Data Engineer, AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and construct scalable data pipelines to gather, cleanse, and organize data from multiple sources.

• Integrate data and AI solutions with business applications and enterprise systems.

• Develop and implement machine learning models for enterprise-level applications.

• Ensure data quality, security, and compliance throughout all data and AI initiatives.

• Create smart applications such as chatbots and automation tools.

• Collaborate with cross-functional business and technical teams to provide comprehensive solutions.

• Document processes and disseminate technical expertise.

• Utilize advanced data engineering and machine learning methods to address business challenges and enhance data architectures.

• Contribute to agentic AI projects, including autonomous agents, sophisticated chatbots, and AI-driven automation platforms.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent practical experience.

• A minimum of 3 years of practical experience in data engineering, machine learning engineering, or AI solution development.

• Proficient in SQL.

• Strong programming abilities in Python.

• Experience in building and managing data pipelines using dbt, Fivetran, Airflow, or similar modern tools.

• Familiarity with cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.

• Experience with AWS, GCP, or Azure.

• Practical knowledge of machine learning model training, evaluation, and deployment.

• Exposure to MLOps methodologies including model packaging, CI/CD, and monitoring.

• Experience in integrating data and AI solutions with business applications or enterprise systems.

• Competence in API integration.

• Capability to develop and support intelligent applications such as chatbots and automation tools.

• Understanding of data quality assurance, security, and compliance best practices.

• Experience in documenting processes and sharing technical knowledge.

• Strong analytical and problem-solving skills.

• Proficient written and verbal communication skills.

• Preferred: Master’s degree or higher in a relevant field.

• Preferred: Advanced experience in data engineering and machine learning.

• Preferred: Familiarity with agentic AI systems, data governance frameworks, Docker, vector databases, semantic search, or feature stores.

🏝️ Benefits

• Bonus eligibility.

• Employee benefits package (details available via the employer’s benefits information).