Administers, maintains, develops and implements policies and procedures for ensuring the security and integrity of the company databases.
Implements data models and database designs, data access and table maintenance; resolves database performance issues, database capacity issues, replication, and other distributed data issues.
Job Description :
ESSENTIAL DUTIES AND RESPONSIBILITIES :
- Programming & Query Languages : Proficient in Python, and SQL for data analysis, modeling, and database management.
- Machine Learning & AI Models : Experience with classical ML (e.g., regression, decision trees, SVM), deep learning (CNNs, RNNs, Transformers), and advanced AI (GNNs, RL, GANs, LLMs like GPT-4, Claude, LLaMA).
- Natural Language & Vision AI : Skilled in NLP (NER, sentiment analysis, summarization) and computer vision (YOLO, ResNet, segmentation, OCR).
- Frameworks & Libraries : Hands-on with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, and Spark MLlib.
- Databricks Ecosystem : Proficient in Databricks Notebooks, MLflow, AutoML, Delta Lake, Unity Catalog, Feature Store, Model Serving, and Lakehouse AI.
- Data Engineering & Big Data : Experience with Apache Spark, Hadoop, Kafka, Airflow, dbt, and building scalable ETL pipelines.
- Cloud Platforms : Deploy and manage solutions on AWS (S3, SageMaker), Azure (ML, Synapse), and GCP (BigQuery, Vertex AI).
- Statistical Analysis & Experimentation : Apply A / B testing, hypothesis testing, Bayesian methods, and time series forecasting (ARIMA, Prophet, LSTM).
- Model Deployment & DevOps : Deploy models using Flask, FastAPI, Docker, Kubernetes, CI / CD pipelines, and integrate with APIs and Git for version :
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
- The requirements listed below are representative of the knowledge, skill, and / or ability required.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION AND / OR EXPERIENCE :
Bachelors Degree (B.) from four-year college or university.In-depth understanding of all aspects of database technology with minimum five years experience in database administration or equivalent job experience.Experience with UNIX, Linux, and Microsoft Windows operating systems.(ref : hirist.tech)