Machine Learning Engineer

Role Synopsis

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio. The role will serve as a subject matter expert in machine learning operations and the associated technology. It will bridge the gap between pure data science and the computational requirements needed to meet business outcomes.
Key Accountabilities Implement data science algorithms in bpx’s ML Studio SageMaker. Create systems and processes to monitor performance of ML algorithms in production. Serve as the subject matter expert of ML Operations and guide data scientists in the practical implications of model design. Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi. Partner with the bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions. Takes initiative and stays up-to-date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department. Work as part of a geographically dispersed team, effectively communicating prioritized business needs and project statuses. Design systems to balance cost and performance to meet business outcomes. Essential Education and Experience A Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or another related quantitative field. 7 years in data science or related field, with 3 years of hands‑on experience in machine learning operations. Proven track record of implementing and scaling models in an operations or customer‑focused company. Strong programming skills: Python and Cloud Implementation. Scripting experience with big data, real‑time streaming data technologies, and cluster computing environments. Knowledge and exposure to cloud technologies, especially AWS. Must be legally authorized to work in the US without sponsorship. Compensation

$119,000‑$140,000
Why Join Our Team?

At bpx, we provide an excellent working environment and a reward and wellbeing package to enable your work to fit with your life. These can include, but are not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long‑term incentive program, and a generous 401K matching program. We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity and are committed to crafting an inclusive environment in which everyone is respected and treated fairly. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Don’t hesitate to get in touch with us to request any accommodations!
Travel Requirement

Negligible travel should be expected with this role.
Remote Type

This position is a hybrid of office/remote working.
Skills Commercial Acumen Communication Data Analysis Data Cleansing and Transformation Data Domain Knowledge Data Integration Data Management Data Manipulation Data Sourcing Data Strategy and Governance Data Visualization and Interpretation Digital Security Extract, Transform, and Load Group Problem Solving Legal Disclaimer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you are selected for a position and depending on your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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Benefits

• dental_coverage
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• health_insurance