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Synechron

Gen AI Developer with Python

Reposted 5 Days Ago
Be an Early Applicant
In-Office
Mississauga, ON, CAN
Mid level
In-Office
Mississauga, ON, CAN
Mid level
Develop and optimize AI/ML models using Python, implement prompt engineering and RAG strategies, and collaborate with teams to integrate AI solutions.
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We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.

  

Our challenge

We are seeking a skilled AI/ML Developer with a strong background in advanced Python programming and expertise in various AI frameworks and models. The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a combination of technical ability, creativity, and a passion for innovation in the AI domain.

Additional Information* 

The base salary for this position will vary based on geography and other factors.  In accordance with law, the base salary for this role if filled within Mississauga, ON is CAD $115k – CAD $125k/year & benefits (see below).

The Role

Responsibilities:

  • Develop, test, and deploy advanced AI/ML models and algorithms using Python.
  • Design and implement prompt engineering techniques to optimize model responses and performance.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making.
  • Work with large language models (LLMs) to develop applications that understand and generate human-like text.
  • Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs.
  • Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications.
  • Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies.
  • Document processes, models, and methodologies for future reference and knowledge sharing.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Proven experience in advanced Python programming, with a strong understanding of data structures and algorithms.
  • Demonstrated expertise in prompt engineering and its application within AI models.
  • Familiarity with AI agentic frameworks and their implementation in real-world applications.
  • Experience working with large language models (LLMs) and understanding their architecture and functionalities.
  • Knowledge of retrieval-augmented generation (RAG) techniques and vector databases.
  • Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders.
  • Strong analytical and problem-solving skills with a focus on delivering high-quality results.

Preferred, but not required:

  • Experience with frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
  • Knowledge of data preprocessing and data engineering practices.

We offer:

  • A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
  • Flexible hybrid policy.
  • RRSP with employer’s contribution up to 4%.
  • A higher education certification policy.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
  • A truly diverse, fun-loving and global work culture.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Top Skills

Ai Agentic Frameworks
Ai Frameworks
AWS
Azure
GCP
Hugging Face
Large Language Models
Python
PyTorch
Retrieval-Augmented Generation
TensorFlow
Vector Databases

Synechron Toronto, Ontario, CAN Office

161 Bay St, Toronto, ON , Canada, M5J 2S1

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