering and data teams to integrate AI capabilities into broader systems.
• Contribute to model performance optimization, reliability, and maintainability.
• Support deployment, monitoring, and lifecycle management of AI models in cloud environments.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed