Data & AI Engineer

Calix

2d • $70,200 - $143,800

About The Position

Calix provides cloud, software platforms, systems, and services for communications service providers. As a Data & AI Engineer, you will design, build, and optimize data pipelines, machine learning models, and AI-enabled solutions that help enterprise teams make decisions and automate complex workflows. The role includes developing intelligent applications, autonomous agents, and advanced automation, while collaborating with business and technical teams to deliver reliable, scalable, secure solutions integrated with enterprise platforms.

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 for data querying, transformation, and analysis.
• Strong Python programming skills for data processing, automation, and model development.
• Experience building and maintaining data pipelines using modern 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 concepts, including model training, evaluation, and deployment.
• Exposure to MLOps practices such as model packaging, CI/CD, and monitoring.
• Experience integrating data and AI solutions with business applications or enterprise platforms.
• Experience with API integration to connect data, AI models, and applications.
• Ability to develop and support intelligent applications, such as chatbots and automation tools.
• Knowledge of data quality assurance, security, and compliance best practices.
• Experience documenting processes and sharing technical knowledge with team members.
• Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
• Effective written and verbal communication skills.

Nice To Haves

• Master’s degree or higher in a relevant field.
• Advanced experience in data engineering, including building scalable, high-performance data architectures and ETL frameworks.
• Advanced experience in machine learning, including designing, training, and deploying complex models for real-world applications.
• Experience with agentic AI systems, such as autonomous agents, advanced chatbots, or AI-driven automation platforms.
• Experience implementing and maintaining data governance frameworks, including data lineage, metadata management, privacy, and compliance.
• Experience with containerization, such as Docker, and modern software development practices.
• Exposure to vector databases, semantic search, or feature stores.

Responsibilities

• Design and build scalable data pipelines to collect, clean, and organize data from various sources.
• Integrate data and AI solutions with business applications and enterprise platforms.
• Develop and deploy machine learning models for enterprise use cases.
• Ensure data quality, security, and compliance across data and AI projects, following best practices and governance frameworks.
• Create intelligent applications, such as chatbots and automation tools, integrated with enterprise platforms.
• Collaborate with cross-functional teams to deliver end-to-end solutions.
• Document processes and share technical knowledge to support team learning and project continuity.
• Apply advanced data engineering and machine learning techniques to solve complex business problems and optimize data architectures.
• Contribute to agentic AI initiatives, including autonomous agents, advanced chatbots, and AI-driven automation platforms.

Benefits

• The role may be eligible for a bonus.
• The company refers candidates to information about its benefits, but specific benefits are not listed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level