Machine Learning Engineer II at ConstructConnect
Atlanta, Georgia, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Apr, 25

Salary

0.0

Posted On

30 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Overview:
This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment.

THE OPPORTUNITY

ConstructConnect is looking for a full-time Machine Learning Engineer II.
The construction industry is ready for innovation. Metrics show an increase in buildings but a downturn in available labor. ConstructConnect is ready to fill this gap through a variety of artificial intelligence and machine learning approaches. Our opportunity to achieve this goal is vast and varied. We are leveraging generative AI, computer vision and natural language processing to name a few.
The ideal candidate for this role will have a passion for AI and ML, with a strong background in Python and experience building and deploying machine learning solutions. They will bring an energy for innovation and a desire to learn new techniques and tools. Come help us build the future of the pre-bid construction industry!
Responsibilities:

Responsibilities

As a Machine Learning Engineer II, you will play a crucial role designing, implementing, optimizing, and operationalizing innovative AI solutions. You will have the opportunity to handle everything from the development to the deployment of ML models and their management on leading cloud computing platforms.

  • Understand business objectives and develop models that help achieve them, along with metrics to track their progress.
  • Work closely with Data scientists to build their models into production ready versions with good code practices.
  • Design, develop, and deploy end-to-end ML pipelines to support various AI/ML initiatives.
  • Design and manage scalable cloud-based infrastructures to support machine learning workflows, emphasizing data security and compliance.
  • Optimize and fine-tune deep learning models to improve its performance, accuracy, and efficiency.
  • Conduct thorough evaluations and assessments of models, providing recommendations for enhancements.
  • Continuously monitor, evaluate, and optimize the performance, accuracy, and cost of ML models in production cloud environments.
  • Contribute to the development of internal frameworks, and libraries to streamline ML
  • Troubleshoot and solve issues related to model deployment, scalability, and performance.
  • Stay informed about industry trends, best practices, and emerging technologies in AI.
  • Team player with the ability to balance multiple simultaneous projects.
  • Mentor and guide junior ML engineers.
  • Conducting thorough code reviews to ensure code quality and adherence to best practices.
  • Participate in the recruiting and onboarding of new team members.
  • This job description in no way implies that the duties listed here are the only ones that team members can be required to perform.

Qualifications:

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