Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Senior AI/ML Engineer at Handoff focusing on machine learning solutions for construction tech. Leveraging advanced techniques to solve real-world business problems and improve product offerings.
Responsibilities
- Apply traditional and modern ML techniques to build solutions that address key business challenges, such as enhancing estimate accuracy or streamlining AI agent features.
- Utilize our extensive blueprint dataset to explore and develop innovative computer vision solutions, driving unique value in our product offerings.
- Identify and implement the most effective ML tools and approaches, ensuring alignment with both immediate project goals and broader business needs.
- Establish evaluation frameworks to measure and improve the effectiveness of deployed models, iterating based on results to achieve reliable outcomes.
- Work closely with engineering, product, and other stakeholders to integrate ML solutions seamlessly into production, ensuring scalability, reliability, and user-centric design.
- Keep abreast of advancements in both computer vision and machine learning research, adopting promising methods to enhance our capabilities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in machine learning, with a proven ability to apply techniques across domains like NLP, computer vision, and predictive analytics.
- Proficiency in foundational ML tools: **Pandas**, **NumPy**, **OpenCV**, and **scikit-learn**.
- Experience with deep learning frameworks such as **TensorFlow **or **PyTorch**.
- Familiarity with working on computer vision tasks, such as image recognition, object detection, and processing large datasets like blueprints (e.g.** YOLOv8**, **Detectron**, and others).
- Hands-on experience with data engineering tools (e.g., SQL, Apache Airflow) for building pipelines.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying ML solutions.
- A team player who communicates effectively with cross-functional teams to ensure alignment and success in delivering impactful solutions.
- Strong analytical skills and the ability to work effectively with proprietary datasets to unlock innovative solutions.
- Proficiency in English, both written and verbal.
Benefits
- Competitive salary in USD
- Attractive stock options
- Unlimited PTO
- Relocation Allowance
- We’ll set you up with all the equipment you need - and you can choose the laptop!
- Get ready for regular team offsites around the world. Our 2024 offsites were in Poland, Mexico and Florida.
Job title
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Degree requirement
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