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๐Ÿง  Machine Learning Engineer โ€“ Remote from LATAM ๐Ÿ“

Posted 3 months agoViewed

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๐Ÿ’Ž Seniority level: Middle, 3+ years

๐Ÿ“ Location: Lima, PE, Mexico City, MX, Buenos Aires, AR, Bogotรก, CO

๐Ÿ” Industry: AI & MLOps

๐Ÿข Company: Tekton Labs๐Ÿ‘ฅ 51-100ConsultingInformation TechnologySoftware

๐Ÿ—ฃ๏ธ Languages: English

โณ Experience: 3+ years

๐Ÿช„ Skills: PythonSQLCloud ComputingKubernetesMachine LearningMLFlowPyTorchSparkTensorflow

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.
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