We are looking for a Senior Machine Learning Engineer who is passionate about creating solutions with massive impact, solving challenging real-world problems, and working in unexplored areas, continuous improvement and Agile development. Applied machine learning experience in driving business value from large datasets in Enterprise environments is a must.

Working with a diverse range of clients across industry verticals, you will have the opportunity to become a leading expert in delivering transformative machine learning solutions to industry that deliver real-world results. As part of a vibrant and growing team, you will be at the frontier of the AI revolution.

What will you do?
Take charge and manage important state-of-the-art machine learning and deep learning projects with billions of data points from day one
Collaborate with enterprise clients to customize machine learning solutions for their distinct business requirements
Design and develop different machine learning systems, insights, and algorithms, and then prototype, deploy to production, and test them to ensure all client’s business needs are covered
Manage overall software implementation lifecycles of projects, ensuring compliance with existing and future enterprise implementation standards
Facilitate the deployment and configuration of Dessa software applications
Support the deployment team’s preparation of work plans, milestones, resource needs according to Dessa’s standard methods and practices
Mentor junior machine learning engineers in developing their skills and knowledge
Communicate ideas, updates, capabilities, and workflows to various business stakeholders as well as your fellow Dessa team members




Must Have
2 years with deep learning applied in industry or 3-5 years of traditional machine learning experience in industry working with live datasets in Enterprise-level environments solving real-world problems
Experience leading teams in deploying machine learning projects in enterprises
Proven prior experience working with very large datasets and live production systems where your ML solutions have made a real impact with measurable implications
An Engineering, Computer Science, Physics, Math, or similar graduate degree
Effective client-focused communication skills and comfort in interacting with diverse technical and business stakeholders at all levels
Proven hands-on experience with Python Machine Learning libraries, such as TensorFlow, and PyTorch, distributed computing frameworks such as Spark, and NoSQL databases such as Cassandra and MongoDB
Demonstrable understanding of and passion for statistics, probability theory, and data modeling, with a penchant for great algorithm design and strong CS fundamentals
Ability to work on a diverse team or with a diverse range of people, and in a rapidly changing multi-disciplinary work environment

Nice To Have
Demonstrable understanding of deep learning
Experience with semi-supervised, reinforcement learning, active learning, or natural language processing (NLP)
Experience implementing high-performance Service Oriented Architectures
Expertise with Docker or Kubernetes
Contributions to open-source or personal projects, combined with an active voice on the AI/ML/DL scene such as record of published research papers, involvement at conferences/meetups/online teaching, etc.
Experience working in one or more of the following sectors: banking, insurance, telecommunications

What’s in it for you?
Work with purpose: contribute to deploying machine learning models that drive real business impact across industry verticals
Opportunity to work with leading machine learning experts on cutting-edge problems
Opportunities to develop relationships with a variety of industry decision-makers, subject-matter experts, software developers, and machine learning specialists
Opportunity to attend exclusive seminars at the Vector Institute with world renowned researchers in deep learning and AI
Split time between your work duties and pursuing personal machine learning passion projects
Participate in feats of strength and lively company events that build your career toolkit while also enjoying a work-life balance
Enjoy a comfortable company work environment located in downtown Toronto that encourages self-expression, creativity, honesty, and learning
Amazing quality of life benefits: healthy snacks, gym memberships, travel accommodations, great health benefits, and more!
Stock options possible after you have proven your impact on the job
As needed: sponsorship for work visas

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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