Senior Machine Learning / Data & AI Architect1
Key Responsibilities
- 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
Required Qualifications
- 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
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of LLMs, generative AI, and RAG architectures
- Experience with data engineering tools (Spark, Airflow, etc.)
- Familiarity with DevOps/MLOps practices and CI/CD pipelines
Leadership & Soft Skills
- Strong team leadership and mentoring skills
- Excellent communication and stakeholder management
- Ability to drive projects from concept to delivery
- Strategic thinking and problem-solving mindset
