Senior Machine Learning / Data & AI Architect

Requirements

• 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

Additional Information

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

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Company Intel

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