ClickUp is hiring a Staff/Senior Data Engineer to define and drive the technical roadmap for their data platform, build scalable data pipelines and AI/ML infrastructure, and lead cross-team technical initiatives. The role requires expertise in AWS serverless services, Snowflake, dbt, Terraform/CDK, SQL, Python, orchestration frameworks (Airflow/Dagster/Prefect), streaming architectures, and CI/CD, with responsibility for reliability, cost optimization, and mentoring senior engineers.

Remote EMEA role within Forward Deployed Engineering focused on AWS-based ML/GenAI architectures (including Amazon Bedrock and SageMaker), cloud cost/reliability/security optimization, MLOps, and converting field work into reusable patterns and DCI product contributions. Requires 4+ years architecting, deploying, and managing cloud-based AI/ML solutions and hands-on AWS experience.

Senior Cloud Architect in DoiT's Forward Deployed Engineering Delivery team responsible for designing, deploying, and optimizing production ML/GenAI workloads on AWS (including Amazon Bedrock and SageMaker). Focus areas include cost efficiency, reliability, security, MLOps, and converting field work into reusable patterns and product feedback (DCI). Requires 4+ years of relevant cloud AI/ML experience and strong hands-on AWS expertise.

DoiT seeks a Senior Cloud Architect (Forward Deployed Engineering, Delivery) to lead hands-on design and implementation of ML/GenAI workloads on AWS, drive cloud optimizations (cost, reliability, security), convert field work into reusable patterns and DCI product feedback, and operate as an embedded technical partner on account teams. Requires 4+ years architecting and managing cloud-based AI/ML solutions and hands-on experience with AWS services such as SageMaker and Bedrock.

Embedded in Forward Deployed Engineering, this role leads architecture and hands-on delivery of ML/GenAI workloads on AWS (including Bedrock and SageMaker), focuses on cost, reliability, security and observability, converts field work into reusable patterns and contributions to DoiT Cloud Intelligence, and partners with account teams to improve customer outcomes and platform adoption. Requires 4+ years architecting and operating cloud AI/ML solutions.

Join DoiT as a Senior Cloud Architect within the Forward Deployed Engineering (FDE) Delivery team. The role focuses on hands-on design and implementation of production ML/GenAI workloads on AWS (with multi-cloud awareness), improving cost, reliability, security, and observability, and converting field work into reusable patterns and product feedback. Requires 4+ years architecting and managing cloud-based AI/ML solutions and strong experience with AWS services such as Amazon Bedrock and SageMaker. Remote in the UK, Ireland, Estonia, Sweden, the Netherlands, Israel; contractor options in Eastern Europe and Portugal.

Join the Forward Deployment Engineering team as a Senior Cloud Architect delivering hands-on design and implementation of ML and Generative AI solutions on AWS. You will work with customer account teams to improve product adoption and cloud health through cost optimization, reliability, security, automation and observable architectures. The role requires 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions and expertise with AWS services such as SageMaker and Bedrock, plus strong skills in MLOps, CI/CD, infrastructure as code, and cross-functional collaboration.

This remote Senior Cloud Architect role within DoiT's Forward Deployed Engineering team leads design and implementation of ML/GenAI workloads on AWS, advises customers on cost, reliability, security and performance, and turns field solutions into reusable patterns and product feedback. The position supports customers across the UK, Ireland, Estonia, Sweden, the Netherlands, Israel and contractors in parts of Europe, and requires hands-on AWS and ML/GenAI expertise (4+ years).

Design and implement a high-performance, cross-platform endpoint AI/model delivery framework for the Falcon sensor; collaborate with data scientists, security researchers, and endpoint engineering; optimize resource utilization and define testing approaches. Hybrid role based in Toronto, Canada (remote until office opens). Canadian-based employment; candidates must be legally entitled to work in Canada.

Join Hopper's Fintech Foundation as a Senior Software Engineer to design, build and evolve machine learning systems that power real-time pricing across partners. Responsibilities include implementing automated training pipelines, building ETL and feature engineering flows, deploying and monitoring production ML pricing solutions, and running champion-challenger experiments. The role expects 5+ years of relevant experience and proficiency in Python, Scala and SQL.

Customer-facing engineering role focused on designing, building, and operating production AI solutions that integrate Remote’s platform with customer systems (APIs, webhooks, data pipelines, agentic workflows). Responsibilities include technical discovery, architecture and implementation, deployments (reliability, observability, incident response), and developing evaluation/guardrails for AI behavior. Role is remote (NORAM) with ~10% travel.

