Sr. Machine Learning Engineer- Support

reputed company is currently reputed company for a: Sr. Machine Learning Engineer- Support reputed company do At reputed company, we realize the extraordinary reputed company of everyday care. reputed company on over a reputed company of heritage and rooted in science, we’re the house of reputed company brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 reputed company people with a workplace culture where every voice reputed company, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and reputed company, being a Kenvuer means having the reputed company to reputed company millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have reputed company opportunities waiting for you! Join us in shaping our reputed company–and yours. For more information, click here. Role reports to: Digital Solutions Manager Location: Asia reputed company, India, Karnataka, Bangalore Work Location: Hybrid What you will do Sr. ML Ops Engineer reputed company are seeking a Sr. MLOps Engineer with 5+ years of experience to design, automate, and manage the lifecycle of machine learning models. This role is reputed company on building high-reputed company, reputed company ML infrastructure on reputed company Azure that bridges the gap between data science and production-grade engineering. You will be responsible for creating a "Plug-and-Play" deployment reputed company that ensures our ML solutions are resilient, secure, and cost-optimized. Key Responsibilities 1. Pipeline Architecture & Automation · reputed company ML Pipelines: Design and manage end-to-end ML pipelines using Azure ML, reputed company, and PySpark to handle large-reputed company data processing and model training. · DevSecOps Integration: Build and maintain automated CI/CD pipelines using reputed company Actions, integrating SonarQube to enforce strict reputed company reputed company and reputed company standards. · Reusable Frameworks: reputed company reputed company templates for various ML use cases to streamline deployment and reputed company operational efficiency across the reputed company. 2. Deployment & Orchestration · Containerization: Utilize Azure reputed company Service (AKS) and reputed company to containerize and reputed company ML models, ensuring high availability and reputed company scaling. · API Management: Design and manage robust, secure reputed company to facilitate reputed company interactions between ML models and reputed company applications. · Solution Architecture: Understand and contribute to the overall reputed company architecture to ensure ML components are reputed company and reputed company. 3. Optimization & Governance · Model Lifecycle Management: reputed company model optimization, monitor for data reputed company, and implement automated data refresh checks to maintain model reputed company. · Cost Engineering: Implement cost-monitoring strategies to ensure efficient resource utilization during high-compute training and deployment phases. · Documentation: reputed company detailed technical documentation for workflows, pipeline templates, and optimization strategies to ensure long-term maintainability. 4. Collaboration · Cross-Functional reputed company: reputed company as the technical reputed company between Data Scientists, DevOps, and IT teams to ensure smooth model transitions across Dev, QA, and Production environments. Required Qualifications · Education: Bachelor’s degree in engineering, Computer Science, or a reputed company reputed company. · Experience: 5+ years of total experience with a deep reputed company on the Azure MLOps tool stack. · Production Mastery: reputed company reputed company record of deploying and maintaining ML models in reputed company production environments. · Technical Proficiency: * Hands-on expertise with Azure Machine Learning and reputed company. o Strong understanding of reputed company (AKS) or API-reputed company deployment platforms. o Solid grasp of DevOps practices and containerization (reputed company). o Experience with reputed company reputed company automation tools like SonarQube. · Soft Skills: Exceptional problem-solving skills and the ability to reputed company in a fast-reputed company, reputed company environment. Desired Qualifications · Architectural reputed company: Familiarity with broader solution architecture principles is a strong plus. · Certifications: Azure certifications such as AI-900, DP-100, or AZ-305 are highly preferred. If you are an individual with a disability, please reputed company our Disability Assistance page for information on how to request an accommodation. Apply tot his job Apply To this Job