Lead Software Engineer - Remote

About the Role

Key Responsibilities

• Design, develop, and deploy scalable AI/ML solutions for complex business challenges
• Build distributed, fault-tolerant systems across multi-cloud environments (Azure, AWS, GCP, Databricks, Snowflake)
• Develop services for batch and real-time model inference using tools like AzureML, Databricks Workflows, SageMaker, and Airflow
• Implement MLOps best practices including CI/CD, model versioning, and monitoring
• Build infrastructure and tooling to support model hosting, DataOps, and MLOps workflows
• Develop and maintain big data pipelines using technologies like Apache Spark and Hadoop
• Mentor and guide a team of AI/ML engineers, fostering a culture of learning and innovation
• Collaborate with cross-functional teams to align technical solutions with business goals
• Communicate complex AI/ML concepts to non-technical stakeholders
• Stay current with the latest AI/ML advancements and introduce new tools and techniques
• Contribute to the strategic direction of the platform team, including roadmap planning and goal setting

Requirements

• Bachelor's degree in CS, AI, or related field
• 7+ years of professional software engineering experience, including 5+ years of hands-on coding in Python, Java, or similar languages with a focus on building scalable, maintainable systems
• 5+ years designing, building, and scaling AI/ML solutions on cloud platforms such as AWS, Azure, GCP, Databricks, or Snowflake
• 3+ years implementing MLOps practices, including CI/CD pipelines, model versioning, monitoring, and automated deployment workflows
• 2+ years in a senior or technical leadership role, with demonstrated experience mentoring engineers and driving technical direction

Nice to Have

• Hands-on experience with CI/CD, Docker, Kubernetes, and Infrastructure as Code tools like Terraform or CloudFormation
• Proven success deploying AI/ML models in production environments at scale with real-world use cases
• Proficiency in AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras) and distributed systems (e.g., Apache Spark, Ray)
• Demonstrated ability to influence across matrixed teams and communicate technical vision and strategy effectively

Qualifications

• Educational background with a Bachelor's degree in CS, AI, or related field

Benefits & Perks

• Competitive salary range of $106,800 to $194,200 annually
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Remote work flexibility within the U.S.