Note: The job is a remote job and is open to candidates in USA. Akraya, Inc. is seeking a Staff Data Engineer, Full Stack to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights. The role combines data engineering and data science responsibilities, including developing pipelines and analytical datasets, deploying machine learning models, optimizing generative AI applications, and enabling customer analytics solutions.
Responsibilities
- Design, develop, and maintain scalable data architectures and analytical datasets for reporting, business intelligence, and machine learning
- Build and optimize batch and real-time data pipelines using cloud-native technologies
- Develop, deploy, and monitor machine learning models for customer analytics, churn prediction, marketing attribution, and business optimization
- Design feature engineering pipelines and support end-to-end AI/ML model lifecycle from development through production
- Implement AI-powered solutions and optimize Generative AI/LLM-based applications and AI agents
- Partner with Product, GTM, Customer Success, Finance, and Engineering teams to translate business challenges into data-driven solutions
- Develop dashboards and visualizations using Tableau, Looker, or similar BI tools
- Perform code reviews, improve engineering best practices, and support scalable, secure cloud-based data platforms
Skills
- * 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering
- * Expert-level programming skills in **Python** and advanced **SQL**
- * Strong experience designing and maintaining scalable **data pipelines** for analytics and machine learning
- * Experience implementing **Big Data** solutions for batch and real-time processing
- * Hands-on experience with **Google Cloud Platform (GCP)**, including **BigQuery** and **Vertex AI**
- * Experience building optimized analytical datasets for reporting, feature engineering, and business intelligence
- * Experience developing dashboards using **Tableau, Looker**, or similar visualization platforms
- * Strong knowledge of cloud data architecture, ETL/ELT frameworks, and data modeling
- * Excellent analytical, problem-solving, and stakeholder communication skills
- * MS or PhD in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field
- * Proven experience delivering end-to-end AI/ML solutions in cloud environments
- * Experience working in Agile environments with modern software engineering and DevOps practices
- * Strong ability to lead technical initiatives, work independently, and drive projects from concept through production deployment
- * Experience with **Generative AI**, **LLMs**, **LangChain**, **LlamaIndex**, or **Hugging Face** frameworks
- * Experience evaluating and optimizing AI agents and conversational AI systems
- * Knowledge of causal inference, time-series forecasting, and advanced statistical modeling
- * Experience implementing data security, governance, and role-based access controls
- * Background in Customer Analytics, Customer Success, Marketing Analytics, or Professional Services
- * Experience with streaming technologies and modern data orchestration frameworks
Benefits
- Remote (Anywhere in the U.S.)
- W2 employment
Company Overview
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