AI & Data Engineer

About Seattle Aviation Solutions (SAS):

Seattle Aviation Solutions (SAS) is a leading global distributor of aftermarket parts for business and commercial aircraft. Headquartered in Seattle, with operational hubs in Dubai and Turkey, SAS is committed to providing exceptional service and quality products to its clients worldwide. We are leveraging data and AI to revolutionize the way aviation parts are sourced, sold, and managed.

Position: AI & Data Engineer

Are you a technically brilliant and self-directed developer with a passion for working with large datasets and exploring the frontier of AI? Do you enjoy building elegant solutions with Python and want to play a foundational role in shaping a company's data and AI strategy? If so, we invite you to join Seattle Aviation Solutions as an AI & Data Engineer.

Key Responsibilities:

• Data Engineering & Pipeline Development: Build and maintain scalable, reliable data pipelines and ETL processes to support analytics, reporting, and AI applications.
• AI/ML Enablement: Collaborate with internal stakeholders to identify AI opportunities and develop prototypes that support business functions such as pricing, purchasing optimization, forecasting, and anomaly detection.
• Python Development: Write clean, efficient, modular Python code to support data transformation, automation, web scraping, API integrations, and ML model deployment.
• Data Architecture: Help define and maintain data infrastructure, schemas, and storage systems to ensure high-performance analytics across structured and unstructured datasets.
• Independent Problem Solving: Take ownership of technical challenges, working independently to design and implement end-to-end solutions with minimal oversight.
• Tooling and Infrastructure: Set up and manage tools for data analysis, model development, and experimentation (e.g., Jupyter, Airflow, Docker, Git).
• Collaboration: Work closely with data and IT leadership and other technical team members to translate high-level ideas into deployable code and functional systems.
• R&D: Stay current on AI/ML trends, LLMs, and emerging technologies to help SAS map its AI future and continuously push innovation forward.

Personal Attributes:

• Highly intelligent, curious, and motivated by technical challenges.
• Strong problem-solver with a hacker mindset and bias for action.
• Self-directed and capable of managing projects independently from concept to deployment.
• Excellent communication skills and ability to work across technical and non-technical teams.

Qualifications:

• Experience: 3–6 years of experience in Python development, data engineering, or AI/ML roles.

Skills:

• Strong Python programming expertise.
• Experience with data processing frameworks (e.g., Pandas, NumPy, SQLAlchemy, PySpark).
• Familiarity with cloud environments (e.g., AWS, GCP, or Azure).
• Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Experience building and deploying ML models using libraries like scikit-learn, TensorFlow, or PyTorch.
• Comfortable with DevOps tools (Git, Docker, CI/CD pipelines) and working in Linux environments.
• Understanding of REST APIs and third-party data integrations.
• Experience working with large datasets and solving performance bottlenecks.
• Comfortable working within the framework of current tech stack (Snowflake, AWS, Fivetran, Tableau)

Bonus: Exposure to LLMs, LangChain, Vector Databases (e.g., Pinecone, Weaviate), or NLP applications is highly desirable.

Location: Dubai or Remote (willingness to work either EST or PST)

Job Type: Full-time

Benefits:

• Competitive salary and performance-based incentives
• Flexible remote work arrangements
• Comprehensive health insurance
• Opportunity to define and build the AI roadmap of a global aviation company