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AI Engineer
Domyn SpA
Remote, USA
Full-time
Mid · 3+ years experience
Remote
Discovered 3 weeks ago
PythonNumPyPandasScikit-learnMLflowKubeflow
Free
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PythonNumPyPandas
Key Skills for This Role
PythonNumPyPandasScikit-learnMLflowKubeflow
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Key Responsibilities
- Build and maintain Agentic AI Systems capable of delivering complex tasks such as navigating enterprise-scale inventories of structured and unstructured information sources, optimizing portfolio construction and evolving trading strategies in the financial industry.
- Develop APIs and integration points for AI services within our product ecosystem
- Ensure AI models are secure, auditable, and compliant with industry standards.
- Optimize AI models and agentic pipelines for performance, latency, and resource utilization.
- Implement systems for model evaluation, monitoring, and continuous improvement
- Troubleshoot complex issues in AI systems and implement solutions.
- Stay current with emerging techniques in AI engineering and LLM deployment.
- Collaborate with researchers and financial SMEs to translate prototypes and business requirements into technical solutions fully integrated with the rest of the platform.
What You Have
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
3+ years of experience in Software/ML/AI engineering, with a proven track record of delivering scalable AI solutions ideally on financial systems.
Strong Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit-learn, writing efficient production-level code, which is well-written and explainable.
Experience with deploying and scaling AI models in production environments.
Familiarity with large language models, transformer architectures, and generative AI.
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies.
Understanding of software engineering best practices (git, version control, CI/CD, testing).
Experience with ML engineering tools and platforms (MLflow, Kubeflow, etc.)
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