Tech jobs
Job listings
Data Engineer
Builds and maintains production data pipelines on the Databricks platform — PySpark and Spark SQL transformations across bronze/silver/gold Delta Lake layers, dbt models, Workflows orchestration, and Unity Catalog governance — often for regulated client projects. On-site in Buenos Aires; advanced English is required.
Senior Data Scientist
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.
Data Engineer / IA
Consulting data engineer at Kiiro: you scope, build, and industrialize cloud data pipelines and AI-ready foundations (datalakes/lakehouses, RAG corpora, vector search, ML pipelines) for clients, mainly on Databricks and AWS, using Python and SQL. Requires professional French; Paris-based hybrid role with frequent remote work.
Machine Learning Engineer
Machine Learning Engineer on Viking's Data Platforms & Solutions team in Los Angeles, designing, deploying, and operating production ML systems for demand forecasting, pricing, inventory, and recommendations. Core stack is Python, SQL, Spark, Databricks, and MLflow with a strong MLOps focus.
Machine Learning Intern (Masters) - Summer 2027
A 12-week Summer 2027 machine learning research internship for Masters students at DoorDash. The intern conducts applied ML/AI research (ranking, recommender systems, computer vision, causal inference, ads) to improve discovery, ads, forecasting, fulfillment, and search, using Python or systems languages and ML frameworks like TensorFlow/PyTorch.
Machine Learning Intern (PhD) - Summer 2027
DoorDash is hiring PhD students for a 12-week Summer 2027 machine learning internship in San Francisco, Sunnyvale, NYC, or Seattle. Interns conduct applied ML research (recommender systems, ranking, ads, computer vision, causal inference) to improve DoorDash's discovery, ads, search, forecasting, and fulfillment experiences.
Senior Software Developer – Python
Staff-level Python engineer anchoring an AI team: designs high-throughput ML inference pipelines for NLP products (language detection, sentiment analysis, machine translation), owns the MLOps path to production (MLflow, Kubernetes/OpenShift), and mentors senior engineers. Hybrid role, 3 days onsite in Vancouver, placed via TEEMA Group.
Python Developer -Forward Deployed, Pyspark
Senior forward-deployed engineer in Toronto (hybrid) who embeds with client teams — largely BFSI — to profile data and build production AI and data applications using Python, PySpark, SQL, FastAPI, and cloud data platforms, including Claude-powered apps with RAG, vector databases, and MLOps/LLMOps practices.
Python Developer
Senior forward deployed engineer in Toronto embedding with client teams to build enterprise AI and data applications: profiling data with Python/PySpark/SQL, building Claude-powered RAG copilots and pipelines, and owning delivery through production launch, monitoring, and handover.
Data Scientist
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Sr. ML Ops Engineer, Forward-Deployed
Senior hands-on MLOps engineer on 6sense's US Forward Deployed Engineering team, productionizing customer-tailored predictive models: building training/refresh workflows, APIs, dashboards, monitoring, and Kubernetes-based deployment tooling with Python, SQL, and AWS.
Senior Principal Engineer, AI & Data Platform
Architects and leads POET Technologies' company-wide AI and data platform in Singapore, spanning data infrastructure, MLOps, and in-house MES/ERP systems supporting semiconductor design and manufacturing. A hands-on technical leadership role building with Rust, TypeScript, and Python across AWS and on-premise infrastructure.
AI Engineer, Time-Series Signal Processing
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Principal Data Scientist
Principal Data Scientist setting the direction of Data Science at Autotrader, a UK automotive marketplace: spotting ML opportunities, orchestrating cross-functional data projects, and mentoring the analytics community. Core stack includes Python, Spark, SQL, MLflow, Databricks and GCP. Hybrid role based in Manchester (min 3 days/week in office).
Engenheiro de Machine Learning
Machine Learning Engineer working on-site in Curitiba for LUZA Group, building ML solutions for Grupo Senff: developing, training, and deploying predictive models, data pipelines, and MLOps practices (versioning, monitoring, retraining) using Python, Scikit-learn/Pandas/NumPy, SQL, Docker, Git/CI-CD, and REST APIs.
AI Engineer - Large Scale Pre-Training
Builds and runs the training infrastructure for large-scale robot foundation models at a Munich AI/robotics startup: multi-node GPU cluster training software, petabyte-scale video data pipelines, and experiment management tooling. Core stack: Python, PyTorch/JAX, CUDA, NCCL, Slurm/Kubernetes.