Senior Engineer, Industrial Engineering (ML Ops Engineer with 3-5 Yrs Exp) at Sandisk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, Python, Machine Learning, Cloud Platforms, Tableau, CI/CD, Docker, Kubernetes, Git, Data Visualization, Problem Solving, Model Monitoring, Automation, Version Control, Big Data, A/B Testing

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We are seeking a ML Ops Engineer with expertise in Python, ML Frameworks, Model lifecycle, Cloud platforms &Tableau/PBI to join our team. Duties and responsibilities Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes. Automate the training, testing and deployment processes for machine learning models. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability. Implement best practices for version control, model reproducibility and governance. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness. Troubleshoot and resolve issues related to model deployment and performance. Ensure compliance with security and data privacy standards in all MLOps activities. Keep up-to-date with the latest MLOps tools, technologies and trends. Provide support and guidance to other team members on MLOps practices. Qualifications Required skills and experience 3-5 years of experience in MLOps, DevOps or a related field. Bachelor’s degree in Computer Science, Data Science or a related field. Strong understanding of machine learning principles and model lifecycle management. Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of CI/CD pipelines, automation tools and version control systems like Git. Ability to create dashboards and visualize the data quickly in tools like tableau, power bi, apache superset ,etc Strong problem-solving skills and ability to troubleshoot complex issues. Experience with monitoring tools and practices for model performance in production. Ability to work collaboratively in cross-functional teams. Nice to have/preferred skills and experience Experience with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. Knowledge of big data technologies like Apache Spark or Hadoop. Familiarity with data engineering practices and tools. Experience with A/B testing and model validation in production environments. Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus. Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Responsibilities

Design, develop, and implement MLOps pipelines for machine learning models. Collaborate with data scientists to optimize deployment processes and ensure model performance in production.