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Machine Learning Engineer
Machine Learning Engineer in the Delhi-NCR region who builds and optimizes ML models in Python (Scikit-learn, Pandas, NumPy) and manages their full lifecycle — preprocessing, training, evaluation, deployment, and production monitoring — collaborating with data scientists and engineers and applying MLOps practices.
Lead Applied Data Scientist - AI/ML Solutions Architect
12-month onsite contract in New York for a Lead Applied Data Scientist / AI-ML Solutions Architect who builds and productionizes machine learning and predictive models using Python or R with scikit-learn, TensorFlow, and PyTorch. Pays $50/hr W2 or $60/hr C2C.
Data Scientist / Badacz ds. AI i analizy danych
Wynagrodzenie umowa o pracę: 18000 – 25000 PLN / mies. brutto W EXSO na co dzień realizujemy projekty dla klientów z sektora przemysłowego, wdrażając innowacyjne rozwiązania B2B wspierające ich procesy biznesowe i…
Head of Engineering AI and Data Science
Executive leadership role in Bengaluru heading AI & Data Science engineering: defining an enterprise-wide AI platform strategy, building and scaling teams, and shipping agentic/GenAI features (LLMs, RAG, vector search) into customer-facing products using Python, ML frameworks and major clouds.
Python Developer
Onsite Python developer in Korba, Chhattisgarh building ML/AI solutions for an industrial group: predictive, forecasting and anomaly-detection models, RAG chatbots, AI agents, and data pipelines from SAP, OSI PI and IoT plant systems, deployed as APIs with MLOps. Stack spans Python, FastAPI, LangChain, scikit-learn, PyTorch and SAP integrations.
Data Scientist - Vision par Ordinateur / Traitement d'Images (H/F)
Agixis - Société de conseil et d'expertise IT, spécialisée dans la santé, l'IoT et l'industrie 4.0 ainsi que la transformation digitale. Qui sommes-nous - Chez Agixis, nous sommes des Agicien-nes passionné-e-s qui…
Praktikum Data Science M/F/X - Crailsheim
A 4–6 month data science internship on Lidl's Data & AI team: supporting data collection, preparation, and exploratory analysis, and developing AI/statistics-based solutions for automated decisions in business departments. Core tech includes Python/R/Scala, SQL, and big-data tools like Spark and Hive.
Data Scientist III
Senior-level data scientist at Playlist (the Mindbody/ClassPass wellness marketplace) building models and data products — experimentation, causal inference, anomaly detection, recommendation — to improve marketplace efficiency, retention, and growth. Core stack: Python (pandas, NumPy, scikit-learn, PySpark) and SQL.
Data Analyst
Data Analyst at Zipher (Tel Aviv) owns end-to-end analytics for a cloud platform that autonomously orchestrates data and AI workloads — defining product KPIs, building dashboards, and running production-grade data pipelines on enterprise-scale telemetry using SQL, Python, and tools like Databricks/Spark.
Agentic AI Engineer
Designs, builds, and deploys production-ready agentic AI systems — single- and multi-agent LLM applications with LangChain/LangGraph, RAG pipelines, and FastAPI/Flask backend services, primarily on Azure. Focus areas include agent orchestration, evaluation, observability, security, and cost optimization.
Senior AI Engineer (w/m/x)
Senior AI engineer in NTT DATA's AI Delivery unit in Vienna: builds, trains and deploys ML/GenAI models for enterprise client projects (insurance, finance, manufacturing/automotive), from data and training pipelines to APIs, MLOps/LLMOps and production monitoring. Stack: Python, PyTorch/TensorFlow, Spark, FastAPI, Docker/Kubernetes, Azure/GCP/AWS.
Praktikum Data Science
4–6 month data science internship in Lidl's Data & AI team in Cologne: support data-based analyses, help collect and prepare data, and develop/pilot AI and statistics-based automation solutions, gaining exposure to big data and ML with tools like scikit-learn, Spark, Hive, Python/R/Scala and SQL.
Praktikum Data Science in Neckarsulm
A 4-6 month data science internship in Lidl's Data & AI team in Neckarsulm, Germany. The intern supports data collection, preparation and exploratory analysis, and helps develop, validate and pilot AI/statistics-based automation solutions using tools like scikit-learn, Spark, Hive, Python/R/Scala and SQL.
Applied ML Engineer
Build and own a recommendation engine for an in-game commerce platform, using collaborative filtering and embeddings to surface rewards to players based on sparse, noisy event data.