> job detail
E
👽Other
Machine Learning Engineer
Encora · Bolivia; Colombia; Costa Rica; Peru
// classified as
Other (Adjacent or hard to classify.)
posted
2d ago
location
Bolivia; Colombia; Costa Rica; Peru
languages
python
tools
azure, databricks, docker
> stack
pythonazuredatabricksdockerfastapiflask
> description
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<p><strong>Job Title:</strong> Machine Learning Engineer - Azure & Databricks<br><strong>Key Skills:</strong> Python, Azure, Databricks, Machine Learning, REST APIs, MLOps<br><strong>Experience:</strong> 5+ YOE.<br><strong>Location:</strong> Costa Rica, Peru, Colombia, and Bolivia.<br><strong>Mode:</strong> Remote.</p>
<p>We at Coforge are hiring <strong>Machine Learning Engineer - Azure & Databricks (#22151)</strong> with the following skill set.</p>
<p><strong>Key Responsibilities</strong><br>· Deploy and operationalize Machine Learning and AI models developed by Data Scientists.<br>· Design and develop APIs and services to expose machine learning models, predictions, and curated datasets.<br>· Build scalable batch and real-time inference pipelines.<br>· Develop low-latency systems supporting AI and Machine Learning workloads.<br>· Build and maintain data pipelines within Azure and Databricks environments.<br>· Implement model-serving patterns using REST APIs and microservices architectures.<br>· Productionize LLM-powered solutions, semantic search, and retrieval systems.<br>· Implement monitoring, logging, alerting, model versioning, and CI/CD practices.<br>· Optimize performance, scalability, and cost efficiency of ML services and data platforms.<br>· Collaborate closely with Data Scientists, Data Engineers, and business stakeholders to deliver production-ready AI solutions.</p>
<p><strong>Required Skills & Qualifications</strong><br>· 5 to 8+ years of experience in Machine Learning Engineering or backend/platform engineering with ML exposure.<br>· Strong programming skills in Python.<br>· Experience building APIs using FastAPI, Flask, or similar frameworks.<br>· Proven experience deploying Machine Learning models into production environments.<br>· Experience building inference services and scalable APIs.<br>· Knowledge of both batch and real-time Machine Learning systems.<br>· Hands-on experience with Azure and Databricks or similar platforms.<br>· Familiarity with Lakehouse architectures and distributed processing technologies such as Spark.<br>· Experience designing RESTful APIs and scalable backend services.<br>· Strong understanding of low-latency system design and microservices architecture.<br>· Experience with CI/CD pipelines, Docker, and Kubernetes.<br>· Knowledge of monitoring, observability, and DevOps best practices.</p>
<p><strong>Preferred Skills</strong><br>· Experience with LLM deployment and integration.<br>· Knowledge of embeddings, semantic search, and Retrieval-Augmented Generation (RAG).<br>· Familiarity with Prompt Engineering workflows.<br>· Exposure to insurance domains including policy, claims, or underwriting data.<br>· Experience working in financial services or regulated industries.</p>
<p><strong>Posted On:</strong> 14-08-2026</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>
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