Machine Learning Engineer at Trilogy
Job Overview
Are you passionate about leveraging Large Language Models (LLMs) to boost productivity? Trilogy is seeking a Machine Learning Engineer to innovate real-world AI applications that streamline workflows, automate tasks, and improve decision-making across industries.
About Trilogy
Trilogy has been a pioneer for over three decades, focusing on talent acquisition, technological innovation, and incubation of new businesses. Known for simple, customer-facing designs, they foster a dynamic environment for growth and achievement.
Key Responsibilities
- Design and develop high-quality AI automations to improve processes and scalability.
- Experiment with cutting-edge AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into development workflows.
- Evaluate and optimize AI solutions across various infrastructures, including AWS.
- Architect and deploy fully automated AI systems requiring zero human intervention.
What You Will Be Doing
- Building scalable AI automation solutions.
- Integrating state-of-the-art AI tools.
- Ensuring seamless performance and integration of AI solutions.
What You Won't Be Doing
- Traditional coding (your focus will be on AI-driven solutions).
- Handling repetitive tasks.
Basic Requirements
- Minimum 5 years of professional experience.
- Proficiency in Python and AWS.
- Familiarity with GenAI code assistants like Github Copilot.
- Proven experience implementing Generative AI solutions with measurable impact.
- Experience working with various LLMs via APIs (e.g., GPT, Claude, Mistral).
- An AI-First mindset: strategies should leverage AI first, rather than initial coding.
Compensation & Employment
- Full-time (40 hours/week).
- Immediate start.
- Independent contractor with Crossover.
- Pay rate: $50/hour (approx. $100,000 annually).
- Weekly payments.
Application
Interested candidates should apply promptly to learn more about this exciting opportunity.
Crossover Job Code: LJ-5105-CA-Ottawa-MachineLearnin.013