Middle/Senior ML Engineer

Описание

We’re looking for a proactive and reliable ML/Data Engineer to join our team.Project OverviewThe client is a global leader in edge-intelligent microgrid orchestration. Their platform enables fleets of distributed energy resources (DERs) – such as solar, batteries, and EV chargers – to self-optimize and coordinate into one resilient, global grid. You will contribute to a Proof-of-Concept (POC) focused on forecasting energy consumption and generation using telemetry and weather data. The POC includes data engineering, modeling, benchmarking, and lightweight deployment on edge devices (e.g., Jetson).Hard Skills3+ years of experience in data engineering or machine learning;Strong Python skills, including Pandas, NumPy, and scikit-learn;Experience with time-series modeling (Prophet, ARIMA, DeepAR, TFT);Proficiency in working with cloud environments (AWS SageMaker preferred);Familiarity with ML lifecycle: training, validation, and testing frameworks;Understanding of energy systems or forecasting applications is a plus.Nice-to-HaveExperience with graph-based models (e.g., GNNs);Jetson (or edge device) deployment experience;Familiarity with energy sector datasets (telemetry, weather, solar, etc.);Experience using tools like MLflow, DVC, or SageMaker pipelines.ResponsibilitiesPrepare and clean time-series data (telemetry, weather) at 15-min intervals;Implement evaluation metrics and backtesting for forecasting accuracy;Build baseline and advanced models (e.g., ARIMA, Prophet, DeepAR, GNN);Engineer features (e.g., holidays, clear-sky, pricing) and tune model performance;Package and test models for edge deployment on devices like Nvidia Jetson.What You’ll GetA chance to work on an innovative edge-intelligence forecasting project;Exposure to cutting-edge modeling and deployment approaches;Collaboration with a cross-disciplinary engineering team (data, energy, embedded systems).Our BenefitsProfessional and career growth promotion;Competitive salary;Paid vacations and sick leaves;Internal Medical Program;Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);Flexible working hours;Regular corporate social activities;Regular technical training at our office;English courses;Gym, etc.