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ChicMic Studios - Artificial Intelligence / Machine Learning Engineer
ChicMic StudiosPunjab30+ days ago
Job descriptionAdvanced 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. 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. 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. 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. Strong experience with data wrangling, transformation, joins, ranking, filtering, and preprocessing using Python / Pandas. Ability to handle large datasets and build efficient preprocessing workflows. 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. Python NumPy PyTorch Machine Learning Deep Learning REST API Development Agile Software Development API Development Generative AI Artificial Intelligence
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 :
Machine Learning & Deep Learning :
MLOps :
Software Engineering & DevOps :
Data Engineering & Problem Solving :
Nice-to-Have :
Core Skills & Proficiency :
(ref : hirist.tech)
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Artificial Engineer • Punjab