Job Description

Make your next move an expert one.

At Colliers it\xe2\x80\x99s not our success that sets us apart, it\xe2\x80\x99s how we achieve it. Our people are passionate, take ownership and always do what\xe2\x80\x99s right for our clients, people and communities.

Why Colliers?

Our enterprising environment needs your expertise to facilitate Colliers\xe2\x80\x99 continued growth as an industry leader. Our nimble, decentralized culture can provide you with a wealth of opportunities to learn about our business and quickly gain experience to accelerate your career.

Overview of position

Define technical architecture for a new AI / ML model.

Build a private CVAS specific AI/ML model based on fine tuning an existing AI Model

Gather, preprocess, and sanitize data from subject properties to feed AI / Model to generate accurate and relevant narratives.

Build process to continually feed new data to private CVAS AI / ML Model for continuous improvement.

Generate tests to evaluation accuracy of AI/ML Model

Define cloud deployment process for AI/ML Model

Integrate CVAS AI / ML model with front end research data to generate narratives.

& Responsibilities

Data Pipeline Development:

• Design, develop, and maintain scalable and efficient data pipelines to collect, clean, and transform large volumes of data.
• Collaborate with software engineers, and other stakeholders to understand data requirements and implement effective solutions.
• Ensure data pipelines are robust, reliable, and optimized for performance.

Data Modeling and Integration:

• 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.

Machine Learning Implementation:

• 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.

Qualifications

• Bachelor\'s or Master\'s degree in Computer Science, Data Science, or a related field with 3-5 years\xe2\x80\x99 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.

Make your next move an expert one and join us as we lead the industry into the future.

Direct applicants only please, no agencies.

Colliers provides equal employment opportunity to all persons. No employee or applicant for employment will be discriminated against because of race, creed, origin, marital status, sexual orientation, age, otherwise qualified disabled or veteran status or any other characteristic protected by law.

Colliers International