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8.0 - 13.0 years

25 - 40 Lacs

pune

Hybrid

Job Description We are seeking a Senior MLOps Engineer .In this role, you will collaborate across software engineering, machine learning, and DevOps to design, develop, and scale the core infrastructure that enables and supports AI initiatives throughout the organization. This position requires deep expertise in productionize/operationalize ML models. Key Responsibilities Design, develop, and maintain end-to-end MLOps pipelines to automate the machine learning lifecycle from training to deployment and monitoring. Collaborate with data scientists, ML engineers, and platform teams to operationalize ML models across cloud and hybrid environments. Build and manage containerized environments for training and inference using Docker and Kubernetes. Implement CI/CD workflows (e.g., GitHub Actions, Jenkins) for deploying ML models. Ensure observability and monitoring of models in production (latency, drift, performance, errors). Support model deployment to a variety of targets including APIs, applications, dashboards, and edge devices. Implement model versioning , rollback strategies, governance, and traceability using tools like MLflow or Kubeflow. Drive best practices across teams and provide technical mentorship on MLOps topics. Continuously evaluate and integrate new tools and technologies to improve MLOps capabilities. Required Skills & Qualifications 8+ years of experience in software, data, or ML engineering, with 6 + years in MLOps . Strong programming experience in Python , SQL , and Spark/PySpark . Deep expertise in MLOps tools such as MLflow, Kubeflow, Airflow, etc. Experience with cloud platforms , preferably GCP (Vertex AI, GKE, Cloud Run) or AWS . Hands-on with Databricks , FastAPI , Docker , Kubernetes . Proficient with CI/CD , Git , and Infrastructure as Code (Terraform, Ansible). Knowledge of monitoring frameworks like Prometheus and Grafana. Experience in GCP , AWS is also acceptable. Strong communication and stakeholder management skills. Preferred Qualifications Experience with building scalable, self-service ML infrastructure. Familiarity with model governance, compliance , and security in production environments. Prior work in building reusable and modular MLOps solutions for cross-functional teams.

Posted 15 hours ago

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7.0 - 11.0 years

0 Lacs

guwahati, assam

On-site

You are an integral part of Zaloni's Engineering team, responsible for contributing to the development and delivery of features for the Arena product. Your expertise will be crucial in enabling customers to effectively manage their data lake infrastructure and derive valuable insights from the data. As a Zaloni engineer, you will be involved in various responsibilities including technical ownership of product features, providing subject matter expertise in multiple functional areas, and working collaboratively in an agile environment. Your role will also entail fixing complex bugs, identifying technical debt areas, and staying updated with the latest technologies to enhance the product. Additionally, you will play a key role in coaching team members, conducting code reviews, and contributing to institutional knowledge through various channels. Your strong problem-solving skills, experience with Java, Maven, Spring, Hibernate, API design, and agile practices will be essential for success in this role. To excel in this position, you should hold a Bachelor's or Master's degree in Engineering or equivalent experience, along with a minimum of seven years of active development experience in web and big data applications. Your proficiency in cloud technologies, big data technologies such as MapReduce, Hadoop, Spark, as well as key programming concepts in Java will be highly beneficial. Desired skills and experience include working with globally-distributed teams, Spark for big data development, various persistence patterns, microservices, UI development, testing and automation, and ensuring high availability and scalability of systems. Zaloni is a reputable company that simplifies big data for businesses, helping them modernize their data architecture and leverage data lakes for actionable insights. With a focus on data management, governance, and self-service data preparation, Zaloni has established itself as a leader in the industry, serving top companies worldwide. If you are passionate about working with cutting-edge technologies, contributing to innovative solutions, and being part of a dynamic team, Zaloni offers an exciting opportunity to grow your career in the field of data engineering. Visit www.zaloni.com for more information on our company and products.,

Posted 2 weeks ago

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