AI & Data Solutions Architect at ГЕТ ЭКСПЕРТС РЕКРУТМЕНТ — NeverHard
AI & Data Solutions Architect at ГЕТ ЭКСПЕРТС РЕКРУТМЕНТ in Алматы. Skills: AI Architecture, Airflow, CI/CD, Data Architecture, Docker. Apply on NeverHard.
Company
ГЕТ ЭКСПЕРТС РЕКРУТМЕНТ
Location
Алматы
Type
full_time
Required skills:
AI Architecture
Airflow
CI/CD
Data Architecture
Docker
Generative AI
Kubernetes
MLflow
Mentorship
Predictive Modeling
Key Responsibilities • Develop and implement architectural approaches, reference designs, and modular components to support the scalable growth of AI & Data products. • Build predictive solutions such as forecasting models, optimization algorithms, and recommendation engines, as well as generative AI tools including content generation, conversational systems, and automation solutions. • Provide technical guidance and mentorship to AI teams, ensuring strong architectural decision-making. • Oversee smooth integration of AI and Data solutions with existing platforms, APIs, and data governance frameworks. • Drive the transition of R&D developments into production environments, leveraging CI/CD pipelines and automated testing practices. • Assess emerging AI technologies and tools, and coordinate their adoption together with external partners and vendors. • Define development standards, lead technical reviews, and perform architectural assessments for high-impact initiatives. • Collaborate with business stakeholders to identify AI opportunities and evaluate potential business value. Requirements • 5+ years of experience in AI or Data architecture. • Strong understanding of enterprise architecture principles, data governance, and information security standards. • Hands-on experience with distributed system design, CI/CD workflows, and containerization (Docker, Kubernetes). • Proficiency in Python, ML/DL frameworks (TensorFlow, PyTorch), and orchestration tools (Airflow, MLflow, Kubeflow). • Proven ability to work collaboratively with Data Science, engineering, and business teams. • Professional proficiency in English. Preferred Qualifications • Experience developing AI platforms or establishing AI Centers of Excellence. • Relevant architecture certifications (AWS, Azure, GCP, TOGAF). • Strong systems-thinking capabilities and technical leadership skills. • Experience deploying both predictive and generative AI solutions at scale. • Demonstrated success in creating AI products with measurable business outcomes. We are open to candidates from any country, as this position includes relocation.