Senior Machine Learning Engineer

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HRM Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

🤖 Artificial Intelligence

B2B • Artificial Intelligence

HRM Group is an Italy-based technology and digital transformation firm that delivers software engineering, cloud, data/AI and e‑commerce solutions while emphasizing professional growth and talent development. The company operates mixed-experience project teams, offers an internal academy and training programs, and lists roles spanning backend, cloud, IAM, data engineering and analytics. HRM Group appears to be a B2B consultancy and service provider focused on projects that drive efficiency and digital transformation for clients.

📋 Description

• The role involves a strategic project focused on promotions optimization and sales forecasting across international markets. • Responsibilities include designing, developing, and operationalizing advanced predictive and analytical models to support commercial decision-making at a global scale. • The consultant will act as a senior hands-on expert, combining strong data science expertise with robust engineering skills to deliver production-ready solutions on AWS. • The role will contribute to demand forecasting, promotional effectiveness analysis, price elasticity modeling, and multi-market modeling, taking into account seasonality, market dynamics, and external demand drivers. • The position also includes implementing MLOps practices on Amazon SageMaker, model monitoring, automated retraining, documentation, and knowledge transfer, while collaborating with data teams and business stakeholders across multiple regions.

🎯 Requirements

• Strong experience in forecasting models and/or promotions analytics, preferably within Retail, CPG, or e-commerce contexts. • Experience designing and maintaining demand and sales forecasting models at different levels of granularity (SKU, category, channel, and market). • Strong knowledge of classical forecasting models such as ARIMA, SARIMA, SARIMAX, ETS, Holt–Winters, and state-space models. • Experience with modern forecasting libraries such as Prophet, NeuralProphet, GluonTS, Statsforecast, Nixtla / MLForecast, and DeepAR. • Experience with XGBoost, LightGBM, and CatBoost for tabular forecasting use cases. • Knowledge of hierarchical forecasting and reconciliation methods such as MinT, bottom-up, and top-down approaches. • Proven experience modeling price elasticity, promotional uplift, and causal impact. • Familiarity with approaches such as CausalImpact, Difference-in-Differences, uplift modeling, and Bayesian structural time series. • Strong capability to handle seasonality, intermittent demand, and multi-market heterogeneity. • Strong fluency with AWS, especially Amazon SageMaker and SageMaker components. • Experience implementing MLOps practices, including automated retraining, monitoring, and drift detection. • Solid experience with Redshift or equivalent cloud data warehouses. • Production-level experience with Python, including pandas, NumPy, scikit-learn, PyTorch, or TensorFlow. • Ability to design and evaluate A/B tests and backtesting frameworks to validate model performance and business impact. • Excellent command of English (C1 level).

🏖️ Benefits

• Hybrid working & flexibility: Work from home with flexibility and comfort. • 30 days off: Generous time off—30 days per year. • Training & tech library: Budget for tailored project training and access to resources to stay current with the latest tech stacks. • Health & welfare: Contractual health fund extended to family and a welfare budget tailored to your needs. • Referral bonus: Know a great candidate? Refer them and receive a financial reward with no referral limits. • Additional perks: Electronic meal vouchers and exclusive discounts on tech, travel, and lifestyle.