Data Scientist - Machine Learning/Deep Learning
Description
Position: Data Scientist
Experience: 3 - 5 Years
Work Mode: WFO Hybrid 2 days in a week.
Job Location: Bangalore
Job Type: Full Time
About the job Requirements:
- Strong hands-on experience in Machine Learning and Deep Neural Networks, SQL (bigquery, PostgreSQL, mongodb, etc.)
- Good understanding of Transformers, Vector Indexing and databases, Bayesian Statistics, Time Series Deep Learning, Random Forest, GLM/GAM, XGBoost, Clustering, CNN, RNN, and GAN.
- Should know Python, NumPy, Pandas, scikit-learn, TensorFlow, Keras, NLTK, Seaborn, and Matplotlib.
- Orchestration tools like airflow, kubeflow or others.
- Containerization and MLOps.
- Experience using vector databases (milvus, qdrant, etc.)
- Experience on GCP.
- Vertex AI suite (Workbench, model registry, experiment tracking, and online predictions).
- Experience in recommendation systems is a must.
- Hands-on with rec algorithms: collaborative filtering, two-tower models, learning-to-rank.
- E-commerce or retail background (marketplace platforms a strong plus).
Soft Skills Required:
- Excellent communication skills.
- Team player and ability to work with different multicultural teams.
- Proactive attitude on identifying problems and providing solutions.
- Creative and innovative thinking
Skills
- AI
- Airflow
- BigQuery
- Containerization
- Deep Learning
- E-commerce
- GCP
- Keras
- Kubeflow
- Machine Learning
- Matplotlib
- Milvus
- MLOps
- MongoDB
- Neural Networks
- NumPy
- pandas
- PostgreSQL
- Python
- Qdrant
- Recommendation Systems
- scikit-learn
- Seaborn
- SQL
- Statistics
- TensorFlow
- Time Series
- Transformers
- Vector Databases
- Vertex AI
- XGBoost