Machine Learning Engineer

Machine Learning Engineer page is loaded## Machine Learning Engineer remote type:
This position is a hybrid of office/remote working locations:
United States of America - Colorado - Denver:
United States of America - Texas - Houston time type:
Full time posted on:
Posted 2 Days Agojob requisition :
RQ094457
** Entity:
** Production & Operations
** Job Family Group:
** IT&S Group
*
* Job Description:

**##
** 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 be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx’s data science journey in a nascent technology stack.

The ML Engineer will have significant freedom and latitude to suggest and implement solutions.##
** Key Accountabilities
*** Implement data science algorithms in bpx’s ML Studio Sage Maker).
* Create systems and processes to monitor performance of ML algorithms in production.
* Serve as the subject matter expert of ML Operations and guides 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 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 geographically dispersed team, effectively communicating prioritized business needs and prioritized 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 any other related quantitative field.
* 7+ years in data science or related field, 3+ years of hands-on experience in machine learning operations.
* Proven track record of implementing and scaling models in an operations or customers 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.

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 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. We 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
** Relocation Assistance:
** This role is not eligible for relocation
** 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 Structures and Algorithms (Inactive), 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…