Mid-Level Data Scientist (AI)

TL;DR

Mid-Level Data Scientist (AI): Supporting the development of data-driven and AI-powered solutions with an accent on data preprocessing, feature engineering, model training, and evaluation. Focus on building models and applications that support production environments.

Location: Colombia

Company

hirify.global is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world.

What you will do

• Support the implementation of machine learning models, assisting with data preprocessing, feature engineering, model training, and evaluation.
• Apply statistical techniques such as regression, classification, clustering, and anomaly detection to solve business problems.
• Assist in developing applications using Generative AI (LLMs, prompt engineering, embeddings, or Retrieval-Augmented Generation).
• Work with APIs and backend services to integrate ML and AI models into internal systems.
• Support the development of scalable ML workflows and data pipelines for experimentation and training.
• Partner with data engineers, DevOps and software developers to support the deployment and monitoring of models.

Requirements

• 2+ years working with Python in data science, analytics, or machine learning projects.
• Practical experience with SQL for querying and analyzing large datasets.
• Experience supporting ML models using libraries such as scikit-learn, PyTorch, or TensorFlow.
• Familiarity with data processing or streaming pipelines (e.g. Apache Beam, Google Cloud Dataflow, Spark, or similar frameworks).
• Familiarity with REST APIs, web services, Generative AI concepts and frameworks (LLMs, RAG-based systems, LangChain, ADK, Llama-index).
• Strong analytical thinking, problem-solving skills, and English proficiency (B2 level or higher).

Nice to have

• Experience with Git and version control practices.
• Exposure to cloud environments (GCP, AWS, or Azure) and MLOps concepts (CI/CD, Docker, Kubernetes, or MLflow).
• Experience working in Agile development environments.
• Personal projects, research, or AI experimentation that demonstrate initiative and curiosity.

Culture & Benefits

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan