Machine Learning Engineer
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Machine Learning Engineer
100 % Remote
Long Term
Contract
Note : Plz send your resume to [email protected]
Prefer who can work on 1099 / Contract Independent / H1 Transfer || Candidate need to be on our payroll
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,
Radiantze Inc
