Senior Machine Learning Engineer

Posted 8 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Latin America

🔍 Industry: Software Development

🏢 Company: EX Squared LATAM

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonSQLApache AirflowElasticSearchETLGCPKubernetesMachine LearningMLFlowPyTorchAlgorithmsAPI testingAzureData engineeringFastAPIREST APITensorflowCI/CDJSONData visualizationData analytics

Requirements:

5+ years of experience in Machine Learning or Data Science roles
Proficiency with Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face
Deep understanding of Elasticsearch/OpenSearch, search ranking, and indexing strategies
Experience working with vector databases and semantic search architectures
Strong experience with Docker, Kubernetes, and cloud environments (AWS, GCP, or Azure)
Familiarity with MLOps tools such as MLflow, Weights & Biases, Airflow, or Kubeflow
Understanding of data pipelines, versioning, and deployment practices
Experience with natural language processing (NLP) and embedding models (e.g., BERT, SBERT, OpenAI) is a plus

Responsibilities:

Design and implement search relevance models using deep learning and semantic embedding techniques
Build and manage scalable data pipelines for text/vector indexing using Elasticsearch and OpenSearch
Integrate and optimize vector databases (e.g., Faiss, Pinecone, Weaviate, Milvus) to support semantic search and recommendation engines
Deploy and maintain ML models in production using Python, TensorFlow/PyTorch, FastAPI, Docker, and Kubernetes
Collaborate with data engineers and platform teams to manage ETL workflows, feature stores, and model registries
Monitor performance of deployed models and drive continuous improvement through experimentation and retraining
Implement automated evaluation pipelines for search quality metrics (precision, recall, MRR, NDCG)
Contribute to the evolution of a scalable ML infrastructure across distributed environments

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