Job Description
iENGINEERING is currently seeking an ideal candidate who will assume the responsibility of leveraging AI pipelines to manipulate data across diverse projects. This individual will play a key role in identifying and addressing any issues within the pipeline, while also maintaining performance analytics to guarantee optimal functionality.
Requirements
What you’ll be doing:
- Utilize AI pipelines to manipulate and process data for different projects according to project requirements.
- Leverage GIS software like QGIS and ArcGIS for Geospatial data analysis.
- Troubleshoot issues within the AI pipelines, including data quality problems, algorithmic errors, and performance bottlenecks.
- Track key metrics, create Grafana dashboards, and analyze data to optimize the balance between manual and automated efforts.
- Provide technical guidance and support to team members regarding the use and maintenance of AI pipelines.
- Emphasize strong communication and collaboration skills for effective cross-functional teamwork and working as a bridge between Service Delivery and Ai team.
- Oversee multiple projects, prioritize tasks, and consistently meet deadlines.
- Continuously learn and adapt to the latest developments in AI and data analytics.
- Ensure adherence to data security and compliance standards in all AI pipeline activities.
What You’ll Bring Along
- A Bachelor’s degree or higher in Computer Science, Engineering, or a related discipline.
- 2+ years of hands-on experience in the field.
- Proficiency in SQL and Python for EDA and data analysis with experience using libraries such as Pandas, NumPy, Matplotlib, Geopandas and Shapely.
- Experience in geospatial data analytics, including working with QGIS, ESRI products, and ArcGIS.
- Strong analytical and problem-solving skills, capable of diagnosing and resolving complex technical challenges.
- A detail-oriented approach, ensuring high-quality deliverables.
- Experience in performance analytics and deriving insights from data.
- Knowledge of the Transportation Infrastructure Ecosystem and Asset Management is an advantage.
- Certifications in AI, data analytics, or related fields are a plus.