---
title: "Senior Machine Learning Engineer | IT job openings | Solutix"
description: "You will play a key role within the Data Science & AI team, contributing your expertise and supporting the development of best practices."
canonical: "https://www.solutix.com.ar/en/jobs/machine-learning-engineer-senior"
---

# Senior Machine Learning Engineer | IT job openings | Solutix

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- Senior Machine Learning Engineer

Job openings

## Senior Machine Learning Engineer

### **Position Profile**

We are seeking a **Senior Machine Learning Engineer** to lead the full lifecycle of AI solutions. The ideal profile combines **advanced technical mastery** of predictive models with the **strategic capability** to scale solutions to production in highly complex environments. We are looking for someone capable of transforming raw data into business assets through robust, scalable, and maintainable models.

### **Main Responsibilities**

- **ML Architecture:** Design, develop, and deploy large-scale machine learning models into production environments.

- **End-to-End Lifecycle:** Lead the process from data ingestion and feature engineering to training, validation, and monitoring of models.

- **MLOps & Scalability:** Implement and optimize MLOps pipelines to ensure reproducibility, versioning, and deployment efficiency.

- **Technical Collaboration:** Work side-by-side with Data Engineering and Software Engineering teams to integrate models into final products.

- **Mentoring:** Drive the team’s technical growth, establishing quality standards and best practices in AI development.

- **Optimization:** Research and apply state-of-the-art algorithms to solve critical business problems.

### **Exclusionary Requirements**

- **Experience:** 5+ years in **Machine Learning Engineering** or Data Science roles with a focus on production.

- **Tech Stack:** Advanced proficiency in **Python** and its scientific libraries (Pandas, NumPy, Scikit-Learn).

- **Deep Learning:** Solid experience with frameworks such as **PyTorch or TensorFlow/Keras**.

- **Cloud & Infrastructure:** Hands-on experience in cloud environments (**AWS, GCP, or Azure**) using native ML services (e.g., SageMaker, Vertex AI).

- **Software Engineering:** Strong knowledge of **SQL**, API design for model serving, and software architecture principles.

- **MLOps:** Fluent in model versioning and monitoring tools (MLflow, Kubeflow, Weights & Biases, or similar).

- **Version Control:** Advanced mastery of **Git and GitHub/GitLab workflows**.

### **Desirable (Plus)**

- **Big Data:** Experience with distributed processing technologies (Apache Spark, Databricks).

- **Containerization:** Mastery of **Docker and Kubernetes** applied to model deployment.

- **Optimization:** Experience with **model quantization or pruning** techniques to optimize performance in production.

- **Soft Skills:** Demonstrated ability to translate ambiguous business problems into clear technical requirements.

- **Community:** Active participation in the AI community, conferences, or technical publications.

- [Apply](https://www.solutix.com.ar/en/curriculum?position=Senior%20Machine%20Learning%20Engineer#form-cv)

- [Back to the openings](https://www.solutix.com.ar/en/jobs)