Python Pandas Remote Jobs in Irvine, CA (NOW HIRING)

Job Overview:

Pay Range: $65.00hr - $70.00hr

Requirement/Must Have:

• Lead technical strategy for AI/LLM systems across multiple products.
• Proven expertise in Python and ML frameworks such as MLFlow, TensorFlow, PyTorch, and Scikit-learn.
• Strong background in statistical analysis, data exploration, and working with large-scale datasets.
• Experience with feature engineering, data preprocessing, and data management.
• 3+ years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
• Strong experience building and maintaining production-grade backend applications.
• Experience designing and developing RESTful APIs and distributed systems.
• Strong SQL skills and experience working with relational databases.
• Solid understanding of data engineering fundamentals, including data quality, validation, transformation, modeling, and efficient storage.
• Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS.
• Experience using Docker, Git, CI/CD pipelines, automated testing frameworks, and modern software engineering best practices.
• Proficiency in Python, REST API, Pandas, and NumPy.
• Experience with AWS Services, GCP, Kubernetes, and Bedrock.
• Experience with event-driven architectures, including Kafka.
• Experience with orchestration frameworks such as LangGraph, LangChain, and AirFlow.
• Experience with Vector Databases like Qdrant.

Responsibilities:

• Lead technical strategy for AI/LLM systems across multiple products.
• Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production.
• Set the standards for AI safety, evaluation, observability, and responsible rollout in a regulated context.
• Mentor junior-level engineers into strong AI engineers.
• Employ AI Native development skills to multiply productivity using tools like Claude.
• Evaluate new models, techniques, and tools to implement within the team.
• Design, develop, and maintain scalable Python applications and backend services.
• Build systems that ingest, validate, transform, and manage structured and unstructured data in production environments.
• Design data models and storage solutions that support scalable, high-performance applications.
• Develop reusable components for data processing, validation, enrichment, and feature generation.

Nice to Have:

• Experience with Kubernetes and container orchestration.
• Familiarity with event-driven architectures and messaging platforms such as Kafka.
• Familiarity with ML model deployment and inference pipelines.

Skills:

• AIML.
• Python.
• MLFlow.
• TensorFlow.
• PyTorch.
• Scikit-learn.
• RESTful APIs.
• SQL.
• AWS.
• GCP.
• Docker.
• Kubernetes.
• Kafka.
• LangChain.
• Vector Databases.

Qualification And Education:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems.