Senior AI/ML Engineer

November 3

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Lazer Technologies

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eCommerce • Fintech • SaaS

Lazer Technologies is a company specializing in building world-class digital products, with a strong focus on engineering within the Shopify ecosystem. They collaborate with a wide range of clients, including many startup companies that have raised significant funds, to deliver high-quality engineering solutions efficiently and effectively. The company prides itself on its ability to simplify complex projects, adhere to timelines, and immerse itself within client teams to ensure success.

51 - 200 employees

🛍️ eCommerce

💳 Fintech

☁️ SaaS

📋 Description

• Engage with clients to understand their problems, needs, goals, and technical environments. • Architect and build scalable AI systems from data ingestion to model training to serving and monitoring. • Apply best practices in MLOps or LLMOps, including testing, monitoring, and reliability. • Build and integrate AI services and APIs into applications, collaborating closely with product and full-stack teams. • Design and build scalable data pipelines and data lakes as needed. • Conduct experiments, analyze results, and iterate quickly to maximize model and system performance. • Communicate tradeoffs and risks transparently, supporting client decision-making. • Collaborate with other engineers and cross-functional teams to deliver impactful results. • Stay current with the latest AI trends, technologies, and tooling to bring innovation to your projects.

🎯 Requirements

• At least 6 years of experience as a Machine Learning or AI Engineer working with Python, JS/TS, Go, or similar languages. • Comfortable working with frameworks such as PyTorch, TensorFlow or similar frameworks and ecosystems. • Comfortable operating across cloud environments (AWS, GCP, Azure) and leveraging tools like Vertex AI, SageMaker, or Databricks. • Proven ability to architect, build, train, and deploy production-grade AI models. • Hands-on experience building or integrating AI-powered features (e.g., RAG, recommendation systems, semantic search, predictive analytics, etc.). • Strong understanding of machine learning and neural network architecture, including data preprocessing, model evaluation, and serving at scale. • Strong knowledge of MLOps/LLMOps best practices, including monitoring, CI/CD for ML, and production deployment. • Experience building and maintaining scalable data infrastructure (e.g. data pipelines, feature stores, and data lakes). • Strong understanding of software engineering fundamentals. • Track record of translating complex AI concepts into practical client solutions, ideally in consulting or fast-moving environments. • Proven experience working in a consulting or client-facing role with the ability to manage client expectations and timelines.

🏖️ Benefits

• Work From Anywhere: Choose your workspace — all you need is strong wifi and a passion for building! • Work / Life Balance: We believe in our team’s ability to have it all; a great career, and time to unplug and live…you know...life. • Employee Care: We provide full benefits (healthcare, dental, vision) for our employees (401k for our US employees) • Unlimited PTO: Everyone needs a break. Take at least 15 days off a year, and more if you need—just be cool about it and keep the team in mind. • Regular Team Retreat: Join us for a week of team bonding at amazing destinations. Recent trips include the Dominican Republic, Cancun, and Hawaii — plus ones welcome.