Lead the development, deployment, and optimization of machine learning models and AI solutions to drive business insights and improve product performance.
Requirements
- Experience with deep learning, NLP, and reinforcement learning.
- Proficiency in Python, including software design, development, and debugging.
- Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with big data tools (Hadoop, Spark, etc.) and cloud platforms (AWS, Azure, Google Cloud).
- In depth knowledge of cloud platforms (e.g., AWS, Azure) and experience with distributed systems and architecture.
Responsibilities
- Design, develop, and deploy AI/ML models and algorithms.
- Perform data processing, feature engineering, and model training.
- Continuously monitor and improve performance of deployed models.
- Provide mentorship and leadership to other data scientists and DevOps members.
Other
- Provide mentorship and leadership to other data scientists and DevOps members.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Ability to work efficiently and effectively in office and arena environment that can be exciting, loud and distracting
- This is an onsite role; flexibility to work a minority of time remotely.
- Ability to work extended hours including late nights, holidays, and weekends as needed
