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.
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Technologies

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

• 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

• 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

• Strong verbal and written communication skills in English
• Ability to effectively collaborate with cross-functional teams and interact with all levels of management

• 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