Sr AI/ML Software Developer

eTeki Inc.
Canada
$180K-$202K a year (estimated)
Part-time

eTeki supplies hiring teams with interviews-as-a-service to scale and optimize technical hiring. Our expert talent pool has sellers in 100 countries and every role / tech stack.

Through eTeki onboarding, sellers become certified interviewers. Buyers get an extensive candidate report and video in 24 hours or less.

Full concierge services and self service marketplace options available. Save time, save money, and reduce bad hires with the most advanced technical interviewing platform.

The Role

Professional Experience : 8+ years of experience in AI / ML engineering with a proven track record of deploying AI applications on Azure, specifically involving LLM APIs for GenAI

DevOps Knowledge : familiarity with CI / CD pipelines, containerization (Docker), and orchestration (Kubernetes)

Data Management : Experience in data preprocessing, cleaning, transformation, and knowledge of SQL / NoSQL databases

API Integration : Experience with creating and consuming RESTful APIs and integrating LLM-based services with other systems

Automation : familiar with creating and managing bots in the Automation Anywhere environment

Front End : experience in wireframing, UI / UX processes, and / or creating front end web pages

Automations : Experience with Digital Workers / robotic process automation (RPA)

Education / Training :

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with relevant Azure certifications being a plus

Ideal Profile

Professional Experience : 8+ years of experience in AI / ML engineering with a proven track record of deploying AI applications on Azure, specifically involving LLM APIs for GenAI

DevOps Knowledge : familiarity with CI / CD pipelines, containerization (Docker), and orchestration (Kubernetes)

Data Management : Experience in data preprocessing, cleaning, transformation, and knowledge of SQL / NoSQL databases

API Integration : Experience with creating and consuming RESTful APIs and integrating LLM-based services with other systems

Automation : familiar with creating and managing bots in the Automation Anywhere environment

Front End : experience in wireframing, UI / UX processes, and / or creating front end web pages

Automations : Experience with Digital Workers / robotic process automation (RPA)

Education / Training :

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with relevant Azure certifications being a plus

What's on Offer?

  • Sr AI / ML Software Developer
  • 8 hours ago
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