Publié il y a 27 mois
IT Lead - Machine Learning Engineer
@ Tree Top Staffing LLC
Ontario
En bref
Tree Top Staffing LLC is hiring a Lead, IT – Machine Learning Engineer to lead a new MLOps team in Toronto that builds model pipelines and puts ML models into production. The role also assists the Data Science team in developing ML models and manages the ML engineering budget and staff. The posting offers a full-time position with a competitive salary, performance bonus, health, dental and vision insurance, a 401(k) with matching, paid time off and opportunities for advancement.
Responsabilités :
- Lead and develop the ML engineering group in Toronto
- Build and maintain model pipelines and put models into production
- Manage ML engineering budget and project estimates
- Assist data scientists with complex tools and models
- Review code and bring it to production
Résumé des exigences :
- Advanced statistics, business or IT experience required
- Five years leading teams supporting production ML loads
- Hands-on experience with Azure ML, Python, SQL or R
- Experience developing CI/CD pipelines
- Understanding of LLM operations and prompt engineering
Outils et compétences
Avantages mentionnés
Source et dates
Type de source non vérifié · careerplug
- Date publiée par l’employeur
- 2024-08-17
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Chef d’équipe |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Expérience en gestion | 5 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Régime de retraite, Prime de rendement |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Tree Top Staffing LLC
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
At Tree Top Staffing, we take pride in helping job seekers find their ideal role and employers find the right candidate for their company. Our organization is instantiated by experienced professionals providing full service employment solutions including: contract, contract-to-hire, and direct-hire placements within multiple lines of business. Our Approach: We adhere to a set of 4 defining principles encapsulating: Servitude Accountability Integrity Discipline If you make a promise, keep it, as your actions prove your greatness. Our goal at Tree Top Staffing is to set our clients and consultants up for success. It is imperative to ensure an all-around fit from both sides for long term relations to thrive.
- Personnes associées sur LinkedIn
- 600
- Autres noms enregistrés
- Tree Top Staffing LLC
- Spécialités
- Full Life Cycle Recruiting
- Permanent Staffing
- Temporary Staffing
- Contract Recruitment
- Talent Management
- Recruiting
- Hiring
- Staffing
- Statement of Work
- and Talent Acquisition
- Le profil indique une agence de recrutement
- Oui
At Tree Top Staffing, we take pride in helping job seekers find their ideal role and employers find the right candidate for their company. Our organization is instantiated by experienced professionals providing full service employment solutions including: contract, contract-to-hire, and direct-hire placements within multiple lines of business. Our Approach: We adhere to a set of 4 defining principles encapsulating…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 11-50 employees |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Spécialités | Full Life Cycle RecruitingPermanent StaffingTemporary StaffingContract RecruitmentTalent ManagementRecruitingHiringStaffingStatement of Workand Talent Acquisition |
| Offres sur Jobsy | 5 |
| Voir la page |
Benefits:
- 401(k)
- 401(k) matching
- Bonus based on performance
- Competitive salary
- Dental insurance
- Health insurance
- Opportunity for advancement
- Paid time off
- Vision insurance
The Lead, IT – Machine Learning Engineer is the backbone for the models that drive sophisticated analytics insights. The role will ensure that the Machine Learning models get the right data at the right time to deliver accurate results.
This role works closely with the Data Scientist, Cloud and Data Engineering organization new solution development and operations team. This role helps to increase the return on investment on data and technology by enabling ML Models to be scale, maintaining models, and assisting in development of ML models.
Overview:
The Machine Learning Operations (MLOps) is a new team and is instrumental in guiding the Advanced Analytics journey at the Company. As a part of this highly energetic team you will lead the team creating/maintaining model pipelines and putting models into production. You will also get opportunities to expand your horizons working with the data scientists to develop ML models and best in class architecture using industry advanced practices.
If you are passionate about applying technology to solve practical business problems, developing intelligent tools, and working with a friendly team to drive business value, this is going to be your dream. The sky is the limit in terms of enhancing your knowledge and working on a variety of projects alongside the Data Science team!
Primary Responsibilities
- Lead, manage and develop the ML Engineering group in the Toronto office
- Responsible for the internal and external labor applied to ML Engineering projects.
- Manage the ML engineering budget and estimation process.
- Implement machine learning algorithms and customized libraries
- Assist Data Science team with development of complex tools, models or database builds
- Collaborate with data engineers and data scientists to develop data and model pipelines
- Improve existing Machine Learning models
- Write production-level code
- Bring code to production and engage in code reviews
- Use of problem-solving, advanced Analytics methodologies (ML/AI) knowledge to derive architecture of ML models and assist development of new models
- Responsible for ongoing operation for existing models.
- Working with Data Engineers & Data Scientists to ensure integrity & governance, rituals and routines
- Provide inputs/stories and assist in prioritization of Data Engineering sprints
Qualifications
- Advanced Statistics, Business, Information Technology experience required
- Understanding of the major modelling techniques are how to apply them (Linear and Logistics Regression, Bayesian, Time series, Confidence interval, Deep Learning etc.)
- Experience in leading technical teams delivering and supporting analytical capabilities.
- Ability to support ML models in a production cloud environment (Azure experience preferred)
- "Hands-on” experience with analytical tools (preferably AzureML, Vertex, SageMaker, Snowflake, DataBricks, Tableau, Alteryx, SQL, Python, and/or R)
- Solid understanding on LLM operations (including fine tuning and grounding techniques) and prompt engineering best practices
- Strong experience developing CI/CD pipelines
- Proficient in version control tools and practices (Github, Azure DevOps).
- Financial and Project management experience and strong interpersonal skills
- Self-Starter, driven with high business process foresight
- Great Teammate with a positive attitude and ability to work across different business collaborator and technical teams to accomplish complex tasks
- Experience working with database systems and analytical tools
- Strong communication, problem-solving skills and a strong team player
Domain Expertise
- 5 years of working experience in leading teams supporting mission critical ML loads in a production environment.
- Proven model operation management (production rollouts, upgrades, security) experience
- Experience leading analytical innovation
Experiences
- Experience in leading and managing cross functional teams.
- Expert at developing analytical talent and managing remote teams (internal and external)
Individual Skills
- Strong leader, collaborator, team player, and individual contributor
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.