Job Description

Key Responsibilities:

Collect, clean, and preprocess large and complex datasets from multiple sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and insights. Build and validate predictive and prescriptive models using statistical and machine learning techniques. Visualize and communicate insights through dashboards, reports, and presentations. Design, train, and deploy machine learning and deep learning models. Collaborate with software engineers and data engineers to integrate AI models into products or systems. Continuously evaluate and improve model accuracy, performance, and reliability. Stay updated with the latest AI, data science, and related technologies developments. Experiment with new tools, frameworks, and techniques to improve workflow efficiency.

Qualifications and Skills:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Technical Skills:

Proficiency in

Python

Experience with

SQL

and

NoSQL

databases. Strong knowledge of

machine learning algorithms

,

deep learning architectures

, and

data preprocessing techniques

. Experience with

data visualization

tools (Power BI, Tableau, Plotly, etc.).

Soft Skills:

Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to work independently and collaboratively in cross-functional teams. Attention to detail and commitment to quality.

Preferred Experience:

4 years of experience in data science, AI engineering, or applied machine learning roles. Experience in a specific domain (Construction) is a plus. Ready to start immediately
Job Type: Full-time