Developer Relations Advocate

About the role

The role is part of the Trustworthy AI Growth team at a company focused on developing cutting-edge AI solutions. This position is responsible for implementing and maintaining robust infrastructure and workflow scheduling systems to support the development and deployment of AI models.

Responsibilities

• Develop and maintain scalable and efficient infrastructure and workflow scheduling systems using Python, PyTorch, TensorFlow, Apache Kafka, Fiddler, Apache Spark, and other relevant technologies.
• Implement and manage machine learning models for trust building, reinforcement learning, and quality control.
• Collaborate with cross-functional teams including data scientists, product managers, and engineers to ensure alignment on project goals and deliverables.
• Ensure compliance with regulatory standards and best practices in AI development and deployment.
• Contribute to the design and implementation of trust mechanisms and safety features within AI systems.
• Perform root cause analysis and implement corrective actions based on identified issues.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• Minimum 5 years of experience in full-stack development, with a focus on AI and machine learning.
• Experience with Python, PyTorch, TensorFlow, and other relevant frameworks.
• Strong understanding of machine learning algorithms, deep learning, and reinforcement learning.
• Experience with distributed systems and cloud services such as AWS, Google Cloud, and Azure.
• Knowledge of security and privacy principles, especially in the context of AI and machine learning.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams.

Qualifications

• Experience with Apache Kafka, Fiddler, and Apache Spark.
• Knowledge of NIST guidelines and best practices in AI development and deployment.
• Experience with financial systems and operations.

Skills

• Full stack development
• Machine learning
• AI development
• Workflow scheduling
• Trust and safety
• Abuse prevention

Benefits

• Hybrid work schedule
• Competitive salary range of USD 190,000 - 245,000 / year
• Health insurance
• Flexible vacation policy
• Professional development opportunities
• Employee recognition programs

Pay

• USD 190,000 - 245,000 / year

Schedule

• Hybrid work schedule