This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Essential Responsibilities:
- Define and drive the strategic vision for machine learning initiatives across multiple teams or projects.
- Lead the development and optimization of state-of-the-art machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
- Mentor and guide junior engineers and data scientists.
- Publish research findings and contribute to industry discussions.
- Lead the development of new methodologies and frameworks for ML applications.
Minimum Qualifications:
- Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Proven track record of leading the design, implementation, and deployment of machine learning models.
Our Benefits:
Any general requests for consideration of your skills, please