
AI Architect
3 days ago
Key Responsibilities :
- Define and drive the AI architecture strategy aligned with business goals and technology standards.
- Design end-to-end AI/ML solutions encompassing data ingestion, processing, modeling, deployment, and monitoring.
- Evaluate and select appropriate AI frameworks, tools, and cloud services to meet project requirements.
- Collaborate with data scientists, machine learning engineers, and software developers to integrate AI models into production systems.
- Develop reusable AI components and frameworks to accelerate development and deployment.
- Ensure AI solutions are scalable, secure, and maintainable, adhering to best practices and compliance standards.
- Lead proof-of-concept projects and pilot AI technologies to demonstrate feasibility and value.
- Guide the organization in adopting AI technologies and building AI capabilities through training and mentorship.
- Monitor emerging AI trends, tools, and research to continuously enhance AI capabilities.
- Work closely with IT and business teams to ensure seamless integration of AI solutions with existing infrastructure.
Required Qualifications :
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 7+ years of experience in software engineering, data science, or AI development.
- 3+ years of experience in AI/ML architecture or AI solution design.
- Strong expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with cloud AI services like AWS SageMaker, Google AI Platform, Azure ML, or others.
- Deep understanding of machine learning algorithms, natural language processing (NLP), computer vision, or other AI domains.
- Familiarity with big data technologies (Hadoop, Spark) and data engineering pipelines.
- Solid knowledge of software architecture principles, microservices, APIs, and containerization (Docker, Kubernetes).
- Strong problem-solving skills and ability to translate complex business needs into technical AI solutions.
- Excellent communication and leadership skills to work with cross-functional teams and stakeholders.
Preferred Qualifications :
- Advanced degree (Masters or PhD) in AI, Machine Learning, Data Science, or related discipline.
- Experience deploying AI solutions at scale in cloud or hybrid environments.
- Knowledge of AI ethics, fairness, and governance frameworks.
- Hands-on experience with automated machine learning (AutoML) and MLOps practices.
- Prior experience leading AI teams or managing AI projects
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