AI/ML Engineer (Bedrock Specialist) - R01544772

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.

Data Scientist

• 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

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• Job Title: AI/ML Engineer (Bedrock Specialist – Agentic Solution Engineer)
• Experience Required: 5-8 years
• Location: Princeton, NJ (Hybrid Model)
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• Job Description:
• Seeking an AI/ML Engineer specializing in Bedrock and agentic solutions to design, implement, and optimize advanced AI architectures. The ideal candidate will possess a strong technical background, hands-on expertise with AI/ML tools and frameworks, and a proven ability to deliver high-performing, reliable AI systems.
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• Key Responsibilities:
•               • Design and Implementation: Develop scalable AI agent architectures tailored to business requirements.
•               • Bedrock Model Expertise: Fine-tune and implement Bedrock models for various use cases.
•               • Optimization: Enhance model performance while balancing computational cost efficiency.
•               • System Reliability: Ensure the dependability, robustness, and accuracy of deployed AI systems.
•               • Innovation: Stay abreast of advancements in AI/ML technologies to continuously refine solutions.
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• Required Technical Skills:
•               • Large Language Models (LLMs):
•                              ○ Proficiency in LLM-based systems and prompt engineering.
•                              ○ Experience in fine-tuning and deploying foundational models.
•               • Python and ML Frameworks:
•                              ○ Hands-on expertise with PyTorch, TensorFlow, and related libraries.
•               • Vector Databases and Embeddings:
•                              ○ Familiarity with working on vector databases to optimize AI workflows.
•               • Cloud and APIs:
•                              ○ Experience with cloud-based AI solutions, particularly AWS Bedrock, and API integrations.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

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