Senior • Staff • Principal Machine Learning Engineer

2 weeks ago

New York, NY, United States Lead Allies Inc. Full time

Senior / Staff / Principal Machine Learning Engineer

Location: Onsite New York (5 days onsite AND hybrid options)

We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.

Key Responsibilities:

  • Model Development:
    Designing and implementing ML algorithms and models, including deep learning models.
  • Data Handling:
    Preprocessing, analyzing, and preparing large datasets for model training and evaluation.
  • System Integration:
    Collaborating with software engineers to integrate ML models into production systems.
  • Performance Optimization:
    Continuously improving and optimizing ML models for accuracy, efficiency, and scalability.
  • Monitoring and Maintenance:
    Monitoring model performance in production, troubleshooting issues, and ensuring model reliability.
  • Staying Updated:
    Keeping abreast of the latest advancements in ML, AI, and related technologies.
  • Collaboration:
    Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.
Essential Skills:
  • Programming Languages: Strong proficiency in Python, R, or other relevant languages.
  • ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms.
  • Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges.
  • Communication: Effective communication skills to convey technical information to both technical and non-technical audiences.
  • Collaboration: Ability to work effectively in a team environment.
Education and Experience:
  • A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.
  • Several years of experience in machine learning, data science, or software development is often preferred.

Compensation: Market range and can include equity - details can be provided after the specific client is determined.

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