Machine Learning Engineer

Akkodis is seeking a Machine Learning Product Engineer for a contract position with a client in Toronto, ON (Hybrid). Ideally looking for experience with Experience in fine tuning LLMs, Advanced RAG, Agentic frameworks, Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks, Prompt Flows) , experience in cloud technologies (Azure/AWS) preference would be someone with the required skills and experience, particularly in large organizations.

Job Title: Machine Learning Product Engineer

Location: Remote

Client: AllState

Your role in the team

The Investments Gen AI Team pioneers’ transformative Generative AI innovations by harnessing AI to tackle Allstate Investment's most complex challenges with an interdisciplinary, forward-thinking approach. As ML Engineer within the team you will:

• Work in a highly talented diverse team.

• Be encouraged to continuously learn new skills, technologies, and tools.

• Identify areas for innovation and have the freedom to rapidly explore and test out your ideas.

• Play a critical role in the design, development, and deployment of AI/ML tools.

• lead the effort in taking AI/ML solutions from proof-of-concept to production-ready state.

You’ll be closely working with other Platform Consultants to create scalable, reliable AI solutions for Allstate Investments.

An ideal candidate should demonstrate:

• Deep understanding of machine learning fundamentals and ability to apply them in developing and implementing AI/ML solutions.

• Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks, Prompt Flows).

• Solid grasp of software development principles, including design patterns, testing, and version control such as Git.

• Comfortable with hands-on involvement in AI/ML experimentation and model development.

• Proficiency in Python

• Proficiency in cloud technologies (Azure/AWS)

• Development experience with Java Spring boot, React JS preferrable to built end-to-end solution

• Excellent communicator with both technical and non-technical team members.

Responsibilities include (but are not limited to):

• Participate in large projects, demonstrating technical expertise and a hands-on approach in experimentation and productization.

• Engage in hands-on coding, model development, and AI/ML experimentations, focusing on creating production-ready AI/ML solutions.

• Collaborate with Digital Product Managers, Enterprise AI/ML teams, and various Investments Business users to implement AI/ML solutions across Investments.

So, what are the essential criteria to apply?

• Minimum of 3 years of experience working on AI/ML projects, with a focus on productizing AI/ML solutions.

We also have some desirable criteria.

• Solid understanding of agile methodologies.

• Experience with Kubernetes.

• Experience in fine tuning LLMs, Advanced RAG, Agentic frameworks.

• Proficiency working with Azure fabric.