Python AI/ML Developer

You are an experienced Python AI/ML Developer with a strong expertise in machine learning, data processing, and backend application development. Your role involves developing scalable AI/ML solutions, integrating models into production systems, and optimizing application performance. - Design, develop, and deploy AI/ML models using Python - Build machine learning solutions including classification, regression, and NLP models - Perform data cleaning, preprocessing, and transformation using Pandas and NumPy - Develop scalable backend services and APIs using FastAPI, Flask, or Django - Optimize machine learning algorithms for performance and accuracy - Work on model training, evaluation, tuning, and deployment - Integrate AI/ML models with enterprise applications and production environments - Write clean, reusable, and maintainable Python code following best practices - Collaborate with cross-functional teams for end-to-end solution delivery - Use Git and testing frameworks for version control and quality assurance Your qualifications should include: - Strong expertise in Python 3.x, OOP concepts, and data structures - Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn - Strong knowledge of Pandas, NumPy, and data manipulation techniques - Experience in REST API development and backend integration - Good understanding of AI/ML model lifecycle and deployment - Experience with FastAPI, Flask, or Django frameworks - Familiarity with Git, unit testing, and software engineering best practices - Strong analytical and problem-solving skills It is preferred if you have experience with: - Cloud platforms such as AWS, Azure, or GCP - Exposure to Docker, Kubernetes, and MLOps concepts - Knowledge of LLMs, Generative AI, or vector databases is a plus You are an experienced Python AI/ML Developer with a strong expertise in machine learning, data processing, and backend application development. Your role involves developing scalable AI/ML solutions, integrating models into production systems, and optimizing application performance. - Design, develop, and deploy AI/ML models using Python - Build machine learning solutions including classification, regression, and NLP models - Perform data cleaning, preprocessing, and transformation using Pandas and NumPy - Develop scalable backend services and APIs using FastAPI, Flask, or Django - Optimize machine learning algorithms for performance and accuracy - Work on model training, evaluation, tuning, and deployment - Integrate AI/ML models with enterprise applications and production environments - Write clean, reusable, and maintainable Python code following best practices - Collaborate with cross-functional teams for end-to-end solution delivery - Use Git and testing frameworks for version control and quality assurance Your qualifications should include: - Strong expertise in Python 3.x, OOP concepts, and data structures - Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn - Strong knowledge of Pandas, NumPy, and data manipulation techniques - Experience in REST API development and backend integration - Good understanding of AI/ML model lifecycle and deployment - Experience with FastAPI, Flask, or Django frameworks - Familiarity with Git, unit testing, and software engineering best practices - Strong analytical and problem-solving skills It is preferred if you have experience with: - Cloud platforms such as AWS, Azure, or GCP - Exposure to Docker, Kubernetes, and MLOps concepts - Knowledge of LLMs, Generative AI, or vector databases is a plus