Hiring Now :: Machine Learning Engineer :: Remote at Remote, Remote, USA |
Email: [email protected] |
From: Amit Kumar Pradhan, Vyze Inc. [email protected] Reply to: [email protected] Job Description - Title Machine Learning Engineer (lvl 3) Senior/lead Visa Native USC HIGHLY PREFER, GC Duration Contract to hire. Location Remote (No travel) Top 3 skills - Machine Learning Proficiency: Strong understanding of machine learning algorithms and principles, especially those relevant to anomaly detection, such as supervised and unsupervised learning, clustering, and neural networks. Soft Skills Needed - This person will be a hands on lead Prescreening Details - 5 video interview questions and a game Interview process and when will it start - one round with HM and architect When do you want this person to start - ASAP Required Working Hours - Normal working hours Project person will be supporting - Supply Chain ML Initiative Team details ie. size, dynamics, locations - Brand new team, will form around this person Work Location (in office, hybrid, remote) - Remote, EST Is travel required - No Requirements Strong understanding of machine learning principles, especially anomaly detection techniques Expertise in managing, processing, and analyzing large datasets, including data cleaning and feature engineering Proficiency in Python programming for machine learning tasks Ability to develop and evaluate robust ML models for anomaly detection Experience integrating ML models into existing systems, preferably with Azure Analytical mindset to identify data patterns indicating anomalies Innovative problem-solving skills to enhance anomaly detection Attention to detail in model tuning and data interpretation Effective communication of ML concepts to non-technical stakeholders Collaborative approach to align ML models with business objectives Typical Duties Ensure adherence to architecture standards and roadmaps. Implement overall infrastructure/middleware components per project with infrastructure teams, ensuring solutions meet SLA (performance and up-time), DR, and scalability needs. Design and successfully implement overall infrastructure/middleware components per project with infrastructure teams, ensuring solutions meet SLA (performance and up-time), DR, and scalability needs. Ensure post-production operational processes/deliverables are well designed and implemented before the project moves into the solution support phase. Define and create operational procedures, processes, and scripts. Follow appropriate change/release management practices. Support and maintain infrastructure solutions using necessary tools and technologies, providing off-hours support as required. Keywords: machine learning information technology green card Hiring Now :: Machine Learning Engineer :: Remote [email protected] |
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Fri May 17 09:31:00 UTC 2024 |