Senior Python Developer

Bounteous•Montreal, QC

53d

About The Position

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for todayâs complex challenges and tomorrowâs opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We are seeking a Senior Python Developer with over 7 years of experience to design and build scalable, resilient enterprise applications with a focus on LLM-based AI solutions.

Requirements

7+ years of experience with Python development with a focus in AI/ML
Bachelor's in computer science or related field
Enterprise application design experience
Experience with OOP and design patterns
System Design: Resiliency, observability, scalability, performance
Methodology : Agile development experience
Prompt engineering: Create, maintain and update prompts for LLM version
LLM experience -Working with OpenAI and different LLM models
Testing: Conduct benchmarking experiments and performance analysis
Monitoring - Ongoing monitoring of ML solutions

Nice To Haves

Java development experience
Machine leaning and vector database
Microsoft Azure cloud
FinTech application development
Global delivery team experience.

Responsibilities

Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

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