Senior Python AP/ML Engineer

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.