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OSI Consulting · 3 months ago

Cloud Data & AI Engineer

Irvine, CA

Full-time

Onsite

Mid, Senior Level

4+ years exp

OSI Consulting accelerates digital transformation by delivering modern data solutions that enable clients to unlock the full potential of their data. They are seeking a highly skilled Cloud Data & AI Engineer to design and implement scalable data solutions on cloud platforms, specifically focusing on Snowflake and Power BI, while also developing AI-driven solutions.

Business DevelopmentBusiness IntelligenceConsulting

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 hands-on 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 high-impact visual analytics and semantic models in Power BI. Apply advanced 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 a production environment 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 (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)

Qualification

SnowflakePower BIPythonETL/ELT pipelinesAI/ML solutionsCloud platformsData engineeringMachine learning frameworksLLM/Generative AICommunication skills

Required

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 in a relevant field is highly preferred

Strong, hands-on experience in end-to-end 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

Hands-on experience implementing dashboards in Power BI, including DAX and RLS. Professional certifications in Power BI 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 hands-on exposure to production deployments

Familiarity with projects involving LLM/Generative AI (e.g., chatbots, NLP, recommendation systems, and anomaly detection)

Hands-on experience working with cloud platforms, specifically AWS or Azure

Excellent verbal and written communication, presentation, and client-facing consulting skills, with proven track record of successfully leading projects from inception