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Junior Machine Learning Engineer builds and trains models for object classification, event prediction, and decision support in mission-critical autonomous systems, using Python, PyTorch/TensorFlow, and sensor data.
Data Scientist Location: New York, New York, United States of America Department: Trading Data Scientist We're looking for a hard-working, thoughtful Data Scientist who delivers results. You'll transform messy…
Job Title: Core python developer - Mid level Experience: 6 to 8 yrs Location - Northampton Work Mode- Hybrid Job Type: 6 Months Contract (Extendable) JOB DETAILS: Technical Skills/Competencies: Python: ✅ Design,…
Etraveli Group is a leading global flight technology provider, specializing in flight sales and offering flight content delivery and fintech products. We are here to solve complexity, by connecting millions of flights…
Build and deploy AI/ML models for location intelligence, using Python, TensorFlow/PyTorch, and cloud tools to optimize field operations and drive business growth.
Build and deploy graph machine learning systems using Graph Neural Networks and graph databases to extract insights from large, connected datasets and drive business impact.
Build and deploy machine-learning models and data pipelines for digital battery tech, GenAI, and analytics using Python, PyTorch/TensorFlow, and cloud-native tools.
Data Science / Machine Learning Location: México (MX) Experience Level: Senior Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global…
Build and deploy GenAI applications using Python, LLM frameworks, and vector databases, then optimize and integrate them into cloud-based microservices.
Working student builds AI prototypes and data pipelines for vehicle validation, trains ML models for predictive maintenance, and analyzes sensor data using Python and cloud tools.
Build and deploy ML models to solve business problems using Python, SQL, and core data-science libraries; collaborate with engineers and stakeholders to turn data into actionable insights.
Teach IT applications development, IoT, and data analytics to students while engaging in industry projects and consultancy to keep skills current.
Build and deploy machine-learning models to extract business insights from retail data using Python, SQL, and cloud data tools in a hybrid team at a South African fashion retailer.
Build and deploy machine learning models to automate forecasting and scenario simulation for sales, finance, and commercial teams using Databricks, Azure ML Studio, and Python.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Build and deploy GenAI and ML systems for natural language understanding, data extraction, and information retrieval at enterprise scale within S&P Global’s financial-intelligence products.
Lead validation strategy for enterprise SSD firmware, architecting AI/ML-powered test frameworks and verifying NVMe features across hardware environments.
Build and refine statistical models and customer segmentation using Python, SQL, and EDA to turn large datasets into actionable business insights.
Senior Data Scientist at S&P Global designing and building GenAI-driven and ML-powered products for natural language understanding, data extraction, and information retrieval solutions. Core technologies include large language models, Python, MLOps, and NLP architectures.
Builds and maintains Python-based, serverless services and FastAPI-driven APIs on Google Cloud Platform for a financial-index calculation platform, optimizing data pipelines and cloud-native architectures.
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