AI Engineer (Langchain, PyTorch, AzureML)

DS STREAMvia JobLeads

RemotoRemotoPlenoCLT2 dias atrás

Salário Estimado

R$ 8.333,00 - R$ 11.667,00

Tecnologias

Python Go AWS Azure Docker Kubernetes API Machine Learning IA Data Science TensorFlow PyTorch

0de 100

Excelente

Score da Vaga

Descrição da Vaga

•AI

•Python • NumPy

•PySpark • Deep learning

•PyTorch • TensorFlow

•SQL • NLP

•MLOps • Airflow

•MLflow • Docker

•Databricks • 4+ years of professional experience in Data Science or Machine Learning Engineering

•Strong proficiency in Python and ML ecosystem (NumPy, Pandas, PySpark, scikit-learn) • Hands‑on experience with deep learning frameworks (PyTorch or TensorFlow)

•Experience with SQL and relational/non‑relational/vector databases • Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering)

•Practical experience with LLM orchestration frameworks (LangChain, LangGraph, or LlamaIndex) • Understanding of GenAI integration patterns and LLM APIs

•Strong foundation in statistics and mathematics (linear algebra, probability, optimization) • Experience building and deploying ML models to production

•Hands‑on with at least one cloud ML platform (AWS SageMaker, Azure ML, Google Vertex AI, Databricks) • Good communication skills in English (B2+) Nice to Have

•Familiarity with NLP techniques and transformer architectures • Experience with LLM fine‑tuning and adaptation techniques

•Knowledge of RAG systems and embedding models • Familiarity with MLOps practices (model versioning, CI/CD, monitoring)

•Working knowledge of data pipeline tools (Apache Spark, Airflow, or similar) • Experience with experiment tracking tools (MLflow, Neptune, Weights & Biases) Docker, Kubernetes, and containerized ML deployments

•Experience with A/B testing and model performance optimization Designing and operating AI-driven pipelines that automatically ingest, analyze, and classify operational incidents and tickets.

The system leverages LLMs with structured prompt logic and few-shot prompting (using historically similar tickets) to deliver consistent, scalable triage — replacing manual classification and accelerating resolution.

Responsibilities and Interview Process • As an AI Engineer at DS Stream, you will bridge the gap between traditional data science and modern AI applications.

•Leveraging your strong foundation in machine learning, statistics, and data engineering, you will design, train, and deploy ML models while integrating GenAI capabilities into existing data pipelines. • You will be responsible for the full ML lifecycle - from experimentation and model development to production deployment and monitoring - ensuring our AI solutions are robust, scalable, and aligned with business objectives.

•30‑minute prescreen (MS TEAMS) • 1h Technical interview

•30‑minute follow‑up call (Cultural fit, some tech questions)

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Publicada2 dias atrás

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