| Machine Learning Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Gagan Shrivastava, TEK Inspirations LLC [email protected] Reply to: [email protected] Job Title: Machine Learning Engineer Location: Hybrid. Vienna, VA. (2 days a week or 8 days a month). Duration: 6+ months MOI: Skype. Note: Need Local Candidates of VA. Resume no longer than 5 pages. JOB DESCRIPTION: Please provide candidates Active LinkedIn Profile with profile picture as it is Required. Also I have a Skills Matrix which is to fill by candidate at time of Submission. Need Candidates with at least 10 Years of Total Professional Experience. 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 (Skills which are mentioned below, will be mentioned in the Skill Matrix, so all the points are very important): Bachelors degree in computer science, mathematics, physics, statistics, or related field. 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. Desired: Experience with Natural Language Processing. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. 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. Thanks & Regards, Gagan Shrivastava Technical Recruiter TEK Inspirations LLC | 13573 Tabasco Cat Trail, Frisco, TX 75035 Linkedin: linkedin.com/in/gagan-shrivastava-a7b15b22a Keywords: cplusplus artificial intelligence information technology Texas Virginia Machine Learning Engineer [email protected] |
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| Sat Oct 05 05:30:00 UTC 2024 |