AI/ML Engineer
Core
Design, develop, and deploy machine learning models and pipelines for classification, regression, clustering, recommendations, or NLP tasks to power intelligent products.
Role type
AI/ML Engineer
Builds
Machine learning models and data pipelines
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, Scikit-learn, TensorFlow, PyTorch, XGBoost, data preprocessing, feature engineering, model evaluation, Git, Jupyter, pandas, NumPy, Matplotlib, Seaborn
Preferred skills
AWS, Azure, GCP, SageMaker, Vertex AI, GenAI prompting, LLM hosting, spaCy, Hugging Face Transformers, NLTK, MLOps tools (MLflow, DVC, Kubeflow), deep learning, REST APIs, Flask, FastAPI, Docker
Responsibilities
Design and deploy ML models for various tasks; clean and preprocess large datasets; develop scalable data pipelines; experiment with algorithms to improve performance; monitor and maintain production models; integrate models into applications; document processes and experiments.
Seniority
Mid-level (1–3 years experience)