Junior Data Scientist
Mize
Build machine learning models and LLM pipelines while analyzing travel data for Mize. Evaluate model performance in production and share findings with technical and business teams.
खोलें
Expleo Group एक वैश्विक इंजीनियरिंग, प्रौद्योगिकी और परामर्श साझेदार है, जो संगठनों को अपने संचालन में बदलाव लाने, जटिल उत्पाद विकसित करने तथा विनिर्माण और गुणवत्ता प्रक्रियाओं में सुधार करने में सहायता करता है। इसका कार्य परामर्श, रक्षा और लॉजिस्टिक्स के क्षेत्रों तक फैला है, जिसमें कृत्रिम बुद्धिमत्ता, डिजिटल रूपांतरण और साइबर सुरक्षा जैसी क्षमताएँ शामिल हैं। 1966 में स्थापित Expleo, 29 देशों में काम कर रहे 18,000 विशेषज्ञों की टीम के साथ पांच दशकों से अधिक के अनुभव को जोड़कर नवाचार और परिचालन प्रदर्शन को समर्थन देता है।
Data Engineer, Expleo Group — Portugal Hybrid
Build ETL/ELT pipelines and reusable data products for Expleo’s engineering and technology services. Connect Azure, Snowflake, APIs, and AWS sources to support AI, analytics, and reporting.
विवरण
- Build and run enterprise ETL and ELT pipelines for AI, analytics, reporting, and agentic workflows
- Develop clean, documented, reusable data products from operational, customer, logistics, sales, and other sources
- Set up data quality checks, monitoring, lineage, metadata, and reliability practices
- Connect Azure AI services, Snowflake, APIs, file-based sources, and selected AWS services
- Turn business and AI use case needs into data models, pipelines, and serving layers
- Work with local IT and data owners to onboard sources in line with data protection, access control, and governance rules
आवश्यकताएँ
- Bring strong Python, SQL, data modelling, ETL/ELT, and production pipeline experience
- Have cloud data engineering experience, preferably with Azure; practical AWS experience is an advantage
- Have experience with Snowflake or a comparable cloud data platform
- Understand data quality, orchestration, observability, access management, and governance in enterprise settings
- Collaborate effectively with data scientists, AI engineers, business stakeholders, and local IT teams across international settings
- Be comfortable with generative AI software engineering tools such as GitHub Copilot, Cursor, or OpenCode
- Have good English skills
लाभ
- Hybrid working arrangement
- Permanent employment
- Access to global and local engineering, technology, and consulting environments
- Work with international teams on projects
संबंधित नौकरियाँ
Senior Machine Learning Engineer, AI Agents
Zendesk
Advance AI agent planning, memory, evaluation, and safety for Zendesk’s customer service resolution platform. Build reinforcement learning systems using production trajectories.
खोलें
Senior Software Engineer, AI Adoption
GRADION
Principal-level engineer guiding AI adoption across Gradion’s digital platforms and Deep Tech solutions. Combines hands-on LLM development with architecture, reliability, and technical leadership, without direct reports.
खोलें
Staff Data Scientist, Growth Algorithms
Airwallex
संयुक्त राज्य
कैलिफ़ोर्निया$2,50,000 – $2,99,000 / वर्ष
हाइब्रिडपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकLead the development of machine learning and causal inference solutions that support Airwallex’s global growth. Work with Marketing and Growth teams to improve customer acquisition, engagement, and retention.
खोलें
Lead AI Engineer Consultant
Allstate
Lead AI engineering at Allstate India, designing agentic AI, semantic systems, and cloud data platforms. Set technical direction across products and strengthen production operations and engineering practices.
खोलें
Senior Machine Learning Lead Engineer
Next Step Systems - National IT Recruiting Firm
Lead the systems behind the company’s machine learning, spanning training, evaluation, inference, and deployment. Build production infrastructure with Python, PyTorch or JAX, and GPU computing.
खोलें
Senior Lead Machine Learning Engineer, Applied AI and LLMs
Targetसंयुक्त राज्यकैलिफ़ोर्निया
मिनेसोटा$1,32,000 – $2,86,000 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियरLead the development of production AI and machine learning applications for Target’s retail business. Provide hands-on technical direction across LLMs, applied ML, system architecture, deployment, and operations.
खोलें
Senior Machine Learning Engineer, Financial Crime
Finom
Lead Finom’s production Dynamic Risk Score and develop machine learning systems that help detect financial crime for European small and medium-sized businesses. Deploy, monitor, and improve models and transaction rules across markets.
खोलें
Data Science Manager, AI and Machine Learning — Singapore
American Express
Lead the development of scalable AI and machine learning solutions at American Express. Shape production models, cloud deployment strategies, and technical designs for financial services.
खोलें
Fraud Manager, Data & AI
Younited
Lead data and AI initiatives to detect and prevent fraud across Younited’s digital credit, payments, cashback and banking services. Build group-wide controls, monitoring tools and prevention strategies.
खोलें