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Leads a team developing machine learning models to evaluate and improve autonomous vehicle behavior using deep learning, Gen AI, and large-scale simulation systems.
Leads cross-functional programs to integrate simulation into machine learning workflows for autonomous driving, coordinating releases and scaling ML-based evaluation tools.
Develops and maintains petabyte-scale data systems and ML pipelines for autonomous driving foundation models using frameworks like JAX and Flume/Beam.
Build and operate petabyte-scale ML pipelines and infrastructure to train, benchmark, and deploy foundation models for Waymo’s autonomous driving systems using frameworks like JAX and Flume.
Early hire to own a production platform end to end: building and running the web application, database estate, data pipelines, deployments, integrations and the LLM serving stack. A full-time, permanent MLOps / full-stack AI engineering role based in London/Hampshire, UK.
Build and operate internal AI platforms for research and engineering teams — backends, dashboards, CLIs/SDKs, GPU cluster scheduling, and model serving on managed inference and self-operated GPUs. Core stack is production Python, Kubernetes, Slurm, CI/CD, and MLOps/LLMOps tooling, based on-site in San Francisco.
MLOps-style engineer at Camtek (semiconductor inspection) in Migdal HaEmek who turns research ML models into optimized, production-ready components: integrating models, optimizing inference (TensorRT/ONNX, GPU), and building deployment/monitoring infrastructure using Python, PyTorch, and C++/C#.
Machine Learning Engineer at a defense-tech company who owns the training, data, and edge-inference backbone for vision and multi-sensor autonomy models — building data/training pipelines, generating synthetic data, and deploying PyTorch models in real time on Jetson-class embedded hardware.
Staff-level Platform Architect owning AI/ML infrastructure on Google Cloud: building model/inference serving on GKE, Terraform-based IaC, ArgoCD GitOps, ML pipelines, observability/SLOs, and cost efficiency for LLM and agentic workloads. Remote in LATAM (Brazil preferred), EST working hours, paid in USD.
About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through…
Designs and oversees end-to-end AI/ML/GenAI solutions at Rare Food Shop — translating business goals into AI strategy and architecture, integrating models into enterprise systems with DevOps/MLOps, and advising leadership. Uses ML, deep learning, NLP, generative AI/LLMs, and data pipeline technologies. Onsite in Sucat, Parañaque City, Philippines.
Senior Staff Backend Engineer building iFood's AI agents platform — designing APIs, SDKs, MCP Gateway, RAG pipelines, and LLM observability systems using Python, LangChain, Kubernetes, and AWS.
Syngenta's R&D Digital data science team is hiring a Machine Learning Engineer to build and deploy production-grade computer vision and ML solutions that turn drone, satellite, and sensor imagery into digital traits for seed breeding. Day-to-day work spans the full ML lifecycle — model development, cloud data pipelines, MLOps, and monitoring — using Python, PyTorch/TensorFlow, Docker, and AWS/GCP/
Remote Senior Lead AI Engineer (hired via OutForce, a Philippines-based outsourcing firm, working US hours) serving a US engineering/consulting client. Leads end-to-end delivery of enterprise AI/ML — mentoring engineers, owning LLM/RAG architecture, and staying hands-on with Python, PyTorch/TensorFlow, cloud platforms, and MLOps.
CustomerLabs, a B2B SaaS customer data platform, is hiring a Data Engineer in Chennai to build and maintain ETL/ELT pipelines, warehouses, and analytics for high-volume marketing data. Core stack: Python, SQL, GCP (BigQuery, Dataflow), Spark, Kafka, Airflow, and DBT.
Software engineer joining a newly built team at Schwarz Digits to build an AIoT platform that monitors the company's infrastructure and stores — anomaly detection and predictive maintenance on IoT time-series data (e.g. logs, energy usage). Core stack: Kafka/PySpark/Spark Streaming/MQTT, Python, MLOps, cloud architecture and OpenTelemetry observability in an agile team.
Leads product strategy and roadmap for model training and fine-tuning in SeekrFlow, Seekr's end-to-end AI platform: turning ML workflows like SFT, LoRA, DPO/RLHF, dataset management, evaluation, and model promotion into enterprise-ready platform capabilities. Hybrid role based in offices in Austin, TX or Reston, VA.
Designs explainable AI platform interfaces for engineers, scientists, and executives, owning end-to-end workflows and reusable UX frameworks in Figma.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
Senior AI Engineer in EY Ireland's AI Lab in Dublin, building LLM-driven and multi-agent solutions for global clients. Day to day involves developing generative AI/RAG pipelines and agentic systems with Python, Azure OpenAI, LangChain/LangGraph and Hugging Face, deployed on cloud with MLOps tooling.
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