Machine Learning Engineer

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 Machine Learning Engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. 

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 Toronto, ON  is CAD $115k – CAD $125k/year & benefits (see below).

The Role

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
• Working 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.
• Conduct code reviews, participate in technical design sessions, and provide mentorship to junior engineers.
• Troubleshoot and resolve issues related to ML models and data pipelines.
• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
• Develop and maintain comprehensive documentation for ML models and processes.
• Provide strategic input into project planning and execution, ensuring alignment with business goals.

Requirements:

• 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 SpringBoot frameworks
• Experience with data handling, preprocessing, 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.
• Effective communication skills, capable of presenting technical concepts to non-technical audiences.
• Ability to work collaboratively in a cross-functional team environment.
• Open-minded, receptive to new ideas, and always looking for a better way to do something.
• A passion for simplifying and automating work, making things better, continuous learning, open-ended problems, efficiency and helping others.
• Knowledgeable about containers and orchestration (e.g. Docker, Kubernetes).

Preferred, but not required:

• Proven experience as a machine learning engineer or similar role.
• Familiarity with Python, Java, and R.
• Excellent communication and collaboration skills.
• Innovative mind with a passion for continuous learning.
• General knowledge of building machine learning systems. 

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.

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