Senior Machine Learning Engineer - Data Science

As a Machine Learning Engineer/Data Scientist, you will be responsible for developing, coding, and deploying advanced ML models with expertise in computer vision, object detection, object tracking, and NLP. Your primary responsibilities will include designing, testing, and deploying machine learning pipelines, developing computer vision algorithms using tools like Ultralytics YOLO and OpenCV, as well as building and optimizing NLP models for text analysis and sentiment analysis. You will also be utilizing Google Cloud services for model development and deployment, writing clean and efficient code, collaborating with cross-functional teams, and staying updated with the latest advancements in machine learning and AI. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with at least 5 years of professional experience in data science and machine learning. Advanced proficiency in Python, TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO is required, as well as hands-on experience in developing computer vision models and NLP solutions. Familiarity with cloud platforms, strong analytical skills, and excellent communication abilities are essential for this role. Preferred skills include experience with MLOps practices, CI/CD pipelines, big data technologies, distributed computing frameworks, contributions to open-source projects, and expertise in model interpretability, monitoring, and performance tuning in production environments. If you are passionate about machine learning, enjoy solving complex business challenges, and have a knack for developing cutting-edge models, this role is perfect for you.,