Machine Learning Engineer Job at Mira Ai LLC in Berkeley
Mira Ai LLC, Berkeley, CA, United States
Overview We are looking for a skilled Machine Learning Engineer to join our AI Development team. In this role, you will design, build, and deploy machine learning models that power our AI products and services.
Key Responsibilities Design and implement machine learning models for various applications
Develop data processing pipelines and feature engineering systems
Optimize models for performance, accuracy, and computational efficiency
Collaborate with data scientists and software engineers to integrate ML models into production systems
Monitor and maintain deployed models, addressing issues and implementing improvements
Research and implement new ML techniques and approaches
Document model architectures, experiments, and results
Requirements M.S. or Ph.D. in Computer Science, Machine Learning, or related field
3+ years of experience building and deploying machine learning models
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow)
Experience with data processing, feature engineering, and model evaluation
Understanding of ML fundamentals, including supervised and unsupervised learning techniques
Knowledge of software engineering best practices (version control, testing, CI/CD)
Familiarity with cloud platforms and ML infrastructure
Preferred Qualifications Experience with deep learning and neural network architectures
Knowledge of MLOps tools and practices
Familiarity with distributed computing and large-scale data processing
Experience with NLP, computer vision, or reinforcement learning
Background in deploying models in production environments
Contributions to open-source ML projects or research publications
How to Apply If you're excited about this opportunity and believe you're a good fit, we'd love to hear from you. Please submit your application through our online portal or contact us directly.
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Key Responsibilities Design and implement machine learning models for various applications
Develop data processing pipelines and feature engineering systems
Optimize models for performance, accuracy, and computational efficiency
Collaborate with data scientists and software engineers to integrate ML models into production systems
Monitor and maintain deployed models, addressing issues and implementing improvements
Research and implement new ML techniques and approaches
Document model architectures, experiments, and results
Requirements M.S. or Ph.D. in Computer Science, Machine Learning, or related field
3+ years of experience building and deploying machine learning models
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow)
Experience with data processing, feature engineering, and model evaluation
Understanding of ML fundamentals, including supervised and unsupervised learning techniques
Knowledge of software engineering best practices (version control, testing, CI/CD)
Familiarity with cloud platforms and ML infrastructure
Preferred Qualifications Experience with deep learning and neural network architectures
Knowledge of MLOps tools and practices
Familiarity with distributed computing and large-scale data processing
Experience with NLP, computer vision, or reinforcement learning
Background in deploying models in production environments
Contributions to open-source ML projects or research publications
How to Apply If you're excited about this opportunity and believe you're a good fit, we'd love to hear from you. Please submit your application through our online portal or contact us directly.
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