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Machine Learning Engineer Remote

Machine Learning Engineer Description

We are seeking a highly skilled and experienced Senior Machine Engineer / Data Scientist to join our AWS ProServe team to work on a groundbreaking project.

In this critical role, you will be responsible for developing a GenAI platform that performs semantic analysis on earnings call transcripts using cutting-edge technologies.


#LI-DNI

Technologies

  • Amazon Bedrock
  • Amazon SageMaker
  • Amazon S3
  • Python
  • Natural Language Processing (NLP)
  • Deep Learning
  • Prompt Engineering
  • Sentiment Analysis
  • Model Evaluation For NLP

Responsibilities

  • Lead the design and development of the GenAI POC using Amazon Bedrock, Amazon SageMaker, and Amazon S3
  • Implement natural language processing (NLP) and deep learning techniques to analyze large sets of financial text data
  • Develop algorithms for sentiment analysis, prompt engineering, and model evaluation tailored to NLP
  • Collaborate with the AWS ProServe team and stakeholders to understand requirements and deliver solutions that meet their needs
  • Present technical findings and progress to non-technical stakeholders, ensuring clear and effective communication
  • Ensure the successful deployment of the model and monitor its performance, making necessary adjustments based on feedback and results

Requirements

  • Extensive experience in natural language processing, sentiment analysis, and prompt engineering
  • Proven expertise in Python programming and libraries relevant to NLP and deep learning
  • Experience with Amazon Web Services, particularly Amazon Bedrock, SageMaker, and S3
  • Familiarity with model evaluation techniques specific to NLP applications
  • Excellent problem-solving skills and ability to work in a dynamic and agile environment
  • Strong verbal and written communication skills in English
  • Ability to effectively collaborate with cross-functional teams and interact with all levels of management

We offer

  • Career plan and real growth opportunities
  • Unlimited access to LinkedIn learning solutions
  • International Mobility Plan within 25 countries
  • Constant training, mentoring, online corporate courses, eLearning and more
  • English classes with a certified teacher
  • Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
  • Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
  • Flexible work schedule and dress code
  • Collaborate in a multicultural environment and share best practices from around the globe
  • Hired directly by EPAM & 100% under payroll
  • Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
  • Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
  • 13 % employee savings fund, capped to the law limit
  • Grocery coupons
  • 30 days December bonus
  • Employee Stock Purchase Plan
  • 12 vacations days plus 4 floating days
  • Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
  • Monthly non-taxable amount for the electricity and internet bills

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.

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