Job_Summary:
CompanyCam is a photo documentation and productivity app for contractors in various industries. They are seeking a Machine Learning Engineer to design and implement scalable ML solutions, collaborating with multiple teams to enhance product functionality and decision-making processes.
Responsibilities:
• Design, build, and deploy smart, scalable ML solutions that enhance our product and power better decision-making.
• Own the full pipeline from data prep and model training to evaluate and deployment.
• Collaborate closely with a variety of teams including engineers, infrastructure, data scientists, and business stakeholders to ensure AI/ML solutions are thoughtfully integrated into our tech ecosystem.
• Help ensure models are reliable, efficient, and ethically sound, while maintaining documentation and performance monitoring.
• Serve as the go-to resource for stakeholders, helping them understand what's possible with AI/ML at CompanyCam and how it can support our broader goals.
Qualifications:
-Required:
• 1-5 years of experience in machine learning, data science, backend engineering adjacent to machine learning, or a related field
• Strong coding skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Proficient in SQL, including joins, subqueries, window functions, and CTEs
• Skilled in data cleaning, transformation, and feature engineering
• Strong analytical and problem-solving mindset with a focus on data-driven decisions
• Strong collaboration and communication skills (clearly being able to explain technical concepts to non-technical stakeholders), with openness to feedback and diverse perspectives
• You live and work permanently in the U.S. (We're not set up to hire outside the U.S.)
-Preferred:
• Google's Professional Machine Learning Engineer and/or Microsoft's Azure Data Scientist certificate
• Experience with DE tooling such as DVC, 5tran, Snowflake, etc.
• Familiarity with Rails, React, and/or React Native, or AWS
Company:
CompanyCam instantly organizes job photos for contractors with location and time-stamps.
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