OSI Digital · 3 months ago
Cloud Data & AI Engineer
Irvine, CA
Full-time
Onsite
Mid, Senior Level
$60K/yr - $130K/yr
4+ years expOSI Digital is a company that accelerates clients' digital transformation by providing modern data solutions. They are seeking a highly skilled Cloud Data & AI Engineer to design, develop, and implement scalable data solutions on cloud platforms, with a focus on data engineering and AI project execution.
Information Technology
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
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
Preferred
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 Power BI, Snowflake, Databricks and AWS/Azure Data/AI credentials
Company
OSI Digital
OSI Consulting is a provider of modern technology solutions for business.
1001-5000 employees
H1B Sponsorship
OSI Digital has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (34)
2023 (32)
2022 (36)
2021 (24)
2020 (28)
Funding
Current Stage
Late StageLeadership Team
Michelle McElroy
Vice President of Retail
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