Machine Learning Engineer

Summary

Dynamic and accomplished Machine Learning Research Scientist with a robust background in exploring AI technologies and developing innovative machine & deep learning based recommendation systems. Currently contributing to Tidal at Block, I am also a Microsoft Certified Azure Data Scientist Associate and former Senior Researcher/Data Scientist at Group Technology & Research at DNV.
Professional Achievements:
- ETL pipeline and Cloud Technologies: Proficient in designing and deploying large datasets and multi-source data sets ETL pipelines. Well-versed in Databricks, PySPark, Airflow and AWS for efficient data processing.
- Productionization & automation: Develop machine learning pipelines to provide various personalized features for both Tidal streaming and artist platforms
- Recommendation Systems: Explore and develop various deep learning models including transformer based models, graph neural networks and popular NLP models
- Computer Vision and Image Processing: Applied computer vision and advanced deep learning models to automate remote inspection services, demonstrating a practical understanding of image processing technologies.
- Modelling Complex Systems: Specialized in modelling complex systems, including networked systems, satellite control systems, and autonomous ships. Analyzed performance, safety, security, and other emergent system properties.
- Research and Innovation: Actively participated in various research and innovation projects encompassing data analytics, computer vision/graphics, optical & wireless networks, software verification and validation, and risk analysis.
- Critical ML Model Research: Conducted in-depth research on critical issues in well-known machine learning models, focusing on robustness, uncertainty, explainability, transparency and verification.

Expectations

In seeking a new role, I am eager to contribute my skills and expertise while furthering my professional growth. I look forward to engaging in challenging projects that leverage my skills and expertise in digital innovation and technology transformation including but not limited to machine learning, data science. I am seeking opportunities to make a meaningful impact on the company's goals and contribute to innovative solutions.

Employment Preferences
Expected Base Salary

**0,000 USD

Academic Degree
Experience

Total Professional Experience

19 years

Startup Experience

3 years

Big-Tech Companies

no experience

Enterprise Experience

15 years
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