AI ML Python Developer Intern

AI ML Python Developer Intern

We are seeking trainee AI/ML Engineers with expertise in Python to join our team. The ideal candidates will have zest in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :
• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Technical Skills :
• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :
• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :
• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :
• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.