Senior Machine Learning Engineer
3 days ago
🎯 JD: Senior Machine Learning Engineer (Forecasting & Pricing Systems)Blue Enigma – Senior ML Engineer (AI Demand Forecasting + Dynamic Pricing) 📍 Location: Hybrid (Noida, India) 🕒 Experience: 4–8 Years 💰 Compensation: Competitive + ESOP for high performers 🔹 Company DescriptionBlue Enigma is a deep-tech product company operating in stealth, building modern systems for hospitality, AI automation, and large-scale property management.We are developing:A next-generation PMS + CMS platformAI demand forecasting systemAI-driven dynamic pricing engineHigh-scale microservices powering real-time decision-makingYou will be the core ML expert responsible for building our entire AI intelligence layer from scratch. 🔹 Role: Senior ML Engineer (Time-Series + Pricing Models)We are hiring a hands-on Senior ML Engineer who can design forecasting models, build pricing logic, engineer data pipelines, and deploy ML systems into production.You will own end-to-end:Forecasting modelsPricing engineData pipelinesModel deploymentReal-time inference APIsThis role blends ML + MLOps + software engineering. 🔹 Responsibilities1. Build Demand Forecasting ModelsDevelop models to predict occupancy, demand, pickup rateUse time-series, boosting models, or deep learningCapture seasonality, events, market trendsEvaluate and improve models continuously2. Build Dynamic Pricing AlgorithmsConvert forecasts into revenue-optimized price recommendationsImplement elasticity-based modelsIncorporate constraints (inventory, cancellation patterns)Ensure pricing stability + explainability3. Data EngineeringDesign data pipelines to ingest PMS booking dataClean, transform, and generate ML featuresBuild automated workflows for daily retraining4. MLOpsDeploy models using Docker / Kubernetes / cloud servicesSet up monitoring, logging, versioningImplement drift detection & auto-retraining5. Collaboration With Backend TeamWork with backend engineers to expose ML models as APIsSupport real-time inference pipelinesEnsure low-latency response times6. Documentation + OwnershipOwn architecture diagrams, reports, experimentsCommunicate findings to product & engineering teams 🔹 Required SkillsMust Have4–8 years experience as ML Engineer / Applied ScientistStrong understanding of time-series forecastingExperience with pricing / optimization / demand modelsStrong Python engineering skills (not just Jupyter notebooks)Deep experience with libraries: scikit-learn, Prophet, XGBoost, LightGBM, statsmodelsExperience deploying ML models into productionStrong understanding of MLOps (CI/CD, model versioning, monitoring)Experience with SQL & NoSQL databasesExperience designing and consuming APIsNice to HaveExperience in hospitality, travel-tech, airline pricing, or e-commerce pricingExperience with real-time inference systemsKnowledge of AWS/GCP (Lambda, ECS, S3, BigQuery, etc.)Familiarity with deep learning time-series models (LSTM/Transformer-TS)Prior experience building forecasting systems at scale 🔹 What We OfferBuild the AI brain of a global PMS platformOwnership of ML architecture end-to-endCompetitive salary + ESOP opportunitiesFreedom to innovate and ship fastWork with a highly skilled engineering teamOpportunity to impact revenue optimization for 1000s of properties 🔹 How to ApplySend your:ResumeGitHub / Kaggle / Project linksAny ML system architecture or relevant case studiesOr message us directly on LinkedIn.
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Machine Learning Engineer
7 days ago
uttar pradesh, India ThoughtSol Infotech Ltd. Full timeDesignation: - ML / MLOPs EngineerLocation: - Noida (Sector- 132)Key Responsibilities:• Model Development & Algorithm Optimization: Design, implement, and optimize MLmodels and algorithms using libraries and frameworks such as TensorFlow, PyTorch, andscikit-learn to solve complex business problems.• Training & Evaluation: Train and evaluate models using...
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Machine Learning Engineer
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Machine Learning Engineer
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