Machine Learning Engineer

Hi,

This is Yusuf working as a Sr. Recruiter at K-Tek Resourcing, I have an excellent job opportunity for you mentioned below, please let me know if you want to apply for the given role. You can reach out to me directly on 832-225-4564 & [email protected]

Job Title: Machine Learning Engineer

Job Location: Brazil (Remote)

Job Description:

• Set up Data Pipelines: Configure storage in cloud-based compute environments and repositories for large-scale data ingestion and processing.
• Develop and Optimize Machine Learning Models:
• Implement Machine Learning for Exception Classification (MLEC) to classify financial exceptions.
• Conduct Missing Value Imputation using statistical and ML-based techniques.
• Develop Early Warning Signals for detecting anomalies in multi-variate/univariate time-series financial data.
• Build Model Surveillance frameworks to monitor financial models.
• Apply Unsupervised Clustering techniques for market segmentation in securities lending.
• Develop Advanced Data Quality Control frameworks using TensorFlow-based validation techniques.

Experimentation & Validation:

• Evaluate ML algorithms using cross-validation and performance metrics.
• Implement data science best practices and document findings.

Data Quality and Governance:

Develop QC mechanisms to ensure high-quality data processing and model outputs.

Required Skillset

• Strong expertise in Machine Learning & AI (Supervised & Unsupervised Learning).
• Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks.
• Deep understanding of time-series modeling, anomaly detection, and risk analytics.
• Experience with big data processing and financial data pipelines.
• Ability to deploy scalable ML models in a cloud environment.

Deliverables & Timeline

• Machine Learning for Exception Classification (MLEC): Working codes & documentation
• Missing Value Imputation: Implementation & validation reports
• Early Warning Signals: Data onboarding & anomaly detection models
• Model Surveillance: Fully documented monitoring framework
• Securities Lending: Clustering algorithms for financial markets
• Advanced Data QC: Development of a general-purpose QC library

Preferred Qualifications

• Prior experience in investment banking, asset management, or trading desks.
• Strong foundation in quantitative finance and financial modeling.
• Hands-on experience with TensorFlow, PyTorch, and AWS/GCP AI services

Thanks and Have a Great Day!!