* 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.* 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).* 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.* 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 employers 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 worlds leading tier-one banks, financial institutions and insurance firms.* A truly diverse, fun-loving and global work culture.At Synechron, we are committed to integrating *sustainability* into our business *strategy*, ensuring *responsible growth* while minimizing *environmental impact*. Employees play a *key role* in driving our sustainability *initiatives*, from reducing our *carbon footprint* to fostering *ethical* and sustainable business *practices* across *global operations*. All positions are required to adhere to our *Sustainability and Health Safety standards*, demonstrating a commitment to *environmental stewardship*, *workplace safety*, and *sustainable practices.* #J-18808-Ljbffr
Job Title
Machine Learning Engineer