Data Science & Engineering Lead

We are seeking a Data Science & Engineering Lead to lead the charge in AI and data innovation. You will work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights.

Requirements

• Design and implement supervised and unsupervised ML models
• Lead model development for advanced architectures in neural networks
• Drive NLP advancements with tools like NLTK and neural-based language models
• Build and maintain scalable data pipelines for both streaming and batch processing
• Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures
• Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte
• Design and optimize database models for OLTP and OLAP systems
• Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch
• Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure
• Oversee MLOps pipelines for robust deployment of ML models in production
• Develop and optimize business intelligence dashboards with tools like Tableau, QuickSight, and PowerBI
• Implement GPU acceleration and CUDA for model training and optimization
• Mentor junior team members in cutting-edge AI/ML techniques and best practices

Benefits

• Competitive benefits