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.