Machine Learning Engineer, Datatonic
CA$100-125k
Data & AI consulting
Job no longer available
Data & AI consulting
101-200 employees
Job no longer available
CA$100-125k
101-200 employees
Company mission
Datatonic's mission is to help businesses organise, understand, and action their data - discovering smarter ways to work and innovative new strategies in the process.
Role
Who you are
- 2-3 years experience as an ML Engineer, ideally from a consulting background
- Comfortable working with Python and related machine learning libraries, delivering code in well-tested CI/CD pipelines
- Proven experience productionising use cases created by data scientists for a range of model types
- Familiarity with cloud environments (Google Cloud, AWS, Azure)
- Familiarity with developing machine learning models and solutions, with a preference for expertise in Google Cloud GenAI
- Familiarity exposing ML components through web services or wrappers (e.g. Flask in Python)
- Good knowledge of data engineering, ETL and data preprocessing concepts
- Knowledge of scaling up computations (GPUs, distributed computing, ..)
- Strong communication and presentation skills
- Excellent problem-solving skills and the ability to work in a collaborative team environment
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
- Proven ability to manage multiple projects and meet deadlines
What the job involves
- Come aboard as our second ML Engineer in Canada, playing a crucial role in supporting our Lead Consultant to strengthen and expand our ML practice at Datatonic Americas
- Following the success of our ML team in EMEA, we're excited to bring our expertise to Canada
- We are looking for an enthusiastic individual ready to contribute to the growth of this exciting venture, working in tandem with our Senior ML Engineer to build a robust practice
- As a Machine Learning Engineer at Datatonic, your role extends beyond designing and optimizing ML models
- Your expertise and track record on various projects will be valuable, making you an essential addition to our team, particularly if you have prior experience in consulting, client-facing interactions, or internal client management
- Your contributions will directly shape the success of our Machine Learning practice as we tackle challenging projects across diverse industries, leveraging the power of Google Cloud's ML and GenAI services
- Take the important role in client engagements, working with stakeholders to understand their objectives and milestones and translate these into ML solutions that solve real-world problems
- Support the complete machine learning lifecycle, from data preparation and model development to productionization, monitoring, and maintenance. Collaborate with cross-functional teams and document project details for knowledge sharing
- Stay up-to-date with the latest advancements in machine learning and AI, and apply them to solve business problems effectively
Our take
Datatonic is a data consultancy that enables companies to make better business decisions with the power of Modern Data Stacks and MLOps. Its services allow clients to deepen their understanding of consumers, increase competitive advantages, and unlock operational efficiencies.
In 2021 and 2022, Datatonic has built high-performing MLOps platforms for global clients across the Telecommunications, Media, and e-Commerce sectors, enabling them to leverage MLOps best practices across their teams. Its customers include the likes of Sky, Vodafone,upd and Lush Cosmetics.
Since 2013, Datatonic has grown at a rapid rate, expanding into new markets and areas of expertise. The team consists of experts in machine learning, data science, software engineering, science and mathematics who share a passion for data and analysis and operating at the cutting edge.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- 25 days holiday (excl. bank holidays)
- Flexible & remote working
- Choice of laptop
- Pension scheme (3% employer pension, rising by extra 1% per year worked)
- Annual team bonus
- Tech scheme
- £100 home equipment allowance
- Private Healthcare
- Employee Assistance Program
- Cycle-to-Work scheme
- 50% off Gym Annual Membership
- Access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget with 4 days of attendance per year
- Regular monthly social events and team offsites
Company HQ
Canary Wharf, London, UK
Leadership
Louis Decuypere
(CEO)Previously a Marketing & Sales Analyst at P&G for 3 years and Business Intelligence Consultant at RBS for 2 years.
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