Python Engineer

Posted Yesterday
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Montréal, QC
Hybrid
Senior level
Agency • Digital Media • eCommerce • Professional Services • Software • Analytics • Consulting
Creating digital solutions for today's challenges and tomorrow's opportunities.
The Role
Work on an ML squad building and maintaining a Python library, support and test prompts/LLM integrations, perform benchmarking and performance analysis, ensure information security and data protection compliance, and collaborate with clients and SMEs to translate business requirements into production-ready code.
Summary Generated by Built In
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s 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.

The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME’s and understand the business requirements proper python code development.

This is a hybrid role with 3 days in office, based out of Montreal, QC

Information Security 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

Responsibilities:

  • Contribute to development and maintenance of the python library.
  • Contribute to the support of the library.
  • Participate in prompt engineering.
  • Maintain the prompts and keep them up to date with the new LLM versions.
  • Conduct regular testing and performance analysis.
  • Participate in prompt benchmarking experiments.

Requirements:

  • Bachelor’s in computer science or related field
- Years of experience: 5+
- Hands-on experience in building python applications
  • Excellent Python development skills
  • Excellent architecture design skill for enterprise applications.
  • Knowledge of object-oriented programming and design patterns
- Knowledge of system resiliency, observability, scalability and performance
- Experience of Agile development
  • Strong analytical skills and passion for problem-solving

  • Good communication skills

Nice to Have:

  • Experience with Open AI and different LLM models, conduct testing and performance evaluation is required.
  • Experience with Java development
  • Experience with machine learning, vector databases
  • Cloud-based application development preferably using Microsoft Azure Cloud

  • Prior experience in FinTech application development

  • Exposure to working in a global delivery team

We invite you to stay connected with us by subscribing to our monthly job openings alert here.

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 

For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. 

*Must be legally eligible to work in Canada. 

Top Skills

Python,Openai,Llms,Prompt Engineering,Java,Vector Databases,Microsoft Azure,Machine Learning,Gen Ai

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The Company
HQ: Frisco, Texas
5,000 Employees
Year Founded: 2003

What We Do

Bounteous is an end-to-end digital transformation services consultancy that partners with leading brands around the globe to co-innovate and drive exceptional client outcomes. We build digital solutions for today’s challenges and tomorrow’s opportunities through transformative products and experiences. Driven by co-innovation, high technical and domain expertise, and a commitment to global talent, we foster a culture of belonging, support, and growth, ensuring accountability and successful business outcomes.

Our thousands of skilled strategists and technologists and around the world shatter boundaries, obsess over outcomes, and forge the future. Our people, clients, and partners make Bounteous exceptional.

We drive success for the world’s biggest brands with award-winning solutions:
Artificial Intelligence
Data & AI
Digital Commerce
Experience Innovation & Design
Enterprise Digital Transformation
Marketing Activation & Loyalty
Digital Product & Platform Engineering
Cloud Enablement & Modernization

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Our remote-first teams of talented individuals collaborate and co-innovate worldwide. We believe productivity thrives anywhere, so you're empowered to work in the way and environment where you perform best.

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