OSI Digital
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Job Title:
Cloud Data & AI Engineer Employment:
Full-time OSI Digital Inc accelerates client digital transformation by delivering modern data solutions on scalable cloud platforms, enabling data-driven insights with intelligent analytics and AI-driven solutions. Our teams combine data engineering, cloud platform expertise, advanced analytics, and AI/ML to build scalable, future-ready solutions that drive measurable client outcomes. Role Summary
We are seeking a highly skilled, results-driven Modern Cloud Data and AI Engineer with a strong background in modern cloud data architecture, specifically on Snowflake, and hands-on experience in developing data solutions in Power BI and implementing AI solutions. The ideal candidate combines data engineering, integration, and BI expertise with hands-on AI project execution and will be a strong communicator capable of delivering projects from inception to deployment. Key Responsibilities
Lead the design, development, and implementation of scalable and secure data warehouse solutions on Snowflake, including schema design, data loading, performance tuning, and cloud-cost optimization Design and build robust, efficient data pipelines (ETL/ELT) using advanced data engineering techniques, including data integration via direct APIs (REST/SOAP) and tools such as Talend, Stitch, Fivetran, or native cloud services Develop and implement high-impact visual analytics and semantic models in Power BI, applying features such as DAX, Row-Level Security (RLS), and dashboard deployment pipelines Proficiency in Python/R, familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch), experience with MLOps concepts, and deploying models into production on cloud platforms Develop and deploy AI/ML solutions using Python, Snowpark, or cloud-native ML services (AWS SageMaker, Azure ML) Exposure to LLM/GenAI projects (chatbots, 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 client-facing skills to gather requirements and lead project delivery from inception to final deployment Required Qualifications
Minimum of 4 years of professional experience in data engineering, consulting, and solution delivery Bachelor’s degree in computer science, engineering, or a related technical field; a master’s degree is highly preferred Strong, hands-on experience in end-to-end Snowflake project implementation; professional Snowflake certifications are preferred Expertise in designing, building, and maintaining ELT/ETL pipelines with data warehousing best practices Hands-on experience implementing dashboards in Power BI, including DAX and RLS; Power BI certifications are preferred Proficiency in Python with demonstrable experience deploying at least one AI/ML project (e.g., Snowpark, Databricks, SageMaker, Azure ML) including feature engineering, model deployment, and MLOps practices Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, and production deployments Familiarity with LLM/Generative AI projects (chatbots, NLP, recommendation systems, anomaly detection) Hands-on experience with cloud platforms, specifically AWS or Azure Excellent verbal and written communication, presentation, and client-facing consulting skills, with a proven track record of leading projects from inception Preferred (Added Advantage) Qualifications
Experience with Tableau or other leading BI tools Working knowledge of Databricks (Spark, Delta Lake) Understanding of Data Science methodologies and statistical modeling Relevant industry certifications (Power BI, Snowflake, Databricks, AWS/Azure Data/AI credentials)
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Cloud Data & AI Engineer Employment:
Full-time OSI Digital Inc accelerates client digital transformation by delivering modern data solutions on scalable cloud platforms, enabling data-driven insights with intelligent analytics and AI-driven solutions. Our teams combine data engineering, cloud platform expertise, advanced analytics, and AI/ML to build scalable, future-ready solutions that drive measurable client outcomes. Role Summary
We are seeking a highly skilled, results-driven Modern Cloud Data and AI Engineer with a strong background in modern cloud data architecture, specifically on Snowflake, and hands-on experience in developing data solutions in Power BI and implementing AI solutions. The ideal candidate combines data engineering, integration, and BI expertise with hands-on AI project execution and will be a strong communicator capable of delivering projects from inception to deployment. Key Responsibilities
Lead the design, development, and implementation of scalable and secure data warehouse solutions on Snowflake, including schema design, data loading, performance tuning, and cloud-cost optimization Design and build robust, efficient data pipelines (ETL/ELT) using advanced data engineering techniques, including data integration via direct APIs (REST/SOAP) and tools such as Talend, Stitch, Fivetran, or native cloud services Develop and implement high-impact visual analytics and semantic models in Power BI, applying features such as DAX, Row-Level Security (RLS), and dashboard deployment pipelines Proficiency in Python/R, familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch), experience with MLOps concepts, and deploying models into production on cloud platforms Develop and deploy AI/ML solutions using Python, Snowpark, or cloud-native ML services (AWS SageMaker, Azure ML) Exposure to LLM/GenAI projects (chatbots, 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 client-facing skills to gather requirements and lead project delivery from inception to final deployment Required Qualifications
Minimum of 4 years of professional experience in data engineering, consulting, and solution delivery Bachelor’s degree in computer science, engineering, or a related technical field; a master’s degree is highly preferred Strong, hands-on experience in end-to-end Snowflake project implementation; professional Snowflake certifications are preferred Expertise in designing, building, and maintaining ELT/ETL pipelines with data warehousing best practices Hands-on experience implementing dashboards in Power BI, including DAX and RLS; Power BI certifications are preferred Proficiency in Python with demonstrable experience deploying at least one AI/ML project (e.g., Snowpark, Databricks, SageMaker, Azure ML) including feature engineering, model deployment, and MLOps practices Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, and production deployments Familiarity with LLM/Generative AI projects (chatbots, NLP, recommendation systems, anomaly detection) Hands-on experience with cloud platforms, specifically AWS or Azure Excellent verbal and written communication, presentation, and client-facing consulting skills, with a proven track record of leading projects from inception Preferred (Added Advantage) Qualifications
Experience with Tableau or other leading BI tools Working knowledge of Databricks (Spark, Delta Lake) Understanding of Data Science methodologies and statistical modeling Relevant industry certifications (Power BI, Snowflake, Databricks, AWS/Azure Data/AI credentials)
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