AI/Machine Learning Intern

We are looking for a talented and motivated AI / Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven solutions that solve complex business problems. You will work closely with cross-functional teams to understand requirements, build scalable algorithms, and integrate models into production environments.

Key Responsibilities

• Develop, train, and deploy machine learning models for various use cases.
• Collect, clean, and preprocess large datasets for model training.
• Build AI pipelines, including data ingestion, model training, evaluation, and monitoring.
• Perform research on the latest AI/ML trends, techniques, and tools to improve model performance.
• Implement deep learning models for NLP, computer vision, or predictive analytics as needed.
• Optimize model accuracy, performance, and scalability for production use.
• Collaborate with software engineers to integrate models into applications or cloud environments.
• Conduct A/B testing, model validation, and performance tuning.
• Document technical workflows, model details, and development processes.

Required Skills

• Strong knowledge of machine learning algorithms and statistical modeling.
• Experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Hands-on experience with data processing tools (Pandas, NumPy).
• Understanding of neural networks, deep learning, NLP, or computer vision.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Ability to deploy ML models using APIs, Docker, or MLOps tools (MLflow, Kubeflow).
• Strong problem-solving skills and mathematical background.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or related field.
• 1–5 years of relevant experience (or strong projects for freshers).
• Certifications in AI/ML are an advantage.

Preferred Attributes

• Passion for solving real-world problems using AI.
• Good communication and teamwork skills.
• Ability to work in a fast-paced and innovative environment.

Job Type: Full-time

Pay: $45, $65,385.23 per year

Benefits:

• 401(k)
• Health insurance
• Life insurance
• Referral program

Work Location: On the road