🧠 Machine Learning Engineer – Remote from LATAM 📍

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Requirements:

• 3+ years of experience in machine learning model development
• Expertise in Python, SQL, and PySpark
• Strong knowledge of TensorFlow, PyTorch, Hugging Face, OpenAI API
• Experience with MLOps tools (MLflow, DVC, Kubernetes, Terraform, GitHub Actions)
• Hands-on experience with cloud AI services (Azure Cognitive Services, Azure Machine Learning)
• Proficiency in data processing frameworks (Pandas, Spark, Databricks, Azure Data Factory)

Responsibilities:

• Develop AI models for document analysis, NLP, and LLM-based applications
• Train, test, and fine-tune models using TensorFlow, PyTorch, Hugging Face
• Implement feature engineering and vector databases for efficient text retrieval
• Automate the entire ML lifecycle (training, validation, deployment) using MLflow, GitHub Actions, Kubernetes
• Deploy AI models as serverless APIs using Azure Functions & Kubernetes (AKS)
• Implement model versioning, monitoring (Azure Monitor), and drift detection
• Optimize AI workloads with Spark, Databricks, and Delta Lake
• Design scalable data ingestion pipelines using Azure Data Factory, Prefect, Apache Airflow
• Ensure efficient querying & retrieval of large-scale datasets for AI applications