Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior Data Scientist at Stampli in Tel Aviv who leads end-to-end AI projects on a SaaS AP-automation platform — from data exploration and modeling through production deployment of LLM/ML solutions — while mentoring junior data scientists. Core stack: Python, LLMs/agentic systems, FastAPI, and AWS.
Internal Coupang transfer role: a Staff ML Engineer on the Coupang Media Group Offsite Ads team in Seattle designs and ships machine learning systems for ad targeting, ranking, bidding, and CTR/CVR prediction, using Python/Java, PyTorch, LLMs, and large-scale ML infrastructure.
Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
Software engineer on DoorDash's MDX team building the agentic layer of its ML infrastructure: systems that let AI agents run modeling experiments, auto-research ideas, and self-heal ML pipelines for engineers across DoorDash, Wolt, and Deliveroo. Core work spans backend Python, distributed systems, agent orchestration, evaluation, and observability.
Alice is hiring an Engineering Manager to lead its Data Science group, which builds GenAI safety models (content moderation, automated LLM red-teaming) and the Databricks/Spark data platform behind them. The role is hands-on people leadership: setting technical direction, owning delivery, and growing a team working in Python, Rust, and PySpark on AWS/Kubernetes.
Build production document-extraction systems powered by vision-language models: Python/FastAPI services with PostgreSQL and queues, fine-tuning open-weight VLMs (LoRA/QLoRA), and serving them at scale with vLLM/Triton on GPU budgets. Remote from anywhere, or hybrid from offices in Kyiv, Lviv, or Warsaw.
12-month contract data engineer role at NTT Singapore (Alexandra Building, Singapore), designing and operating enterprise Lakehouse platforms and batch/streaming pipelines with Databricks, Apache Spark, PySpark, Python and SQL, using Delta Lake/Iceberg/Hudi, Kafka, Airflow and Docker/Kubernetes CI/CD to support analytics, AI and GenAI use cases.
Acropolium, an international software development and tech consulting firm, is hiring an AI Engineer to design, build, and deploy AI/ML solutions across client projects — spanning machine learning, deep learning, Generative AI, and LLM apps (RAG, embeddings, vector search) using Python, PyTorch/TensorFlow, cloud AI services, and MLOps tooling.
Build scalable, fault-tolerant systems and APIs for core business logic like inventory and payments using Kotlin, Scala, and data technologies like Kafka and Spark.
Senior Staff Software Engineer builds and scales AI-powered platforms, APIs, and services for a global trade network, using Python, TypeScript, SQL, and cloud tools like AWS/Azure.
Senior engineer at Altana (Brooklyn, NY, hybrid) leading a small team building AI-native products for the company's global trade network — embedding with customers, forming and testing product hypotheses, shipping 0-to-1 features, and owning end-to-end outcomes. Core stack includes Python, PySpark, Docker/Kubernetes, AWS/Azure, and Databricks.
AllCloud, an AI-led cloud professional and managed services provider (AWS Premier and Salesforce partner), is hiring a data engineer to design, build, and maintain ETL/ELT pipelines and a Lakehouse data platform on Databricks, Snowflake, and AWS — spanning data modeling, governance, performance tuning, and automated data quality.
Senior Staff ML Engineer to lead the AI behind Altana Nexus, an agentic platform for global trade: building ingestion-to-decision pipelines over shipments and customs data, fine-tuning and evaluating LLMs, and shipping real-time risk/compliance decisions. Core stack is Python/PyTorch with LLM tooling (RAG, agents, vLLM, LangGraph) on cloud data infrastructure.
Lead the AI behind Altana Nexus, an agentic platform for global trade: drive architecture and build ingestion-to-decision ML pipelines and LLM agents that turn shipments, customs filings and trade documents into real-time risk, classification and compliance decisions. Core stack is PyTorch, the Python ML ecosystem, and production LLM techniques (RAG, SFT/DPO/RL, evals).
Ambush is hiring a Machine Learning Engineer (remote, Porto Alegre, Brazil) to design, build, and deploy AI-enhanced applications, focusing on Python (FastAPI) backend orchestration, LLM workflows with LangChain/LangGraph/OpenAI SDK, and secure, scalable deployment of AI services on cloud platforms like GCP, AWS, or Azure.
Senior Data Engineer at Matria builds and operates the data backbone of a high-impact digital health product: designing robust ETL/ELT pipelines, ensuring data quality, governance and LGPD compliance, and collaborating with engineering and AI teams to deliver trusted clinical data for ML and LLM systems. Core stack includes Python, SQL/NoSQL, cloud platforms, Airflow and dbt.
Owns the models that decide whether public-record entries describe the same person, designing labels and evaluation sets, training and shipping match/confidence models, and taking them to production on AWS. Works with Python, SQL, Spark, SageMaker, Databricks, and MLflow on a small remote-first data science team.
Builds and operates the AI/ML platform at Cambridge Mobile Telematics: running LLM applications and model services on AWS and Kubernetes/EKS, automating training and deployment workflows with Terraform, Helm, and Argo CD, and owning monitoring, cost controls, and incident response for engineering and ML teams.
Senior Machine Learning Engineer at an AI consultancy: you build LLM-powered systems end-to-end for clients — from rapid proof of concept to production — using Python, RAG, agents, and rigorous evals, deployed to cloud (AWS preferred) via CI/CD, in a fully remote, client-facing LATAM team.
Roblox (San Mateo, CA) is hiring a Senior ML Engineer to build the data flywheel behind its 3D generative AI foundation models: architecting petabyte-scale pipelines to ingest, clean, and synthesize 3D datasets, building evaluation frameworks, and serving high-throughput inference APIs. Core stack is Python, with C++ and game-engine tools (Blender, Unreal, Unity) as pluses.
We couldn't check your fit for this role — add a CV to your profile to see it next time.