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machine learning engineer (python, aws)

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Python.ML, AWS Bedrock, Amazon ML, Amazon Textract, Amazon Web Services, Python, Amazon OpenSearch, LangChain, Retrieval-Augmented Generation
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Georgia, India, Kazakhstan, Kyrgyzstan, Poland, Uzbekistan

We are looking for a remote Machine Learning Engineer to join our team and assist in constructing a backend for the operational implementation of GenAI for tax reporting use cases.

Our client has completed a series of Proof of Concepts (PoCs) and demonstrated the value of the required functionality. The ideal candidate should have an understanding of GenAI's foundational concepts and be prepared to develop a solution that incorporates innovative and emerging functionalities.

responsibilities
  • Orchestrate AWS services to build RAG pipelines and implement solutions based on GenAI
  • Transform components provided by the customer Data Scientists into production-quality code
  • Provide engineering insights on how to construct a backend service using native cloud services, while incorporating considerations for scalability, networking, and security
  • Collaborate with cross-functional teams to achieve project goals
  • Ensure compliance with best practices for machine learning development and deployment
  • Engage with your mentor for continuous learning and development of technical and soft skills
requirements
  • At least 2 years of experience in developing machine learning models and deploying them into production with Python
  • Experience in extracting content from PDF documents using either open-source tools or cloud services, such as Amazon Textract
  • Experience in interfacing with cloud-hosted LLMs is required. The client is currently utilizing Azure OpenAI Services and is considering transitioning to Amazon Bedrock
  • Experience in developing applications using AWS services
  • Proficiency in Amazon OpenSearch and Amazon Bedrock, for building RAG applications
  • Familiarity with any framework for constructing RAG applications, such as LangChain, LlamaIndex, etc., with a preference for Haystack
  • Fluent in English, with at least an Upper-Intermediate level of competency for effective communication with the team and stakeholders
nice to have
  • Additional experience in developing and deploying machine learning models

benefits for locations

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For you
  • Paid time off
  • Paid sick leave days
  • Medical insurance
  • Stable income
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For your comfortable work
  • 100% remote work forever
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
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For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Language courses
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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