AI Architect Data Engineering || Remote Role || Contract

AI Architect Data Engineering || Remote Role || Contract

Job Description

Looking for an AI Architect with strong Data Engineering expertise to design, build, and scale AI-driven solutions. The ideal candidate will define end-to-end AI architecture, ensure robust data pipelines, and collaborate with engineering and business teams to deliver high-impact machine learning and AI platforms.

Key Responsibilities

• Design and own AI/ML architecture, including data ingestion, feature engineering, model training, deployment, and monitoring
• Architect and optimize large-scale data pipelines using batch and real-time processing
• Collaborate with data scientists to operationalize machine learning models (MLOps)
• Define best practices for data quality, governance, security, and scalability
• Select appropriate AI frameworks, data platforms, and cloud services
• Lead technical design discussions and provide architectural guidance to teams
• Ensure performance, reliability, and cost optimization of AI and data platforms
• Stay current with emerging AI, ML, and data engineering technologies

Required Skills & Qualifications

• Strong experience in AI/ML architecture and solution design
• Hands-on experience in Data Engineering (ETL/ELT, data lakes, data warehouses)
• Proficiency in Python, SQL, and data processing frameworks (Spark, Flink, etc.)
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, CI/CD pipelines)
• Strong understanding of cloud platforms (AWS, Azure, or Google Cloud Platform)
• Experience with big data technologies (Kafka, Hadoop, Snowflake, Redshift, BigQuery)
• Excellent problem-solving and communication skills

Thanks,

IT First Source