We are looking for an experienced Machine Learning & AI Developer to build, deploy, and scale intelligent systems for real-world applications. The ideal candidate will:
- Develop predictive/prescriptive models using supervised and unsupervised learning.
- Apply deep learning for customer profiling, segmentation, and personalization.
- Fine-tune and implement LLMs and Generative AI solutions for automation.
- Collaborate with data engineers to build scalable ETL pipelines (preferably on GCP).
- Deploy models using MLOps best practices (MLflow, Kubeflow, Airflow).
- Work in Agile/DevOps teams, promoting a data-driven culture.
Qualifications:
- 10+ years in Data Science or ML.
- Proficient in Python, SQL, TensorFlow, PyTorch.
- Strong statistical and experimental design knowledge.
- Bachelor's or Master’s in CS, Math, Engineering, or related field.
- Cloud experience (AWS or GCP preferred).