Python AI Engineer (5+ Years Experience)

Overview

Drive AI initiatives from experimentation to production with a strong emphasis on model reliability and performance.

Roles & Responsibilities

• •Clear understanding of Python & Web frameworks (Flask, Django, FastAPI, etc.)
• •Design, train, evaluate, and iterate on ML models (classical and deep learning)
• •Build data pipelines and feature stores for robust offline/online workflows
• •Deploy models to production (batch/real-time) and monitor drift and performance
• •Instrument experiments; maintain reproducibility and experiment tracking
• •Collaborate with data engineering and product to translate requirements into solutions
• •Implement model governance, testing, and rollback strategies

Minimum Qualifications

• •5+ years with Python and ML frameworks (TensorFlow/PyTorch, FastAPI, etc.)
• •Strong understanding of statistics, probability, and algorithms
• •Experience with data processing frameworks (Pandas, Spark, or Dask)
• •Proficiency in building and optimizing training/evaluation pipelines
• •Experience deploying models as services or batch jobs

Preferred Qualifications

• •Experience with TensorFlow Serving, TorchServe, or ONNX Runtime
• •ML Ops tooling (Weights & Biases, MLflow, Kubeflow, Airflow)
• •Vector databases and retrieval (FAISS, Milvus)
• •LLM fine-tuning, RAG architectures, and prompt engineering
• •GPU optimization and quantization techniques

Job Perks

• •Benefits and performance bonuses
• •Mentorship and dedicated learning budget
• •Conference and publication support
• •Access to compute resources (GPUs) and experimentation platforms
• •Quarterly research/innovation days

Skills