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Machine Learning Engineer
2 weeks ago
5 years of engineering experience (master's degree in computer science, Engineering, or a related technical field is a plus)
Programming Skills
Expert knowledge in Python and SQL
Comfortable with libraries like pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Keras, hugging face, LangChain
Strong track record of implementing ML models, deploying these, and maintaining them in production environments
Strong understanding of fundamental computer science and statistics/ML concepts
Proficient with data structures, algorithms, automated testing, object-oriented programming
Proficient with linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
Familiar with performance complexity and implications of computer architecture on software performance
Model Deployment and Production environment
Experience deploying genAI applications is a plus.
Experience using, designing and developing microservices and associated APIs
Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (Docker,
Kubernetes, Containers, Git, Terraform)
Experience with cloud platforms (e.g. AWS, Azure) and associated ML products, e.g. Amazon SageMaker
Education: Bachelors Degree
Additional client information:
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