🥁 Union.ai just opened a new roll and we would love to hire someone from our Flyte community for this one! flyte 2 If you have a Data or Software Engineering background with a proven record of debugging code, a deep understanding of cloud technologies + containers and ML/data infrastructure, and you obsess over the customer experience, this could be a great role for you. Apply or DM me directly - tessa@union.ai • Support Engineer, Tier 1

Hey to all, I have an opening for a AI founding engineer for an HRtech product. If interesting please apply directly through the link or distribute among your network. Please apply directly through the link and provide salary expectations. (Competitive package between salary and equity) On site - San Francisco, California https://goldhire.app.loxo.co/job/MjM4NDcta2hrdWh2bmkxMng4ZnZiMA==?t=1723412813305

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Hsinchu/AI-Algorithm-Software-Engineer_JR1984761?q=JR1984761 in Taiwan

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Multiple positions open by the fine folks at Datology AI https://jobs.ashbyhq.com/DatologyAI

👋 Hello, team!

I am hiring a Data/Platform Engineer.

The Opportunity:
Join Conversion Logix as a Data Engineer, where you will play a pivotal role in building robust, goal-driven data pipelines and workflows that support our internal services and products. Your work will include designing, implementing, and maintaining scalable, fault-tolerant data pipelines, integrating third-party tools into a cohesive, scalable platform, and ensuring data governance and integrity. As a key member of our Data Intelligence Team, you will collaborate closely with data scientists, machine learning engineers, and cross-functional teams. We are committed to supporting your growth into becoming a leading expert in the data engineering field.

Who We Are:
Conversion Logix is a marketing and technology company dedicated to generating leads, appointments, and sales for multifamily housing, senior living, automotive dealerships, and local businesses. Our new Data Intelligence Team is focused on developing internal services and products that drive business growth and efficiency. We foster a collaborative environment where creativity and technical excellence are valued and encouraged.

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Hey to all, I’m looking for a next role as product manager, ideally in blockchain + AI. Any referrals or suggestions are welcomed. Thanks!

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Hi, My name is Olaf Kaminski, and I'm from Poland. I am a Full Stack Developer with 7 years of experience in Building Web and Mobile based Applications, Integrating Third-Party APIs and Designing Database. * What I do * 💎 UX/UI Design 💎 SAAS Development 💎 Startup Development 💎 MVP Development 💎 Web App Development 💎 Mobile App Development 💎 Solutions Architecture 💎 Integrations 💎 Migrations 💎 Support My skill is like following: 💎 Front-End: React, Angular, HTML, CSS, JavaScript. 💎 Back-End: Node, Java(Spring Boot), PHP(Laravel). 💎 Third Party API: Twilio API, Google API, Stripe API, Booking API. 💎 Database: Firebase, MySQL, MongoDB, PostgreSQL. Feel free to contact me or invite me to your amazing work.

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Anyone highly skilled in Flyte running on microk8s cluster with pyflyte running running on VM, please DM me. This is not really a freelancing task but I will pay you if you get my workflows registered! I am using microk8s 1.32, Ubuntu 22.04 VMs. Please feel free to DM me if you are interested. Thanks!

Hey folks - at artera.ai we are hiring for the following positions: • AI Platform MLE - aws/k8s/terraform/Union/Flyte experience (https://jobs.lever.co/artera/74bf7cbb-1e58-49ac-a34c-41675983527b) • Data platform SWE - aws/k8s/terraform/python/sqlalchemy experience (https://jobs.lever.co/artera/80c3a6f2-d1d3-450f-941c-cac2d719ebd0) • Senior full-stack Dev - Python/React experience (https://jobs.lever.co/artera/1da2c0c1-d450-4c0d-85cd-542d5e54e340)

<!here> folks, we at Union are hiring for multiple roles. If you are passionate about Flyte and ML Ecosystem and want to come work with a small but strong team that builds the future of OSS ML/AI orchestration, come join Union or DM me

If folks are interested -> https://www.jobs.hrhouz.com/stealth/vHr7xekLUa Founding Engineer (AI LegalTech Startup) Stealth AI LegalTech Startup (Backed by Neo) - Build AI systems lawyers will actually trust. They’re in stealth, building AI-powered tools for litigation. They’ve secured initial funding and are part of the Neo 2025 cohort. Design partners are interested and onboarding. They’ve built a prototype (i.e. the core AI features are ready) - now it’s time to turn it into something scalable, reliable, and fast - and are seeking founding engineers. - Powered By HRHouz

