Machine Learning Engineer at Jobot

New York, NY 10002

About the Job

W2 Temp to Perm job working with top 100 fortune companies. Must be US Citizen or Green card Holder - Fully Remote w/Occasional Travel

This Jobot Consulting Job is hosted by: Kevin Shilney
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $65 - $100 per hour

A bit about us:

*Must be US Citizen or Green Card Holder and reside within the United States* *W2 only* - If you do not fit this criteria your application will be immediately rejected

We are a forward-thinking organization dedicated to delivering exceptional results in a collaborative and innovative environment. With a strong focus on delivering cutting-edge solutions we take pride in empowering our team members to grow and excel in their careers. Our commitment to excellence drives us to constantly evolve and stay ahead of industry trends while maintaining a supportive and inclusive workplace culture.

Why join us?

Medical, Dental, Vision insurance provided by Jobot - 75% paid by employer for employee, 25% by employer for dependents.
Weekly pay
401k plan available
Conversion to permanent employee with full benefits, 401k, and more

Job Details

We are looking for a skilled machine learning engineer with expertise in PyTorch and TensorFlow to join our AI team. In this role, you will focus on building, training, and deploying deep learning models to tackle complex challenges across various domains.

Responsibilities:

Design and optimize deep neural network architectures using frameworks such as PyTorch, TensorFlow, and Keras.
Train models on large structured and unstructured datasets utilizing GPU/TPU infrastructure.
Apply techniques like transfer learning and neural architecture search to enhance model accuracy iteratively.
Develop data pipelines to preprocess, clean, and transform training data for models.
Convert research implementations into production-ready models while maintaining high accuracy.
Monitor and continuously improve model performance in production environments.
Stay informed about the latest advancements in deep learning and AI research.

Requirements:

3+ years of experience developing AI/ML solutions with Python.
Strong understanding of deep learning concepts and techniques such as CNNs, RNNs, LSTMs, etc.
Extensive hands-on experience building models using PyTorch and TensorFlow.
Familiarity with AI model training/serving paradigms and MLOps, including prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
Proficiency with common data science libraries like Pandas, NumPy, and Scikit-Learn.
Understanding of AI model interpretability and explainability techniques.
Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or a related field.
Strong problem-solving and communication skills.
This role is ideal for an engineer passionate about leveraging advanced deep learning frameworks to create innovative AI solutions and delivering impactful results.

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.