Senior MLOps Engineer

Insight Global; Ciudad de México; Presencial; MXN 1.000.000 - 1.800.000; Tempo integral

Resumo da vaga

Insight Global in Mexico City is seeking a Senior MLOps Engineer to productionize and scale ML, search, and GenAI solutions within a shared Data Science platform. You will collaborate with data scientists and engineers to move models from development to production, supporting the entire lifecycle and building reliable cloud-based solutions.

Day-to-day work includes feature engineering, model training and evaluation, LLM assessment, and large-scale data processing using PyTorch, TensorFlow,

Qualificações

• 3-5+ years in ML engineering or production ML.
• Experience shipping ML/search/GenAI systems to production.
• Strong Python, Java, and/or Scala engineering skills.
• Hands-on AWS, Azure, and/or Google Cloud experience.
• Familiar with PyTorch, TensorFlow, PySpark, Spark.
• Knowledge of NLP and ML evaluation metrics.

Responsabilidades

• Productionize and scale ML models in a shared DS platform.
• Collaborate with data scientists and engineers across lifecycles.
• Evaluate LLMs and manage data processing at scale.
• Work with vector/graph search technologies.

Conhecimentos

ML Engineering

MLOps

Python

Java/Scala

NLP

Cloud experience

Data Science lifecycle

Model evaluation

Ferramentas

Elasticsearch/OpenSearch/Solr

Neo4j

PyTorch

TensorFlow

PySpark

Spark

Descrição da vaga

Job Description

This Senior MLOps Engineer will focus on productionizing and scaling Machine Learning, search, and Generative AI solutions within a shared Data Science platform environment. The role will work closely with Data Scientists and Engineers to move models from development into production, support the full Data Science lifecycle, and build reliable solutions across cloud environments. Day-to-day work will include feature engineering, model training and evaluation, LLM evaluation, large-scale data processing, and supporting search, vector, and graph-based technologies. The engineer will leverage Python, Java and/or Scala along with frameworks such as PyTorch, TensorFlow, PySpark, and Spark to build scalable production solutions.

Skills and Requirements

• 3-5+ years of ML Engineering, MLOps, or production ML experience
• Experience shipping ML, search, or GenAI systems into production
• Strong Python, Java, and/or Scala engineering skills
• Statistical analysis, Machine Learning theory, and NLP knowledge
• Hands-on AWS, Azure, and/or Google Cloud experience
• Search, vector, or graph technologies such as Elasticsearch, OpenSearch, Solr, or Neo4j
• Experience evaluating LLM models
• Strong understanding of the Data Science lifecycle, including feature engineering, model training, and evaluation metrics
• ML frameworks such as PyTorch, TensorFlow, or PySpark
• Large-scale data processing experience with technologies such as Spark

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].