✨ About The Role
- The role involves being a subject matter expert in Machine Learning, leading initiatives for Data Science and ML projects, and mentoring junior engineers.
- Responsibilities include producing clean and well-structured code, mentoring junior engineers, improving foundational processes, and contributing to the hiring and interview process.
- The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related fields, with 5+ years of experience in building Machine Learning or AI systems.
- Preferred qualifications include experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow, as well as expertise in natural language processing, deep learning, recommendation systems, and other related technologies.
- The company offers a collaborative and supportive work environment, with a focus on career development and experimentation to achieve customer success.
âš¡ Requirements
- Experienced professional with 5+ years of building Machine Learning or AI systems, preferably with a background in Computer Science, Mathematics, or Statistics
- Strong analytical and problem-solving skills with a proven track record of deploying and managing machine learning models in the cloud
- Proficient in Python and familiar with Machine Learning software tools and libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, etc.
- Ability to mentor junior engineers, lead initiatives for Data Science and Machine Learning, and contribute to foundational processes and best practices
- Customer-driven mindset, high impact orientation, and a focus on team mentorship and sharing knowledge