Senior Python AI/ML Engineer
Job in
Tampa, Hillsborough County, Florida, 33646, USA
Listed on 2026-10-18
Listing for:
Veriipro
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, DevOps, Python
Job Description & How to Apply Below
- Design, develop, test, and deploy AI/ML and Generative AI solutions for enterprise applications.
- Build end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
- Develop RAG solutions and integrate large language models into enterprise systems.
- Build scalable Python applications, backend services, microservices, and RESTful APIs.
- Design data pipelines and integrate structured and unstructured data across enterprise platforms.
- Implement CI/CD pipelines, automated testing, and secure deployment workflows.
- Apply MLOps practices, including model versioning, experiment tracking, monitoring, drift detection, and retraining.
- Deploy cloud-native applications using AWS, Azure, or GCP, with Docker and Kubernetes.
- Collaborate with data engineering, platform, and business teams to ensure solution quality, security, scalability, and reliability.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
- 8–12 years of software engineering experience, including substantial hands-on Python development.
- Production experience developing and deploying AI/ML solutions.
- Strong understanding of machine learning algorithms, model evaluation, and MLOps principles.
- Experience building RESTful APIs, microservices, and enterprise integrations.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
- Experience with CI/CD pipelines, Dev Ops practices, Docker, Kubernetes, SQL, Git, and automated testing.
- Strong debugging, analytical, communication, and problem-solving skills.
- Experience with Generative AI, LLMs, RAG, prompt engineering, embeddings, and vector databases.
- Familiarity with Lang Chain, Llama Index, Semantic Kernel, scikit-learn, Tensor Flow, or PyTorch.
- Experience with Snowflake, Databricks, Spark, PySpark, MLflow, Kubeflow, or Airflow.
- Experience developing APIs using FastAPI or Flask.
- Knowledge of responsible AI, model governance, data privacy, and enterprise security requirements.
- Experience in financial services or other regulated enterprise environments.
Position Requirements
10+ Years
work experience
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