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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a skilled Machine Learning Engineer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics.

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 $110K - CAD $125K/year & benefits (see below).

The Role

Responsibilities:

• Develop and implement machine learning models using Spark ML for predictive analytics.
• Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop).
• Process and analyze large-scale datasets to extract meaningful insights and features.
• Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines.
• Evaluate model performance and fine-tune hyperparameters to improve accuracy and efficiency.
• Implement scalable solutions for real-time and batch inference.
• Monitor and troubleshoot deployed models to ensure reliability and performance.
• Stay updated with advancements in machine learning frameworks and distributed computing technologies.

Requirements:

• 10+ years’ experience as a Machine Learning Engineer.
• Proficiency in Apache Spark and Spark MLlib for machine learning tasks.
• Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering).
• Experience with distributed systems like Hadoop for data storage and processing.
• Proficiency in Python, Scala, or Java for ML development.
• Familiarity with data preprocessing techniques and feature engineering.
• Knowledge of model evaluation metrics and techniques.
• Experience with deploying ML models in production environments.
• Understanding of distributed computing concepts and parallel processing.

Preferred skills:

• Agile, and SQL.

We offer:

• A multinational organization with 58 offices in 21 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.