Cloudera seeks an AI Solutions Engineer/Architect to lead technical design and implementation of production generative AI and data platforms for public sector customers on Cloudera Data Platform (CDP). Responsibilities include model selection and fine-tuning, building data pipelines and RAG/vector DB architectures, MLOps/LLMOps, performance optimization, and compliance with government security frameworks. Requires 5+ years experience (with 2+ years in generative AI/deep learning), hands-on experience with Python, PyTorch/TensorFlow/Hugging Face, Spark/NiFi/Kafka, vector DBs, orchestration tools (LangChain, LlamaIndex, Haystack), Cloudera/CDP experience, active Top Secret clearance, and an active CI or FS polygraph. Role is not eligible for immigration sponsorship.

Seeking a senior MLOps/ML platform engineer with 5+ years of production software or MLOps experience to design, build, and scale ML lifecycle capabilities (datasets, features, models, tracking, deployments, monitoring, retraining). Role emphasizes Python, large-scale data/training infrastructure, ML lifecycle frameworks (MLflow/Metaflow/Kubeflow), orchestration (Airflow/Databricks), LLM/agent operationalization, observability, and CI/CD for production AI systems.

Lead design and implementation of scalable data warehouse and lakehouse architectures on Cloudera, define enterprise data models, metadata and governance frameworks, and integrate AI/ML capabilities (LLMs, RAG, vector DBs) into production data platforms. Drive AI governance, metadata, lineage, data quality, and AI-assisted development practices while mentoring teams and collaborating with business stakeholders across Finance and Sales.

Affinity is hiring a Senior AI Engineer for its AI Platform team to design and build LLM-powered systems (RAG pipelines, LLM agents, retrieval and ranking) and scalable ML infrastructure. The role requires 5+ years of software engineering and/or ML experience, hands-on production LLM work, experience with vector/graph databases, embeddings, document chunking, evaluation metrics, and MLOps. Location: Remote (Canada).

Lead and develop a team of data scientists and analysts supporting Product, Marketing, Sales, and Customer Experience. Responsibilities include behavioral analytics, experimentation, forecasting, churn and health scoring, defining measurement frameworks, and partnering with data engineering to maintain an internal analytics platform. Requires 7+ years in data science/analytics, advanced SQL and Python proficiency, and experience with Snowflake and dbt.

Remote (USA) Staff ML Engineer owning the full identity-verification ML stack including computer vision/biometrics models, GNN-based identity-graph systems, behavioral and device-intelligence models, and production enforcement. Requires 8+ years deploying production ML at scale, expert Python and TensorFlow/PyTorch experience, domain experience in identity verification/biometrics/account integrity, and experience translating KYC/AML and fraud requirements into ML roadmaps. Annual base salary range: $218,025–$256,500 USD.

Coinbase is hiring a Senior Machine Learning Engineer (IC5) to architect and deploy a unified orchestration layer that manages state transitions, context sharing, and intent routing between vendor AI, internal multi-agent systems, and humans. The role involves building production-grade Python services, leading end-to-end ML projects, establishing engineering best practices, and mentoring engineers. Requires 5+ years of ML/software engineering experience and hands-on work with LLMs and frameworks such as LangGraph, LangSmith, Vertex AI, or AWS Bedrock. Listed base salary: ₹6,612,600/year.

Design and deliver instructor-led and on-demand technical training, Jupyter-based labs, assessments, and demo environments using Python, AI/ML frameworks, vector databases, and NVIDIA-accelerated pipelines. Requires 6+ years in data and application development and 4+ years in curriculum development, technical training, AI/ML or MLOps.

Safeguard Global is hiring remote Software Engineers to shape a serverless, event-driven platform on AWS. Responsibilities include designing and shipping agentic AI systems, building evaluation frameworks, owning AI features from prototype to production, and managing operational economics of AI. Preferred skills include TypeScript/Node.js, Python, AWS serverless (Lambda, EventBridge, S3, API Gateway), IaC (CDK/Terraform), observability, and experience with RAG/agentic systems.

NVIDIA seeks a Senior Scientist with a PhD or equivalent and 3+ years research experience to build LLM-based synthetic data generation pipelines (text, code, structured, multimodal), maintain open-source SDKs in the NeMo ecosystem, collaborate with model and engineering teams, publish research, and mentor junior researchers.

