Senior AI/ML Engineer - R01544842

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Senior AI/ML Engineer

Primary Skills

• Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Job requirements

• Role: Senior AI/ML Engineer
• Years of Experience: 8+ years
• Location: San Ramon, CA (Remote)




• Drift Frame Work : Framework for detecting drift Automatically monitor track accuracy and trigger model retraining and notifications to restore previous accuracy levels.
• ML Generalist: Data Scientist with MLOPS Development and maintenance of ML pipeline ML Engineer focusing on experimentation and tracking.




Responsibilities:

• Model Development: Develop machine learning models and algorithms to solve business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning.
• Deployment and Integration: Deploy machine learning models into production environments and integrate them with existing systems and workflows.
• Performance Optimization: Optimize machine learning models for scalability, efficiency, and performance, considering factors such as latency, throughput, and resource utilization.
• Monitoring and Maintenance: Monitor model performance in production, identify and diagnose issues, and implement solutions to ensure continued reliability and effectiveness. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver solutions that meet stakeholders' needs.
• Research and Innovation: Stay up-to-date with the latest advancements in artificial intelligence and machine learning research, and explore new techniques and methodologies to improve model performance and capabilities.




• Why should you apply for this role?
• (Practice Pitch)
• As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The Advisory and Value Assurance (AVA) team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.
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• Know more about
• PPE: https://www.brillio.com/platform-and-product-engineering/
• DAE: https://www.brillio.com/services-data-analytics/
• CES: https://www.brillio.com/services-customer-experience-services/
• DI: https://www.brillio.com/services-digital-infrastructure/
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• Know what it’s like to work and grow at Brillio:https://www.brillio.com/join-us/
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• Equal Employment Opportunity Declaration
• Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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