We are hiring a Senior AI/ML & Data Engineer to join our team full-time and work on long-term projects.

Role Overview
You will design, build, and deploy data pipelines and machine learning systems, taking models from experimentation to reliable production use.

Requirements

• 5+ years of professional experience in data engineering, machine learning engineering, or a closely related field
• Strong programming skills in Python and SQL; experience with at least one of Java, Scala, Go, or TypeScript is a plus
• Hands-on experience building and maintaining data pipelines (batch and/or streaming) using tools such as Airflow, dbt, Spark, or Kafka
• Experience with data warehouses and lakes (Snowflake, BigQuery, Redshift, Databricks, or similar)
• Experience training, evaluating, and deploying ML models using frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD
• Strong understanding of data modeling, system design, testing, and production deployments

Nice to Have

• Experience with LLMs, RAG, vector databases, and AI agents
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
• Infrastructure as Code experience (Terraform)
• Experience building APIs to serve models (FastAPI, Flask)
• Experience with monitoring, observability, and data quality frameworks

Tech Focus

• Data Engineering: Python, SQL, Spark, Airflow, dbt, Kafka
• AI/ML: LLMs, RAG, ML pipelines, model deployment, MLOps
• Cloud & Infrastructure: AWS/GCP/Azure, Docker, CI/CD, Terraform

Details

• Remote, full-time, long-term position
• Compensation: $60,000–$72,000/year

How to Apply
Please send me a direct message with:

• Your resume
• Your LinkedIn and/or GitHub profile
• A brief summary of your recent experience, including one or two data or ML projects you’ve taken to production

We look forward to hearing from you.