NVIDIA seeks a Senior Scientist to advance synthetic data generation and privacy-preserving AI within the NeMo ecosystem. Responsibilities include building LLM-based anonymization and synthetic-data methods, optimizing inference (distillation, quantization) for low-latency/high-throughput, maintaining open-source SDKs, driving software engineering practices, and publishing research. Requires PhD or equivalent and 2+ years of applied LLM/NLP research/engineering experience.

Encora/Coforge hiring a Lead Data Engineer (remote, Brazil) to lead design, development, and optimization of cloud-based data platforms and pipelines. Must have strong hands-on experience with Python, AWS, Snowflake, dbt, Airflow, Docker, and Infrastructure-as-Code (Terraform), plus familiarity with LLM/RAG implementations, LangChain, vector DBs and related AI tooling. Responsibilities include collaborating across teams, delivering scalable ETL/ELT pipelines, contributing to AI-driven initiatives, and mentoring/leading engineering efforts.

Role on the AI Platform team responsible for core infrastructure for training, deploying, and serving ML models at scale. Responsibilities include end-to-end model serving, optimizing inference on CPU/GPU, managing GPU training and inference workloads, improving model lifecycle automation, implementing observability, and partnering with product, infrastructure, and security teams. Requires strong Python, cloud production ML experience, and distributed systems knowledge; 4+ years experience (or equivalent).

Work on Mozilla's AI Platform to design, build, and operate core components for training, deploying, and serving ML models at scale. Responsibilities include end-to-end ownership of model serving and inference workflows, optimizing throughput/latency/cost for CPU and GPU workloads, managing GPU training/inference, improving model lifecycle tooling (packaging, versioning, testing, deployment), and implementing observability and incident processes. Requires strong Python experience, production ML systems knowledge, and ~4+ years' relevant experience (Bachelor’s with 4–6 years or equivalent). Salary ranges listed for Canada: Tier 1 CA$128,000–171,000; Tier 2 CA$116,000–155,000.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

Hands-on player‑coach role leading execution of the production photogrammetry pipeline (SfM, MVS, depth estimation, mesh reconstruction) and integrating newer 3D approaches (gaussian splats, foundation 3D models). Requires 7+ years in 3D computer vision/3D ML, production experience at scale, proficiency in C++ and modern ML frameworks, cloud/containerization experience, and experience driving AI/agentic development and observability for production systems.

NEORIS busca un Ingeniero de IA senior para diseñar, desarrollar e implementar flujos de automatización end-to-end, orquestar integraciones vía APIs, incorporar capacidades de IA (NLP, OCR/IDP, GenAI) y desarrollar agentes de IA con frameworks como LangGraph. Requiere experiencia en desarrollo de software, mínimo 2 años en automatización/orquestación de workflows y mínimo 3 años en implementación de soluciones de IA; conocimiento de BPMN o UML, plataformas low-code y cloud.

Posición senior en NEORIS (ahora parte de EPAM) para desarrollar e implementar soluciones de IA (Machine Learning, Deep Learning, RAG/Agentic AI) en un proyecto del sector financiero. Responsabilidades incluyen diseño de soluciones alineadas a negocio, construcción de pipelines RAG, desarrollo de agentes autónomos con frameworks como LangChain, gestión del ciclo de vida de modelos y documentación en Jira/Confluence. Requiere al menos 3 años de experiencia en desarrollo backend y dominio avanzado de Python.

Work on greenfield agentic workflows within the Deep Learning Framework Group to enable autonomous agents to build, test, and optimize code against real GPUs. Responsibilities include partnering with internal engineering teams, designing multi-agent orchestration and LLM-based workflows (e.g., LangChain/LangGraph), integrating with git-native CI pipelines, and applying compiler and hardware-aware optimizations. Requires strong Python skills, experience with AI systems, compiler or code-generation background, and a track record of shipping complex projects. Posted base salary ranges: 184,000–287,500 USD (Level 4) and 224,000–356,500 USD (Level 5).

Work with founding and product engineering teams to prototype, develop, and operate Generative AI features and ML integrations (LLMs, fine-tuning, inference platforms) across backend and frontend. Requires 6+ years' experience and experience with MLOps, TypeScript/JavaScript and either Node.js or React; role includes on-call duties. Remote role for United States candidates; salary range $225,000–$265,000 USD/year.