Job Title:Senior Deep Learning and Machine Learning Engineer  
Key Responsibilities:

• Design, train, and optimize deep learning models for various applications such as computer vision, natural language processing, and recommendation systems.  
• Develop scalable and efficient pipelines for data preprocessing, model training, and deployment.  
• Collaborate with cross-functional teams to integrate deep learning solutions into products and services.  
• Conduct research to stay at the forefront of advancements in deep learning and AI technologies.  
• Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.  
• Ensure the robustness, scalability, and reliability of deployed models in production environments.  

Requirements:

• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.  
• Proficiency in programming languages like Python and familiarity with libraries like NumPy and Pandas.  
• Expertise in neural network architectures, including CNNs, RNNs, and transformers.  
• Solid understanding of distributed computing and cloud platforms (e.g., AWS, GCP, Azure).  
• Proven track record of deploying deep learning models in production.  
• Excellent problem-solving skills and the ability to work collaboratively in a team.