ChicMic Studios - Artificial Intelligence/Machine Learning Engineer

Key Responsibilities :

- Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative AI tasks.

- Build and optimize data transformation workflows using Python, Pandas, and related libraries.

- Lead AI/ML pipelines from data ingestion to model deployment, monitoring, and retraining.

- Implement model observability and monitoring for drift detection and continuous evaluation.

- Develop and deploy REST APIs to integrate ML models with production systems using frameworks like FastAPI.

- Ensure high code quality through unit/integration testing and code reviews.

- Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers.

- Stay updated with the latest advancements in AI, ML, and GenAI frameworks and tools.

- Apply DevOps/MLOps practices to automate and manage the full ML lifecycle.

Required Skills :

Programming & Python Ecosystem :

- Advanced proficiency in Python with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.

- Strong understanding of asynchronous programming, concurrency, and FastAPI (Starlette).

- In-depth knowledge of multithreading, multiprocessing, and Python GIL.

- Ability to write clean, efficient, and testable code.

Machine Learning & Deep Learning :

- Strong grasp of traditional ML concepts : classification, regression, regularization (L1/L2), overfitting/underfitting, multicollinearity.

- Experience with deep learning architectures : RNNs, attention mechanisms, dropout, early stopping, GANs, diffusion models.

- Knowledge of transfer learning and pre-trained model fine-tuning.

MLOps :

- Hands-on experience in ML pipeline design including training, deployment, and monitoring.

- Proficiency in data drift and concept drift detection and mitigation.

- Familiarity with model observability tools, unstructured data drift monitoring, and automated drift alerts.

Software Engineering & DevOps :

- Strong expertise in REST API development, CI/CD pipelines, and integration testing.

- Experience with Docker and containerized deployments.

- Familiarity with cloud-based ML deployment (AWS, Azure) and logging/monitoring frameworks.

Data Engineering & Problem Solving :

- Strong experience with data wrangling, transformation, joins, ranking, filtering, and preprocessing using Python/Pandas.

- Ability to handle large datasets and build efficient preprocessing workflows.

Nice-to-Have :

- Experience in Generative AI and working with LLMs.

- Exposure to MLOps tools like MLflow, Kubeflow, or Airflow.

- Knowledge of transformer-based models, embeddings, and NLP pipelines.

- Prior contributions to open-source ML frameworks or GitHub repositories.

Core Skills & Proficiency :

- Python

- NumPy

- PyTorch

- Machine Learning

- Deep Learning

- REST API Development

- Agile Software Development

- API Development

- Generative AI

- Artificial Intelligence