Machine Quantative Engineer | Reston VA | Plano TX | Hybrid | No OPT | CPT | GC | C2C | C2H | W2C

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/