Senior Machine Learning and AI Architect

Senior Machine Learning / Data & AI Architect

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

Experience Level

Senior Level