Summary
CloudHire is seeking a highly skilled Machine Learning Engineer to join their team. As an ML Engineer, you will develop and implement machine learning solutions, collaborate with cross-functional teams, optimize algorithms, and monitor model performance. CloudHire offers a flexible work-life balance and benefits tailored to employees' countries.
Requirements
- 5+ years ML research or ML engineering at a venture-backed startup or top technology firm
- Embraces rapid prototyping with an emphasis on user feedback
- Autonomous and excited about taking ownership of major initiatives
- Extreme passion for learning, growth, and leadership
- Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred)
- Proven experience as a Machine Learning Engineer or similar role in developing and delivering machine learning solutions
- Strong proficiency in programming languages such as Python, R or Julia
- Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch or scikit-learn
- Deep understanding of various machine learning algorithms, statistical analysis, and data modeling techniques
- Solid knowledge of cloud platforms and distributed computing frameworks
- Familiarity with data visualization tools and techniques
- Excellent problem-solving and analytical skills
- Strong written and verbal communication abilities
- Ability to work independently and collaboratively in a remote, fast-paced environment
Responsibilities
- Develop and deploy machine learning models and algorithms to solve complex business problems
- Collaborate with cross-functional teams to define project goals, gather requirements, and translate them into technical specifications
- Explore and analyze large, complex datasets to identify patterns, trends, and insights
- Optimize machine learning models to improve accuracy, performance, and efficiency
- Monitor and evaluate the performance of deployed models, troubleshoot issues, and implement necessary refinements
- Stay updated with the latest advancements in machine learning and contribute to the continuous improvement of our ML infrastructure
- Maintain documentation for models, algorithms, processes, and findings
Benefits
- Flexible work-life balance
- Benefits tailored to employees' countries
