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Senior Data Scientist / Acumatica / Remote from Serbia
Acumatica is a US-based cloud ERP product company and a leading provider of business management software that empowers small and mid-size businesses to unlock their potential and drive growth. Our fully integrated suite includes Financials, Distribution, CRM, and Project Accounting, all built on a robust and flexible platform.
We’re passionate about technology, product excellence, and making a meaningful impact. With offices across the globe and a strong R&D team in Serbia, we offer a collaborative environment, growth opportunities, and flexibility.
🔗 https://www.acumatica.com
Responsibilities:
🟥 Fine-tune and deploy small language models (SLMs) for ERP-specific tasks on Azure, AWS, or on-premise infrastructure.
🟥 Design and implement AI agents for automation and adaptive workflows across ERP modules using LangChain, AutoGPT, or similar tools.
🟥 Build and maintain traditional ML models (forecasting, anomaly detection, classification, clustering) to solve business problems like fraud detection and churn prediction.
🟥 Collaborate with product managers, engineers, and designers to define use cases and integrate models into production.
🟥 Lead the MLOps lifecycle: CI/CD for models, versioning, monitoring, retraining, and ethical deployment practices.
Benefits:
🟢 Remote or hybrid work from Serbia.
🟢 Full relocation support if moving to Serbia.
🟢 Private health insurance.
🟢 Generous vacation policy.
🟢 Performance-based bonuses.
🟢 Full work equipment provided.
🟢 Excellent career growth opportunities.
Requirements:
🔵 5+ years of experience in data science, with focus on ML and NLP.
🔵 Strong Python skills and familiarity with TensorFlow, PyTorch, Scikit-learn, HuggingFace, etc.
🔵 Experience with LLM fine-tuning and deployment.
🔵 Hands-on experience with Azure or AWS for ML model deployment.
🔵 Familiarity with LangChain, AutoGPT, CrewAI, or similar agent frameworks.
🔵 Deep understanding of classical ML algorithms and evaluation techniques.
🔵 Strong background in MLOps, including reproducibility, model pipelines, and monitoring.
🔵 Excellent communication and cross-functional collaboration skills.
Apply:
🚀 Ready to shape the future of AI-powered ERP? Apply now and join Acumatica’s growing Data Science team.
Acumatica is a US-based cloud ERP product company and a leading provider of business management software that empowers small and mid-size businesses to unlock their potential and drive growth. Our fully integrated suite includes Financials, Distribution, CRM, and Project Accounting, all built on a robust and flexible platform.
We’re passionate about technology, product excellence, and making a meaningful impact. With offices across the globe and a strong R&D team in Serbia, we offer a collaborative environment, growth opportunities, and flexibility.
🔗 https://www.acumatica.com
Responsibilities:
🟥 Fine-tune and deploy small language models (SLMs) for ERP-specific tasks on Azure, AWS, or on-premise infrastructure.
🟥 Design and implement AI agents for automation and adaptive workflows across ERP modules using LangChain, AutoGPT, or similar tools.
🟥 Build and maintain traditional ML models (forecasting, anomaly detection, classification, clustering) to solve business problems like fraud detection and churn prediction.
🟥 Collaborate with product managers, engineers, and designers to define use cases and integrate models into production.
🟥 Lead the MLOps lifecycle: CI/CD for models, versioning, monitoring, retraining, and ethical deployment practices.
Benefits:
🟢 Remote or hybrid work from Serbia.
🟢 Full relocation support if moving to Serbia.
🟢 Private health insurance.
🟢 Generous vacation policy.
🟢 Performance-based bonuses.
🟢 Full work equipment provided.
🟢 Excellent career growth opportunities.
Requirements:
🔵 5+ years of experience in data science, with focus on ML and NLP.
🔵 Strong Python skills and familiarity with TensorFlow, PyTorch, Scikit-learn, HuggingFace, etc.
🔵 Experience with LLM fine-tuning and deployment.
🔵 Hands-on experience with Azure or AWS for ML model deployment.
🔵 Familiarity with LangChain, AutoGPT, CrewAI, or similar agent frameworks.
🔵 Deep understanding of classical ML algorithms and evaluation techniques.
🔵 Strong background in MLOps, including reproducibility, model pipelines, and monitoring.
🔵 Excellent communication and cross-functional collaboration skills.
Apply:
🚀 Ready to shape the future of AI-powered ERP? Apply now and join Acumatica’s growing Data Science team.
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