Note: This is an ON-SITE job (not remote) .

Key Responsibilities:

• Design, develop, and maintain scalable Python applications.
• Build and integrate ML/AI models into production-ready environments.
• Work with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Collaborate with cross-functional teams to develop data pipelines and APIs for AI-based services.
• Train, evaluate, and fine-tune models for predictive analytics and automation tasks.
• Optimize performance and scalability of ML/AI systems.
• Debug, test, and document code to ensure reliability and maintainability.

What You’ll Need:

• Strong problem-solving and critical thinking skills.
• Ability to work with large datasets and implement data preprocessing techniques.
• Knowledge of algorithmic thinking and model evaluation metrics.
• Team-oriented mindset with excellent collaboration and communication skills.
• Curiosity to explore and experiment with new ML/AI approaches and tools.

Qualifications & Experience:

• 1–2 years of professional Python development experience, with exposure to ML/AI.
• Experience with ML frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn.
• Familiarity with data analysis, feature engineering, and model training.
• Proficiency in object-oriented programming, version control (Git), and database interaction.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (preferred).

Benefits:

• Competitive salary market standards.
• Hands-on experience with AI-powered projects and real-world applications.
• Collaborative work culture with mentorship and learning opportunities.
• Skill development in both software engineering and machine learning.
• Performance-based bonuses and career advancement potential.