Senior ML/AI Engineer

Provectus; Perímetro Urbano Santiago de Cali; Presencial; COP 78.293.208 - 156.586.416; Jornada completa

Descripción de la vacante

A technology company in Colombia seeks a Machine Learning Engineer to create and improve ML models and pipelines. The ideal candidate has strong Python skills, experience with ML in production, and familiarity with AWS tools. Excellent communication and problem-solving skills are a must. Full-time position in Engineering and Information Technology.

Formación

• Comfortable with standard ML algorithms and math.
• Experience with classification and regression tasks.
• Experience with models in production.
• Good software engineering skills.
• Proficiency in Python and Docker.

Responsabilidades

• Create ML models and improve existing ones.
• Develop ML/AI pipelines and collaborate with teams.
• Maintain and monitor ML models in production.
• Document ML processes and pipelines.

Conocimientos

Standard ML algorithms knowledge

Classification and regression tasks experience

Workflow orchestration and monitoring

NLP, LLMs, Recommendation engines

Software engineering skills

Python expertise

Docker

AWS cloud platform experience

Upper Intermediate English

Communication and problem-solving skills

Herramientas

Amazon SageMaker

EMR/Glue

S3

Lambda

SQS

Descripción del empleo

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. With offices in North America, LATAM, and EMEA, Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.

Responsibilities

• Create ML models from scratch or improve existing models
• Create ML/AI pipelines that include custom models or APIs as part of the processing
• Collaborate with the engineering team, data scientists, and product managers on production models
• Develop experimentation roadmap
• Set up a reproducible experimentation environment and maintain experimentation pipelines
• Monitor and maintain ML models in production to ensure optimal performance
• Write clear and comprehensive documentation for ML models, processes, and pipelines

Requirements

• Comfortable with standard ML algorithms and underlying math
• Practical experience with solving classification and regression tasks in general, feature engineering
• Practical experience with ML models in production: orchestrating workflows, monitoring metrics
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
• Python expertise, Docker
• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECS, EMR/Glue, S3, Lambda, SQS)
• English level - Upper Intermediate
• Excellent communication and problem-solving skills

Will be a plus

• Experience with RAG
• Experience with taxonomies or ontologies
• Practical experience with Spark/Dask, Great Expectations

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Transportation, Logistics, Supply Chain and Storage

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