Machine Learning Engineer

deepsense.ai; Canada; Remote; CAD 125,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer, where you will leverage cutting-edge technologies in AI to drive innovative solutions. Collaborate with a talented team to integrate machine learning into cloud applications, optimize algorithms, and enhance deployment practices. This role offers a unique opportunity to work on diverse AI projects, engage in knowledge sharing, and contribute to a culture that values work-life balance and professional growth. If you are passionate about Generative AI and eager to make an impact in the field, this position is perfect for you.

Benefits

Medical package

Multisport cards

Lunch provided

Kitchens stocked with fruit and veggies

Monthly integration budget

Company library

Fun room

Flexible working hours

Opportunity to participate in conferences

Remote work options

Qualifications

• 3+ years in software engineering with strong Python skills.
• Experience with cloud platforms and MLOps best practices.

Responsibilities

• Integrate ML solutions into cloud applications and optimize algorithms.
• Automate model deployment and improve system reliability.

Skills

Python

Bash

Git

Cloud Services (AWS/Azure)

Linux

Machine Learning Algorithms

Communication Skills

Problem Solving

Education

Bachelor's Degree in Computer Science

Advanced Degree in Engineering

Tools

Docker

Kubernetes

Job description

Employment type:

B2B

Operating mode:

Remote

Location:

Canada

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

What we believe in?

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Responsibilities

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
• Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
• Automate and optimize model deployment following MLOps best practices.
• Engage in the development of cutting-edge Kubernetes-driven infrastructure.
• Work on system reliability and backend stability, always looking for details to be improved.
• Share knowledge through talks and workshops (internal and external).

You must have

• Bachelor’s or advanced degree in Computer Science or Engineering.
• Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as cloud services, and Linux.
• Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
• Strong Python skills and familiarity with other object-oriented languages.
• Very effective communication skills, both written and verbal.
• Ability to solve problems and communicate complex ideas effectively.
• Legal right to work in Canada; we do not sponsor visas.

You may have

• Basic understanding of machine learning algorithms.
• Keen interest in Generative AI and Large Language Models (LLMs).
• Previous startup experience.

We offer

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Flexible working hours as long as you are able to kick your day off with getting in touch with our European development team between 8 AM and 9 AM Eastern Daylight Time.
• Remote work options and travel to European headquarters available.

Some of our benefits

• Medical package.
• Multisport cards.
• Lunch provided.
• Kitchens stocked with fruit and veggies twice a week.
• Monthly integration budget.
• Company library (online and offline).
• Fun room.