We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a pivotal role in developing cutting-edge machine learning solutions that will shape the future of our products and services. You will work closely with a team of data scientists, software engineers, and domain experts to create and implement machine learning models that solve complex problems and deliver actionable insights.

Key Responsibilities:

• Data Preprocessing: Collect, clean, and preprocess large datasets to ensure they are suitable for training and evaluation of machine learning models.
• Deployment and Integration: Implement models into production systems and work with software engineers to ensure seamless integration.
• Monitoring and Maintenance: Continuously monitor model performance, troubleshoot issues, and make necessary updates to ensure optimal performance and reliability.
• Inference: Implement and optimize machine learning models for real-time or batch inference, ensuring efficient and accurate predictions in production environments.
  
  

Requirements:

• Bachelor's in Computer Science or a related field.
• At least 3 years experience in developing and deploying machine learning models in a production environment.
• Proficiency in Python
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
• Familiarity with PyTorch or TensorFlow.
• Excellent problem-solving skills and the ability to work independently and in a team.
• Advantage: Kubeflow, Spark.