
Machine Learning Engineer
2 weeks ago
About this role
We are on the lookout for a Junior Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for systematic strategies. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.
Key Responsibilities
ML Engineering and Operations:
- Develop, implement and optimize predictive models using machine learning and deep learning / AI techniques.
- Deploy, maintain and monitor production models on AWS
ETL & Data Management:
- Design and develop efficient ETL pipelines to process and manage large volumes of financial data and alternative data.
- Ensure data integrity and accuracy across various data sources.
Cloud Computing:
- Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner (Terraform, AWS ECS, Docker, CI/CD pipelines).
- Optimize Cloud resources for performance and cost-effectiveness.
End-to-End Solution Development:
- Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.
Innovation & Creativity:
- Explore and implement innovative techniques to solve complex financial problems.
- Stay current with the latest advancements in machine learning and data science to continually improve and innovate.
Result-Oriented Approach:
- Focus on delivering high-impact results.
Communicate findings and recommendations effectively to senior stakeholders.
Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, or a related field.
- 1-3 years of hands-on experience in data science and machine learning (exposure to financial markets in a professional context in a plus).
- Proficiency in Python and relevant libraries (e.g., scikit-learn, Polars, PyTorch).
- Experience with AWS services (e.g., S3, ECS, Lambda, Athena, CloudWatch, etc.).
- Strong understanding of Data platform ETL processes and tools.
- Excellent problem-solving skills and a creative mindset.
- Strong communication and collaboration skills.
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