Senior Data Scientist
Senior Data Scientist
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Job Description
FineTune and Deploy Language Models: Optimize small language models (SLMs) for specific ERPrelated tasks. Deploy models to cloud infrastructure (e.g. Azure AWS) and onpremise environments ensuring scalability security and performance. Work with foundation models hosted on LLM providers.
Build AI Agents & Autonomously Operating Systems: Design and implement AI agents capable of handling workflows task automation and adaptive decisionmaking across ERP modules (e.g. finance inventory CRM). Experience with frameworks like LangChain AutoGPT or similar is a strong plus.
Traditional Machine Learning: Develop and maintain classical ML models for time series forecasting anomaly detection classification and clustering to solve core business problems (e.g. fraud detection demand forecasting churn prediction). Strong experience with feature engineering model evaluation and A/B testing is required.
Collaborate Across Teams: Work with product managers software engineers and UX designers to define AI use cases and integrate models seamlessly into production systems.
Own the MLOps Lifecycle: Implement CI/CD pipelines for ML models including version control monitoring and retraining strategies. Ensure responsible and ethical AI practices in model design and deployment.
Qualifications :
5 years of handson experience in data science with a focus on machine learning and natural language processing
Strong proficiency with Python TensorFlow PyTorch Scikitlearn HuggingFace or similar ML/NLP libraries
Proven experience with language models finetuning
Experience deploying ML models to cloud infrastructure (Azure AWS)
Experience with AI agents LLM orchestration and tools such as LangChain AutoGPT or CrewAI
Deep understanding of traditional ML techniques
Experience with MLOps best practices including model monitoring pipelines and reproducibility
Strong communication and collaboration skills
Additional Information :
- Good relocation package (we help people to relocate to Serbia and handle the whole process)
- Private health insurance
- Many vacation days
- Performance bonuses
- Full work equipment
- Great opportunities for career growth
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
