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AI/ML Architect

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Onsite

AI/ML Architect

AppLab Systems, Inc

AI/ML Architect

Skills

SQL QueriesDeep LearningPythonPyTorchTensorFlowRPostgreSQLKafkaDatabricksData AnalysisMachine LearningAINo-code AutomationsNLP / Natural Language ProcessingApache AirflowBusiness Transformation

1 month ago

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Important information


Contract type:

Permanent

Location:

Tampa, FL, USA

Work mode:

Onsite

Published on:

1 October 2026

What they need


Sr AI/ML Solutions Architect(PostgreSQL) Job Summary This role is responsible for architecting and designing advanced artificial intelligence and machine learning solutions that drive business transformation. The individual leverages deep expertise in scalable data platforms, distributed computing, and model development to deliver robust, secure, and high-performing systems. They provide strategic technical direction, mentor teams, and ensure alignment of technology strategies with organizational objectives. (1.) Key Responsibilities

  • 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.
  • Design and implement distributed data processing pipelines with Apache Spark and Kafka, optimizing for real-time analytics and robust data ingestion.
  • 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.
  • Establish best practices for model deployment and monitoring using Apache Airflow and Bash scripting, enabling automated workflows and continuous delivery.
  • Mentor and guide technical teams in advanced ML model development, fostering skill growth in Python, R, and SQL, and mitigating delivery risks through knowledge transfer.
  • Collaborate with stakeholders to gather requirements, define technology strategy, and align AI/ML architectures with evolving business needs and industry standards.
  • 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.
  • 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.

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