About the role

Deploy and optimize scalable machine learning models for batch and real-time inference. Design secure REST APIs and maintain production-ready data pipelines within Azure and Databricks.

What they look for

Machine Learning Azure Databricks Python REST APIs MLOps Model Deployment Microservices Real-Time Inference Data Pipelines Model Serving CI/CD Docker Kubernetes Spark MLflow

Requirements

Requires over 5 years of experience in ML Engineering or MLOps with strong Python and Azure skills. A bachelor's degree in Computer Science, Engineering, or a related field is required.

Full description

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.