Machine Learning Engineer

ML

Data Science

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.

• 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

• 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, Tensor Flow)
• 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

• 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

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.