---
title: "Senior Machine Learning Engineer"
company: "Encora"
company_url: "https://www.remjobs.works/companies/encora"
url: "https://www.remjobs.works/job/encora-senior-machine-learning-engineer-6f87336c-8b9b-4903-8132-cbd67093c35f"
apply_url: "https://job-boards.greenhouse.io/encora10/jobs/5239639007"
workplace: onsite
location: "Latin America"
employment_type: unspecified
seniority: senior
role: software-engineering
region: latin-america
skills: ["aws", "azure", "databricks", "docker", "gcp", "kubernetes", "llm", "python", "pytorch", "spark", "sql", "tensorflow"]
date_posted: 2026-09-23T17:06:47.000Z
first_seen_by_remjobs: 2026-09-23T17:08:46.031Z
---

# Senior Machine Learning Engineer

**Encora** · Latin America

Apply: https://job-boards.greenhouse.io/encora10/jobs/5239639007

## About Encora

Neutral infrastructure for returns: bins, tags, a verification cloud, and APIs.

## About the role

**Job Title:** Senior Machine Learning Engineer

**Key Skills:** Python, SQL, PySpark, Machine Learning, Scikit-learn, PyTorch, XGBoost, TensorFlow, ML Pipelines, MLflow, Databricks, AWS, Azure, GCP, Kubernetes, MLOps

**Experience:** 5+ YOE

**Location:** LATAM (Guatemala, Honduras, El Salvador, Nicaragua, Panama, Colombia, Perú, Mexico, Costa Rica, Brazil, Ecuador, Paraguay, Uruguay)

**Modality:** Remote

We at Coforge are hiring **Senior Machine Learning Engineer (Job# 15311-1-1)** with the following skill set.

Key Responsibilities

- Design, develop, and deploy scalable machine learning solutions in production environments.

- Build and optimize end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.

- Develop distributed data processing workflows using PySpark and SQL to support large-scale ML applications.

- Collaborate with Data Scientists, Data Engineers, Product Teams, and business stakeholders to translate business requirements into ML solutions.

- Deploy and manage machine learning models across cloud platforms such as AWS, Azure, GCP, and Databricks.

- Implement MLOps best practices, including model versioning, experiment tracking, CI/CD, monitoring, and lifecycle management.

- Design and maintain containerized ML workloads leveraging Kubernetes for model serving, batch processing, and orchestration.

- Drive improvements in model performance, scalability, reliability, and operational efficiency.

Required Skills & Qualifications

- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).

- 5+ years of experience as a Machine Learning Engineer, focused on production-grade ML systems.

- Strong programming experience with Python, SQL, and PySpark for large-scale data processing.

- Hands-on experience with machine learning frameworks and libraries such as Scikit-learn, PyTorch, TensorFlow, and XGBoost.

- Proven expertise building and maintaining robust ML pipelines using MLflow or similar MLOps platforms.

- Experience deploying and managing machine learning solutions in cloud environments, including AWS, Azure, GCP, and Databricks.

- Strong understanding of the complete ML lifecycle, from data preparation to production monitoring and maintenance.

- Experience working with Kubernetes and containerized workloads for machine learning applications.

- Excellent communication skills with the ability to collaborate effectively across cross-functional teams.

Preferred Skills

- Experience with MLOps, CI/CD pipelines, and model governance frameworks.

- Knowledge of model monitoring, observability, and performance optimization techniques.

- Experience working in Agile development environments.

- Familiarity with Docker, workflow orchestration tools, and large-scale distributed computing platforms.

- Exposure to generative AI, LLMs, or advanced machine learning systems is a plus.

**Posted On: Sept 23rd 2026**

***At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. ***

---

Source: Encora's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/encora-senior-machine-learning-engineer-6f87336c-8b9b-4903-8132-cbd67093c35f