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Machine learning engineer II REMOTE ROLE

$75-85 / hour
Full-time
Remote
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PAY: $75-85/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance. 
100% remote role, candidates should be in CT or ET. 
W2 candidates only, C2C not possible. 

Description

As Senior machine learning engineer, you will play a pivotal role in the development, deployment and ongoing improvement of state-of-the-art machine learning models and systems to solve complex business challenges. The vision of the department is to empower technologists to accelerate business value delivery by building production-grade, packaged solutions that are secure, scalable, and compliant with Firm standards and policies.
The day to day:

  • Build end-to-end Client solutions - from data extraction and cleaning to model development, evaluation, and deployment
  • Research and prototype different modeling techniques to solve for accuracy, explainability, and other objectives
  • Continuously monitor and improve model performance in production environments
  • Develop frameworks, tools, and standards to enable scalable and reproducible machine learning development
  • Collaborate with team members to resolve technical and code related issues.
  • Participate in agile standard practice, ceremonies and demos

Basic qualification:

  • 3+ years of experience building, deploying, and managing machine learning models in production environments
  • 2+ years of experience with cloud platforms such as AWS, GCP, or Azure
  • Strong programming skills in languages such as Python or Java.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Experience of Client deployment practices including Experiment tracking, model versioning, monitoring, CI/CD using GitHub & terraform etc.
  • Ability to communicate complex technical concepts clearly and effectively
  • Strong problem-solving skills and analytical capabilities

Preferred:

  • Familiarity with networking, Gen-AI, LLM training, and other cutting-edge techniques
  • Experience in the security domain
  • Knowledge of model observability

 

Last updated on Oct 25, 2023

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