Open position: Machine Learning Engineer; Work location: Fully Remote, Mexico

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Machine Learning Engineer

US$500 - 1200 K/Year (Annual salary); Longterm (Duration)

Work location: Fully Remote, Mexico

Job Title: Machine Learning Engineer – Search and Ranking Systems

Location:  Remote work (Mexico specific)

Work Timings:  Monday-Friday, Hours: 8-5 pm CST

Responsibilities:

• Design and implement machine learning models for search and ranking (e.g., metadata classifiers, embedding models, and reranking algorithms).
• Develop and optimize scalable pipelines for data ingestion, enrichment, and indexing.
• Build and deploy embedding-based models for hybrid search systems, ensuring high performance and low latency.
• Collaborate with backend teams to integrate Redis caching and semantic search solutions.
• Work with external AI/ML APIs (e.g., OpenAI) to enhance system capabilities.
• Monitor and fine-tune search ranking algorithms to improve relevance metrics.
• Create semantic caching strategies and ensure seamless integration with the Hybrid Search DB.

Requirements:

• Strong understanding of ML fundamentals, including NLP techniques, embeddings, and ranking models.
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Experience with search technologies (e.g., Elasticsearch, vector search systems).
• Familiarity with AWS services (e.g., Lambda, S3) and scalable architectures.
• Knowledge of data scraping and processing pipelines.
• Hands-on experience integrating and optimizing external AI APIs (e.g., OpenAI).
• Excellent problem-solving skills and ability to work in a microservices-based environment.

For detail and to apply, 

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