Machine Learning Engineer

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Three years experience in the ML/data science lifecycle with a focus on computer vision Two years of experience with a cloud provider (AWS, GCP, Azure) Experience with semantic segmentation in a real business use case Experience in statistical data analysis and machine learning techniques Familiar with in-depth analysis and evaluation of machine learning models Background with analytical tools such as Jupyter, Pandas, NumPy, Matplotlib Strong understanding of the end-to-end machine learning process Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams Strong programming skills in Python with 5+ years of demonstrated ability in using Python for machine learning modeling Hands-on experience with fine-tuning deep learning models Expertise in using machine learning toolkits such as PyTorch, TensorFlow

Creating ETL processes with data to assist machine learning Cleaning and feature engineering of machine learning datasets Uncovering insights into data through machine learning processes Training deep learning models (NLP, LLMs, CNN) Deep learning experimentation Working with annotation team to improve machine learning processes Assisting in making machine learning more transparent across departments Collaborating with ML and software implementation teams to productize models