Kalibri is looking to enhance the scalability and efficiency of data science solutions for their products by productionizing machine learning applications and systems at scale.
Requirements
- 3+ years experience designing, building, and maintaining ML systems leveraging Data Science packages such as TensorFlow, scikit based packages, PyTorch etc, in a cloud based environment
- 2+ years of experience designing and implementing scalable systems and applications on cloud-based technologies
- Expert SQL and Python programming in a production context
- Experience owning a project across the full lifecycle to include design, development, deployment, and operations
- Strong background in modern data warehouse technologies such as Snowflake, Databricks, BigQuery
- SQL expertise in a modern data warehouse following an SQL-based ELT paradigm.
- Demonstrated ability to prepare for model deployment and integration into data pipelines with reactive, event-based systems
Responsibilities
- Tune, operationalize, and deploy high quality AI/ML algorithms into Kalibri’s data platform
- Build systems that setup, generate, and organize training data for online and offline models.
- Design, develop, and deploy models that integrate within Kalibri’s ecosystem
- Work closely with data scientists to standardize, automate, and operate ML systems.
- Coordinate with development and product functional teams to implement models and monitor outcomes
- Maintain and expand existing AWS/Snowflake infrastructure with industry best practices, considering scalability, reliability, quality, and cost
- Develop processes and tools to continuously monitor and analyze model performance and accuracy
Other
- Passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo.
- Excellent communicator and is comfortable describing solutions and findings to key stakeholders.
- Energetic team member with a desire to explore, innovate and drive industry disruptive change through next level insights of data analytics built on machine learning systems, modern deep learning techniques, and big data analytics.
- Fully remote work, with a thriving company culture
- Bachelor’s Degree in Computer Science, Information Systems, or a related technical field, or equivalent work experience.
