Job Overview:
Our organization seeks an expert AI Architect to design and implement scalable, secure AI/ML infrastructure in cloud and on-premises environments.
Key Responsibilities:
* Design modular Generative AI solutions, including LLM-based APIs, embedding pipelines, vector search, and RAG architectures.
* Select appropriate AI/ML techniques based on business needs and use cases.
* Define AI architecture in alignment with the organization's data and product strategy.
* Collaborate with data engineers to design robust, secure, and high-quality data pipelines for AI use cases.
* Evaluate LLM deployment options based on latency, cost, compliance, and privacy.
* Develop an AI strategy and architectural roadmap aligned with business objectives.
* Stay ahead of emerging AI trends and evaluate new tools, frameworks, and platforms.
Requirements:
* 5+ years in AI/ML development with experience in architecting AI solutions.
* Proven track record of designing and deploying AI/ML models in production environments.
* Strong expertise in machine learning algorithms, deep learning, and statistical models.
* Proficiency with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
* Deep understanding with cloud AI/ML services (e.g., AWS SageMaker, Azure ML, GCP AI).
* Experience with data pipeline tools (e.g., Apache Kafka, Airflow) and containerization (Docker, Kubernetes).
Qualifications:
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* Ph.D. is a plus.
Essential Skills:
* Thought leadership.
* Strong problem-solving skills and ability to lead complex AI projects.
* Excellent communication and leadership skills.
Why Us?
* Opportunity to work with cutting-edge technologies.
* Chance to develop and implement innovative AI solutions.
* Collaborative environment with experienced professionals.