Hi Flyte community! 👋 I’m James, Head of Engineering at Elicit (I’ve also led/advised ML & Engineering teams at Outschool, Spring, and Square). Posting here because I’m excited to be hiring Elicit’s first Data Engineer! Elicit is an AI research assistant built for professional researchers and high-stakes decision makers. Instead of just producing LLM slop in a chat bubble, Elicit helps users break down hard questions, gather evidence from scientific/academic sources, and reason through uncertainty. We use Flyte and PySpark to orchestrate our ML pipelines that process a couple hundred million academic/research papers: you will initially own and improve this infrastructure. Moving on from there, you’ll figure out how we can scale our data platform to ingest other structured and unstructured documents, spreadsheets and presentations, and rich media like audio and video. We also need your help with ML-adjacent tasks like preparing datasets for fine-tuning our models. Big picture, your work will help accelerate data ingestion, enable secure enterprise integrations, extend Elicit to work over any kind of data corpus, and more. We’re a small Series A company (about 20 people so far), building AI systems that push the boundaries of how LLMs can be useful. We’ve been thinking about harnessing powerful AI since even before GPT-1 was trained. We need engineers who care about making AI more useful, trustworthy, and aligned with how people actually make tough decisions. I’ll add more information about Elicit in the thread. If you're interested in applying your Flyte expertise to help build AI systems that accelerate scientific progress, please check out the job description—I’m happy to answer any questions or discuss how we’re utilising Flyte in our stack! Best, James

Hello All, I am @salmon-flower-36598, VP Engineering at Pathomiq (http://www.pathomiq.com). We develop AI/ML models to detect cancer, using digital pathology. We are hiring for both MLOps and ML Engineers. Please see job descriptions below. All our positions are fully remote. Please reach out to me if interested. Pathomiq is an AI-powered precision oncology company developing diagnostic and prognostic tools from histopathology images. Our platform leverages advanced deep learning and unsupervised phenotyping to discover clinically relevant biomarkers and predict patient outcomes across multiple cancer types. By integrating spatial tissue morphology with genomic and transcriptomic data, we enable more informed treatment decisions and unlock novel insights into tumor biology. Pathomiq’s models are designed for transparency, scalability, and regulatory readiness—bridging the gap between cutting-edge research and clinical application. We are seeking a Machine Learning Engineer to support the deployment, automation, optimization, and scaling of machine learning models developed by our AI science team. In this role, you will be responsible for integrating models into production systems, improving performance, and ensuring reliability at scale. You will work closely with AI scientists, software engineers, and infrastructure teams to operationalize cutting-edge models. Responsibilities • Implement, optimize, and maintain machine learning models designed by AI scientists. • Contribute to the development of computer-vision based preprocessing algorithms. • Develop efficient data pipelines for model training, evaluation, and inference. • Integrate models into cloud-based or on-premises production environments. • Monitor model performance and proactively address issues like drift, latency, or scaling bottlenecks. • Work with DevOps and MLOps tools to automate model deployment, testing, and updates. • Collaborate with AI scientists to refine model outputs for production readiness. • Maintain model versioning, tracking, and reproducibility across environments. • Requirements • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. If holding a Bachelor’s degree, more industry experience will be expected. • Strong programming skills in Python and familiarity with ML frameworks like PyTorch. • Experience deploying machine learning models into production environments (REST • APIs, batch inference, streaming). • Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). • Understanding of model monitoring, retraining triggers, and A/B testing methodologies. • Strong problem-solving and communication skills. • Ability to collaborate effectively with research scientists and engineering teams. • Preferred Qualifications • Experience with MLOps tools and practices (MLflow, SageMaker, Vertex AI Pipelines). • Knowledge of performance optimization techniques (model quantization, pruning, GPU acceleration). • Experience with MLOps tools and practices (MLflow, SageMaker, Vertex AI Pipelines). • Proficient with data engineering tools (Pandas, SQL, Spark) and workflow orchestration (Flyte, Ray, etc.). • Knowledge of performance optimization techniques (model quantization, pruning, GPU acceleration).