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

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

Full Time • Hybrid - US
Hi,
I hope this email finds you well.
My name is Swati, and I am a Technical Recruiter from Triunity Software Inc. I came across your profile and wanted to reach out regarding a ML Engineer, role with one of our clients. Please let me know if you are available in the job market and interested in this role (see job description below) - if so, we can connect and speak further.
I would need your updated resume to proceed and can give you a call as soon as I have it.
Role: ML Engineer
Location: San Francisco, CA -Hybrid once a week onsite
Duration: 12+ Months

Note:
W2 Or 1099 Only.
Local to CA Only.
Min 10+ Years of exp

Required Skills & Experience:
  • Hands-on code mindset with deep understanding in technologies / skillset and an ability to understand 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, realtime.
  • Solid understanding of data quality, 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 like any or more than one of these - PyTorch, Tensorflow, Keras or equivalent.
  • Prior experience working with LLMs, transformers. Must be able to work through all phases of the 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 job.
  •  
  •  Preferred Skills:
  • Ability to pivot from conventional approaches and develop creative solutions.
Thanks & Regards
Swati Sahu| Talent Acquisition Specialist | Triunity Software Inc.
Email: swati@triunitysoft.com 
A: 200 Middlesex Essex Turnpike ,  Suite #100, Edison NJ 08830

Flexible work from home options available.

Compensation: $60.00 - $65.00 per hour




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