Note: The job is a remote job and is open to candidates in USA. Allied Resources Technical Consultants is seeking a Senior AI / Data Engineer to take ownership of building and scaling the data and ML infrastructure that powers their AI-driven products. This role involves developing AI/ML predictions, designing secure data pipelines, and collaborating with cross-functional teams to ensure data initiatives deliver business value.
Responsibilities
- Own the development of trusted AI/ML predictions and forecasts, including feature pipelines, model input/output data flows, and robust data validation frameworks
- Design and implement reliable, scalable, and secure data pipelines that support both analytical and product use cases
- Provide technical leadership and mentorship to data engineers and cross-functional partners, fostering a culture of engineering excellence
- Own the architecture and evolution of the data platform to meet performance, scalability, and agility needs
- Implement data governance, quality, and observability best practices, proactively managing data health before issues impact the business
- Optimize cloud data infrastructure for cost, performance, and maintainability, treating the platform as a product—not just a utility
- Partner closely with product managers, engineers, and customer-facing teams to translate business needs into effective engineering solutions
- Ensure data and ML initiatives are aligned with delivering clear business value and an exceptional customer experience
Skills
- 5+ years of experience in data engineering
- 1–2+ years in a senior or lead capacity
- Deep understanding of machine learning models and the ability to articulate trade‑offs (e.g., accuracy vs. interpretability, complexity vs. inference speed)
- Advanced Python skills for complex data structures, automation, and pipeline development
- Strong SQL expertise
- Experience with Scikit‑Learn and similar libraries
- Hands‑on experience building and maintaining feature engineering pipelines
- Strong proficiency with MLOps and orchestration tools such as Airflow, dbt, or Dagster
- Experience with platforms such as Snowflake, BigQuery, Redshift, or Databricks
- Strong understanding of data modeling, performance optimization, and cloud computing (AWS, GCP, or Azure)
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