Machine Learning Engineer

• Develop, test, and deploy Machine Learning models and algorithms that solve complex business problems.
  
• Collaborate with Data Scientists, AI Developers, and Software Engineers to design, develop, and deploy end-to-end Machine Learning systems.
  
• Build scalable and efficient Machine Learning pipelines using distributed computing and Big Data technologies.
  
• Optimize Machine Learning models and algorithms for performance, accuracy, and reliability.
  
• Evaluate and implement state-of-the-art Machine Learning and Deep Learning algorithms and frameworks.
  
• Develop and maintain documentation for Machine Learning models and algorithms.
  
• Identify and solve technical and operational issues related to Machine Learning models in a production environment.
  
• Stay up-to-date with the latest Machine Learning and Deep Learning research and developments.
  

Requirements

• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related field.
  
• 3+ years of experience in Machine Learning development and deployment.
  
• Strong proficiency in programming languages such as Python, Java, or C++.
  
• Experience with Machine Learning frameworks like TensorFlow, Keras, or PyTorch.
  
• Experience with Big Data technologies like Hadoop, Spark, or Hive.
  
• Strong understanding of Mathematics, Statistics, and Probability theory.
  
• Strong problem-solving and analytical skills.
  
• Excellent communication and collaboration skills.
  

• PhD in Computer Science, Mathematics, Statistics, or related field.
  
• Experience with Natural Language Processing (NLP) or Computer Vision (CV).
  
• Experience with Cloud-based Machine Learning services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform.
  
• Experience with containerization technologies like Docker and Kubernetes.