Machine Learning Engineer

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360\-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. **Designation** : AI/ML Engineer **Experience** : 8 to 12 years **Location** : Toronto, Ontario , Canada **Job Summary:** * Define and lead AI/GenAI strategy leveraging Snowflake Cortex capabilities. * Architect end\-to\-end AI solutions, from data ingestion to model deployment within Snowflake. * Design scalable, secure, and high\-performance data and AI architectures. * Partner with business stakeholders to identify high\-impact AI use cases and translate them into solutions. * Lead solution design, POCs, and production implementations for AI\-driven applications. * Establish best practices for AI governance, model lifecycle management, and responsible AI. **Job responsibility:** * Strong experience in Snowflake, with hands\-on expertise in Snowflake Cortex. * Proven background in AI/ML, including generative AI and LLM\-based solutions. * Experience in solution architecture and data platform strategy. * Strong SQL, Python, and experience integrating AI frameworks and APIs. * Experience working with cloud platforms (AWS, Azure, or GCP). * Excellent stakeholder management and communication skills. At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.