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Senior engineer building Gemini/Vertex AI and RAG services in Python for Federal and DoD programs — from experiments and deployment packages to production monitoring — while supporting RMF/FedRAMP authorization and mentoring teammates. Active Secret clearance is required; hybrid or remote with ~10–25% customer-site travel.
Oversee data labeling quality and methodology for machine learning models at a cybersecurity-focused insurtech company, managing vendors and tools like Label Studio to ensure accurate, production-ready datasets.
Builds control-plane and health-management software for Google's TPU AI infrastructure: designing hardware-telemetry-based diagnostics, failure-detection analytics, and repair workflows integrated with TPU clusters and Google Cloud. Core stack is Go with distributed systems work, plus C/C++.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft…
Senior ML Engineer to technically lead the first cycle of CI&T's B2B personalization capability: exploring behavioral/commercial data of enterprise accounts, building clustering, embedding, and propensity/recommendation models, shipping sandbox prototypes, and designing experiments (A/B, causal inference, uplift) to prove impact. Core stack: Python, advanced SQL, data pipelines, LLMs/agentic AI (M
Sr. AI/ML Engineer at MetroStar Systems supporting a large data project for a highly cleared (government) customer, working in an agile team alongside developers and data engineers on AI/ML solutions.
Rapport IT is hiring a Senior Python Developer (locals only) in Rowlett/Dallas to join a business support team building and maintaining automation solutions for automotive multimedia systems. Day to day involves implementing code changes, testing, debugging, and supporting tool users alongside a lead developer.
Architect and build Cloudflare’s next-gen AI/ML platform, unifying traditional ML and generative AI systems, including LLMs and autonomous agents, while driving end-to-end production infrastructure and cross-team collaboration.
Designs and optimizes machine learning models for Cloudflare’s global inference platform, focusing on low-latency serving, reliability, and performance across GPUs and accelerators.
Leads design, build, and deployment of enterprise AI solutions at Cognizant, working with LLMs, agentic AI, and RAG architectures — including scalable workflow orchestration, memory/state management, and evaluation of AI systems for quality, hallucinations, and regression.
Senior Machine Learning Engineer at HelloFresh in Toronto builds and scales AI-driven marketing systems, including predictive models, LLM orchestration, and high-throughput data pipelines using Python, PySpark, and cloud platforms.
Senior ML engineer building drone-detection models that fuse audio, image, and radio signals, then deploying them to edge devices and bare-metal hardware in the field. Works end-to-end from data to production using Python, neural network frameworks (PyTorch/TensorFlow), cloud, containerization, and MLOps.
Senior ML Engineer who designs and implements data processing pipelines, develops ML solutions, and deploys models to production. Day-to-day work centers on Python, cloud services, databases, and DevOps practices within modern data initiatives and a team-oriented culture.
Mid/senior Machine Learning/MLOps engineer position at RITS Group, an IT services company delivering software development services to Polish and international clients. The posting gives no day-to-day detail beyond the title; the role centers on ML and MLOps engineering.
Designs and builds a cold-start Bayesian knowledge-tracing engine that maps learner competencies to next steps, using probabilistic models and LLM pipelines to process unstructured data.
Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
Trinnex is hiring a Senior AI/ML QA Engineer to lead validation, testing, and monitoring of production AI/ML models, ensuring they are accurate, explainable, and compliant while collaborating with Data Science, MLOps, Consulting, and Governance teams. Core stack: Python, SQL, Git, ML frameworks, Docker/Kubernetes, and GCP.
Leads validation, testing, and monitoring of production AI/ML models for Trinnex's smart water-management products: building automated test frameworks, tracking drift, assessing explainability, and writing validation reports. Stack includes Python, SQL, Git, geospatial tools, MLflow/pytest-style frameworks, and Docker/Kubernetes on GCP.
Designs, develops, and deploys computer vision and deep learning algorithms for real-time underwater perception in aquaculture — detection, tracking, segmentation, and 3D reconstruction — optimizing models for edge hardware (Jetson/GPU) with Python, C++, PyTorch, and TensorRT while collaborating with software, hardware, and marine science teams.
Senior ML engineer joining a deliberately small frontier AI team inside a major global travel business in Brisbane, building production agentic/multi-agent systems — orchestration, MCP, retrieval, ranking and evaluation — and taking prototypes to live traffic. Requires 5+ years shipping production ML/AI, strong Python and full Australian working rights.
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