Overview
Job Description
Job Description
Machine Learning Engineer | TensorFlow, Deep Learning, NLP, ML, AI, PyTorch, Python
Location: New York, NY (Hybrid) – Partial Remote (Few days a week in the office)
Pay: $185k-$245k + Equity + Benefits + Bonuses & more
Skills: TensorFlow, Deep Learning, NLP, ML, AI, PyTorch, Python
Important Note: This role is only suitable for candidates based in New York, NY or for candidates in Nationwide in USA.
About The Job
Solere is looking to hire a Machine Learning Engineer for one of our clients specializing in Data and Generative AI products for various sectors. Their platform is supporting businesses in different sectors with the tools and knowledge to make critical business decisions faster.
We are looking for a Senior Machine Learning Engineer to dive into a fast-growing startup developing models that improve data processing pipeline and our client deliver new features to the market with unmatched speed and accuracy.
Responsibilities
• NLP Algorithm Development
• Model Training and Optimization
• Data Pre-processing and Feature Engineering
• Entity Resolution and Disambiguation
• Collaboration with Cross-functional Teams
• Research and Innovation
• Code Review and Mentorship
You Must Have
• 5+ years of experience in machine learning, with a focus on NLP.
• Proven experience in information extraction, disambiguation and resolution.
• Solid skills in Python and other (PyTorch, TensorFlow, scikit-learn).
• Experience with deep learning architectures
Nice To Have Skills
• Experience in training and deploying large language models
• Understanding of cloud computing platforms.
• Familiarity with modern ML Ops tools (Weights, Modal, Sagemaker, and Modal.)
Important note: Solere is acting as a recruitment agency to this role. By applying to this role here you agree for Solere to share your profile with suitable jobs roles based on your skills.
Company:
RemoteWorker CA
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
