More jobs:
AI Architect - R01566870
Job in
Edison, Middlesex County, New Jersey, 08817, USA
Listed on 2026-07-23
Listing for:
Brillio
Full Time
position Listed on 2026-07-23
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Engineering
Job Description & How to Apply Below
Consultant
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(Kube Flow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (Tensor Flow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
- Data Science Advanced:
Senior AI/ML Engineer
Job Requirements
- AI Architect
- Location:
Plainsboro, NJ - Work Type:
Hybrid with min 4 days onsite per week - Key:
Please focus on AI Architect profiles rather than Senior/Lead Data Scientist profiles and with a Pharma/Life Sciences background, with Snowflake Cortex as a good-to-have skill. - Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL) Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems.
- Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
- Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.
- Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.
Preferred Qualifications
- Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services will be an added advantage.
- Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.
- Knowledge of data warehousing, data engineering concepts, and API integrations.
- Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.
- With Lifesciences experience preferred
#LSR1 $ 80 - $85 an hour
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