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Data Scientist / Machine Learning Engineer at SOFTGIC S.A.S.
Medellín, Antioquia, Colombia -
Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

0.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Machine Learning, Python, Azure ML, Databricks, SQL, ETL, Embeddings, AI APIs, Vector Databases, Data Scraping, Automation, Analytical Skills, Communication Skills

Industry

IT Services and IT Consulting

Description
We are looking for a Mid–Senior Data Scientist / Machine Learning Engineer to build AI-driven models, develop data pipelines, and enhance analytical capabilities across the organization. The ideal candidate can create end-to-end ML solutions, work with embeddings and AI APIs, and deploy models in Azure environments. This role requires a strong analytical mindset, fast execution, and excellent communication skills. Responsibilities Build and deploy machine learning models to support business and product decisions. Develop Python-based data pipelines and ETL workflows. Work with Azure ML, Databricks, and cloud-based data platforms. Use embeddings, LLM APIs, and vector search techniques when applicable. Analyze, clean, and structure large datasets for modeling. Collaborate with cross-functional teams to define data requirements. Monitor model performance and retrain as needed. Support automation and data ingestion (scraping, batch pipelines). Present findings and recommendations to technical and non-technical stakeholders. Requirements 3–6+ years of experience as a Data Scientist or ML Engineer. Strong expertise in Python (Pandas, NumPy, scikit-learn). Experience with Azure ML, Databricks, or similar cloud ML platforms. Solid skills in SQL, data modeling, and ETL pipelines. Experience working with embeddings, AI APIs (OpenAI, Anthropic), or vector databases (preferred). Ability to deploy and maintain ML models in production. Familiarity with data scraping and automation tools. Strong communication and analytical skills. English B2+
Responsibilities
The role involves building and deploying machine learning models to support business decisions and developing data pipelines. The candidate will also collaborate with cross-functional teams and present findings to stakeholders.