Senior Python AP/ML Engineer
Expert In Recruitment Solutions · Tampa, FL · Hybrid
Strong hiring record · median 10 days open
All reasons
In its favour
- Still listed on the employer's own board
Senior Python AP/ML Engineer
Hybrid – 3 Days onsite
Tampa, FL / Dallas, TX (Hybrid)
6 months CTH
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent professional experience.
- 8-12 years of software engineering experience, including substantial hands-on Python development.
- Production experience designing, deploying, and supporting AI/ML solutions.
- Strong understanding of machine learning algorithms, model lifecycle management, and MLOps principles.
- Experience developing RESTful APIs, microservices, and system integrations.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
- Demonstrated experience creating and maintaining CI/CD pipelines and applying DevOps practices.
- Experience with Docker, Kubernetes, SQL, Git, automated testing, debugging, and production support.
- Strong analytical, communication, stakeholder-management, and problem-solving skills.
Preferred Qualifications
- Experience with Generative AI, large language models, prompt engineering, RAG, embeddings, and vector databases.
- Hands-on knowledge of frameworks such as LangChain, LlamaIndex, Semantic Kernel, scikit-learn, TensorFlow, or PyTorch.
- Experience with Snowflake, Databricks, Spark, PySpark, MLflow, Kubeflow, or Airflow.
- Experience building cloud-native applications using FastAPI or Flask.
- Experience in financial services, audit, risk, compliance, or another highly regulated enterprise environment.
- Knowledge of responsible AI, model governance, data privacy, security, and enterprise control requirements.
Skills
- Python
- Machine Learning
- MLOps
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- SQL
- Git
- Generative AI
- LLM
- Prompt Engineering
- Retrieval-Augmented Generation
- Embeddings
- Vector Databases
- LangChain
- LlamaIndex
- Semantic Kernel
- scikit-learn
- TensorFlow
- PyTorch
- Snowflake
- Databricks
- Spark
- PySpark
- MLflow
- Kubeflow
- Airflow
- FastAPI
- Flask
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