Senior GenAI Data Scientist (Fintech)

TL;DR

Senior GenAI Data Scientist (Fintech): Designing and implementing data architectures for GenAI solutions, focusing on structuring diverse data sources for AI workflows and scaling proof-of-concepts to production-ready data solutions. Focus on automated data stream management, pipeline orchestration, and ensuring seamless data flow for model training and inference.

Location: Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Company

hirify.global is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions.

What you will do

• Design and implement data architectures for GenAI solutions across structured, semi-structured, and unstructured data sources.
• Extract, prepare, and optimize data for consumption into AI platforms from data lakes and direct model ingestion.
• Develop and manage automated data streams and pipeline orchestration.
• Implement data quality monitoring and validation frameworks for GenAI applications.
• Design feature engineering strategies specifically for Foundation Models and LLM implementations.
• Scale proof-of-concepts to production-ready, enterprise-grade data solutions.

Requirements

• Hands-on experience with diverse data sources (structured, semi-structured, unstructured) for AI platform integration.
• Proven ability to extract, prepare, and structure data for consumption into AI platforms from data lakes or direct model ingestion.
• Experience structuring various data sources for proper ingestion into AI workflows and Foundation Model training.
• Advanced knowledge of automated data stream management and pipeline orchestration for AI/ML workloads.
• Demonstrated experience building scalable data infrastructure supporting GenAI applications in production environments.
• Strong background in AWS data services (S3, Glue, Kinesis, etc.) and integration with AI/ML platforms.
• Advanced Python, SQL, and experience with big data technologies (Spark, Kafka, etc.).
• Proven track record of transitioning POCs to production-ready, enterprise-scale data solutions.
• 5+ years data science experience with 2+ years dedicated GenAI data engineering and preparation experience.
• Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Nice to have

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related technical field (Master's preferred)
• AWS certifications (Data Analytics, Machine Learning Specialty, etc.)
• Experience with financial services or payment processing data systems
• Knowledge of data governance and compliance frameworks in regulated industries

Culture & Benefits

• Vacation: As per the laws of your country, take a proper rest.
• Health insurance: Assistance to take out an insurance policy for you and your loved ones.
• Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country.
• Time off for state holidays: According to the official calendar, regardless of the client’s schedule.
• Pleasant environment: Two large corporate parties and many small get-togethers for colleagues.
• Comfort service: Solving technical and everyday problems at work.