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Day 2
Early. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Design predictive models for asset onboarding and device analytics
Architect and build anomaly-detection algorithms for industrial diagnostics
Develop RAG pipelines for intelligent information retrieval
Build document extraction workflows for structured and unstructured data
Track deployed models and refine them using performance data and feedback
Design predictive models supporting asset onboarding and device analytics
Architect and build anomaly-detection algorithms for industrial diagnostics
Develop RAG pipelines that enable intelligent information retrieval
Build document extraction workflows handling both structured and unstructured data
Track deployed models and refine them based on performance data and user feedback
Minimum 3 years working in AI/ML engineering and solution delivery
Skilled in Databricks, Spark ML, and distributed data processing systems
Experience creating predictive models and anomaly-detection algorithms
Competency in constructing RAG pipelines, document extraction, and AI agents
English language proficiency at Upper-Intermediate (B2) level or above
We are looking for a Senior AI Engineer who will construct, validate, and implement ML and GenAI components supporting asset onboarding, industrial diagnostics, and device analytics using Databricks. This professional will create predictive models, anomaly-detection algorithms, RAG pipelines, document extraction systems, and AI agent functionalities. Responsibilities Construct, validate, and implement ML and GenAI components using Databricks Design predictive models supporting asset onboarding and device analytics Architect and build anomaly-detection algorithms for industrial diagnostics Develop RAG pipelines that enable intelligent information retrieval Build document extraction workflows handling both structured and unstructured data Create AI agent functionalities that support advanced automation use cases Work with cross-functional teams to convert business requirements into AI solutions Enhance model performance, scalability, and reliability within production environments Track deployed models and refine them based on performance data and user feedback Requirements Minimum 3 years working in AI/ML engineering and solution delivery Strong background in AI Solution Engineering, covering model design and deployment Skilled in Databricks, Spark ML, and distributed data processing systems Experience creating predictive models and anomaly-detection algorithms Competency in constructing RAG pipelines, document extraction, and AI agents Familiarity with GenAI principles and industrial diagnostics applications Ability to architect complete ML workflows spanning data ingestion through deployment English language proficiency at Upper-Intermediate (B2) level or above
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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Day 2
Early. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
656 open jobs
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Yes. We’ve followed 3 other Senior AI Engineer/ Databricks, Machine Learning jobs there since November 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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