Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level
EITAcies, Inc.
Machine Learning Engineer Data Scientist (Remote)
Machine Learning Engineer Data Scientist | EITAcies, Inc. |United States
About US : Since 2008, EITACIES hasbeen a beacon of innovation, crafting tailored tech solutions. From humblebeginnings, we’ve grown globally, nurturing client relationships andadapting to digital shifts. Today, we’re a tech powerhouse,...Machine Learning Engineer Data Scientist | EITAcies, Inc. | United States
About US : Since 2008, EITACIES has been a beacon of innovation, crafting tailored tech solutions. From humble beginnings, we’ve grown globally, nurturing client relationships and adapting to digital shifts. Today, we’re a tech powerhouse, delivering customized excellence from startups to Fortune 500, State & Federal clients.
Job Details:
Job Title: Machine Learning Engineer Lead Level 3
Job Location: Remote
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.
Job Description:
Technical Skills and Expertise :
Machine Learning Proficiency ; Data Handling ; Python Programming skills ; Skills to integrate ML models into existing systems for seamless data flow and model deployment including Azure big data and analytics experience.
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.”
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.
Regards,
EITACIES Inc
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.Report this job
Machine Learning Engineer Data Scientist | EITAcies, Inc. | United States
About US : Since 2008, EITACIES has been a beacon of innovation, crafting tailored tech solutions. From humble beginnings, we’ve grown globally, nurturing client relationships and adapting to digital shifts. Today, we’re a tech powerhouse, delivering customized excellence from startups to Fortune 500, State & Federal clients.
Job Details:
Job Title: Machine Learning Engineer Lead Level 3
Job Location: Remote
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.
Job Description:
Technical Skills and Expertise :
Machine Learning Proficiency ; Data Handling ; Python Programming skills ; Skills to integrate ML models into existing systems for seamless data flow and model deployment including Azure big data and analytics experience.
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.”
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.
Regards,
EITACIES Inc
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
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