Data Engineer (ML & LLM Focus)
Worldwide | Oct. 4, 2026
Report as Closed
Company:
Improving
Country: Worldwide
Type: Remote
Employment: Full-time
Description: Improving is an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes.
At Improving South America, we provide IT services to transform the perception of the IT professional. We focus on IT consulting, software development and agile training.
The company promotes an exceptional work culture based on teamwork, excellence and fun, with a focus on personal growth and shared rewards. By joining, the candidate will become part of a community that prioritizes open communication and strong long-term working relationships, supported by a structure of professional development and continuous learning.
- English Intermediate- advanced or advanced (essential)
- Solid Python: real fundamentals of data manipulation and file management, not just use of libraries.
- Practical experience with Pandas (or equivalent library) to read files, do joins, aggregations, filtering and data deduplication.
- Solid SQL: joins, filters, logical operators (NOT, AND, OR, etc.).
- Ability to parse and work with different raw data formats (CSV, nested JSON, text logs).
- Experience building ETL/ELT pipelines for data cleaning and preparation.
- Hands-on experience with Azure (ADF, Databricks) or an equivalent cloud stack (AWS, GCP).
- Understanding of cloud architecture and microservices to deploy models/algorithms as web services.
- Analysis ability: understand the data before programming, and explain a solution plan before executing.
At Improving South America, we provide IT services to transform the perception of the IT professional. We focus on IT consulting, software development and agile training.
The company promotes an exceptional work culture based on teamwork, excellence and fun, with a focus on personal growth and shared rewards. By joining, the candidate will become part of a community that prioritizes open communication and strong long-term working relationships, supported by a structure of professional development and continuous learning.
Functions of the position
- Develop and implement data-driven solutions to solve complex business problems.
- Clean, preprocess, and analyze raw or unordered datasets before writing code.
- Design, build and deploy data pipelines (ETL/ELT) for data ingestion and preparation, covering the complete flow: raw data → transformation → analytics-ready datasets.
- Build and deploy Machine Learning models (experience with optimization algorithms is valued).
- Develop and integrate solutions that take advantage of Large Language Models (LLMs).
- Apply concepts of cloud architecture and microservices to deploy algorithms as web services.
- Collaborate with cross-functional teams to define project requirements, translate business problems into technical solutions and deliver actionable insights.
- Take full ownership of assigned tasks: clarify ambiguous requirements from the beginning and deliver high-quality results.
Conditions
- Long-term contract.
- 100% Remote.
- Vacation and PTOs
- Possibility of receiving 2 bonuses per year.
- 2 salary reviews per year.
- English classes.
- Apple equipment.
- Online course platform
- Budget for purchase of books.
- Budget for purchasing work materials
- much more..
Optional
- Experience building and deploying Machine Learning models in production.
- Knowledge of optimization algorithms.
- Experience integrating LLMs (LangChain, RAG, model APIs such as Azure OpenAI, Vertex AI, etc.).
- C# — not exclusive. We prioritize the ability to solve data problems efficiently; A strong command of Python is a good sign that the person can adapt to C# if the project requires it.
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