[Remote] AI/ML Engineer (Active TS/SCI )

Note: The job is a remote job and is open to candidates in USA. Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector. They are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems.

Responsibilities

• Design, develop, and implement machine learning and deep learning models
• Build and optimize model architectures including CNNs, RNNs, and transformer-based models
• Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
• Perform feature engineering and prepare high-quality datasets for training and evaluation
• Create and maintain AI/ML training runbooks and documentation
• Collaborate with data engineers and software teams to integrate models into production systems
• Ensure reproducibility through data versioning and metadata standards
• Continuously evaluate and improve model performance and scalability

Skills

• Strong proficiency in designing and implementing model architectures, including: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer-based architectures, Large Language Models (LLMs), Object Detection models (e.g., YOLO, Faster R-CNN)
• Hands-on experience with: PyTorch and/or TensorFlow, Hugging Face, Ollama, or similar frameworks
• Experience with data engineering concepts, including: Feature engineering and dataset preparation, Data versioning tools (e.g., lakeFS), Metadata standards such as STAC
• Ability to create clear and effective AI/ML training runbooks
• Strong problem-solving skills and ability to work in a collaborative environment
• Experience deploying models in cloud-native environments
• Familiarity with DevSecOps practices
• Experience working with large-scale or federal datasets
• Understanding of MLOps principles and pipelines

Benefits

• Weekly pay with full remote flexibility
• Professional growth investment, including paid certifications and training
• Comprehensive benefits package, including:
• Medical, dental, and vision coverage
• 401(k) with 100% company match up to 6%
• Paid time off (PTO)
• Life and disability insurance
• Home office equipment plan
• A supportive, inclusive team culture focused on collaboration, trust, and mission impact

Company Overview