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We are seeking a highly skilled Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. It is important for you to possess a passion for reinforcement learning (RL) or neural network models, managing complex data sets, and data fusion methodologies
Job Responsibility:
Develop, train and deploy RL or GNN models to analyze and interpret complex data, enhancing predictive accuracy, and uncovering hidden patterns in large datasets, while ensuring compliance with operational specifications
Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness
Containerize decision-making algorithms and capabilities for on-edge deployment
Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements
Requirements:
US Citizenship, Permanent Resident (Green) Card
Active Secret clearance or the ability to obtain and maintain one
Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
2-5 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role using RL or neural networks
Comprehensive knowledge of numerical methods, probability, and statistics
Experience with Python, Rust, and with data science tools like Numpy and Pandas
Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras
Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings
Experience in data manipulation, analysis, and visualization
Proficiency in conveying intricate data in a clear and practical manner
What we offer:
Equity in the form of options
Flexible Time-Off policy and company holidays
Cost-effective health care, dental, and vision with company contributions