Python AI Engineer

Python Developer with strong experience in Artificial Intelligence and Machine Learning

Responsibilities

• Design and implement

  AI and machine learning models

  using Python frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Develop and maintain

  data pipelines

  for model training and evaluation.
• Work with

  large datasets

  to perform data cleaning, preprocessing, and feature engineering.
• Integrate trained models into

  production environments

  using REST APIs, Flask, FastAPI, or other frameworks.
• Collaborate with

  data scientists

  ,

  data engineers

  , and

  software developers

  to deliver end-to-end AI solutions.
• Optimize models for

  accuracy, speed, and scalability

  .
• Conduct

  research

  on emerging AI technologies and contribute to proof-of-concept projects.
• Use

  version control (Git)

  and follow

  Agile

  development practices.

Required Skills

• Programming:

  Strong proficiency in Python (NumPy, Pandas, Matplotlib, etc.)

• AI/ML Frameworks:

  TensorFlow, Keras, PyTorch, or scikit-learn

• Data Handling:

  SQL, NoSQL, or data lake experience

• APIs & Deployment:

  Flask, FastAPI, Docker, or AWS/GCP/Azure AI services

• Math & Algorithms:

  Good understanding of linear algebra, probability, and optimization techniques

• Version Control:

  Git / GitHub / GitLab

Preferred Skills (Nice to Have)

• Experience with

  LLMs (Large Language Models)

  or

  Generative AI (OpenAI, Hugging Face, etc.)

• Knowledge of

  MLOps tools

  (Kubeflow, MLflow, Airflow)
• Background in

  Natural Language Processing (NLP)

  or

  Computer Vision

• Familiarity with

  cloud services

  (AWS SageMaker, Google Vertex AI, Azure ML)
• Strong problem-solving and communication skills