Software Engineer - AI/ML Cloud

About the Role

Key Responsibilities

• Supports engineering projects by developing software solutions; conducting tests and inspections; preparing reports and calculations. Expected to supervise associate engineers on occasion.
• Understands system protocols, system operations, and data flows. Is aware of the benefits of current technologies. Expected to independently develop a complete software stack. Possesses knowledge of the building blocks, interactions, dependencies, and tools required to complete software and automation tasks. Engages 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 using modern backend frameworks, ensuring integration with AI models and data sources.
• Collaborates with technical teams and uses system expertise to deliver technical solutions.
• Continuously learns new technologies.
• Writes basic documentation on how technology works. Contributes clear documentation for new code and systems used.
• Documenting systems designs, presentations, and business requirements for consumption at the engineer level.
• Contributes to emerging technologies to deliver business goals.
• Demonstrates an understanding of current technologies that support business goals. Collaborates with system engineers to define system requirements and/or requirements for automation.
• Presents new ideas which improve an existing system/process/service using new frameworks.
• Express new perspectives based on independent study of the industry.
• Review current company processes to highlight questions that may drive process refinement.

Requirements

• Bachelor's degree in Computer Science, Engineering or related field
• 2-4 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.
• Experience in designing and integrating AI/ML models into intelligent applications 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
• Customer Service skills
• Analytics skills
• Technical Writing skills
• At least 18 years of age
• Legally authorized to work in the United States

Nice to Have

• 2+ years of experience with programming languages such as Python/R, Java/Scala, and/or Go
• 2+ 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 annually
• 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
• Access to commuter and transit programs