W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.
Job Overview
Job ID: J36993
Specialized Area: Machine learning
Job Title: Machine Learning Software Engineer
Location: Plano, TX
Duration: 6 Months
Domain Exposure: Banking & Finance, Telecom, IT/Software
Work Authorization: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Responsibilities
- Expertise in application, data and infrastructure architecture disciplines.
- Advanced knowledge of architecture, design across all systems.
- Knowledge of industry-wide technology strategies and best practices.
- Keen understanding of financial control and budget management.
- Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture.
- Experience with Machine Learning, Deep Learning, Data Mining, and/or Statistical Analysis tools.
- Strong hands-on experience with developing and deploying machine learning based models, statistical models, data mining, and business rules.
- Background on basic machine learning techniques including supervised, unsupervised, reinforcement and deep learning.
- Experience with machine learning tools such as Scikit Learn, Pandas, TensorFlow, SparkML, SAS, R, H20, Keras, Theano, etc.
- Familiarity with feature engineering and management, data and model governance and oversight.
ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
#J-18808-Ljbffr