We are an emerging startup in the dynamic field of cloud professional services. As we embark on our journey through the early growth stages, we are looking for driven individuals who can thrive in a fast-paced, entrepreneurial environment. As we pave the way for advancements in synthetic data generation, we seek a dedicated Machine Learning Engineer with a specialty in computer vision to join our dynamic team.
Responsibilities:
Synthetic Data Generation: Develop and implement algorithms for generating synthetic data to enhance computer vision models.
Algorithm Development: Design and optimize computer vision and machine learning algorithms tailored to specific project requirements.
Collaboration: Work closely with data scientists, software engineers, and product teams to develop and deploy synthetic data solutions.
Research: Stay updated with the latest developments in computer vision and synthetic data generation techniques.
Model Evaluation: Test and evaluate the performance of models, ensuring they meet the required standards before deployment.
Optimization: Work on improving the efficiency, scalability, and stability of computer vision systems.
Documentation: Clearly document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
Qualifications:
Bachelorâs or Masterâs degree in Computer Science, Engineering, or a related field, with a focus on Machine Learning or Computer Vision.
Proven experience in developing machine learning models for computer vision tasks, specifically in synthetic data generation.
Strong proficiency in Python and familiarity with machine learning libraries like TensorFlow, PyTorch, and OpenCV.
Experience with GPU programming and optimization.
Excellent problem-solving abilities and attention to detail.
Mandatory: US Citizenship.
Preferred: Existing security clearance or the ability to obtain one.
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