Machine Learning Engineer - Computer Vision
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Design, develop, and deploy computer vision models for tasks such as object detection, object tracking, video segmentation, and facial recognition.
- check_circle Optimize and fine-tune deep learning algorithms for real-time performance.
- check_circle Work closely with the software engineers and product teams to identify opportunities for leveraging data.
- check_circle Collect, clean, and preprocess large datasets to prepare for model training and evaluation.
- check_circle Evaluate and optimize machine learning models for accuracy, performance, and scalability.
- check_circle Deploy models into production environments and monitor their performance to ensure reliability.
- check_circle Stay up-to-date with the latest advancements in computer vision and artificial intelligence.
- check_circle Collaborate with cross-functional teams to integrate machine learning solutions into business processes.
- check_circle Document processes, models, and implementations to ensure reproducibility and scalability.
Basic qualifications
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience in deep learning models, their training, and hyperparameter tuning using libraries such as TensorFlow, PyTorch, and Transformers or other Huggingface tools.
- Experience with data manipulation tools such as Pandas, NumPy, and SQL.
- Strong programming skills in Python and C++.
- Experience in MLOps principles and model deployment and instrumentation on cloud platforms such as AWS, Azure, or Google Cloud for model deployment and knowledge with efficient serving tools such as ONNX, triton, and vllm.
- Proficiency in working with image and video data, including preprocessing and augmentation techniques.
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning and deep learning.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with version control systems such as Git.
- Understanding software engineering best practices, including code review, testing, and documentation.
- Experience with Large Language Models (LLMs) is a great plus.
- Experience with data annotation tools and processes.
Benefits
- check_circle Competitive salary.
- check_circle Comprehensive health and wellness benefits.
- check_circle Professional development opportunities and continuous learning programs.
- check_circle Collaborative and inclusive work environment.
Tags & Focus Areas
Fulltime Ai Machine Learning Deep Learning Computer Vision