Architect and design scalable ML, data, and AI solutions aligned with business goals
Lead development and deployment of machine learning models and AI systems
Develop and optimize solutions using Python and advanced statistical techniques
Design and implement synthetic data generation frameworks for testing and modeling
Build and manage data pipelines and storage solutions using PostgreSQL
Implement and optimize vector databases such as Qdrant for AI/LLM use cases
Collaborate with cross-functional teams including engineering, product, and business stakeholders
Provide technical leadership, mentorship, and guidance to data science and engineering teams
Ensure best practices in MLOps, data governance, scalability, and security
Drive project delivery, timelines, and quality standards
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field
8+ years of experience in data science, machine learning, or AI engineering
Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Expertise in statistical modeling and data analysis
Hands-on experience with synthetic data generation techniques
Strong experience with PostgreSQL or similar relational databases
Experience with vector databases such as Qdrant or similar technologies
Proven experience in solution architecture and system design
Demonstrated experience leading teams and delivering large-scale projects
Excellent verbal and written communication skills in English, with the ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders
