Machine learning engineer II REMOTE ROLE

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