Senior Architect

Posted Aug 24

This is a fully remote position, open to applicants in United States.

📋 Description

• Expand the Data Science and Analytics division through business development, resource allocation, and effective delivery.

• Assess the business impact and value generated from analytics initiatives.

• Assist in formulating go-to-market strategies for advanced AI/ML services and hardware solutions.

• Present customer demonstrations illustrating how data can propel business objectives.

• Develop proposals and statements of work for potential clients.

• Partner with sales and practice leaders to enhance data science service offerings.

• Oversee complete sales cycles for high-value clients.

• Analyze business impact and prioritize initiatives for managed analytics clients.

• Aid in the planning and staffing of data science projects.

• Support project managers by outlining tasks, estimates, and dependencies.

• Educate the data science team on best practices and emerging technology initiatives.

• Anticipate the effects of new technologies and frameworks, crafting compelling data science solutions.


⛳️ Requirements

• Understanding of how to apply data science techniques in operations to influence corporate financial performance.

• Familiarity with DevOps processes (CI/CD) as applied to data science and ML operations.

• Bachelor’s or Master’s Degree in Computer Science, Data Science, or Advanced Mathematics.

• 5-8+ years of experience with advanced data science methodologies, frameworks, libraries, and technologies.

• Proficiency in Python, SQL, C#, or other programming languages.

• Experience with LLMs, RAG, Vector Databases, Prompt Evaluation, and GenAI Solution Patterns.

• Knowledge of Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, BigQuery, Redshift, or Snowflake.

• Background in ELT/ETL/Pipeline Design, Data Modeling, Spark, and API Integration Patterns.

• 2+ years of experience managing data and AI engineering teams.

• An AI-first approach in software development, documentation, and architecture.


🏝️ Benefits

• Equal opportunity employer; employment decisions are based on qualifications, merit, and business needs.

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