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Machine Learning Operations Engineer

  • Full Time
  • Anywhere (Remote)
  • Posted on February 18, 2025
DOTsfty

DOTsfty

Machine Learning

About DOTsfty

At DOTsfty, we’re not just changing the game; we’re creating a new playbook in public road safety. With our industry-first, device-agnostic vision AI for dashcams, we monitor 10,000+ drivers and help companies reduce accident costs by over 50%. Our services are currently available in the USA and Japan markets.

We are a VC-backed, seed-stage company growing rapidly. Our investors include leading East Asia-based venture capital firms and a founding member of OpenAI as an angel investor. Join us in revolutionizing road safety through cutting-edge AI technology!

About the Role

We are seeking a talented Machine Learning Operations Engineer (MLOps) to join our team. In this role, you will be responsible for driving the operations and management of our machine learning models, including YOLO-based object detection and various Vision-Language Models (VLMs) such as Qwen and Gemini. You will play a critical role in fine-tuning models, cleaning and annotating data, and testing new models to ensure optimal performance.

Key Responsibilities

Manage and operationalize machine learning models, including YOLO-based object detection and Vision-Language Models (VLMs).

Fine-tune models to improve accuracy and efficiency.

Clean, annotate, and preprocess data for model training and evaluation.

Test and validate new models to ensure they meet performance benchmarks.

Collaborate with cross-functional teams to deploy models into production environments.

Monitor and maintain model performance in real-world applications.

Stay up-to-date with the latest advancements in MLops, computer vision, and AI technologies.

About You

Education: Master’s degree in Computer Science or a related field from a top university.

Experience: Proven experience in MLops, including managing and deploying machine learning models.

Technical Skills:

Strong proficiency in Python programming.

Hands-on experience with object detection models (e.g., YOLO) and Vision-Language Models (e.g., Qwen, Gemini).

Familiarity with data cleaning, annotation, and preprocessing techniques.

Experience with model fine-tuning and performance optimization.

Soft Skills:

Strong problem-solving abilities and attention to detail.

Excellent communication and collaboration skills.

Ability to thrive in a fast-paced, startup environment.

Why Join DOTsfty?

Be part of a mission-driven company revolutionizing road safety with cutting-edge AI.

Work with a talented, passionate, and collaborative team.

Enjoy the opportunity to grow and make a significant impact in a fast-growing startup.

To apply for this job please visit careers.filestage.io.

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