Machine Learning Engineer

• Design and implement machine learning models using Python and Spark to solve complex problems.
• Develop and maintain data pipelines using Airflow to ensure efficient data processing.
• Utilize MLflow for model tracking and management, ensuring seamless deployment in production environments.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
• Optimize algorithms and workflows for performance and scalability on AWS and GCP platforms.
• Experiment with and implement state-of-the-art techniques in Transformers and LLMs to enhance product offerings.

• 3-8 years of experience in machine learning engineering or related fields.
• Proficiency in Python and experience with data processing frameworks like Spark.
• Hands-on experience with MLOps tools such as MLflow and Weights & Biases.
• Familiarity with cloud platforms, specifically AWS and GCP.
• Strong understanding of CUDA for optimizing machine learning workflows.

Preferred

• Experience in AI, Edtech, or security industries.
• Knowledge of advanced machine learning techniques and architectures.
• Familiarity with data visualization tools and best practices.

The salary range for this position is $150K-$250K, complemented by competitive early-stage equity. This is an exciting opportunity to join a rapidly growing company and contribute to groundbreaking technology., + $165,000-195,000 per year

We're representing a cutting-edge firm specializing in AI detection technology. This company is at the forefront of innovation, leveraging advanced machine learning techniques to enhance security and educational tools. With a small, dynamic team, they are poised to make a significant impact in their industry., © 2026 Careerjet All rights reserved