Machine Learning Engineer - Azure & Databricks

Job Title: Machine Learning Engineer - Azure & Databricks Key Skills: Python, Azure, Databricks, Machine Learning, REST APIs, MLOps Experience: 5+ YOE. Location: Costa Rica, Peru, Colombia, and Bolivia. Mode: Remote. We at Coforge are hiring Machine Learning Engineer - Azure & Databricks (#22151) with the following skill set. Key Responsibilities · Deploy and operationalize Machine Learning and AI models developed by Data Scientists. · Design and develop APIs and services to expose machine learning models, predictions, and curated datasets. · Build scalable batch and real-time inference pipelines. · Develop low-latency systems supporting AI and Machine Learning workloads. · Build and maintain data pipelines within Azure and Databricks environments. · Implement model-serving patterns using REST APIs and microservices architectures. · Productionize LLM-powered solutions, semantic search, and retrieval systems. · Implement monitoring, logging, alerting, model versioning, and CI/CD practices. · Optimize performance, scalability, and cost efficiency of ML services and data platforms. · Collaborate closely with Data Scientists, Data Engineers, and business stakeholders to deliver production-ready AI solutions. Required Skills & Qualifications · 5 to 8+ years of experience in Machine Learning Engineering or backend/platform engineering with ML exposure. · Strong programming skills in Python. · Experience building APIs using FastAPI, Flask, or similar frameworks. · Proven experience deploying Machine Learning models into production environments. · Experience building inference services and scalable APIs. · Knowledge of both batch and real-time Machine Learning systems. · Hands-on experience with Azure and Databricks or similar platforms. · Familiarity with Lakehouse architectures and distributed processing technologies such as Spark. · Experience designing RESTful APIs and scalable backend services. · Strong understanding of low-latency system design and microservices architecture. · Experience with CI/CD pipelines, Docker, and Kubernetes. · Knowledge of monitoring, observability, and DevOps best practices. Preferred Skills · Experience with LLM deployment and integration. · Knowledge of embeddings, semantic search, and Retrieval-Augmented Generation (RAG). · Familiarity with Prompt Engineering workflows. · Exposure to insurance domains including policy, claims, or underwriting data. · Experience working in financial services or regulated industries. Posted On: 14-08-2026 At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.