Machine Learning Engineer

Worldwide | Sept. 2, 2026

Report as Closed

Company: Grafton Latam

Country: Worldwide

Salary: $48,000 - $52,800

Type: Remote

Employment: Full-time

Description: Grafton Chile has been present in the market since 1997 and is part of an international trajectory linked to the development of recruitment and human capital services. Through our stable organization and our own, suitable and qualified personnel, None

• Academic Training (Level of studies) University
• Specific careers: Electrical Engineering, Mechanical Engineering, Data Engineering, Mathematics and Statistics, Civil Computer Engineering
• Required Work Experience (years) + 3 years
• Industries/positions Mining – Energy - Manufacturing
• Technical Knowledge/Level: Machine Learning & Statistics, Programming (Python), Deep Learning & LLMs, Development & Backend, Data and Databases, MLOps & Deployment, Cloud & Architecture, Visualization (Power BI – Tableau)
• Languages Advanced English
• Other required knowledge: Understanding of industrial processes (ideally mining); Notions of equipment such as: Electric motors, Conveyor belts, Pumps / crushers; Understanding of operational variables (vibration, temperature, load, etc.); You do not need to be an expert in the field, but you do need to understand what you are modeling.

Competences / Level of Development

• Analytical thinking
• Rigor and quality orientation
• Results orientation
• Collaborative work
• Effective communication
• Proactivity and Initiative
• Adaptability

Mission/Objective of the Position

Design, develop and implement Machine Learning and Artificial Intelligence solutions at Innomotics, ensuring their deployment in industrial production environments, with the aim of optimizing operation, anticipating failures and generating value from data, through the use of advanced technologies such as predictive models, generative AI and data analytics.

• Design, develop and implement Machine Learning and Artificial Intelligence models, including solutions based on LLMs.
• Manage the complete life cycle of models (design, training, validation, deployment, monitoring and retraining).
• Develop and maintain data pipelines and CI/CD processes to automate the deployment of models and applications.
• Build generative AI solutions, including RAG systems, intelligent agents and applications. conversational.
• Integrate ML models into productive applications through APIs and scalable services.
• Implement model monitoring systems, including drift detection, performance control and alerts in production.
• Model, prepare and optimize data for training, applying ETL and feature engineering techniques.
• Manage and optimize cloud resources for ML solutions, ensuring cost efficiency and performance.
• Develop proofs of concept (POC) and MVPs to validate business use cases within limited deadlines.
• Document models, experiments and architectures in a structured way in collaborative repositories.
• Collaborate with multidisciplinary teams (product, business, engineering) to translate requirements into scalable technical solutions.
• Promote good practices in ML/AI development and technically support other team members.
• Participate in validations techniques, demos and presentations of solutions when required.

Indefinite Contract Type

Hybrid Modality

Workplace in Las Condes (Parque Arauco sector)

Associated bonus

• National Holidays Bonus
• Christmas Bonus
• Vacation Bonus
• Annual bonus for performance (according to global and local results, proportional to the date of entry)

Others benefits

• Life insurance
• Complementary health insurance
• Administrative days
• Bridge days
• Birthday gift card
• Company Week

Desirable not exclusive

Apply here:

Web: Apply here

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