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Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Mexico

Offer summary

Qualifications:

Extensive experience in natural language processing, Proven expertise in Python programming, Experience with Amazon SageMaker and Bedrock, Familiarity with model evaluation techniques, Strong problem-solving skills.

Key responsabilities:

  • Lead the design of GenAI POC
  • Implement NLP and deep learning techniques
  • Develop algorithms for sentiment analysis
  • Collaborate with stakeholders to deliver solutions
  • Present technical findings to non-technical teams
EPAM Systems logo
EPAM Systems Information Technology & Services XLarge https://www.epam.com/
10001 Employees
About EPAM Systems
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique 'Engineering DNA,' EPAM's globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people's lives. In 2021, EPAM was added to the S&P 500 and included among the list of Forbes Global 2000 companies.   Selected by Newsweek as a 2021 and 2022 Most Loved Workplace, EPAM's global multi-disciplinary teams serve customers in more than 50 countries across six continents. As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked four times as the top IT services company on Fortune's 100 Fastest Growing Companies list. EPAM is also listed among Ad Age's top 25 World's Largest Agency Companies for three consecutive years, and Consulting Magazine named EPAM Continuum a top 20 Fastest Growing Firm. Learn more at  www.epam.com.
See more EPAM Systems offers

Job 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.

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


Technologies


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


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


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.

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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

Model ValidationAmazon S3Python (Programming Language)Sentiment AnalysisDeep LearningAWS SageMakerPrompt EngineeringNatural Language Processing (NLP)AWS BedrockAgile Methodology

Other Skills

  • Verbal Communication Skills
  • Problem Solving
  • Collaboration
Are you interested?

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