AI Engineer

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