Data Science Engineer

1 week ago

Toronto, Canada Synechron Full time

About Synechron

Synechron is a global consulting firm that combines creativity and innovative technology to deliver industry-leading digital solutions. Our 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.

As a leader in the digital transformation space, 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.

The Challenge

We are seeking a highly skilled Data Science Engineer to join our team. As a member of our cross-functional team, you will be responsible for the full software development life cycle, from conception to deployment. You should have extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning and proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.

Responsibilities:

  • Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
  • Work with a team to build digital applications to integrate with ML solution solutions to the users.
  • Mentor and guide junior engineers, providing technical expertise and leadership in ML projects.
  • Collaborate with cross-functional teams to integrate ML solutions into various product features.
  • Work with large datasets to identify trends, patterns, and insights that drive decision-making.
  • Implement and optimize ML models for high availability, scalability, and performance in production environments.
  • Stay up-to-date with the latest advancements in AI/ML technologies and apply them to improve our systems.
  • Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology.

Requirements:

You are expected to have:

  • Extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning.
  • Proven leadership skills with the ability to mentor and guide junior engineers.
  • Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Strong programming skills & experience writing clean code in languages like Python, Java, or similar.
  • 1-2 Experience in Building digital applications using Django or Spring Boot frameworks.
  • Experience with data handling, pre-processing, and pipeline development, including proficiency in SQL/NoSQL databases.
  • Knowledge of AI technologies, including Gen AI, LLMs, and semantic search.
  • Strong understanding of security architecture and data privacy regulations.
  • Excellent problem-solving skills and a passion for continuous learning and innovation.

What We Offer

We offer a competitive salary of $140,000 - $180,000 per year, depending on experience, plus benefits such as health insurance, retirement plan, and paid time off. You will also have opportunities for professional growth and development, working on cutting-edge projects and collaborating with top talent in the industry.

About the Role

This role is based in one of our global offices, which are located in key markets around the world. You will have the opportunity to work with a diverse team of professionals and contribute to the development of innovative solutions that transform businesses.

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