ML Engineer_ODC

Job Description

ML Engineer_ODC Work from Office from Chennai Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. We are headquartered in the Silicon Valley and have our delivery centers across the globe. The below role is mandatorily opened for only Chennai location with work from office all 5 days. Mandate Skill sets : ML Ops + Python + Hands-on with API + GCP / AWS / Azure Good to have : Deployment About the role : We are looking for a Machine Learning Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will Collaborate with data scientists to transition machine learning models from development to production. Design and implement MLOps pipelines for model training, deployment, and monitoring on GCP. Utilize GCP services for version control, continuous integration, and continuous deployment (CI/CD) of machine learning models. Implement monitoring and logging solutions to track the performance and health of deployed models. Optimize and scale machine learning workflows on GCP to handle production workloads efficiently. Stay updated on the latest developments in MLOps practices and GCP services to ensure best practices are followed. Desired Skills and Experience : 3+ years of experience with at least 3+ years of relevant DS experience. Good working knowledge on GCP Proficient in a structured Python Follows good software engineering practices and has an interest in building reliable and robust software. Good knowledge of DS concepts and professional experience in developing and enhancing algorithms and models to solve business problem Conducting quantitative analyses and interpreting results Working knowledge of Linux or Unix environments ideally in a cloud environment. Working knowledge of Spark/PySpark is desirable. Excellent written and verbal communication skills. B.Tech from Tier-1 college / M.S or M. Tech is preferred. We believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.

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