Senior Platform Engineer MLOps Databricks - Location: LATAM

About the job Senior Platform Engineer – MLOps / Databricks Location: Anywhere in LATAM Please find JD for Senior Platform Engineer – MLOps / Databricks. Need Databricks expertise with experience in node/python for backend and experience in building APIs. Experience in AI/ML is mandatory. Key Responsibilities Design, implement, and maintain cloud-native platforms supporting AI and data workloads, with a focus on Databricks and AWS. Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics. Develop Infrastructure-as-Code (IaC) solutions using CloudFormation and AWS CDK to ensure repeatable and secure deployments. Collaborate with AI engineers, data engineers, and platform teams to improve performance, reliability, and cost efficiency of AI models in production. Drive observability best practices, including monitoring, alerting, and logging across AI platforms. Contribute to the design and evolution of AI platforms that support new ML frameworks, workflows, and data types. Stay current with emerging tools and technologies and recommend improvements to platform architecture and operations. Integrate AI models and Large Language Models (LLMs) into production systems, including Retrieval-Augmented Generation (RAG) architectures. Minimum Qualifications 7+ years of professional experience in software engineering and infrastructure engineering. Extensive experience building and maintaining AI/ML infrastructure in production environments, including model deployment and lifecycle management. Strong knowledge of AWS and Infrastructure-as-Code frameworks, ideally AWS CDK. Expert-level coding skills in Node.js and Python, with experience developing APIs and backend services. Proven experience with MLflow, including model registration, versioning, asset bundles, and model-serving workflows. Hands-on experience with Databricks and modern data platform technologies. Experience with CI/CD pipelines, containerization, and cloud-native architectures. Strong understanding of MLOps best practices and AI platform engineering. Preferred Skills Databricks MLflow Python Node.js AWS CDK CloudFormation MLOps LLMs & RAG CI/CD Docker Kubernetes Thanks & Regards Nitin Kushwaha Lead Technical Recruiter Eros Technologies Inc Email: Nitin.k@erostechnologies.com