| Lead Machine Learning Engineer_ 100% REMOTE (MUST work EST hours)_ USC and GC only at Remote, Remote, USA |
| Email: [email protected] |
| Lead Machine Learning Engineer 100% REMOTE (MUST work EST hours) 6+ month USC and GC only Video Interviews 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 Project person will be supporting - Supply Chain ML Initiative Team details ie. size, dynamics, locations - Brand new team, will form around this person Technical Skills and Expertise 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. Data Handling: Expertise in managing, processing, and analyzing large datasets. Familiarity with data cleaning, data transformation, and feature engineering is crucial. Programming Skills: Proficiency in programming languages commonly used in machine learning such as Python. Model Development and Evaluation: Ability to develop robust ML models and evaluate their performance through metrics specific to anomaly detection. System Integration: Skills to integrate ML models into existing systems for seamless data flow and model deployment including Azure big data and analytics experience. Problem-Solving Skills Analytical Thinking: Ability to analyze complex data and identify patterns or inconsistencies that may indicate problems. Creative Problem Solving: Capacity to devise innovative solutions that improve detection and prediction of anomalies. Attention to Detail: Precision in model tuning and the interpretation of data to ensure high accuracy and reliability of outputs. Communication and Collaboration Clear Communication: Ability to explain complex ML concepts and findings to non-technical stakeholders. Collaborative Spirit: Willingness to work closely with IT teams, data scientists, and other departments to ensure models align with broader business objectives. Key Responsibilities: Ensure adherence to architecture standards and roadmaps. Implement overall infrastructure / middleware components per project with infrastructure teams, ensuring that overall solution is designed to meet SLA (performance and up-time), DR, and scalability needs required by the solution. Design and successfully implement overall infrastructure / middleware components per project with infrastructure teams, ensuring that overall solution is designed to meet SLA (performance and up-time), DR, and scalability needs required by the solution. Ensure that post-production operational processes / deliverables are well designed and implemented prior to the project moving into the solution support phase. Define and create operational procedures, processes, and scripts. Follow appropriate change/release management practices. Support and maintain infrastructure solutions utilizing required tools and technologies. Provide off-hours support (24 x 7) as required." Thank you! Have a great day, Sanju Singh | Senior IT Recruiter DRK America LLC |Naperville, IL 60563 [email protected] D : 630-937-0022 M: 872-310-6994 -- Keywords: machine learning information technology green card Illinois Lead Machine Learning Engineer_ 100% REMOTE (MUST work EST hours)_ USC and GC only [email protected] |
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| Fri May 03 21:09:00 UTC 2024 |