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.
A senior ML role at Hyper AdTech, a large Russian programmatic (mobile in-app RTB) advertising platform. Day to day the person builds and productionizes models for click/conversion prediction, bidding, budget pacing and traffic-quality scoring over large bidstream/event data using Python and classic ML tooling.
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.
Machine Learning Engineer at a consulting firm, developing and deploying ML models (predictive analytics, classification, clustering) using Python, TensorFlow/PyTorch/scikit-learn, and cloud platforms (AWS/GCP/Azure) across various client engagements.
Build and apply ML models to improve Reddit’s ad platform, analyzing large-scale data to drive advertiser performance and platform growth.
PhD researcher in (medical) informatics at UKSH's Clinical Research IT section in Lübeck, building an in-house ML-driven clinical decision support system (CDSS) platform: integrating hospital EHR data (ETL/FHIR/OMOP) and researching ML/LLM methods using Python (PyTorch, scikit-learn), with publications and a doctorate.
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.
Build and validate AI-powered analytics models (causal inference, forecasting, survival analysis) that proactively surface insights to Mixpanel’s customers, translating statistical rigor into actionable recommendations.
New-grad (MS) Data Scientist at ID.me's Mountain View office, working full-time on-site to fight online fraud. Day to day you'd analyze fraud patterns, build ML models, rules, and dashboards for detection and monitoring, using Python, SQL, and standard ML/data libraries.
Senior Data Scientist at Tufin in Tel Aviv leading end-to-end data science initiatives for security policy management systems: developing production ML models (predictive, anomaly detection), building security AI agents, and fine-tuning LLMs for domain-specific security use cases. Core stack: Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), LLMs, and graph tech like Neo4j.
8fig is hiring a Data Scientist in Tel Aviv to build end-to-end time-series forecasting and NLP models that power its AI-driven eCommerce funding platform. Day-to-day involves analyzing sales/banking data, developing predictive models from scratch, and collaborating with product and engineering using Python, pandas, NumPy, and scikit-learn.
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.
Opportunity Overview: As the Sr. Manager, Applied Science, you will play a key role in building and scaling Cohere Health's AI capabilities. You'll lead a team of Applied Scientists focused on developing,…
Data Scientist III on Inter's Growth/CRM data science team in Belo Horizonte, building statistical analyses, end-to-end machine learning models, and experiments to deliver hyper-personalized customer experiences for Brazil's first digital bank's financial super app. Core stack: Python, SQL, Apache Spark.
Senior data scientist at Alice (Ramat Gan) building the ML core of an automated GenAI red-teaming platform: clustering and analyzing adversarial prompts, building models for automated attack generation/mutation, and taking evaluation pipelines to production using Python, Scikit-Learn, PyTorch, and LLM tooling.
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).
Data Scientist on Fetcherr's Insights & Decision Science team, designing causal-uplift measurement frameworks and A/B testing to quantify the business impact of its AI airline pricing engine, and turning complex pricing-model data into insights for stakeholders. Core stack: Python (pandas, numpy, scikit, statsmodels), SQL/BigQuery, and git.
A senior technical lead who plans and delivers data science and mathematics projects for DoD clients, including a high-priority U.S. Navy program. Day to day they build statistical, machine learning, and optimization models plus dashboards and analytics using Python, R, or MATLAB with tools like Tableau and Power BI, while mentoring junior staff and interfacing with government stakeholders.
Build meaningful data products and apply Machine Learning using Python, SQL, and AWS. The role involves data modeling and communicating insights to clients.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
