At EX Squared LATAM, we help global brands transform how they operate by building high-performing digital solutions with real-world impact. We’re now looking for a Senior Machine Learning Engineer to join our team, working on a cutting-edge AI search platform for one of our strategic global clients.
If you’re passionate about search intelligence, semantic indexing, and scalable ML infrastructure—this is your opportunity to work remotely from LATAM and help shape next-gen user experiences across large-scale data ecosystems.
As a Senior Machine Learning Engineer, you'll be a core contributor to the design and implementation of intelligent search systems using Elasticsearch, OpenSearch, and vector databases. You’ll collaborate with cross-functional teams to deploy machine learning solutions in production and continuously optimize data pipelines, model performance, and system scalability.
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
You’re a hands-on engineer with strong foundations in machine learning, search systems, and production-grade ML workflows. You enjoy translating raw data into intelligent systems and collaborating closely with engineering and product teams.
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
English proficiency: C1+ (written and spoken)
EX Squared LATAM is a digital consultancy with a presence in Latin America, the U.S., and India. We partner with top-tier global brands to deliver products that matter—while cultivating an environment of learning, collaboration, and innovation.
As a contractor, you’ll work on high-impact, AI-driven projects with real-world use cases, alongside an international team committed to technical excellence.
💰 Competitive USD-based contract
🌐 100% remote across LATAM
🎓 Access to EX Squared University for continuous learning
🏆 Recognition via Assembly, our peer-to-peer appreciation platform
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