Sr AI/ML Solutions Architect - PostgreSQL (142440)

Job Summary

Key Responsibilities

• Key Responsibilities 1. Architect end-to-end AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn, ensuring scalability, performance, and security across cloud and on-premise environments. 2. Design and implement distributed data processing pipelines with Apache Spark and Kafka, optimizing for real-time analytics and robust data ingestion. 3. Develop and operationalize machine learning models for NLP, deep learning, and time series forecasting using Spark Mllib, XGBoost, and LightGBM, ensuring seamless integration with PostgreSQL and DataBricks platforms. 4. Establish best practices for model deployment and monitoring using Apache Airflow and Bash scripting, enabling automated workflows and continuous delivery. 5. Mentor and guide technical teams in advanced AI/ML model development, fostering skill growth in Python, R, and SQL, and mitigating delivery risks through knowledge transfer. 6. Collaborate with stakeholders to gather requirements, define technology strategy, and align AI/ML architectures with evolving business needs and industry standards. 7. Architect and implement RESTful API integrations to enable seamless communication between AI/ML components and external systems, ensuring scalable, secure, and efficient data exchange across diverse enterprise environments. 8. Architect and implement RESTful API integrations to enable seamless communication between AI/ML components and external systems, ensuring scalable, secure, and efficient data exchange across diverse enterprise environments.