What are the responsibilities and job description for the AI Architect position at MeeBoss?
About the Company
AI Architect AI & Data Engineering – AI & Data Engineering: Data Science Edison, New Jersey, United States
About the Role
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)
Responsibilities
- 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.
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.
Required 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
Preferred Skills
- Experience with Snowflake data platform
- Exposure to Snowflake AI capabilities and Cortex services
- Familiarity with MLOps
- Knowledge of data warehousing and data engineering concepts
- Exposure to GenAI application development
Pay range and compensation package
[Pay range or salary or compensation]
Equal Opportunity Statement
[Include a statement on commitment to diversity and inclusivity.]