Colliers International-posted 25 days ago
Full-time • Mid Level
Onsite • Atlanta, GA
5,001-10,000 employees
Real Estate

The Senior Software Engineer for AI/ML is responsible for defining the technical architecture for a new AI / ML model to build a private Colliers Valuation specific AI/ML model. You will gather, preprocess, and sanitize data from subject properties to feed AI / Model. Build processes, generate tests and define cloud deployment process for AI/ML Model

  • Design, develop, and maintain scalable and efficient data pipelines to collect, clean, and transform large volumes of data.
  • Ensure data pipelines are robust, reliable, and optimized for performance.
  • Design and implement data models that support the storage, retrieval, and analysis of structured and unstructured data.
  • Integrate and consolidate data from various sources, both internal and external, to create a unified and comprehensive data ecosystem.
  • Ensure data integrity and accuracy through data quality assessments, cleansing, and validation techniques.
  • Optimize and enhance machine learning algorithms for performance, scalability, and accuracy.
  • Implement data preprocessing, feature engineering, and model training workflows using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Data Infrastructure Management: Configure and maintain cloud-based infrastructure for data storage, processing, and analysis.
  • Monitor and troubleshoot data-related issues, ensuring high availability and reliability of data systems.
  • Stay up to date with emerging technologies, tools, and best practices in data engineering, AI, and ML.
  • Bachelor's or master's degree in computer science, Data Science, or a related field with 3-5 years' experience
  • Proven experience as a Data Engineer or similar role, with a focus on AI/ML projects.
  • Strong proficiency in Python programming and experience with relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of data engineering concepts, data modeling, and database systems (e.g., SQL, NoSQL).
  • Experience with data integration and ETL tools (e.g., Apache Airflow, Apache Spark, Talend).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, EC2, BigQuery).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Employees (and their families) are provided options for employer subsidized medical benefits including RX, dental, vision as well as employer paid basic life/AD&D insurance and short-term/long-term disability.
  • Employees are able to enroll in our company's 401k plan, which includes an employer match.
  • Employees will also receive 10 days of sick leave and a minimum of 15-days vacation annually.
  • Certain senior-level roles are eligible for unlimited time off.
  • Employees will also enjoy 10 paid holidays plus two personal flex days throughout the calendar year.
  • Twelve weeks (for birth parents) and 4 weeks (for non-birth parents, including adoptive/foster parents) of paid parental leave will also be available for use after successful completion of 90 days of employment.
  • Individuals may be eligible for different or additional benefits under applicable state law.
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