Sr Software Engineer - AI/ML Cloud

About the Role

Key Responsibilities

• Drives engineering projects by developing software solutions; conducting tests and inspections; preparing reports and calculations; supervising base and associate level engineers as needed.
• Understand system protocols, system operations, and data flows; independently develop complete software stacks; engage in independent study of current technologies.
• Design and integrate AI/ML models into intelligent applications using frameworks like TensorFlow, PyTorch, Scikit-learn, or Azure ML.
• Build, deploy, and maintain applications on cloud platforms (Azure, AWS, or GCP) using services like Azure Functions, AWS Lambda, and serverless components.
• Containerize applications using Docker and manage deployments on Kubernetes clusters for scalability, high availability, and fault tolerance.
• Design and develop robust data pipelines using tools like Apache Spark, Azure Data Factory, or Databricks; work with structured and unstructured data across data lakes, warehouses, and relational databases.
• Develop and maintain RESTful APIs and microservices ensuring integration with AI models and data sources.
• Contribute to designs to implement new ideas utilizing new frameworks to improve systems, processes, or services.
• Review existing designs and processes to identify more efficient methods based on industry perspectives.
• Collaborate with technical teams and utilize system expertise to deliver technical solutions.
• Mentor others through workshops or learning sessions; contribute to the development of team members.
• Write basic documentation on technology systems, code, and designs; create clear documentation for new systems and code.

Requirements

• Bachelor's degree in Computer Science, Engineering or related discipline.
• 4-7+ years of technical engineering experience.
• Experience in building, deploying, and maintaining applications on cloud platforms such as Azure and AWS, utilizing services like Azure Functions, AWS Lambda, and other serverless components.
• Proficiency in designing and integrating AI/ML models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Azure ML.
• Skilled in designing and developing robust data pipelines using tools like Apache Spark, Azure Data Factory, or Databricks.
• Communication skills required.
• Customer service skills required.
• Analytics skills required.
• Technical writing skills required.
• At least 18 years of age.
• Legally authorized to work in the United States.

Nice to Have

• 4-7+ years of experience with programming languages such as Python/R, Java/Scala, and/or Go.
• 4-7+ years of experience delivering high-quality ML models in production environments.

Benefits & Perks

• Competitive base salary and compensation package.
• Annual stock grant, employee stock purchase plan, 401(k).
• Access to free, year-round money coaches.
• Medical, dental, and vision insurance.
• Flexible spending account, paid time off, and up to 12 paid holidays.
• Paid parental and family leave, family building benefits, back-up care, childcare subsidy, tuition assistance, college coaching.
• Short- and long-term disability, voluntary AD&D, accident, life, and disability insurance.
• Mobile service & home internet discounts, pet insurance, transit programs.