ML Engineer - San Francisco, CA -Hybrid once a week onsite - W2 Only - San Francisco California

Company: Triunity Software, Inc.
Location: San Francisco, California
Posted On: 01/28/2025

ML Engineer -- San Francisco, CA -Hybrid once a week onsite -- W2 OnlyML EngineerLocation: San Francisco, CA - Hybrid once a week onsiteDuration: 12+ MonthsNote:

• W2 Or 1099 Only.
• Local to CA Only.
• Min 10+ Years of experience.Required Skills & Experience:
  • Hands-on code mindset with a deep understanding of technologies/skillset and an ability to understand the larger picture.
  • Sound knowledge to understand Architectural Patterns, best practices, and Non-Functional Requirements.
  • Overall, 8-10 years of experience in heavy volume data processing, data platform, data lake, big data, data warehouse, or equivalent.
  • 5+ years of experience with strong proficiency in Python and Spark (must-have).
  • 3+ years of hands-on experience in ETL workflows using Spark and Python.
  • 4+ years of experience with large-scale data loads, feature extraction, and data processing pipelines in different modes - near real-time, batch, real-time.
  • Solid understanding of data quality and data accuracy concepts and practices.
  • 3+ years of solid experience in building and deploying ML models in a production setup. Ability to quickly adapt and take care of data preprocessing, feature engineering, model engineering as needed.
  • 3+ years of experience working with Python deep learning libraries such as PyTorch, Tensorflow, Keras, or equivalent.
  • Prior experience working with LLMs, transformers. Must be able to work through all phases of model development as needed.
  • Experience integrating with various data stores, including:
    • SQL/NoSQL databases
    • In-memory stores like Redis
    • Data lakes (e.g., Delta Lake)
    • Experience with Kafka streams, producers & consumers.
    • Required: Experience with Databricks or similar data lake/data platform.
    • Required: Java and Spring Boot experience with respect to data processing - near real-time, batch based.
    • Familiarity with notebook-based environments such as Jupyter Notebook.
    • Adaptability: Must be open to learning new technologies and approaches.
    • Initiative: Ability to take ownership of tasks, learn independently, and innovate.
    • With technology landscape changing rapidly, ability and willingness to learn new technologies as needed and produce results on the job.
    • Preferred Skills:
    • Ability to pivot from conventional approaches and develop creative solutions.Compensation: $60.00 - $65.00 per hour
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