ML Engineer

Responsibilities

• Develop and implement machine learning models that can improve business processes and outcomes, including those related to anomaly detection and time series forecasting.
• Participate in the design, development, testing, and deployment of machine learning algorithms and models.
• Responsible for the full development and production ML stack.

Requirements

• Bachelor’s degree in computer science, data science or a related field.
• 5+ years of experience in implementing, deploying and maintaining ML models.
• Strong hands on experience in machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, anomaly detection, and time series forecasting.
• Strong programming skills in languages such as Python, Java, or R, with experience in libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with data analysis and visualization tools, such as Pandas, NumPy, and Matplotlib, with experience in time series analysis and visualization.
• Excellent problem-solving and analytical skills, as well as attention to detail.
• Good communication and collaboration skills, and the ability to work in a team environment.