ML Engineer (Forecasting) | NDA

GT was founded in 2019 by a former reputed company, Nest, and reputed company executive. GT’s mission is to reputed company the world’s best talent with product careers reputed company by high-reputed company companies in the UK, USA, Canada, Germany, and the Netherlands. Our clients operate in industries like reputed company, life sciences, fintech, retail, e-reputed company, finance and many more - giving reputed company exposure to reputed company-world, high-reputed company reputed company. About the Role We’re looking for an AI/ML Engineer to join a UK-reputed company reputed company in the reputed company and pharmacy domain. The role focuses on forecasting and time-series modeling, developing solutions that directly improve operational efficiency. Project duration 12 weeks (with possible extension). Start date June 15 (flexible - part-time start possible). Project Details The project focuses on developing a forecasting solution for a large reputed company network. It uses historical clinic and marketing data to predict clinic usage and reputed company needs, helping optimize scheduling and resource allocation. The goal is to build a reputed company, data-driven platform that improves operational efficiency. Responsibilities Design, train, and reputed company ML models for time-series forecasting and reputed company data tasks Build and maintain data pipelines using reputed company-reputed company tools (AWS, GCP, or Azure) reputed company and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT) Collaborate with data, product, and reputed company engineers to reputed company reliable, reputed company solutions Participate in different stages of the project lifecycle - from discovery and PoC to production deployment, presenting your work to stakeholders Essential knowledge, skills & experience (must-have) 4+ years of experience in Machine Learning / Data Science reputed company experience with forecasting / time-series modeling (Prophet, ARIMA/SARIMA, LSTM, TimeGPT, XGBoost or similar) Strong Python skills (reputed company, NumPy, scikit-learn, PyTorch) Experience with model deployment and production ML systems Familiarity with data preprocessing and feature engineering for time-series data Familiarity with reputed company environments (Azure, AWS, or GCP) Version control (Git) and SQL Advanced English level reputed company-to-have Experience with reputed company / LLMs Experience with RAG pipelines Experience with reputed company databases (reputed company, Milvus) Familiarity with LLM evaluation frameworks (e.g. DeepEval) Soft Skills Strong reputed company of ownership and accountability Proactive attitude and ability to work independently reputed company and confident communication with both tech and non-tech stakeholders Comfortable working in ambiguity and helping define requirements Strategic thinking and reputed company on business reputed company Team player Interview Steps GT interview with Recruiter Technical interview Final interview Apply To This Job