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Machine Learning Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Mexico

Offer summary

Qualifications:

Strong experience with AWS technologies, Proven expertise in Python and related libraries, Extensive experience in NLP and sentiment analysis, Familiarity with model evaluation techniques, Excellent problem-solving skills.

Key responsabilities:

Lead GenAI POC design and development
Implement NLP and deep learning techniques
Develop algorithms for sentiment analysis and evaluation
Collaborate with stakeholders from AWS ProServe and HBS
Present findings to non-technical stakeholders

EPAM Systems Information Technology & Services XLarge https://www.epam.com/

10001 Employees

See more EPAM Systems offers

Job description

Join our innovative IT company as a Senior/Lead Data Engineer and take a leading role in developing a groundbreaking GenAI platform. This platform is designed to perform semantic analysis on earnings call transcripts using state-of-the-art technologies. If you are passionate about pushing the boundaries of machine learning and natural language processing, we invite you to bring your expertise and vision to our team and help shape the future of financial analytics.

Responsibilities

Lead the design and development of the GenAI Proof of Concept (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 HBS 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

Strong experience with Amazon Web Services, particularly Amazon Bedrock, SageMaker, and S3
Proven expertise in Python programming and libraries relevant to NLP and deep learning
Extensive experience in natural language processing, sentiment analysis, and prompt engineering
Familiarity with model evaluation techniques specific to NLP applications
Excellent problem-solving skills and ability to work in a dynamic and agile environment

Nice to have

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.