Roles:
Must-have skills:
Nice-to-have skills:
Considering candidates from:
Latin America, Canada and United States
Latin America, Canada and United States
Work arrangement: Remote
Industry: Software Development
Language: English
Level: Senior
Required experience: 5+ years
Size: 51 - 200 employees
Company
Sorcero provides a smart enterprise platform that builds a deep language intelligence operating system for technical domains, including Insurance, Financial Services, and Life Sciences. Their platform, built by the former leadership of the MIT Media Lab, harnesses AI and Natural Language Understanding to deliver new capabilities to augment human performance. Sorcero's NLU platform is a pre-built “no-code” drag and drop solution to reduce the deployment time of applications from months to days.
Description
Now Sorcero is looking for an MLOps Engineer to work with the AI team to facilitate model development and deployment.
Tasks:
Tasks:
- Build and maintain our ML development stack, which is hosted on GCP
- Participate in maintaining our MLOps best practices and tool selection
Must-have:
- 10+ years software engineering experience
- 3+ years MLOps experience
- Solid software engineering skills with proficiency in Python
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, SciKit-Learn, Keras, Spark MLlib, XGBoost, LightGBM etc.
- Understanding of the main elements of the ML lifecycle, including data connection, ETLs, model training and deployment and the tools necessary to test and monitor models in productions
- Experience in monitoring and performance analysis of Machine Learning AI and GPU server platforms
- Being familiar with the GCP cloud environment
Nice-to-have:
- Being familiar with Machine Learning enablement tools such as experiment tracking systems, feature store and similar system
Benefits:
- Competitive compensation package, including equity in a fast growing startup
- Four week of PTO plus one additional week during the December Holiday season
- Company-provided laptop and hardware
- Being a part of a brilliant, fun and supportive team
Interview process:
- Intro call with Toughbyte
- Interview with VP ML
- Interview with one of the engineers
- Interview with one of NLP engineers
- Additional interview if needed