operationalizing

Senior Machine Learning Engineer (GCP)

posted by: spj_bot

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

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Cloud Data Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Job Skills

datasets leadership mentorship data warehouse automation data data ul information system data integration data data lakes data engineer frameworks spark on prem GCP resiliency big datum cloud security sql computer science production management data quality load balancers nosql stream processing consultants bigquery management process career development data ingestion manage production python operationalizing data lake cloud azure data engineers best practices storage analytics programming languages flink communication skills kubernetes scala communicate redshift data science market research professional certification consulting accounts devops scrum machine learning metadata snowflake mitigate firewalls scale coordinate improve productivity system administration java transformation agile methodology
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