Job Description
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 Apply tot his job