Senior MLOps Engineer (AI)

Location: USA—Philadelphia or Mexico—Mexico City

Salary: $115,400–$192,300 per year for the U.S. national base pay range; geographic differentials may apply.

Company

hirify.global provides information, analytics, research platforms, healthcare education, and clinical solutions built on extensive publishing and data resources.

What you will do

• Automate and orchestrate machine learning workflows across AWS, Azure, Databricks, and foundation model APIs.
• Build model registries, artifact stores, CI/CD pipelines, data validation, model testing, and deployment processes.
• Design SageMaker pipelines and ML engineering solutions for recommendation systems and production AI services.
• Develop GAR/RAG components including query interpretation, chunking, embeddings, hybrid retrieval, semantic search, prompt libraries, guardrails, and structured LLM output.
• Implement pipelines using Elasticsearch, OpenSearch, Solr, vector databases, and graph databases.
• Build evaluation pipelines for IR metrics, LLM quality, and A/B testing while optimizing infrastructure cost and scalability.

Requirements

• 3–5+ years of experience in ML Engineering, MLOps, or delivering ML, search, or GenAI systems to production.
• Strong Python, Java, and/or Scala engineering skills.
• Experience with AWS, Azure, and/or Google cloud services and MLOps platforms such as SageMaker and MLflow.
• Knowledge of machine learning theory, statistical analysis, NLP, feature engineering, model training, and evaluation metrics.
• Hands-on experience with search, vector, and graph technologies such as Elasticsearch, OpenSearch, Solr, and Neo4j.
• Familiarity with PyTorch, TensorFlow, PySpark, Spark, LLM evaluation, and large-scale data processing.

Nice to have

• Background in scholarly publishing workflows, bibliometrics, or citation graphs.
• Experience with knowledge-graph-aware retrieval and current generative AI, NLP, and RAG research.

Culture & Benefits

• Flexible working hours to support individual productivity.
• Focus on trust, respect, collaboration, agility, quality, and work-life balance.
• Wellbeing initiatives and country-specific benefits.
• Shared parental leave, study assistance, and sabbaticals.