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From 4,284 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Learn MLOps fundamentals
Build AI agents with LangChain
Implement Retrieval Augmented Generation (RAG) techniques
Develop LLM memory systems for advanced applications
Build production-ready RAG systems with LangChain and LlamaIndex
Gain foundational understanding of Machine Learning Operations (MLOps)
Explore AI Agents in LangChain and build proficiency in related tools
Implement Retrieval Augmented Generation (RAG) techniques
Develop insights into LLM memory systems for advanced applications
Master production-ready RAG systems with LangChain and LlamaIndex
4+ years of production experience in IT
Proficiency in Python, SQL, and cloud platforms such as AWS, GCP, or Azure
Background in tools like Databricks, Spark, and container technologies including Docker and Kubernetes
Familiarity with AI and Large Language Models (LLMs)
English proficiency at B2+ level or higher
We are seeking a Senior Python Software Engineer to join our Big Data/AI Retraining Program, designed for experienced professionals eager to transition into Big Data and AI engineering. This exclusive 8-week program will equip you with the skills required to excel in cutting-edge technologies, while maintaining your current title and compensation. Responsibilities Gain foundational understanding of Machine Learning Operations (MLOps) Explore AI Agents in LangChain and build proficiency in related tools Acquire expertise in LangGraph and its applications Implement Retrieval Augmented Generation (RAG) techniques Develop insights into LLM memory systems for advanced applications Refine evaluation strategies for AI builders using LLMs Build and assess advanced Retrieval Augmented Generation (RAG) functionalities Master production-ready RAG systems with LangChain and LlamaIndex Requirements 4+ years of production experience in IT Proficiency in Python, SQL, and cloud platforms such as AWS, GCP, or Azure Background in tools like Databricks, Spark, and container technologies including Docker and Kubernetes Familiarity with AI and Large Language Models (LLMs) English proficiency at B2+ level or higher
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 4,284 similar postings that came down. Coming down is not always a hire.
656 open jobs
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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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