Data Engineer/AI Developer
First seen by Alion on Jul 23, 2026.
Description :
We are looking for a hands on Data Engineer/AI Developer who can rapidly build AI enabled applications, automate workflows, and deliver solutions end to end using modern SDLC practices.
The role requires a builder mindset someone comfortable moving from idea to prototype to production quickly, while following good engineering discipline.
Key Responsibilities :
- Build lightweight data & AI applications (dashboards, APIs, copilots, automations, PoCs)
- Develop data pipelines, feature flows, and AI integrations (batch & near/real/time)
- Implement automation and workflows across systems (APIs, event?driven, scheduled jobs)
- Apply SDLC best practices: version control, CI/CD, testing, documentation
- Collaborate with business and product teams to translate ideas into working solutions
- Package solutions for reusability and scale (modular code, templates, configs)
- Stay current with new techniques, tools, and frameworks in data science and AI
Functional & Business Competencies :
- Machine Learning & Model Development
- Statistical Analysis & Feature Engineering
- Problem Framing & Hypothesis Testing
- Business Impact Orientation
- Collaboration with Engineering & Product Teams
- Data Pipeline Design & Optimization
- ETL/ELT Development
- Cloud Data Services
- Collaboration with Analysts & Scientists
- Data Quality & Performance Monitoring
- Clear Communication of Analytical Findings
Qualifications & Experience :
- 5 to 7 years of experience in data science, machine learning, or applied statistics
- Hands on experience in application development and workflows.
- Proficient in Python (e.g., scikit-learn, pandas), SQL, and ML frameworks
- Familiarity with cloud services for data (e.g., Databricks, Azure Data Factory)
- Experience working with cloud-based ML environments (AWS Sagemaker, Azure ML, etc.)
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
Skills
Python, ETL, Data Modeling, Data Integration, Artificial Intelligence, Machine Learning, Pandas, Data Engineering