Base Salary
$70k - $144k/yr
Responsibilities
- Design and build scalable data pipelines to collect, clean, organize, and transform data from multiple sources.
- Integrate data and AI solutions with business applications, enterprise platforms, and APIs.
- Develop, deploy, evaluate, and maintain machine learning models for enterprise use cases.
- Build intelligent applications, chatbots, autonomous agents, and AI-driven automation tools.
- Design and optimize data architectures, data models, data warehouses, and data platforms.
- Apply data quality, security, compliance, and governance best practices across data and AI projects.
- Contribute to agentic AI initiatives and advanced automation platforms.
- Collaborate with cross-functional business and technical teams to deliver end-to-end solutions.
- Document processes and share technical knowledge with team members.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- At least 3 years of hands-on experience in data engineering, machine learning engineering, or AI solution development.
- Proficiency in SQL and strong programming skills in Python.
- Experience building and maintaining data pipelines with tools such as dbt, Fivetran, or Airflow.
- Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
- Experience with at least one major cloud provider: AWS, GCP, or Azure.
- Practical experience with machine learning model training, evaluation, and deployment.
- Exposure to MLOps practices including model packaging, CI/CD, and monitoring.
- Experience integrating data and AI solutions with business or enterprise platforms and APIs.
- Ability to develop and support intelligent applications such as chatbots and automation tools.
- Knowledge of data quality assurance, security, compliance, and governance best practices.
- Strong problem-solving, collaboration, documentation, and written and verbal communication skills.
- Preferred qualifications include a relevant master’s degree or higher, advanced data and ML engineering experience, agentic AI experience, data governance experience, Docker, vector databases, semantic search, or feature stores.
Tech Stack
Categories
About Calix
Calix is an AI platform company that enables service providers to transform their operations and accelerate delivery of differentiated experiences—so they can compete and win in the markets and communities they serve. Through the AI-native Calix One platform, service providers can securely and privately activate agentic-AI alongside their human teams to acquire new subscribers, grow existing subscriber revenue, and build loyalty across residential, business, municipal, and MDU markets. More than 1,200 customers of all sizes leverage the Calix One platform, which has evolved over 15 years at an investment of more than $2 billion. Calix innovation cycles are underpinned by a strong financial balance sheet and a people‑first culture that routinely earns broad industry recognition—winning 81 culture and innovation awards since 2025 alone, as well as Fortune’s 100 Best Companies to Work For® in 2026.