Senior Software Engineer AI/ML at Colliers in Atlanta, GA | Kablio

Role

Description

data quality

cloud infrastructure

data pipelines

ml optimization

feature engineering

data modeling

Ensure data integrity and accuracy through data quality assessments, cleansing, and validation techniques.
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.
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).
Design, develop, and maintain scalable and efficient data pipelines to collect, clean, and transform large volumes of data.
Integrate and consolidate data from various sources, both internal and external, to create a unified and comprehensive data ecosystem.
Stay up to date with emerging technologies, tools, and best practices in data engineering, AI, and ML.
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.

Requirements

bachelor's

python

airflow

aws

sql

problem solving

Bachelor's or master's degree in computer science, Data Science, or a related field with 3-5 years’ experience
Experience with data integration and ETL tools (e.g., Apache Airflow, Apache Spark, Talend).
Proven experience as a Data Engineer or similar role, with a focus on AI/ML projects.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, EC2, BigQuery).
Strong proficiency in Python programming and experience with relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Solid understanding of data engineering concepts, data modeling, and database systems (e.g., SQL, NoSQL).

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

applicants must be authorized to work in the us; no visa sponsorship offered.

Security clearance

Information not given or found

Company

Overview

$5B Revenue

Annual Revenue

Delivers nearly $5 billion in annual revenue across its services.

76 Acquisitions

Growth Through Mergers

Expanded its portfolio through 76 strategic acquisitions over the past decade.

$100B Assets

Real Assets Managed

Manages over $100 billion in real assets through private capital strategies.

20% Returns

Shareholder Growth

Achieved compounded shareholder returns of ~20% annually over 30 years.

A global leader in real estate and infrastructure, evolving from regional roots.
Diversifies services across real estate, engineering, and investment management.
Handles high-value transactions and manages large-scale infrastructure projects.
Offers comprehensive advisory and consulting services globally.

Culture + Values

Environment + Sustainability

27.6% reduction

Emissions Reduction

Achieved a 27.6% reduction in Scope 1 & 2 emissions per square foot from 2021 to 2024.

170 vehicles

Electric Vehicle Fleet

Expanded electric vehicle fleet to over 170 vehicles, representing a fivefold increase in two years.

87.4% offices

Health-Safety Ratings

87.4% of Colliers offices ≥ 2,500 sq ft earned WELL Health-Safety ratings in 2024, up from 35% in 2022.

AA rating

ESG Performance

Received MSCI ESG rating of AA as of February 2024.

Launched Built to Last sustainability strategy with pillars: Environmental sustainability, Workplace experience, Ethical governance & practices.
Science Based Targets Initiative (SBTi)-approved Scope 1, 2 & 3 emissions reduction targets for 2030, aligned with Paris Agreement 1.5 °C goal.
Aim to halve global building emissions by 2030 and fully decarbonize all operational buildings by 2050.

Inclusion & Diversity

33.5% Women

Management Roles Globally

Percentage of women held in management roles as of 2023, showing an increase of 1.8 percentage points since 2021.

Articles

Investor Contacts

Accessibility Statement

Colliers International Wikipedia

Role

Description

data quality

cloud infrastructure

data pipelines

ml optimization

feature engineering

data modeling

Ensure data integrity and accuracy through data quality assessments, cleansing, and validation techniques.
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.
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).
Design, develop, and maintain scalable and efficient data pipelines to collect, clean, and transform large volumes of data.
Integrate and consolidate data from various sources, both internal and external, to create a unified and comprehensive data ecosystem.
Stay up to date with emerging technologies, tools, and best practices in data engineering, AI, and ML.
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.

Requirements

bachelor's

python

airflow

aws

sql

problem solving

Bachelor's or master's degree in computer science, Data Science, or a related field with 3-5 years’ experience
Experience with data integration and ETL tools (e.g., Apache Airflow, Apache Spark, Talend).
Proven experience as a Data Engineer or similar role, with a focus on AI/ML projects.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, EC2, BigQuery).
Strong proficiency in Python programming and experience with relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Solid understanding of data engineering concepts, data modeling, and database systems (e.g., SQL, NoSQL).

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

applicants must be authorized to work in the us; no visa sponsorship offered.

Security clearance

Information not given or found