Alert Media is looking for an innovative and hands-on Sr. AI/ML Engineer with a strong background in applied machine learning and data science to lead the evaluation, training, and integration of advanced AI and machine learning models across our product suiteIn this role, you will help shape our AI strategy by identifying the most appropriate models for our use cases, optimizing their performance through fine-tuning and prompt engineering, and ensuring their responsible deployment within our platformsYou will have the opportunity to show who you are throughout our interview process; we don’t ask any trick questions or expect you to perform a whiteboard exercise. We want to see you shine by showing us work you are most proud of!Train and fine-tune supervised learning models (e.G., classification, ranking, embeddings) for internal tools and customer-facing product featuresLead prompt engineering and testing efforts to fine-tune LLM behavior for specific use cases across the product suiteDesign and implement evaluation pipelines for both LLMs and traditional ML modelsWork with and optimize Elasticsearch-backed data systems that power AI and intelligence pipelinesProactively identify opportunities to improve AI models, data pipelines, and engineering workflows beyond the existing roadmapDevelop tools and frameworks to support prompt iteration, model benchmarking, and performance trackingCoordinate with security team to ensure adherence to AI compliance standardsEvaluate and compare commercial and open-source LLMs (e.G., Open AI, Anthropic, Mistral, Meta, etc.) for performance, cost, alignment, and reliabilityCollaborate with product and engineering teams to integrate AI features in a safe, scalable, and maintainable wayMonitor, evaluate,



and continuously improve the performance of AI and machine learning models in productionStay informed of emerging research in NLP, machine learning, and AI infrastructure, and evaluate potential applications for the businessContribute to Alert Media’s culture, values and vision for the futureBenefits 100& Paid Healthcare: Take advantage of fully paid medical, dental, vision, disability, and life insurance for employees and subsidized for dependents.Bonus: Participate in the company-wide annual bonus based on their collective success.Family Planning: Leverage their 100% paid parental and new child bonding leave—12 weeks off for primary caregivers and 4 weeks off for secondary caregiversPaid Sabbatical: Pursue your interests with six weeks of paid sabbatical leave after six years of service.Tuesday Lunch: Get together for transparent company updates from leadership while enjoying a meal on Alert MediaPTO: Unplug, rest, and recharge with a flexible time off policy that encourages work-life balance without worrying about counting days!Give Back: Join your coworkers in giving back to the Austin community through quarterly volunteer opportunitiesTeam Building and Celebrations: Take part in company celebrations, team buildings,



and peer-nominated value award recognitionYou are an applied AI and machine learning engineer with strong data science fundamentals, deeply curious about what’s possible with large language models and practical machine learning applications You’re a collaborative engineer who thrives in a fast-moving environment, and you’re as comfortable training and fine-tuning models as you are crafting prompts or evaluating model outputs You have a strong understanding of ML fundamentals, but you’re pragmatic in applying the right solution for the problem Familiarity with model evaluation best practices, including offline metrics, cross-validation, and A/B testing The ability and desire to work in a quick-paced challenging environment4–6+ years of experience in data science and/or software engineering, specifically in machine learning engineering, or applied AIExperience working with Elasticsearch or other large-scale search and indexing platforms2+ years of software engineering experience, Python preferred Strong organizational skills and ability to manage working on multiple projects in parallel Proficiency in Python and ML libraries (e.G., scikit-learn, Py Torch, Tensor Flow, Hugging Face)Experience with cloud-based ML tooling (e.G., Sage Maker, Bedrock) and data workflows Experience with prompt engineering, model fine-tuning, and evaluation Demonstrated experience training and deploying supervised learning models, ideally in production environments (a plus)Strong understanding of LLMs and traditional machine learning methods Bachelor’s degree in a technical field such as computer science, computer engineering or related field preferred Ability to work independently and collaboratively on cross-functional teams#J-18808-Ljbffr

📌 Senior Ai/Machine Learning Engineer (Quebec City)
🏢 Alert Media
📍 Quebec City