Python Lead

Job Summary:

We are looking for a skilled Python Developer with a strong focus on artificial intelligence (AI) and machine learning (ML) to join our innovative team. In this role, you will design, develop, and implement ML models and algorithms that drive our data-driven solutions. You will collaborate closely with data scientists and engineers to process and analyze complex datasets, optimize model performance, and deploy AI solutions in production environments. The ideal candidate will have a solid foundation in Python programming, a passion for AI/ML technologies, and the ability to translate business requirements into technical solutions. Join us in leveraging cutting-edge technology to deliver impactful insights and drive our mission forward.

Key Responsibilities:

● Develop, test, and deploy machine learning models using Python.
● Collaborate with data scientists and engineers to design scalable algorithms.
● Implement data preprocessing and feature engineering techniques.
● Analyze large datasets to extract insights and drive decision-making.
● Optimize and tune models for performance and scalability.
● Document processes, models, and best practices for team collaboration.
● Participate in code reviews and contribute to team knowledge sharing.
Qualifications:

● Bachelor’s degree in Computer Science, Data Science, or a related field.
● Proven experience in Python programming, particularly with libraries such as NumPy, Pandas, and Scikit-learn.
● Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
● Strong understanding of algorithms, data structures, and statistical methods.
● Experience with data visualization tools like Matplotlib or Seaborn.
● Knowledge of database systems (SQL/NoSQL) and data manipulation.
● Excellent problem-solving skills and attention to detail.
● Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:

● Experience with natural language processing (NLP) or computer vision.
● Familiarity with cloud services (AWS, Azure, Google Cloud) for deploying models.
● Contributions to open-source projects or personal AI/ML projects.