Senior Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🏛️ Architect

👻 Ghost score 10%

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Logo of Redapt, Inc.

Redapt, Inc.

201 - 500 employees

Founded 1996

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Redapt, Inc. is an end-to-end technology solutions provider that helps organizations optimize their performance and reduce operational costs through expert guidance in areas such as Artificial Intelligence, Machine Learning, Cloud Adoption, Data Analytics, and Cybersecurity. With over 26 years of experience, Redapt partners with leading technology companies to deliver tailored solutions, supporting clients in application modernization, enterprise infrastructure, and multi-cloud operations. The company is committed to empowering businesses to overcome technological challenges and unlock growth through innovative technology integration.

📋 Description

• Grow the Data Science and Analytics practice through business development, resourcing, and quality delivery • Monitor business impact and value generation of analytics projects • Help create go-to-market strategies for advanced AI/ML services and hardware • Deliver customer demos showing how data can drive business goals • Create proposals and statements of work • Collaborate with sales and practice leaders to grow data science services • Manage full sales cycles for high-potential clients • Evaluate business impact and priority initiatives for managed analytics customers • Help plan and staff data science projects • Support project managers by developing tasks, estimates, and dependencies • Train the data science team on best practices and new technology initiatives • Anticipate the impact of new technologies and frameworks and create compelling data science offerings

🎯 Requirements

• Knowledge of how to use data science techniques in operations to impact corporate financials • Working knowledge of DevOps process (CI/CD) applied to data science and ML ops • Bachelor’s or Master’s Degree in Computer Science, Data Science, or Advanced Mathematics • 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies • Experience with Python, SQL, C#, or other programming languages • Experience with LLMs, RAG, Vector Databases, Prompt Evaluation, and GenAI Solution Patterns • Experience with Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, BigQuery, Redshift, or Snowflake • Experience with ELT/ETL/Pipeline Design, Data Modeling, Spark, and API Integration Patterns • 2+ years managing data and AI engineers • AI-first mentality in software development, documentation, and architecture

🏖️ Benefits

• Equal opportunity employer; employment decisions based on qualifications, merit, and business need

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