Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Key Skills: Machine Learning, Azure, Databricks, Python, REST APIs, MLOps, Model Deployment, Microservices, Real-Time Inference, Data Pipelines Experience: 5+ years of experience. Location: Costa Rica, Peru, Colombia, Bolivia. Mode: Remote. We at Coforge are hiring Senior Machine Learning Engineer (#22151) with the following skill set. Key Responsibilities · Deploy, productionize, and optimize machine learning models, collaborating with Data Scientists to build scalable batch and real-time inference solutions. · Design and develop secure, scalable REST APIs and AI-driven data services that expose machine learning models and curated datasets for low-latency consumption. · Build and optimize high-performance inference services, improving model response times, throughput, caching strategies, and resource utilization. · Develop and maintain reliable data pipelines within Azure and Databricks, ensuring scalable, production-ready data and AI workflows. Required Skills & Qualifications · 5+ years of experience in Machine Learning Engineering, MLOps, or AI Platform Engineering. · Strong experience deploying machine learning models into production environments. · Hands-on experience with Azure services and Databricks for building scalable data and AI solutions. · Strong Python programming skills for machine learning and data engineering. · Experience designing and developing REST APIs and microservices for AI applications. · Experience building batch and real-time inference pipelines. · Knowledge of scalable model serving, performance optimization, and low-latency architectures. · Experience developing and maintaining production data pipelines and workflow orchestration. · Familiarity with MLOps best practices, version control, monitoring, and CI/CD pipelines. · Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent professional experience). Preferred Skills: · Experience with Azure Machine Learning, MLflow, or similar model lifecycle management tools. · Familiarity with dbt, Spark, and distributed data processing. · Experience with containerization technologies such as Docker and Kubernetes. · Knowledge of API security, authentication, and cloud-native architectures. · Experience working in Agile environments with cross-functional Data Science and Engineering teams. Posted On: 13-07-2026 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.