Associate AI Engineer

Employment Type

• Assist in the design and implementation of machine learning models for real-time or batch processing tasks
• Contribute to data preprocessing, feature engineering, and model evaluation
• Train, fine-tune, and validate neural networks and other learning algorithms
• Collaborate with the team to deploy and monitor AI models on various platforms, including edge and cloud environments.
• Write efficient and maintainable code in

  Python

  for model development and integration
• Participate in code reviews, experiment tracking, and documentation
• Stay up to date with advancements in the AI/ML field and evaluate their relevance to ongoing projects

• Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline
• Strong understanding of

  machine learning fundamentals

  such as supervised/unsupervised learning, bias-variance tradeoff, overfitting, and evaluation metrics
• Working knowledge of

  neural

  networks

  , including key concepts like layers, activations, loss functions, and optimization.
• Strong proficiency in

  Python

  , including experience with key data and ML libraries (e.g., NumPy, Pandas, scikit-learn, etc.)
• Familiarity with training workflows, including data splitting, hyperparameter tuning, and validation
• Experience working with data and building models through academic projects, internships, or personal initiatives
• Basic understanding of deploying models in production environments or on resource- constrained devices

• Exposure to different model types (e.g., classification, detection, segmentation, regression)
• Awareness of model optimization techniques and performance bottlenecks
• Understanding software development best practices (version control, testing, debugging)
• Familiarity with real-time and streaming data applications
• Familiarity with deep learning frameworks (e.g., PyTorch or TensorFlow)