Job Overview:

We are looking for a skilled Data Engineer with hands-on experience in AI projects. The ideal candidate will design, build, and optimize data pipelines and architectures to support AI and machine learning initiatives. You will work closely with data scientists and AI specialists to ensure seamless data integration, processing, and accessibility.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for AI and ML projects.

• Collect, clean, and preprocess large datasets for training and analysis.

• Collaborate with AI teams to support model development and deployment.

• Optimize data storage, retrieval, and workflow performance.

• Implement best practices for data security, integrity, and quality.

• Document data processes and provide technical guidance to team members.

Requirements from Candidates:

• Proven experience in 4–5 AI-related projects.

• Certifications:

  • AI-101 (Foundations of AI)

  • AI-900 (Microsoft Azure AI Fundamentals)

  • DP-100 (Designing and Implementing a Data Science Solution on Azure)

• Strong programming skills in Python, SQL, or R.

• Familiarity with cloud platforms (Azure, AWS, GCP) and data engineering tools (ETL frameworks, Hadoop, Spark).

• Good understanding of AI, machine learning, and neural networks.

• Strong problem-solving, analytical, and communication skills.

Preferred Skills:

• Experience in AI model deployment and operationalization.

• Knowledge of data warehousing and database management systems.

• Ability to work independently and as part of a cross-functional team.

Benefits:

• Competitive compensation per project ($250–$350).

• Opportunities to work on cutting-edge AI projects.

• Flexible work environment and collaborative team cu