Role: Machine Quantitative Engineer
Location: Reston, VA & Plano, TX (Hybrid)Visa: Candidates must have valid work authorization in the United States (NO OPT, CPT, GC)
Contract Type: C2C, W2C, C2H
Job Details:
- Develop and implement quantitative models and algorithms for machine learning applications.
- Collaborate with data scientists and engineers to integrate models into production systems.
- Analyze large datasets to derive insights and improve model performance.
- Implement and optimize machine learning pipelines and workflows.
- Stay updated with advancements in machine learning and quantitative analysis.
Job Responsibilities:
- Develop and implement quantitative models and algorithms for machine learning applications.
- Collaborate with data scientists and software engineers to integrate models into production systems.
- Analyze large datasets to derive insights and improve model performance.
- Implement and optimize machine learning pipelines and workflows.
- Stay updated with advancements in machine learning and quantitative analysis.
Skills Required:
- 10+ years of experience in quantitative analysis, machine learning, or related fields.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Experience with statistical modelling, data mining, and predictive analysis techniques.
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
- Excellent communication skills and ability to collaborate effectively in a team environment.
Connect with Us: https://www.linkedin.com/in/dreakansh-151217126/
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