MLOps Developer

9 Hours ago • 5 Years + • $153,000 PA - $200,000 PA

Job Summary

Job Description

As an MLOps developer at Coactive AI, you will play a crucial role in designing, building, and maintaining our ML infrastructure. You'll work closely with scientists, ML engineers, software engineers, and product managers to streamline the development process and deploy and monitor machine learning models in production. You will work with the Platform Engineering team to deploy and maintain the infrastructure and CI/CD processes supporting our ML initiatives, and apply your understanding of ML, and ML tools and technologies, to continuous optimization efforts. This includes improving the efficiency of ML development and model deployment processes, setting up and managing model serving tools, scaling strategies, and compute resources, building scalable ML infrastructure using managed services and Cloud Native tools, collaborating with data scientists and software engineers to improve the integration of ML into our platform and applications, optimizing model performance, and designing inference graphs/flows, as well as implementing appropriate observability tools to evaluate ML operations across the platform.
Must have:
  • Bachelor's or Master's in Computer Science or a related field.
  • 5+ years of experience with programming languages like Python, Java, or C++.
  • Familiarity with machine learning frameworks and ML Ops practices.
  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
  • Experience with monitoring tools such as Datadog, NewRelic, or similar.
  • Strong problem-solving skills and attention to detail.
Good to have:
  • Experience with vector databases, RAG, similarity, and semantic search.
  • Experience with high-performance ML frameworks like ONNX, TensorRT, vLLM, etc.
  • Familiarity with multimodal AI.
  • Experience with model interpretability and explainability tools.
Perks:
  • Stock options
  • 100% medical, dental, and vision coverage for you
  • Partial medical, dental, and vision coverage for dependents
  • Unlimited PTO
  • Social events ranging from book clubs to game nights and Mario Kart parties, to happy hours and hiking.

Job Details

Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.

Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.

This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI. 

En tant que développeur MLOps chez Coactive AI, vous jouerez un rôle crucial dans la conception, la construction et la maintenance de notre infrastructure ML.  Vous travaillerez en étroite collaboration avec les chercheurs scientifiques, les ingénieurs ML, les ingénieurs logiciels et les gestionnaires de produits afin de rationaliser le processus de développement et de déployer et surveiller les modèles d'apprentissage machine en production.  Vous travaillerez avec l'équipe Platform Engineering pour déployer et maintenir l'infrastructure et les processus CI/CD soutenant nos initiatives ML, et appliquez votre compréhension de la ML, et des outils et technologies ML, aux efforts d'optimisation continue.



Ce que vous ferez:

  • Améliorer l'efficacité des processus de développement ML et de déploiement de modèles.
  • Vous serez en mesure de mettre en place et de gérer des outils de service de modèles, des stratégies de mise à l'échelle et des ressources de calcul.
  • Construire une infrastructure ML évolutive à l'aide de services gérés et d'outils Cloud Native.
  • Collaborer avec les data scientists et les ingénieurs logiciels pour améliorer l'intégration de la ML dans notre plateforme et nos applications.
  • Optimiser les performances des modèles et concevoir des graphes/flux d'inférence.
  • Mettre en œuvre des outils d'observabilité appropriés pour évaluer les opérations de ML sur l'ensemble de la plateforme.



Ce que nous recherchons:

  • Vous êtes titulaire d'un baccalauréat ou d'une maîtrise en informatique, en science des données ou dans un domaine connexe.
  • Plus de 5 ans d'expérience et de maîtrise des langages de programmation tels que Python, Java ou C++.
  • Familiarité avec les frameworks d'apprentissage machine et les pratiques ML Ops.
  • Expérience des plateformes cloud telles que AWS, Google Cloud ou Azure.
  • Solide compréhension des technologies de conteneurisation et d'orchestration comme Docker et Kubernetes.
  • Expérience avec des outils de surveillance tels que Datadog, NewRelic, ou similaires.
  • Solides compétences en résolution de problèmes et souci du détail.
  • Qualifications préférées:
    • Expérience avec les bases de données vectorielles, RAG, la similarité et la recherche sémantique.
    • Expérience avec des frameworks ML de haute performance comme ONNX, TensorRT, vLLM, etc.
    • Familiarité avec l'IA multimodale.
    • Expérience des outils d'interprétabilité et d'explicabilité des modèles.


Ce que vous pouvez attendre de nous:

Il s'agit d'un poste hybride basé à Montreal, Quebec

Le salaire de base annuel estimé pour ce poste se situe entre *153 000 $ et 200 000 $ CAD.

Chez Coactive, le salaire en espèces n'est qu'une partie de notre programme de rémunération totale. Les autres avantages liés à ce poste sont notamment les suivants

  • Des primes en actions
  • Couverture médicale, dentaire et visuelle à 100 % pour vous
  • Couverture médicale, dentaire et visuelle partielle pour les personnes à votre charge
  • PTO illimité
  • Des événements sociaux allant des clubs de lecture aux soirées de jeux de société et aux parties de Mario Kart, en passant par les « happy hours » et les randonnées pédestres.

En outre, vous pouvez vous attendre à ce que nous vous offrions un environnement de travail favorable. Nous construisons des produits, mais nous développons des personnes. 

Rejoignez-nous pour révolutionner la façon dont les entreprises exploitent la puissance de l'apprentissage automatique pour libérer le potentiel des données non structurées. Si vous êtes passionné par l'innovation et l'offre d'expériences client inégalées, nous serions ravis de vous compter parmi nous.

 

*La rémunération réelle dépend du parcours professionnel, de l'expérience, des compétences et des qualifications du candidat, ainsi que de la demande du marché et des exigences de l'entreprise. Cette fourchette de rémunération est susceptible d'évoluer et d'être modifiée à l'avenir. Les informations relatives au salaire, aux autres rémunérations et aux avantages sociaux sont exactes à la date de publication du présent avis.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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