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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Lead AI/ML Engineer
Primary Skills
- Value Quantification : Pre-Model Development Model Provisioning: Kubernetes Kibana Model Monitoring Cloud Computing Python/PySpark SAS/SPSS Great Expectation Evidently AI Deployment Strategies (A/B Blue green Canary) Model testing Tools(KubeFlow BentoML) Integration testing ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Value Quantification: Post-Model Deployment Model Experimentation R/ R Studio
Specialization
- ML Engineering: AI/ML Engineer
Job requirements
- Skills Data Engineering: SQL BigQuery Apache Airflow Cloud: GCP (BigQuery Dataflow) Programming: Python (data processing basic scripting) and Java Data Handling: Data modeling query optimization Roles and Responsibilities Designed developed and optimized complex data pipelines to ingest process and store data from Google Cloud Storage (GCS) to BigQuery. Built API-integrated workflows to fetch data from external APIs process responses and load results into downstream systems. Implemented Pub/Subbased event-driven pipelines supporting both real-time and batch data processing including triggers and message handling. Created and managed BigQuery DDLs views and authorized views ensuring secure data access through appropriate roles and permissions. Improved ETL pipeline and SQL query performance reducing processing time and enhancing BigQuery warehouse efficiency. Conducted DEV and UAT testing validating business logic data quality and end-to-end pipeline stability. Applied business transformation logic to convert raw data into analytics-ready datasets. Generated weekly and monthly SQL-based reports and automated their distribution via email for business stakeholders. Collaborated with client and business stakeholders to gather requirements and deliver accurate efficient and interpretable data solutions. Developed interactive dashboards using Looker Studio to enable clear data visualization and reporting.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
