Software Engineer II - AI
Skills
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Proficiency in Python and at least one other programming language (R, Java, Scala)
- Knowledge of ML Ops tools and practices including ML flow, Kubeflow, DVC
- Experience with containerization (Docker, Kubernetes) and microservices architecture
- Familiarity with data engineering tools like Apache Spark, Kafka, Airflow
- Understanding of machine learning algorithms and statistical methods
- Experience with cloud platforms (AWS, GCP, Azure) and associated ML services
- Knowledge of version control (Git) and CI/CD pipelines
Responsibilities
- Design and implement AI tooling and infrastructure to support company-wide AI adoption
- Develop custom machine learning models tailored to specific business use cases
- Establish AI/ML best practices, standards, and governance frameworks
- Collaborate with cross-functional teams to identify AI opportunities and requirements
- Lead the evaluation, selection, and integration of AI platforms and technologies
- Create documentation, training materials, and knowledge-sharing programs
- Monitor model performance and implement continuous improvement processes
- Stay current with emerging AI technologies and industry trends
Education
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field
Benefits
- Accelerated Growth Environment with autonomy to lead experiments at scale
- Top Tier Compensation Package including stock incentives
- Flexible unlimited Flex Time Off
- Comprehensive benefits including 401k and Health, Vision, Dental insurance
- Engaging team-building events fostering camaraderie and growth
Average salary estimate
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