Data Scientist, Applied AI

September 11

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Azumo

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Software Development • Artificial Intelligence • Data Engineering

Azumo is a leading software development company that specializes in nearshore services. The company offers a range of solutions, including software development, dedicated teams, staff augmentation, and virtual CTO services. Azumo is particularly known for its expertise in artificial intelligence, mobile app development, data engineering, and cloud services. The company prides itself on delivering high-quality, scalable, and innovative software solutions tailored to the specific needs of various industries, including fintech, game development, healthcare, and media. With a focus on assembling talented developers from Latin America, Azumo ensures time zone alignment and seamless communication with clients in North America. Their commitment to quality and client satisfaction is evidenced by numerous awards and positive client testimonials from prestigious organizations like Facebook, Twitter, and Discovery Channel.

51 - 200 employees

🤖 Artificial Intelligence

📋 Description

• Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). • Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. • Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications. • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases. • Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). • Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. • Automate training and serving workflows with Airflow or similar orchestration tools. • Monitor model performance in production; iterate on drift detection and retraining strategies. • Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. • Write production-grade Python code following SOLID principles, unit tests and code reviews. • Collaborate in Agile (Scrum) ceremonies; track work in JIRA. • Document architecture and workflows using PlantUML or comparable tools. • Communicate analysis, design and results clearly in English. • Partner with DevOps, data engineering and product teams to align on requirements and SLAs. • Design and prototype novel ML/DL models and productionize them end-to-end, integrating solutions into data pipelines and services.

🎯 Requirements

• Bachelor’s or Master’s in Computer Science, Data Science or related field. • 5+ years of professional experience with Python in production environments. • Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). • Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization). • Proven track record deploying ML solutions. • Expert in pandas, NumPy and scikit-learn. • Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). • Strong foundation in statistics and experimental design. • Excellent written and spoken English. • Preferred: Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. • Preferred: Familiarity with big-data ecosystems (Spark, Hadoop). • Preferred: Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). • Preferred: Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). • Preferred: Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. • Preferred: Hands-on experience with vector databases (e.g., Pinecone, FAISS). • Preferred: Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. • Preferred: Documentation skills using PlantUML or similar.

🏖️ Benefits

• Paid time off (PTO) • U.S. Holidays • Training • Udemy free Premium access • Mentored career development • Profit Sharing • $US Remuneration