Sr. Machine Learning Engineer

hace 2 días

Córdoba, Argentina Web: A tiempo completo

Descripción del empleo:

- **Location**: Full Remote.**Must be available during European time zone (Italy)**:

- ** Seniority Level**:Senior**:

- ** Language**:Advanced English is required for the position.**

We are seeking a **Machine Learning Engineer** with a strong focus on **MLOps** to support the operationalization and scaling of machine learning solutions. This role involves automating ML pipelines, deploying models into production, and ensuring performance and reliability over time.

**Key Responsibilities**
- Design, build, and maintain automated ML pipelines for training and deployment.
- Develop and manage production-grade inference services (e.g., APIs serving ML models).
- Implement model versioning, monitoring, and testing processes.
- Collaborate with data scientists and backend engineers to integrate ML models into production systems.
- Ensure system reliability and performance through best practices and observability tools.
- Participate in on-call rotations to support production ML environments.

**Requirements**:

- Proven experience designing and automating end-to-end ML pipelines.
- Strong programming skills in Python and familiarity with libraries such as NumPy, pandas, TensorFlow or PyTorch.
- Hands-on experience with containerization (e.g., Docker) and microservices architecture.
- Experience with MLOps tools like Kubeflow Pipelines, MLflow, or similar.
- Solid understanding of CI/CD practices and model versioning strategies.
- Experience deploying models in cloud environments (preferably AWS: EC2, S3, EKS).
- Ability to build and serve ML models via APIs (experience with FastAPI is a plus).
- Familiarity with software engineering best practices (code reviews, testing, version control).
- Advanced English communication skills (spoken and written).

**Nice to Have**
- Experience with Infrastructure as Code tools (e.g., Terraform).
- Familiarity with Kubernetes (pods, resource management, orchestration).
- Exposure to big data frameworks (e.g., Apache Spark) for scalable data processing.

**Benefits**
- 3 weeks of paid vacation per year
- Paid sick leave
- Flexible use of Argentine national holidays
- Half day off on your birthday
- Annual training budget
- Gifts throughout the year
- Autonomy and ownership in your day-to-day work
- Contractor position
- Flexible, collaborative, and supportive team culture
- Opportunities to work on impactful and scalable ML systems

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