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Full Stack Data Engineer – AI/ML Focus
Las Vegas, NVPosition Title: Full Stack Data Engineer – AI/ML Focus
Location: Las Vegas, NV (Onsite Required)
Type: Direct Hire
Overview:
Fusion HCR is actively recruiting a Full Stack Data Engineer with a strong focus on AI/ML integration to support advanced analytics and data science initiatives. This role is onsite in Las Vegas and ideal for local engineers experienced with Pandas AI, OpenAI tools, and scalable data systems. You will lead efforts in designing, deploying, and optimizing intelligent data pipelines that power AI/ML models and enterprise reporting.
Key Responsibilities:
Qualifications:
Preferred Characteristics:
Location: Las Vegas, NV (Onsite Required)
Type: Direct Hire
Overview:
Fusion HCR is actively recruiting a Full Stack Data Engineer with a strong focus on AI/ML integration to support advanced analytics and data science initiatives. This role is onsite in Las Vegas and ideal for local engineers experienced with Pandas AI, OpenAI tools, and scalable data systems. You will lead efforts in designing, deploying, and optimizing intelligent data pipelines that power AI/ML models and enterprise reporting.
- Design and implement scalable batch and real-time data pipelines optimized for machine learning workflows.
- Integrate and operationalize AI/ML models using tools such as Pandas AI, OpenAI, or similar libraries.
- Build robust ETL and orchestration frameworks using Azure Data Factory, Databricks, and Apache Spark.
- Support data scientists by developing AI-ready data environments and automating data transformation logic.
- Contribute to building an AI/ML platform by integrating third-party APIs, vector databases, and retrieval-augmented generation (RAG) patterns where applicable.
- Collaborate cross-functionally with data scientists, business analysts, and engineering teams to deliver end-to-end solutions.
- Transition from legacy ETL tools (e.g., Talend, Click) to cloud-native and ML-enhanced pipelines.
- Implement CI/CD processes using GitHub Actions, Jenkins, and Terraform to deploy data and AI services.
- Apply best practices in data security, governance, and compliance within cloud environments.
- Bachelor's degree in Computer Science, Data Engineering, or a related field; Master’s preferred.
- 5+ years of experience as a Data Engineer, with strong exposure to AI/ML pipelines.
- Demonstrated experience using Pandas AI, or similar AI/ML libraries within the Python ecosystem.
- Proficiency in Python and SQL, and experience building data pipelines that support AI models.
- Hands-on experience with Azure (preferred) or other cloud platforms (AWS, GCP).
- Familiarity with OpenAI, LangChain, HuggingFace, or similar LLM-focused tools is a plus.
- Strong understanding of big data technologies such as Spark, Kafka, EventHub, Delta Lake, and real-time processing tools.
- Experience with data modeling, data warehousing, and implementing REST APIs.
- Working knowledge of DevOps practices, CI/CD pipelines, and infrastructure-as-code.
- Familiarity with data governance platforms such as Collibra or Purview is desirable.
- Local to Las Vegas, NV and open to a 100% onsite role.
- Passionate about AI-driven solutions and staying current with emerging technologies in the AI/ML ecosystem.
- Able to operate independently and spin up full-stack solutions from scratch in a collaborative team environment.