{"schemaVersion":"jobsearcher.job.v1","id":"bd0fea3dff84cdf2c997c397","url":"https://jobsearcher.com/jobs/bd0fea3dff84cdf2c997c397","canonicalUrl":"https://jobsearcher.com/jobs/bd0fea3dff84cdf2c997c397","title":"ML Engineer","description":"This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks.Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud.Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings.Experience building production-grade ML pipelines, and data pipelines.Solid Python development skills with APIs development (FastAPIs) and familiarity with ML workflows.Delta Lake, MLflow, and workflow orchestration experience.Agentic development and GenAI experience will be a big plusFamiliarity with ELK (Elastic Kibana)Please note that DE with GenAI knowledge will not be shortlisted; the candidate must have classical ML/DS exposure with production pipeline design and development experience.","company":"Promantus","rawCompany":"promantus","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-15T10:26:10.486Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ML Engineer","description":"This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks.Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud.Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings.Experience building production-grade ML pipelines, and data pipelines.Solid Python development skills with APIs development (FastAPIs) and familiarity with ML workflows.Delta Lake, MLflow, and workflow orchestration experience.Agentic development and GenAI experience will be a big plusFamiliarity with ELK (Elastic Kibana)Please note that DE with GenAI knowledge will not be shortlisted; the candidate must have classical ML/DS exposure with production pipeline design and development experience.","datePosted":"2026-08-15T10:26:10.486Z","dateModified":"2026-08-15T10:26:10.486Z","hiringOrganization":{"@type":"Organization","name":"Promantus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bd0fea3dff84cdf2c997c397"},"url":"https://jobsearcher.com/jobs/bd0fea3dff84cdf2c997c397"}}