Senior Machine Learning Engineer C2C jobs Contract Remote role only

Senior Machine Learning Engineer
Contract
Remote

Must have very strong experience with Tensor Flow, PyTorch and neural networks.  
Candidates must have at least 8 years of experience in Tensor Flow, PyTorch and neural networks and it must be very very very visible on the resumes
 

Responsibility: 
• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. 
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. 
• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. 
• Research and evaluate emerging technologies. 
• Develop data science solutions based on tools and cloud computing infrastructure. 

Qualifications: 
• Bachelor’s degree in computer science
• Strong experience with applying expertise in model design, training, validation, and monitoring. 
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. 
• Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. 
• Experience with cloud computing infrastructure. 
• Advanced SQL skills. 
• Experience with data visualization concepts and tools. 
• Ability to convey complex business problems to technical solutions. 
• Ability to work individually, and as part of a team. 
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. 
• Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. 

Desired: 
• Advanced degree in in computer science, mathematics, physics, statistics, or related field. 
• Experience with Natural Language Processing. 
• Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI. 
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. 
• Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. 
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.

Thanks & Regards,
   Sam S