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ENGENHEIRO(A) DE IA JUNIOR
Junior AI engineer at Agricopel, a petroleum derivatives trading company in Jaraguá do Sul, Brazil (on-site, CLT). Day to day: building and testing generative AI solutions — prompts, agents, integrations and APIs — preparing data, running quality/security tests, and supporting AI apps in production. Core stack: Python, SQL, Git, LLMs, RAG.
Engineering Manager, Weave - W&B
Leads the Enterprise engineering team for Weave, CoreWeave/W&B's AI observability platform, owning technical direction, delivery, and operational health of high-scale agent tracing, evaluation, and monitoring services for large enterprise customers. Day to day is people management, roadmap, SLAs/SLOs, single-tenant deployment operations, and partnering with sales.
Account Solutions Architect
Solutions architect at CoreWeave, an AI cloud, acting as the technical partner to Korean/APAC customers — leading PoCs and technical evaluations with Sales, then advising customers as they train, deploy, and scale AI on CoreWeave's GPU infrastructure and MLOps/inference stack. Requires Python, hands-on LLM/deep-learning experience, MLOps/LLMOps, and English + Korean fluency.
Senior Account Manager
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…

Forward Deployed AI Engineer (m/f/d)
Forward Deployed AI Engineer at Agile Robots in Munich: train, fine-tune, and deploy AI models on real customer robots — Vision-Language-Action models, diffusion policies, perception and grasp-generation networks — while building data pipelines, optimizing inference on edge hardware, and supporting deployments on-site (up to 40% travel).
Senior Software Engineer, Infrastructure Platform
By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and…
Platform Engineer 2 (m/f/d)
Platform engineer on the Data & AI platform team building and running an internal AI platform on Microsoft Azure: provisioning infrastructure with Terraform, operating Kubernetes and Azure Databricks via GitOps and CI/CD, and enabling other teams to deploy, monitor, and scale AI workloads.
Site Reliability Engineer
Site Reliability Engineer at IMC Trading in Aarhus keeps the firm's proprietary low-latency trading platform stable and releasable daily: troubleshooting production issues at root cause, coordinating trading-software changes, and building solutions with traders and engineers. Core stack: Python, Bash, Kubernetes, Linux, database querying and TCP/IP.
AI Engineering Manager
Engineering manager at TechWolf, an enterprise skills-intelligence platform where AI is the core product, leading two AI teams (Agents and Inference). Primarily people and delivery work: hiring, coaching team leads, setting AI engineering standards (evals, MLOps, LLM cost control), and reviewing architecture. Hybrid from Ghent, Belgium, 3+ days/week.
Data Scientist
A data engineering-focused role (posted under a Data Scientist title) designing and delivering large-scale cloud data pipelines and warehouse/lakehouse solutions for airline clients. Day to day: Databricks, Spark/PySpark, Delta Lake, Snowflake, AWS/Azure, Python/SQL/Scala, Airflow, MLflow and BI tooling.
Senior Data Engineer
Amach, an aviation-focused technology company, is hiring a Senior Data Engineer in Bucharest to design and build complex data pipelines and data warehouse/lakehouse solutions for airline clients, working with Databricks, Spark, Snowflake, Python/SQL/Scala, AWS and MLOps tooling like MLflow and Airflow.
Forward Deployed Software Engineer
Forward Deployed Engineer in Chennai who sits with clients and product leaders to turn ambiguous healthcare AI problems into shipped, production software. Builds fullstack agentic apps end-to-end with Python/TypeScript, LLM agents (LangGraph, MCP, Claude/OpenAI), RAG, and cloud deployment on AWS/Azure.

Senior Staff Machine Learning Engineer
Senior Staff ML Engineer at Netradyne (fleet safety via computer vision and edge computing) in Bengaluru: owns end-to-end architecture of large-scale cloud ML systems — data ingestion, feature/ETL pipelines, training infrastructure, model serving, monitoring and retraining — using Python, AWS, Gen-AI/LLMs and agentic AI, while setting engineering standards and mentoring senior engineers.

Associate Director, Biostatistics & AI
Lead biostatistics and AI integration for clinical trials, designing statistical methods and embedding AI/ML tools into regulated biopharma workflows while ensuring GxP compliance.

Senior MLOps Engineer - Edge
Build and scale edge ML infrastructure for Hudl’s smart cameras, compiling models to hardware-specific inference engines and deploying them globally to tens of thousands of devices.
ESPECIALISTA ENG. DE MACHINE LEARNING
Machine learning engineering specialist at Banco BBC Digital (Movida's digital bank for the mobility ecosystem) in São Paulo: builds the AIOps/MLOps platform — CI/CD pipelines, batch and real-time model serving, drift monitoring with retraining triggers, and LLMOps infra for generative AI/RAG — while mentoring data scientists. Core stack: Python, MLflow/Kubeflow, Docker/Kubernetes.
Strategic Technical Account Manager (TAM)
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Data Scientist
Data Scientist placed via IT staffing firm Techrytera AB with a client in Stockholm on a fixed-term assignment (Nov 2026 – Jun 2027). Day-to-day: developing and deploying ML and LLM-based applications in the cloud (ideally GCP), with MLOps/CI/CD pipelines, SQL data wrangling, vector databases, and retrieval/prompt engineering.