Senior Python AI/ML Engineer — Gen AI, MLOps & Cloud

Veriipro; Tampa (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Veriipro is seeking an experienced AI/ML Engineer to design, build, and deploy enterprise AI solutions. You'll develop end-to-end ML pipelines, integrate RAG and LLMs, and deliver scalable Python applications and RESTful services.

You'll work across data engineering, platform, and business teams to ensure secure, reliable deployments on cloud platforms (AWS/Azure/GCP) using Docker and Kubernetes, while applying MLOps practices and robust testing.

Qualifications

• Bachelor's or master's in CS/engineering/data science or equivalent experience.
• 8–12 years of software engineering experience with hands-on Python.
• Production experience developing and deploying AI/ML solutions.
• Strong ML algorithms, evaluation, and MLOps knowledge.
• Experience building RESTful APIs and enterprise integrations.
• Hands-on with at least one cloud platform: AWS, Azure, or GCP.
• Experience with CI/CD, Docker, Kubernetes, SQL, Git, and automated testing.
• Strong debugging, analytical, and communication skills.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions for enterprise apps.
• Build end-to-end ML pipelines: ingestion, feature engineering, training, evaluation, deployment, monitoring.
• Develop RAG solutions and integrate LLMs into enterprise systems.
• Build scalable Python apps, backend services, microservices, and RESTful APIs.
• Design data pipelines and integrate structured and unstructured data across platforms.
• Implement CI/CD pipelines, automated testing, and secure deployment workflows.
• Apply MLOps: model versioning, experiments, monitoring, drift detection, retraining.
• Deploy cloud-native apps using AWS, Azure, or GCP, with Docker and Kubernetes.
• Collaborate with data engineering, platform, and business teams for quality and reliability.

Skills

Python development

RESTful APIs

MLOps

Cloud platforms

CI/CD pipelines

Docker

Kubernetes

Data pipelines

Model evaluation

Debugging

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Snowflake

Databricks

Spark

PySpark

MLflow

Kubeflow

Airflow

FastAPI

Flask

SQL

Git

scikit-learn

TensorFlow

PyTorch

LangChain

LlamaIndex

Job description

Veriipro is seeking an experienced AI/ML Engineer to design, build, and deploy enterprise AI solutions. You'll develop end-to-end ML pipelines, integrate RAG and LLMs, and deliver scalable Python applications and RESTful services.

You'll work across data engineering, platform, and business teams to ensure secure, reliable deployments on cloud platforms (AWS/Azure/GCP) using Docker and Kubernetes, while applying MLOps practices and robust testing.