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Selected role

Pilot Company - Machine Learning Engineer - Direct Hire [Remote]

Braintrust CA San Francisco, California, United States

$125k - $135k Senior Full-time

JOB TYPE: Direct Hire Position (no agencies/C2C - see notes below)
LOCATION: Atlanta, GA, USA (Time Zone: EST | Full day overlap)
SALARY: $125,000 – $135,000/yr
ESTIMATED DURATION: 40hr/week

THE OPPORTUNITY

Requirements

MUST BE LOCATED NEAR ATLANTA

This is a hybrid role, so you must be able to come into the office a couple of days a week.

Here is the core they are looking for:

Must Haves:

Python
End-to-end machine learning projects
Experience evaluation and optimizing model performance in development and production
Developing and optimizing machine learning infrastructure and pipelines
Able to detect feature drift and concept drift

Nice to Haves

AWS or Databricks certifications in machine learning
Experience working in Databricks

Full Job Description

Summary

The purpose of this job is to implement machine learning models into
production by utilizing state-of-the-art tools/algorithms and methodologies
following DevOps and a test-driven development process.

Essential Functions

Deliver systematic approaches, integrating work into applications and tools with our influence, build and maintain the large-scale analytics
infrastructure required for the AI projects, and integrate with external IT
infrastructure/service to provide e2e solutions
Leverage an understanding of software architecture and software patterns
to write scalable, maintainable, well-designed, and future-proof code
Design, develop, and maintain the framework for analytical pipeline
Design machine learning systems and implement appropriate ML
algorithms and tools in collaboration with the data science team
Implement best MLOps practices for automation, monitoring, scaling, and
reliability
Model behaviors that support the company’s common purpose; ensure
guests and team members are supported at the highest level
Ensure all activities are in compliance with rules, regulations, policies, and
procedures
Complete other duties as assigned

Qualifications

Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or any Quantitative field
Master’s degree preferred
Proficiency in at least one of the following programming languages:
Python, C++, or Java
Minimum 5 years of experience in Data Science, Machine Learning,
Software Engineering, or another quantitative discipline required
Minimum 5 years of experience with some, but not all the technologies
mentioned in the Specialized Knowledge section

Specialized Knowledge

Experience architecting machine learning pipelines, including designing, and improving infrastructure for ingesting, storing, and transforming data
Experience with the usage and implementation of CI/CD pipelines using Jenkins, GitHub Actions, TravisCI, or CircleCI
Experience with scalable distributed systems hosted on cloud providers
Experience implementing efficient machine learning pipelines at scale by utilizing distributed and/or GPU hardware optimizations methods
Experience with data ETL processes and both SQL and noSQL databases and manipulating large structured or unstructured datasets for analysis
Experience training machine learning models by applying feature engineering, model selection, sampling, and model evaluation strategies using Python frameworks such as scikit-learn, Pandas, Pytorch, NumPy, and PySpark
Experience developing and deploying scalable implementations of model training and model serving using any of the following technologies:
MLFlow, AWS SageMaker, Triton Inference Server, ONNX RunTime, TorchScript, or TensorFlow RunTime
Experience with version control systems (e.g., GitHub, GitLab)

Nice to have:

Some experience implementing neural networks at scale
Some experience with the Databricks Lakehouse Platform
Some experience with C++, CUDA, or the NVIDIA RAPIDS suite
Databricks Certified Associate Developer for Apache Spark 3.0 certification
Databricks Certified Machine Learning Associate certification

Competencies:

Ability to lead, coach, mentor and motivate a diverse team; ensure team
and individual accountability and performance standards are met
Ability to prioritize, multitask and manage multiple projects successfully in
a fast-paced and dynamic environment
Strong organizational skills with attention to detail
Ability to communicate and interact effectively with different levels of the
organization to negotiate, problem solve, complete projects and influence
decision making
Strong analytical and strategic thinking skills
Self-motivated with ability to work both independently and within teams
in order to establish and meet deadlines, goals, and objectives
Excellent customer service skills

Apply Now!

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