Generative AI Engineer

About the job
Job Title: Generative AI Engineer with ML

Location: Toronto, ON (Hybrid 3 days)

Employment Type: Full-time opportunity

Only locals

Job Description:

Goal:

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

Responsibilities:

Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
Working with a team to build digital applications to integrate with ML solution solutions to the users.
Mentor and guide junior engineers, providing technical expertise and leadership in ML projects.
Collaborate with cross-functional teams to integrate ML solutions into various product features.
Work with large datasets to identify trends, patterns, and insights that drive decision-making. 
Implement and optimize ML models for high availability, scalability, and performance in production environments.
Stay up to date with the latest advancements in AI/ML technologies and apply them to improve our systems.
Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology.
Conduct code reviews, participate in technical design sessions, and provide mentorship to junior engineers.
Troubleshoot and resolve issues related to ML models and data pipelines.
Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Develop and maintain comprehensive documentation for ML models and processes.
Provide strategic input into project planning and execution, ensuring alignment with business goals.
 

Required skills:

Extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning.

Proven leadership skills with the ability to mentor and guide junior engineers.

Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.

Strong programming skills & experience writing clean code in languages like Python, Java, or similar.

1-2 Experience in Building digital applications using Django or SpringBoot frameworks

Experience with data handling, preprocessing, and pipeline development, including proficiency in SQL/NoSQL databases.

Knowledge of AI technologies, including Gen AI, LLMs, and semantic search.

Strong understanding of security architecture and data privacy regulations.

Excellent problem-solving skills and a passion for continuous learning and innovation.

Effective communication skills, capable of presenting technical concepts to non-technical audiences.

Ability to work collaboratively in a cross-functional team environment.

Open-minded, receptive to new ideas, and always looking for a better way to do something.

A passion for simplifying and automating work, making things better, continuous learning, open-ended problems, efficiency and helping others

Knowledgeable about containers and orchestration (e.g. Docker, Kubernetes)