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Job Title: Cloud Data & AI Engineer Employment: Full-time Overview At OSI Digital Inc, we accelerate our clients digital transformation journey by delivering modern data solutions, enabling them to unlock the full potential of their data with scalable cloud platforms, intelligent analytics, and AIdriven solutions. With deep expertise across data engineering, cloud platforms, advanced analytics, and AI/ML, our teams bring both technical mastery and business acumen to every engagement. We dont just implement toolswe build scalable, futureready solutions that drive measurable outcomes for our clients. Role Summary We are seeking a highly skilled and resultsdriven Modern Cloud Data and AI Engineer with a strong background in modern cloud data architecture, specifically on Snowflake, and handson experience in developing Data solutions in PowerBI, implementing AI solutions. The ideal candidate combines strong data engineering, integration, and BI expertise with handson AI project execution, supporting OSIs reputation for highimpact consulting in cloud and digital transformation spaces and will be a strong communicator, capable of implementing projects from the ground up. Key Responsibilities Lead the design, development, and implementation of highly scalable and secure data warehouse solutions on Snowflake, including schema design, data loading, performance tuning, and optimizing cloud costs. Design and build robust, efficient data pipelines (ETL/ELT) using advanced data engineering techniques. This includes handson experience in data integration via direct APIs (REST/SOAP) and working with various integration tools (e.g., Talend, Stitch, Fivetran, or native cloud services). Develop and implement highimpact visual analytics and semantic models in PowerBI. Apply advanced features such as DAX, RowLevel Security (RLS), and dashboard deployment pipelines. Proficiency in Python/R, familiarity with ML frameworks (scikitlearn, TensorFlow, PyTorch), experience with MLOps concepts, and deploying models into a production environment on cloud platforms. Develop and deploy AI/ML solutions using Python, Snowpark, or cloudnative ML services (AWS SageMaker, AzureML). Exposure to LLM/GenAI projects (chatbot implementations, NLP, recommendation systems, anomaly detection) is highly desirable. Implement and manage data solutions utilizing core services on at least one major cloud platform (AWS or Azure). Demonstrate exceptional communication and articulation skills to engage with clients, gather requirements, and lead project delivery from ground up (inception to final deployment). Required Qualifications Minimum of 4 years of professional experience in data engineering, consulting, and solution delivery. Bachelors degree in computer science, engineering, or a related technical field. A masters degree in a relevant field is highly preferred. Strong, handson experience in endtoend Snowflake project implementation. Any professional certifications in Snowflake preferred. Expertise in designing, building, and maintaining ELT/ETL pipelines and data workflows, with a solid understanding of data warehousing best practices. Handson experience implementing dashboards in PowerBI, including DAX and RLS. Professional certifications in PowerBI are preferred. Proficiency in Python, with demonstrable experience deploying at least one AI/ML project (e.g., Snowpark, Databricks, SageMaker, AzureML) including feature engineering, model deployment, and MLOps practices. Experience with machine learning frameworks such as scikitlearn, TensorFlow, or PyTorch, and handson exposure to production deployments. Familiarity with projects involving LLM/Generative AI (e.g., chatbots, NLP, recommendation systems, and anomaly detection). Handson experience working with cloud platforms, specifically AWS or Azure. Excellent verbal and written communication, presentation, and clientfacing consulting skills, with proven track record of successfully leading projects from inception. Preferred (Added Advantage) Qualifications Experience with Tableau or other leading BI tools. Working knowledge of Databricks (e.g., Spark, Delta Lake). Experience or strong understanding of Data Science methodologies and statistical modeling. Relevant industry certifications, including PowerBI, Snowflake, Databricks and AWS/Azure Data/AI credentials. #J-18808-Ljbffr