Job details
Job type full-time
Full job description
As part of the enterprise innovation labs, the principal engineer- machine learning is responsible for technology innovation and the next generation ai automation platforms by employing data analytics and various data science capabilities (i.eMachine learning, deep learning)Incumbents will be part of an innovative and energetic team with robust ml and industry experience that develops capabilities which will drive long-term success for raymond jamesThe principal engineer- machine learning will have access to the vast amount of data to solve complex problems independently and demonstrate analytical thinking and is able to make judgements and recommendations based on the analysis and interpretation of dataThis role will be based out of our headquarters in stPetersburg, fl, however we are open to remote candidates that are based out of other locations in the u.s as well.
Essential duties and responsibilities:
Identify, research, prototype, and build predictive products.
Build cutting-edge models for understanding vast amounts of textual data.
Write quality production code.
Write tests to ensure ml system reliability.
Work closely with devops software engineers to launch systems.
Guide and mentor team members and help educate the business stakeholders.
Qualifications
Knowledge, skills, and abilities:
Knowledge of:
You have at least one core programming expertise, such as python (numpy, scipy, pandas) or r.
Experience with advanced machine learning methods in nlp.
Strong statistical knowledge, intuition, and experience modeling real data.
Ability to communicate complicated methods and results to a broad, often non-technical audience.
Demonstrated effective coding, documentation, and communication habits.
Experience in financial services or wealth management industries strongly preferred.
Skill in:
Proven nlp machine learning skills, including transformer, bert, k-shot learning, xgboost, tensorflow, pytorch, keras, elasticsearch, etc.
Experience in researching, evaluating and implementing different algorithms and tools for nlp tasks.
Knowledge in development of statistical and machine learning models, including model validation, monitoring, explainability, and interpretability.
Experience in spark, kafka, mongo, neo4j, aws ecosystem are plus.
Ability to:
Ability to work remote independently with passion and maintain excellent communication and progress.
Identify and understand issues, problems and opportunities; compare data from different sources to draw conclusions.
Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
Demonstrate a satisfactory level of technical and professional skill or knowledge in position-related areas; remains current with developments and trends in areas of expertise.
Develop and use collaborative relationships to facilitate the accomplishment of work goals.
Education/previous experience:
Minimum of a bachelor’s degree in statistics, mathematics, computer science, mis or related degree and seven (7) years of relevant experience or combination of education, training and experience or an equivalent combination of education, experience and training.
Master’s degree or phd in statistic, mathematics, or computer science and ten (10) years of experience highly preferred.
Licenses/certifications:
None required.
Raymond james guiding behaviors at raymond james our associates use five guiding behaviors (develop, collaborate, decide, deliver, improve) to deliver on the firm`s core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm
Job technology primary location us-fl-stPetersburg-saint petersburg other locations united states organization technology schedule full-time shift day job travel yes, 10 % of the time
Eligible for discretionary bonus yes
