Senior Machine Learning Engineer
at Encora10
- Seniority
- Senior
- Work model
- Remote · LatAm-friendly
- Location
- Bolivia; Colombia; Costa Rica; Peru
- Posted
- 5d ago
pythonrestazurekubernetesdockerdatabrickssparkdbtci/cd
at Encora10
<p></p> <p><strong>Job Title:</strong> Senior Machine Learning Engineer</p> <p><strong>Key Skills:</strong> Machine Learning, Azure, Databricks, Python, REST APIs, MLOps, Model Deployment, Microservices, Real-Time Inference, Data Pipelines</p> <p><strong>Experience:</strong> 5+ years of experience.</p> <p><strong>Location:</strong> Costa Rica, Peru, Colombia, Bolivia.</p> <p><strong>Mode:</strong> Remote.</p> <p>We at Coforge are hiring <strong>Senior Machine Learning Engineer (#22151)</strong> with the following skill set.</p> <p><strong>Key Responsibilities</strong></p> <p>· Deploy, productionize, and optimize machine learning models, collaborating with Data Scientists to build scalable batch and real-time inference solutions.</p> <p>· Design and develop secure, scalable REST APIs and AI-driven data services that expose machine learning models and curated datasets for low-latency consumption.</p> <p>· Build and optimize high-performance inference services, improving model response times, throughput, caching strategies, and resource utilization.</p> <p>· Develop and maintain reliable data pipelines within Azure and Databricks, ensuring scalable, production-ready data and AI workflows.</p> <p><strong>Required Skills & Qualifications</strong></p> <p>· 5+ years of experience in Machine Learning Engineering, MLOps, or AI Platform Engineering.</p> <p>· Strong experience deploying machine learning models into production environments.</p> <p>· Hands-on experience with Azure services and Databricks for building scalable data and AI solutions.</p> <p>· Strong Python programming skills for machine learning and data engineering.</p> <p>· Experience designing and developing REST APIs and microservices for AI applications.</p> <p>· Experience building batch and real-time inference pipelines.</p> <p>· Knowledge of scalable model serving, performance optimization, and low-latency architectures.</p> <p>· Experience developing and maintaining production data pipelines and workflow orchestration.</p> <p>· Familiarity with MLOps best practices, version control, monitoring, and CI/CD pipelines.</p> <p>· Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent professional experience).</p> <p><strong>Preferred Skills:</strong></p> <p>· Experience with Azure Machine Learning, MLflow, or similar model lifecycle management tools.</p> <p>· Familiarity with dbt, Spark, and distributed data processing.</p> <p>· Experience with containerization technologies such as Docker and Kubernetes.</p> <p>· Knowledge of API security, authentication, and cloud-native architectures.</p> <p>· Experience working in Agile environments with cross-functional Data Science and Engineering teams.</p> <p>Posted On: 13-07-2026</p> <p>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.</p>