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Data Scientist
Role & responsibilities Key Responsibilities Lead the end-to-end delivery of AI/ML and LLM-based solutions: problem framing, data exploration, feature engineering, model development, evaluation, deployment, and…
Commercial Data Scientist (Flip Team)
We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and are determined to keep doing so. What…
Senior Machine Learning Engineer
Problems you'll work on Search and Recommendations, Personalization, risk modelling, Agentic AI applications, Forecasting, supply chain and inventory optimization, pricing and margin optimization, operations planning…
Aws Data Engineer
3 to 5 years of hands-on experience in Data Engineering. Strong experience in designing and developing ETL/ELT pipelines. Proficiency in SQL and Python programming. Hands-on experience with AWS services, including:…
Data Scientist
We are looking for an experienced Data Scientist with 3+ years of experience in building data-driven solutions and deriving business insights through advanced analytics, machine learning, and AI techniques. The ideal…
#EG AI Engineer (Contact Centre)
As an AI Engineer who bridges traditional machine learning and modern generative / agentic AI. This role involves designing, building, and deploying end-to-end AI solutions including classical ML models, RAG-based…
#EG AI Engineer (Contact Centre)
Company Description NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise…
Senior Data Scientist
Role Summary The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. Working closely with the Analytics Lead, Delivery Managers, and…
Data Scientist II
You will be joining a central team of talented Data Scientists, working on a wide variety of impactful & important problem areas like: Search, Personalisation, Content Moderation, Trust & Safety, AI led Automation,…
