Junior AI/ML Engineer

Key Responsibilities:

• Assist in designing and training ML models.
• Optimize model performance and scalability.
• Implement data pipelines for training and inference.
• Deploy models using cloud platforms or APIs.
• Collaborate with software engineers and data scientists.
• Monitor and maintain deployed models.

Required Skills:

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Understanding of model lifecycle and deployment.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Knowledge of REST APIs and containerization (Docker).
• Strong problem-solving and debugging skills.

Qualifications:

• Bachelors degree in Computer Science, AI, Machine Learning, or related field.
• Hands-on experience through projects or internships.

Tools & Technologies:

• Python, TensorFlow, PyTorch
• Docker, Kubernetes (basic)
• AWS/GCP/Azure
• ML Flow, FastAPI
• Git, CI/CD tools