• Own the research-to-production pipeline • Partner directly with research scientists to productionize new models • Build and extend the tooling and abstractions • Design and own model release gates • Optimize models and serving for production • Strengthen the build and delivery layer for models • Establish benchmarking and validation • Build the feedback loop

• Build and iterate on consumer-facing AI features powered by large language models (LLMs) and related generative AI systems • Collaborate with engineers across the AI engineering stack — prompt engineering, agentic workflow optimization, evaluation and more • Run structured experiments (e.g., A/B tests, offline evaluations) to measure impact on engagement, quality, and trust metrics • Partner closely with product and engineering to translate user needs into scalable AI-powered solutions • Strengthen model reliability through monitoring, guardrails, quality analysis, and failure mode investigation • Optimize the latency, cost, and scalability of production AI systems

Role Description Building the machine learning production System (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients. Responsibilities - Leader for MLOPs in the AI@Scale practice. - Architect and execute technology projects across client AI and Engineering engagements. - Build trusted relationships with middle and senior management across lines. - Support client projects, lead solution design, and contribute to overall MLOps engineering using on-premise (open-source) or cloud-based (AWS) architectures. - Act as a subject matter expert in machine-learning model deployment and MLOps pipelines. - Research and evangelize the use of GenAI, data-science, and engineering solutions for strategic decision-making. - Articulate business value and benefits of technological solutions to senior business and technology partners. - Research, design, and implement leading-edge MLOps architecture patterns to solve hard problems for clients. - Lead client delivery engagements and develop detailed business cases, product roadmaps, and financial justifications. - Implement AI and engineering processes and governance methods to manage delivery risk. - Help clients define and design AI-based solution architectures. - Provide thought leadership in enterprise-grade machine-learning operations and modern cloud adoption patterns. - Develop product roadmaps and help clients prioritize based on business objectives and impact. Qualifications - 15+ years of experience building engineering and data-science businesses across various technologies. - Deep technical skills along with strong client and market orientation. - Experience or expertise in building and deploying machine-learning pipelines. - Experience or expertise in cloud-based and hybrid deployments. - Experience with Model repository (either of): MLFlow, Kubeflow Model Registry. - Experience working across all phases of model development lifecycle to build MLOPs components. - Experience with cloud-based technologies (AWS). - Experience building production-grade LLM based solutions. - Visionary with experience in building large production systems. - Prior experience engaging with CXOs of client companies. - Client service orientation with the ability to work with client leadership to develop solutions. - Exhibits high learning orientation and stays abreast of industry/technology trends relevant to AI and machine learning. Education - B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: $140,000 - $205,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits - Eligible for health, dental, vision, life insurance, and disability plan from the first day of employment. - Eligible to participate in the Company 401(k) Plan after 30 days of employment. - 11 paid holidays and 12 weeks of Parental Leave. - “Free time” PTO policy for sick time or vacation.

Role Description The open-source ML leader serves as a bridge between Ideogram’s internal research teams and the broader AI ecosystem. This person will be tasked with turning foundational research into usable, high-quality public tooling, while actively growing and maintaining a healthy developer community. - Open-Source Strategy: Define and execute a vision for releasing open model weights, methodologies, and code. - Community Leadership: Oversee GitHub and Huggingface repositories. - Advocacy & Outreach: Champion open science by building open source demos (e.g. implementing lora fine-tuning for our models), writing technical blogs, answering questions from the community, and presenting at conferences. - Ecosystem Collaboration: Partner with model providers, internal engineers, and external contributors to push AI accessibility forward. - Research-to-Release: Convert internal, proprietary implementations into polished open-source code, ensuring quality, reproducibility, and ease of use for the community. Qualifications - Advanced degree or equivalent research experience in Machine Learning or Deep Learning, or a related field. - Uses personal and professional platforms to amplify open research initiatives and invite collaboration. - Strong hands-on experience in Python and ML research libraries such as PyTorch, JAX, or TensorFlow. - Familiarity with LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback). - Experience publishing research or working on open-source projects in ML, computer vision, or NLP. - Excellent communicator who enjoys engaging with the developer and open source community. - Passion for open source projects and community-driven research/tooling. - Great communication skills. - Willing to dive into things quickly, pick up new tools from the open source community, and enjoys exploring new ideas. Benefits - 💸 Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. - 🌴 4 weeks of vacation to recharge and explore. - 🩺 Comprehensive health, vision, and dental coverage starting on day one. - 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. - 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. - 📍 Toronto HQ perks: Steps from Union Station and the PATH, with daily in-office lunches and dinners. - 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. - 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.