Join Pindrop's Fraud Research team to develop and deploy applied machine learning for fraud and scam detection across voice, IVR, behavioral and metadata signals. Responsibilities include building risk models and scoring systems, analyzing fraud patterns, supporting investigations, and moving research into production. Requires an advanced degree or equivalent and 3+ years' relevant experience, strong Python skills, and experience with ML frameworks such as PyTorch or TensorFlow. US-remote.

Work on auction, bidding, pacing, budget allocation and marketplace-quality systems for Reddit Ads, owning projects end-to-end from formulation through production and experimentation. Requires 3+ years (IC3) or ~5+ years (IC4) building and operating production ML systems; strong software engineering and experience with data processing (Spark, Kafka, BigQuery, Airflow) and low-latency decision systems.

Senior technical role requiring 9+ years of experience in machine learning and AI. Responsibilities include designing ML/AI architectures, translating business use cases into technical designs, reviewing and defining scalable/extensible solutions, conducting POCs, and guiding developers. Required skills include Python or R, Pandas/NumPy, SQL, deep learning frameworks (TensorFlow, PyTorch, JAX), scikit-learn, MLOps tools (MLflow, Kubeflow), Docker/Kubernetes, LLMs and prompt engineering, generative AI techniques (GANs, VAEs, RAG), multi-agent systems, cloud/big-data experience, and familiarity with AI ethics. Bachelor's or master's degree in computer science, IT, or related field.

Lead design and delivery of AI/ML solutions (NLP, machine vision, generative AI, LLMs), translate business requirements into technical architectures, define non-functional benchmarks, and guide implementation and deployments on cloud and big-data platforms. Requires 11+ years experience, strong Python/R and SQL skills, proficiency with deep learning frameworks (TensorFlow, PyTorch, JAX), MLOps tooling (MLflow, Kubeflow, Docker, Kubernetes), experience building AI agents/multi-agent systems, and familiarity with AI ethics and responsible AI.

Senior technical leadership role responsible for designing and delivering data science and ML solutions. Requires 11+ years of experience with predictive modeling, statistical and time-series analysis, optimization techniques (LP/IP, genetic algorithms, RL), NLP and generative AI (RAG, LangChain, Llama Index), Python/R and libraries (Pandas, NumPy, Scikit-learn), cloud deployment (GCP preferred; AWS/Azure), and MLOps practices. Responsibilities include translating business requirements into technical design, defining architectures and non-functional guidelines, conducting POCs, reviewing designs, and guiding developers.

Lead Cloudera’s AI industry solutions for Financial Services by translating R&D into sales playbooks, technical reference architectures, and prototypes. Support Sales, R&D, and customer retention through technical evangelism, value engineering, and thought leadership; requires 10+ years in Financial Services and hands-on AI/ML engineering experience.

NVIDIA is hiring a Senior ML Compiler Engineer to design, implement, and optimize ML/DL compilers, build LLM inference kernels and attention runtimes, and collaborate with software and hardware teams. Requires a Bachelor’s degree (MS/PhD preferred), 6+ years experience in machine learning systems/compilers, strong Python and C/C++ skills, and experience with frameworks such as PyTorch/JAX. Base salary range listed: 184,000–287,500 USD per year.

Coforge (Encora) is hiring a Mid AI Engineer based in Peru (remote). The role requires 5+ years in AI/automation/bots (and 3+ years in enterprise environments), hands-on experience with Copilot 365, Copilot Studio, GitHub Copilot, Azure AI Foundry and RAG, plus knowledge of REST APIs, event-driven architectures, Azure Functions/Logic Apps and Python or JavaScript. Responsibilities include designing and optimizing AI agents and conversational flows, defining prompting and governance standards, orchestrating LLM integrations, ensuring scalability, security and compliance, and leading measurement and adoption of AI solutions in production.

Coforge busca un Fullstack Semi Senior con enfoque en Inteligencia Artificial Generativa para desarrollar agentes, copilotos y aplicaciones end-to-end en GCP (Vertex AI, Gemini, Cloud Run). Requiere 3–5 años de experiencia en producción, dominio de Python y React/TypeScript, experiencia con BigQuery, Docker, RAG y prácticas de seguridad y testing.