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AI/ML Engineer
Posted 9 days agoViewed
🏢 Company: Weekday👥 1-10💰 over 3 years agoE-CommerceFashion
Requirements:
- Strong proficiency in Python or R and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Experience with cloud platforms (AWS, Azure, GCP) and deploying models using tools like Docker and Kubernetes.
- Proficiency in data preprocessing, feature engineering, and working with large datasets.
- Knowledge of MLOps practices and tools for model monitoring and versioning.
- Familiarity with NLP, computer vision, or time-series analysis is a plus.
- Strong problem-solving skills, attention to detail, and the ability to work in dynamic, agile environments.
- Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
Responsibilities:
- Develop, train, and optimize machine learning models using tools like TensorFlow, PyTorch, and scikit-learn.
- Design and deploy scalable AI/ML solutions on cloud platforms such as AWS, Azure, or GCP.
- Preprocess and analyze large datasets to extract valuable insights and prepare data for model training.
- Implement and maintain pipelines for continuous model training, testing, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI/ML solutions into products.
- Monitor the performance of AI/ML systems in production and optimize them for scalability and efficiency.
- Stay updated with the latest advancements in AI and ML, applying cutting-edge techniques to real-world problems.
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