AI/ML Solutions Architect - PostgreSQL

About the role

This role is responsible for architecting and designing advanced artificial intelligence and machine learning solutions, leveraging a broad suite of data engineering and modeling technologies. The position drives strategic technical decisions, guides teams in implementing scalable AI/ML systems, and ensures alignment with organizational standards and client requirements.

What you'll do

• Architect end-to-end AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn, ensuring robust model development and deployment frameworks
• Design scalable data pipelines and real-time processing systems utilizing Apache Spark, Kafka, and PostgreSQL to support machine learning workflows
• Guide the team in implementing advanced ML models, including deep learning, NLP, and time series forecasting, using tools such as XGBoost, LightGBM, and Spark MLlib
• Oversee integration of data engineering platforms like Apache Airflow, DataBricks, and RabbitMQ to optimize data ingestion, transformation
• Ensure technical excellence by advocating best practices in model validation, performance optimization, and reproducibility across Python, R, and SQL-based environments

What you need

• Machine learning
• PostgreSQL
• Databricks
• AWS
• SQL
• Python
• Any graduate

Good to have

• Scikit-learn
• Pandas
• Spark
• ETL
• Deep learning
• NLP