Phaxis
Machine Learning Developer
Phaxis, New York, New York, us, 10261
MACHINE LEARNING DEVELOPER AT GLOBAL FINTECH FIRMBase Salary is $250K to $350K (based upon candidate and experience)Plus Year-end Bonus; Sign-on Bonus (if/where applicable); and Excellent Benefits
Solidly established Global FinTech Firm is looking for an experienced
software engineering professional
to join its team as a
Machine learning Developer.
In this role, you will work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data.
We have returned to the office in a hybrid model where employees will be in the office Tuesdays through Thursdays, with the option to work from home on Mondays and Fridays.
QUALIFICATIONS AND SKILLS
Bachelor's Degree
requiredStrong knowledge of software engineering, machine learning, and open-source machine learning ecosystemsProven track record of building and applying high-performance machine learning systems
is desired
RESPONSIBILITIES OVERVIEWSpecific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation.
Solidly established Global FinTech Firm is looking for an experienced
software engineering professional
to join its team as a
Machine learning Developer.
In this role, you will work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data.
We have returned to the office in a hybrid model where employees will be in the office Tuesdays through Thursdays, with the option to work from home on Mondays and Fridays.
QUALIFICATIONS AND SKILLS
Bachelor's Degree
requiredStrong knowledge of software engineering, machine learning, and open-source machine learning ecosystemsProven track record of building and applying high-performance machine learning systems
is desired
RESPONSIBILITIES OVERVIEWSpecific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation.