Senior Python Developer

2 days ago


San Francisco, California, United States Bayone Full time

About Bayone

Bayone is a leading technology company dedicated to delivering innovative solutions that drive business growth and improvement. Our team of experts is passionate about harnessing the power of AI and machine learning to create value for our clients.

Salary

We offer a highly competitive salary package, estimated to be around $160,000 per year, based on industry standards and locations with a high cost of living.

Job Description

We're seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science department, you will be responsible for developing and deploying AI models that drive business success.

Responsibilities

  • Design and Develop AI Models

Design, develop, and deploy AI models that drive business growth and improvement.

Work with Large-Scale Data Sets

Process and analyze large-scale data sets to identify trends and insights.

Collaborate with Cross-Functional Teams

Work closely with cross-functional teams to ensure seamless integration of AI models into our products and services.

Requirements

  • Python and Spark Experience

5+ years of experience with Python and Spark is required.

ETL Workflows Experience

3+ years of hands-on experience in ETL workflows using Spark and Python is required.

Large-Scale Data Loads Experience

4+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes - near real time, batch, real-time.

ML Model Deployment Experience

3+ years of solid experience in building and deploying ML models in a production setup is required.

Deep Learning Libraries Experience

3+ years of experience working with Python deep learning libraries like PyTorch, Tensorflow, Keras, or equivalent is essential.

LLMs and Transformers Experience

Prior experience working with LLMs, transformers is required, and the ability to work through all phases of model development as needed.

Data Stores Integration Experience

Experience integrating with various data stores, including SQL/NoSQL databases, In-memory stores like Redis, and Data lakes (e.g., Delta Lake).

Kafka Streams Experience

Experience with Kafka streams, producers & consumers is required.

Databricks Experience

Required: Experience with Databricks or similar data lake / data platform.

Java and Spring Boot Experience

Required: Java and Spring Boot experience with respect to data processing - near real time, batch-based.

Notebook-Based Environments Experience

Familiarity with notebook-based environments such as Jupyter Notebook.

Adaptability and Initiative

Ability to take ownership of tasks, learn independently, and innovate.

What We Offer

We offer a comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) plan with company match.

Why Join Us

We're committed to creating a diverse and inclusive work environment where everyone feels valued and respected.



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