Applied Machine Learning Engineer
Tasks
- Collaborate with teams to deliver features and products
- Deploy and support production ML solutions
- Develop proof of concept infrastructure and prototypes
- Evaluate AI ML technologies for production use
- Execute AI ML experiments
- Maintain continuous learning for evolving AI ML systems
- Present results to stakeholders
Perks/Benefits
- 401k plan
- Education assistance
- Flexible work schedules
- Health care and wellness plans
- Paid Holidays
- Professional growth and development programs
- Relocation assistance
- Sick time
- Telework options
- Vacation
Skills/Tech-stack
A3C | Apache Kafka | C plus plus | C# | CUDA | Cloud Integration | Cypher | Data Engineering | Data Structures | Deep Q-Learning | DevOps | Development Lifecycle | Docker | Enterprise Architecture | GPU | Graph Neural Networks | Graph theory | High Performance | High-Performance Computing | JAX | Kubernetes | MLOps | Machine Learning | Machine Learning Development Lifecycle | Machine learning development | Neural Networks | NoSQL | PPO | Pandas | Performance Computing | Policy Optimization | Proximal Policy Optimization | PyTorch | Python | Q-learning | R | Reinforcement Learning | SQL | Streaming Data | TPU | Unix/Linux
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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