ML Engineer | Mexico

Job Title: Machine Learning Engineer – Search and Ranking Systems

Location:  Remote work (Mexico specific)

Work Timings:  Monday-Friday

                                    Hours: 8-5 pm CST

Total Experience: 7+ years

Relevant Experience: 4+  years

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.