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Mid LevelFull-timePythonAWSGCPAzureMachine LearningPyTorchGitAIML
Salary Range
$71,400 - $96,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an ML Deployment Engineer to join Prior Labs, a world-leading organization in structured data ML. This role focuses on delivering transformative solutions that redefine how organizations harness data, working directly with strategic partners.
Key Responsibilities
- →Work hands-on with clients to deploy models, ensuring they achieve tangible business outcomes
- →Design and implement seamless integrations with platforms like Databricks, Snowflake, and complex enterprise ecosystems
- →Customize and optimize models for diverse use cases, balancing performance, scalability, and business needs
- →Gather insights from customer deployments to inform and influence product development
- →Partner with ML researchers, product managers, and engineers to translate research into scalable solutions
Requirements
- ✓Strong engineering fundamentals with expert-level Python skills
- ✓Hands-on experience with ML frameworks, particularly PyTorch and Scikit-learn
- ✓Proven track record of deploying ML systems in production environments
- ✓Experience with Databricks, Snowflake, or other enterprise data platforms
- ✓Strategic problem-solving mindset with a strong focus on customer outcomes
- ✓Commitment to writing clean, maintainable, and well-documented code
Benefits
- ★Competitive compensation package with meaningful equity
- ★30 days of paid vacation + public holidays
- ★Comprehensive benefits including healthcare, transportation, and fitness
