Data Developer (Python & Databricks)

Talan Group; Buenos Aires; A distancia; ARS 90.547.000 - 135.820.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work from anywhere

Earn in USD

Paid time off

International certifications

Coworking access

English improvement

Referral program

Welcome kit

Descripción de la vacante

Pearster is seeking an AI Analyst - Agentic AI, Backend & Data Developer to build ML models for document understanding and NLP tasks in a fintech context. You will leverage Python, Pandas, and scikit-learn, applying OCR and NLP techniques to processing pipelines.

You will deploy models via REST APIs using Docker and Azure ML, collaborating across teams. The role emphasizes backend development with Python, API design, data pipelines, and strong English communication with international teams.

Formación

• Master’s degree in Computer Science, Data Science, or a related field.
• 5+ years of ML engineering experience with NLP or financial data processing.
• Strong Python experience with Pandas, NumPy, scikit-learn.
• Experience with NLP libraries (spaCy, NLTK, transformers).
• Knowledge of OCR, PDF parsing, Excel data extraction.

Responsabilidades

• Develop ML models for document understanding and processing.
• Use Python libraries for data manipulation and analysis.
• Apply NLP techniques using spaCy, NLTK, or transformers.
• Implement fuzzy matching for data accuracy.
• Process documents with OCR and Excel extraction; parse PDFs.
• Deploy ML models as REST APIs using Docker and Azure ML.
• Collaborate with cross-functional teams to meet project goals.

Conocimientos

Python

NLP

Fuzzy matching

Document processing

ML deployment

ML basics

Deep learning

LLMs

Azure ML

Finance domain

NLP/finance experience

Educación

Master’s degree in CS/DS

Herramientas

FastAPI

Django

Flask

Docker

Azure ML

SQL databases

NoSQL databases

Git

TensorFlow

PyTorch

Azure Cognitive Services

Descripción del empleo

AI Analyst - Agentic AI, Backend & Data Developer

We are seeking a Machine Learning Engineer with strong expertise in Python and a focus on Natural Language Processing (NLP) to join our team. The ideal candidate will have experience in the finance or fintech domain, specifically in reconciliation and accounting.

Responsibilities

• Develop and implement machine learning models for document understanding and processing.
• Utilize Python libraries such as Pandas, NumPy, and scikit-learn for data manipulation and analysis.
• Apply NLP techniques using libraries like spaCy, NLTK, or transformers.
• Implement fuzzy matching algorithms (., Levenshtein distance, record linkage) for data accuracy.
• Process documents using OCR, PDF parsing, and Excel data extraction methods.
• Deploy machine learning models as REST APIs using Docker and Azure ML.
• Understand and apply supervised and unsupervised learning techniques.
• Design and manage data pipelines and ETL processes.
• Collaborate with cross-functional teams to meet project goals.

Required Skills

• Strong expertise in Python (Pandas, NumPy, scikit-learn).
• Experience with NLP libraries (spaCy, NLTK, transformers).
• Knowledge of fuzzy matching algorithms.
• Document processing skills (OCR, PDF parsing, Excel extraction).
• Experience in ML model deployment (REST APIs, Docker, Azure ML).
• Understanding of supervised/unsupervised learning techniques.
• Familiarity with deep learning frameworks (TensorFlow, PyTorch).
• Experience with Large Language Models (LLMs) for document understanding (OpenAI, Azure OpenAI).
• Knowledge of Azure ML services and Azure Cognitive Services.
• 2-5 years of experience in ML engineering, focusing on NLP or financial data processing.
• Experience in the finance/fintech domain (reconciliation, accounting).

Education

• Master’s degree in Computer Science, Data Science, or a related field.

What you will bring

• Professional experience in backend development with Python.
• Hands-on experience building and maintaining APIs and backend services.
• Experience with Python frameworks such as FastAPI, Django, or Flask.
• Experience working with relational and/or NoSQL databases.
• Familiarity with Git and modern software development practices.
• Strong problem-solving skills and technical curiosity.
• Ability to work independently and collaborate effectively in a remote environment.
• Advanced English to communicate confidently with international teams.

Nice to have

• AWS, Azure, or GCP.
• Docker and/or Kubernetes.
• Microservices architectures.
• CI/CD.
• Serverless architectures.
• Infrastructure as Code.
• AI/LLM integrations.
• German language skills.

Benefits

• Work from anywhere with true flexibility and freedom.
• Earn in USD with compensation that matches your expertise.
• Recharge confidently with dedicated paid time off.
• Advance your career with fully covered international certifications.
• Access coworking spaces worldwide whenever you want a professional setup.
• Strengthen your English and expand your global reach.
• Connect and have fun with activities that unite our international team.
• Feel appreciated with personalized gifts and a thoughtful welcome kit.
• Grow our community and earn through our referral program.

At Pearster, your journey matters, and we’re here to help you go further than you imagined.

Ready to explore what's next?

We’d love to learn more about your experience and explore whether one of our upcoming opportunities could be the right fit for you.

Note: The posting includes additional company sections unrelated to the AI Analyst role. Please focus on the responsibilities, required skills, education, and benefits above for this role.