Reqroute, Inc ยท 6 days ago
Machine Learning Engineer
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Insider Connection @Reqroute, Inc
Responsibilities
Expert experience in Python and SQL
Comfortable with libraries like pandas, numpy, scikit-learn, tensorflow, pytorch, keras, huggingface, langchain
Strong track record of implementing ML models, deploying these, and maintaining them in production environments
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
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
Qualification
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Required
Expert experience in Python and SQL
Comfortable with libraries like pandas, numpy, scikit-learn, tensorflow, pytorch, keras, huggingface, 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
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
Preferred
Experience deploying genAI applications is a plus