Python Developer

Description:

We are seeking an experienced Python Developer with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team in Faisalabad. This full-time, onsite position requires a professional who is proficient in English and can seamlessly integrate into our fast-paced and innovative environment.

Key Responsibilities:

● Design, develop, and implement cutting-edge AI and ML algorithms to solve complex problems and enhance our products and services.

● Utilize your expertise in Python to write clean, efficient, and maintainable code that supports our AI and ML initiatives.

● Collect, preprocess, and analyze large datasets to train and validate AI/ML models, ensuring high performance and accuracy.

● Train, fine-tune, and optimize AI/ML models using various frameworks and libraries to meet project requirements.

● Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI/ML solutions with business objectives. Communicate complex technical concepts effectively in English.

● Keep abreast of the latest advancements in AI/ML technologies and methodologies, and integrate new techniques into ongoing projects.

Qualifications:

● Minimum of 3 years of proven experience as a Python Developer with a focus on AI and ML.

● Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

● Proficiency in Python programming.

● Strong understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).

● Experience with data processing libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).

● Familiarity with cloud platforms (e.g., AWS, Google Cloud) and version control systems (e.g., Git).

● Excellent command of English, both written and verbal, is essential.

● Strong analytical and problem-solving skills, with the ability to think critically and creatively.

● Ability to work collaboratively in a team environment and contribute to a positive workplace culture.