Job Description

AI/ML Engineer Job Details

Job Information: AI/ML Engineer

Company

Rackner

Job Details

Key Responsibilities

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

Required Qualifications

Proficiency in model architectures: CNNs, RNNs, Transformers, LLMs, and Object Detection models (e.g., YOLO, Faster R-CNN).
Hands-on experience with PyTorch and/or TensorFlow.
Experience with Hugging Face, Ollama, or similar frameworks.
Knowledge of data engineering concepts: Feature engineering, dataset preparation, and data versioning tools (e.g., lakeFS).
Familiarity with metadata standards such as STAC.
Ability to create clear AI/ML training runbooks.
Strong problem-solving skills and collaborative mindset.

Preferred Qualifications

Salary & Benefits

AI/ML Engineer (Active TS/SCI )

Job Description