Arkhya Tech. Inc.
Base pay range
$150.00/yr - $180.00/yr
Position type Full-Time
Experience 12–15+ years overall; 4–5+ years in Data/ML Architecture
About the Role We’re seeking an experienced Snowflake ML Architect with hands‑on expertise in Snowflake Cortex, Snowpark ML, and Generative AI integration. This role is ideal for someone who combines deep data architecture expertise with machine learning and GenAI solutioning experience—capable of designing, implementing, and scaling AI/ML workloads natively within the Snowflake platform.
Key Responsibilities
Architect and implement end‑to‑end ML and GenAI solutions within Snowflake using Cortex and Snowpark ML.
Design and manage data pipelines, feature engineering, model training, and inference workflows.
Integrate LLMs and vector search for Retrieval Augmented Generation (RAG) and semantic search use cases.
Collaborate with data engineering and data science teams to standardize ML development and deployment practices.
Build and optimize data models, UDFs, and stored procedures in Python and Snowflake SQL.
Leverage Streamlit and Snowflake Native Apps for building ML‑driven dashboards or user interfaces.
Ensure scalability, performance, and governance of ML workloads in Snowflake.
Stay up to date with new Cortex and Snowpark ML capabilities and recommend best practices for adoption.
Mentor developers and guide teams in data‑to‑AI pipeline architecture and MLOps implementation.
Required Skills & Qualifications
Strong hands‑on experience with Snowflake, including performance tuning, data modeling, and security best practices.
Expertise in Snowflake Cortex, Snowpark ML, Streamlit, and Python‑based UDFs.
Solid programming skills in Python and experience with ML frameworks (scikit‑learn, PyTorch, TensorFlow, etc.).
Practical exposure to LLMs, GenAI, and RAG‑based architectures.
Experience integrating AI/ML models into production using Snowflake’s native capabilities.
Strong understanding of cloud data ecosystems—AWS, Azure, or GCP.
Familiarity with MLOps, CI/CD, containerization (Docker/Kubernetes), and orchestration tools (Airflow, dbt, etc.).
Excellent communication, documentation, and leadership skills.
Preferred Qualifications
Experience with data migration or modernization to Snowflake.
Snowflake Advanced Architect / SnowPro Core certification.
Understanding of data governance, security, and cost optimization in cloud environments.
Prior exposure to AI use cases like chatbot design, summarization, or recommendation.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Consulting
Referrals increase your chances of interviewing at Arkhya Tech. Inc. by 2×
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Position type Full-Time
Experience 12–15+ years overall; 4–5+ years in Data/ML Architecture
About the Role We’re seeking an experienced Snowflake ML Architect with hands‑on expertise in Snowflake Cortex, Snowpark ML, and Generative AI integration. This role is ideal for someone who combines deep data architecture expertise with machine learning and GenAI solutioning experience—capable of designing, implementing, and scaling AI/ML workloads natively within the Snowflake platform.
Key Responsibilities
Architect and implement end‑to‑end ML and GenAI solutions within Snowflake using Cortex and Snowpark ML.
Design and manage data pipelines, feature engineering, model training, and inference workflows.
Integrate LLMs and vector search for Retrieval Augmented Generation (RAG) and semantic search use cases.
Collaborate with data engineering and data science teams to standardize ML development and deployment practices.
Build and optimize data models, UDFs, and stored procedures in Python and Snowflake SQL.
Leverage Streamlit and Snowflake Native Apps for building ML‑driven dashboards or user interfaces.
Ensure scalability, performance, and governance of ML workloads in Snowflake.
Stay up to date with new Cortex and Snowpark ML capabilities and recommend best practices for adoption.
Mentor developers and guide teams in data‑to‑AI pipeline architecture and MLOps implementation.
Required Skills & Qualifications
Strong hands‑on experience with Snowflake, including performance tuning, data modeling, and security best practices.
Expertise in Snowflake Cortex, Snowpark ML, Streamlit, and Python‑based UDFs.
Solid programming skills in Python and experience with ML frameworks (scikit‑learn, PyTorch, TensorFlow, etc.).
Practical exposure to LLMs, GenAI, and RAG‑based architectures.
Experience integrating AI/ML models into production using Snowflake’s native capabilities.
Strong understanding of cloud data ecosystems—AWS, Azure, or GCP.
Familiarity with MLOps, CI/CD, containerization (Docker/Kubernetes), and orchestration tools (Airflow, dbt, etc.).
Excellent communication, documentation, and leadership skills.
Preferred Qualifications
Experience with data migration or modernization to Snowflake.
Snowflake Advanced Architect / SnowPro Core certification.
Understanding of data governance, security, and cost optimization in cloud environments.
Prior exposure to AI use cases like chatbot design, summarization, or recommendation.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Consulting
Referrals increase your chances of interviewing at Arkhya Tech. Inc. by 2×
#J-18808-Ljbffr