AI System Architectural Lead
1 week ago
Senior AI Engineer Position
We are seeking an experienced Senior AI Engineer to join our team at iGate Technologies Pakistan. As a key member of our engineering department, you will play a critical role in developing and implementing cutting-edge AI solutions that support our inventory management platform.
Key Responsibilities:
- AI System Architecture: Design, develop, and maintain the architecture of AI systems integrated into our predictive inventory planning platform. This involves overseeing the entire lifecycle of AI system development, from design and implementation to deployment and maintenance.
- Cloud Deployment: Lead the deployment of AI models and algorithms on cloud platforms, primarily Azure, ensuring efficient, secure, and scalable systems. Your expertise in cloud computing will enable you to streamline the deployment process and ensure seamless integration with our existing infrastructure.
- API Development and Integration: Develop and optimize APIs to integrate AI models into Xdemand's inventory planning tools, ensuring smooth communication between software components. Your proficiency in API development will be crucial in creating robust and scalable APIs that meet the needs of our clients.
- Data Pipeline Management: Build and manage scalable data pipelines that facilitate seamless data ingestion, processing, and integration for model training and inference. Your experience in pipeline management will enable you to design and implement efficient data pipelines that reduce latency and improve overall system performance.
- Automation & Scalability: Develop automated processes for model retraining, updates, and deployment in a high-availability production environment. Your ability to automate repetitive tasks will help reduce manual errors and increase productivity.
- SaaS Platform Enhancement: Integrate AI-powered features into our SaaS platform, contributing to new functionalities that provide clients with actionable insights on inventory management and demand forecasting. Your expertise in AI/ML will be essential in creating innovative solutions that meet the evolving needs of our clients.
- Cross-functional Collaboration: Work alongside software engineers, product managers, and operations teams to ensure alignment between AI capabilities and business needs. Your strong communication skills will facilitate effective collaboration and ensure that all stakeholders are informed and aligned.
- Continuous Improvement: Stay ahead of the curve by monitoring the latest developments in AI, cloud computing, and machine learning, and apply new knowledge to enhance our solutions. Your commitment to ongoing learning and professional development will ensure that our team remains at the forefront of innovation.
Requirements:
- Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- Professional Experience: At least 5+ years of experience in AI engineering with a focus on cloud deployment, automation, and API development.
- Programming & Technical Skills:
- Expertise in Python and hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong proficiency in cloud platforms, particularly Azure, for deploying and scaling AI services.
- Solid experience in developing APIs using RESTful or GraphQL services.
- Experience with infrastructure-as-code tools (Terraform, Kubernetes) and automation frameworks.
- Pipeline Management: Strong knowledge of building and managing scalable data pipelines using tools such as Apache Airflow, Kafka, or AWS Glue.
- SaaS & API Expertise: Experience in developing and integrating APIs within SaaS applications, emphasizing system reliability, performance, and security.
- Problem-Solving Skills: Ability to troubleshoot complex systems and optimize performance in production environments.
- Communication Skills: Strong communication skills, with the ability to explain technical challenges and solutions to non-technical stakeholders.
Benefits:
- Competitive Salary: An attractive compensation package, including performance-based bonuses.
- Flexible Work Arrangements: Options for remote work and flexible hours to support work-life balance.
- Professional Development: Opportunities for continuous learning, including conference sponsorships and access to exclusive educational resources.
- Comprehensive Health Coverage: Health, dental, and vision insurance, along with wellness programs.
- Career Growth: A chance to make a tangible impact in a fast-growing company at the forefront of predictive inventory management.
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