Machine Learning Engineer III, Monk
dayforcehcm
Job Description
- Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs.
- Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions
- Identify and solve key business problems with data-driven, actionable insights.
- Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions.
- Mentor and support junior team members, cultivating a culture of excellence and collaboration.
- Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback.
- Ensure long-term reliability and scalability through robust documentation and testing practices.
Tech Stack Utilized:
- Languages: Python, SQL
- Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn
- Tools: Jupyter, DBT, Docker
- Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub
Background and Skills:
- Required Skills
- 5+ years of experience in computer vision, data science or related fields, wit
a proven track record of delivering impactful results. - Strong foundation in machine learning, computer science, statistical modeling,
and data processing pipelines. - Proficiency in Python and SQL for data manipulation and model development.
- Solid experience deploying machine learning models into production
environments. - A proactive approach to aligning with business needs and driving team-wide
innovation. - Strong communication skills to explain technical concepts to non-technical
stakeholders. - Fluent in English, enabling effective collaboration across global teams.
Desired Background - Master’s or Ph.D. in Data Science, Computer Science, or a related field
- Experience in B2B SaaS, automotive technology, or AI-driven startups.
- Knowledge of working with distributed teams across time zones.
- A proactive mindset, with the ability to work autonomously in fast-paced
environments.