Senior Data Scientist & ML Engineer
- Verfügbarkeit einsehen
- 0 Referenzen
- 60€/Stunde
- 68309 Mannheim
- auf Anfrage
- it | en
- 13.10.2026
- Contract ready
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
12/2025 – offen
TätigkeitsbeschreibungForecasting and optimization models for distributed solar and battery grid-flexibility coordination across. End-to-end: modeling, embedded inference targets, OT/IT data integration.
Eingesetzte QualifikationenEnergiemarkt, Embedded Systems, Pytorch, Python, Internet of Things (IoT)
11/2025 – offen
TätigkeitsbeschreibungResearch codebase refactor of an in-house quantitative trading system. Risk-management layer on top of the firm's signal pipelines. Modeling rigor: training-loop diagnostics, evaluation infrastructure, backtest correctness.
Eingesetzte QualifikationenGoogle Cloud, MLOps, Python, Pytorch
7/2023 – 10/2025
TätigkeitsbeschreibungIndustrial-scale AI for enterprise clients within BIP's xTech consulting arm. Multi-terabyte RAG system over technical documentation for a Fortune 500 Italian cable manufacturer, shipped to production with positive user feedback from internal engineering teams. Developed neural demand forecasting integrated with SAP-driven supply-chain planning for the same client. Built high-throughput RAG architectures combining Azure AI Search with numerical pipelines, hybrid AI document processing (rule-based logic + LLM prompting + cognitive services), and automated metadata extraction at multi-TB scale. Production deployment with serverless components, Terraform-managed infrastructure, and vector search with fine-tuned embedding models.
Eingesetzte QualifikationenAmazon Web Services (AWS), Cloud Computing, Databricks, Faltendes Neuronales Netzwerk (CNN), Google Cloud, Langchain, Machine Learning, Microsoft Azure, MLOps, Python, Pytorch
9/2021 – 6/2023
TätigkeitsbeschreibungData Scientist within E4's Physical Systems AI team, focused on ML applications to scientific and geophysical data. Developed transformer architectures for seismic waveform pattern detection. Time-series forecasting models (TFT, N-BEATS) deployed on distributed Kubernetes. HPC-optimized training pipelines for geophysical datasets. Maintained the team's Kubernetes-based JupyterHub platform for cross-functional users. Established CI/CD pipelines on bare-metal GPU infrastructure built to the standards E4 supplies to CERN and CINECA HPC datacenters.
Eingesetzte QualifikationenOpen Source, Computer Vision, MLOps, Pytorch, Docker, Machine Learning, Python, Continuous Integration, Kubernetes
Ausbildung
Padua
Padua
Über mich
I work with R&D departments, deep-tech startups, and engineering teams on hard modeling problems with real, heterogeneous data. Recent production work includes a multi-terabyte RAG system over technical documentation for a Fortune 500 Italian cable manufacturer, and demand forecasting integrated with SAP-driven supply-chain planning for the same client. Currently engaged with a quantitative trading startup and an early-stage residential energy-management venture.
I'm at my best when the modeling has to be right and the system has to actually run in production. Full-stack experience on Azure, GCP, and Databricks on AWS, and 9+ years of advanced Python.
Weitere Kenntnisse
Full-cycle ownership from data understanding through to production deployment. Bias toward research-grade rigor: training diagnostics, evaluation pipelines, statistical validation. Comfortable with messy data, ambiguous requirements, and infrastructure work alongside modeling.
Persönliche Daten
- Italienisch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
Kontaktdaten
Nur registrierte PREMIUM-Mitglieder von freelance.de können Kontaktdaten einsehen.
Jetzt Mitglied werden