97 applicants

Company

Qohash · 3 hours ago

Senior Machine Learning (AI) Developer, Cyber

United States

Full-time

Remote

Senior Level

5+ years exp

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ComplianceCyber Security

Comp. & Benefits

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Responsibilities

Package LLM models, incorporating Generative AI, deploy to production environments, and monitor usage and performance.

Collaborate with engineers and product managers to integrate Generative AI features into existing systems.

Experiment with different Generative AI techniques and architectures to optimize both delivery and performance.

Evaluate and validate the effectiveness of Generative AI models using appropriate metrics.

Manage ML infrastructure in the cloud.

Test models at scale and ensure CI/CD best practices are followed by the whole team.

Diagnose and resolve ML workflow and production issues quickly

Design, develop, and maintain machine learning algorithms that work on machines with limited resources as well as in cloud environments

Create and maintain scalable feature pipelines.

Integrate the algorithms in the current systems, in collaboration with the engineering teams

Write production-level code to convert ML models into working pipelines

Correct anomalies and problems as they arise.

Test the implemented features to make sure all acceptance criteria are met

Participate in projects from the initial idea to launch.

Contribute to the continuous improvement of development activities (agility, automated tests, deployment, etc.).

Collaborate with the security team to integrate security best practices into software development processes.

Communicate risks associated with any activity, technology, or processes as you identify them

Stay up to date with developments in the machine learning industry

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

LLMsDeep LearningPythonGenerative AIMLOpsTensorflowPyTorchPySparkSQLSageMakerCollaboration skills

Required

5+ years of experience with the following ML model techniques: LLMs, Deep Learning, traditional ML and predictive modeling

5+ years of experience with Python programming

3+ years experience with building, validating, deploying and monitoring production models

Strong skills in using generative AI to speed up features delivery

Strong understanding of Generative AI techniques and models.

Experience with ML frameworks such as Tensorflow, PyTorch.

Experience with infrastructure and tooling for MLOps

Excellent communication and collaboration skills

Preferred

Strategically prioritizing candidates who reside in the province of Quebec or Ontario (Remote)

Extensive experience with AI frameworks and libraries

Experience with pySpark, SQL, SageMaker

Experience working in a Startup environment

Bilingual (EN/FR)

Benefits

Up to six weeks of paid time off annually

Comprehensive health benefits package, including life insurance, short- and long-term disability insurance, paramedical and telemedicine services, and an HSA account.