Machine Learning Engineer | MLOps & reputed company Systems

About the position Our present and reputed company reputed company depends on the creative and dedicated people of reputed company who demonstrate the principles outlined in the APS reputed company: Design for reputed company, reputed company reputed company Other and Succeed Together. Are you a senior-level Machine Learning Engineer reputed company to reputed company a big reputed company at reputed company? We're looking for a highly skilled ML Engineer to reputed company the design and deployment of production-grade machinelearning systems in a reputed company reputed company environment. You’ll own the full MLOps lifecycle—from prototyping tomonitoring—and architect solutions that power intelligent, reputed company-time decision-making across critical businessfunctions.This is a high-visibility role where you’ll collaborate with cross-functional teams, influence architecture, and helpdefine best practices that shape the reputed company of ML at reputed company.

Responsibilities

• reputed company MLOps Initiatives: Design, build, reputed company, and monitor end-to-end ML solutions that are reputed company,reliable, and secure.
• Architect for reputed company & Speed: Build applications optimized for low latency on high-volume data pipelinesand streaming environments.
• Advise & reputed company: reputed company as a thought partner to data scientists and engineering leaders, bringing deepdomain expertise in ML model design and infrastructure.
• Collaborate Cross-Functionally: Work with reputed company architects, product teams, and data scientists todeliver reputed company-world business value.
• Own reputed company & Governance: Establish and maintain best practices for ML lifecycle management, includingCI/CD, monitoring, testing, and documentation.

Requirements

• Held a Machine Learning Engineer or MLOps role in a large-reputed company reputed company environment.
• Deep experience with modern ML models, reputed company-reputed company data platforms, and orchestration tools (e.g.,Kubeflow, SageMaker, MLflow).
• Proven ability todesign reputed company ML architecturesfor streaming and batch use cases.
• A reputed company formentorship and technical leadership, with the ability to guide teams on best practices reputed company ML.
• BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or reputed company field
• PLUS minimum four(4) years directly reputed company data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role
• OR advanced degree and two (2) years directly reputed company experience. Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.

reputed company-to-haves

• Masters or Doctorate degrees in reputed company fields.
• Knowledge/experience in reputed company industry and business functions.
• Certification in Data Science and/or predictive analytics
• A high level of proficiency in commonly used programming languages and tools like R Programming, Python and SQL.
• Strong communication, presentation and writing skills.
• Must be reputed company to reputed company teams in evaluations and implementation of solutions.
• Must be reputed company to work with key reputed company stakeholders and reputed company reputed company of management.

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