$ 608 – 1459 K/Year (Annual salary in Dollar)
Longterm (Duration)
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.
Job Type
Payroll
Categories
Software Engineer (Software and Web Development)
Data Engineer (Software and Web Development)
Data Scientist (Software and Web Development)
ML/AI Engineers (Software and Web Development)
Must have Skills
- Machine Learning – 4 Years
- Python – 4 Years
- TensorFlow – 2 Years
- Pytorch – 2 Years
- Algorithm Development – 2 Years
- AWS – 1 Years
- API Integration – 1 Years
- Microservices architecture – 1 Years
- Data Scraping – 1 Years
M Rise Group 