Machine Learning Engineer (Python, AWS)

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EPAM Anywhere

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python Azure AWS

Job Description

Please note that we will be communicating with you using the email address associated with your LinkedIn application. It is important that you check this email regularly for updates on your application status.

Are you a tech professional looking for remote or hybrid work in a global setting? If yes, this job is for you.

We are looking for the candidates with 4+ years of relevant experience.

Welcome to EPAM Anywhere - a global job platform offering remote work opportunities in the technology sector. Join us to build a career around your lifestyle working on modern projects for global brands and exciting start-ups.

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.


  • 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


  • 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

We offer

  • Insurance Coverage
  • Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves.
  • Financial assistance for medical crisis
  • Retiral Benefits – VPF and NPS
  • Customized Mindfulness and Wellness programs
  • EPAM Hobby Clubs
  • Hybrid Work Model
  • Soft loans to set up workspace at home
  • Stable workload
  • Relocation opportunities with ‘EPAM without Borders’ program
  • Certification trainings for technical and soft skills
  • Access to unlimited LinkedIn Learning platform
  • Access to internal learning programs set up by world class trainers
  • Community networking and idea creation platforms
  • Mentorship programs
  • Self-driven career progression tool

Currently we have different openings and we will discuss with you opportunities with remote or hybrid model of work.

Once you apply, you'll receive a confirmation email with a link to EPAM Anywhere platform. Sign up with this link to automate your pre-screening, be able to monitor your application statuses, and enjoy a faster job application process.

We accept CVs in English only.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.

EPAM Anywhere is a part of EPAM Systems, Inc. (NYSE: EPAM). Since 1993, EPAM has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider.

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