AI Architect
2 weeks ago
Summary:
As an AI Architect, you will lead the design, development, and deployment of a scalable AI platform. You will work across MLOps, machine learning standardization, GPU and cloud infrastructure, data integrations, and presales activities, ensuring the reliability, efficiency, and scalability of AI solutions while supporting client engagements and solution proposals.
Responsibilities:
- Lead the design and development of a high-performance AI platform.
- Implement and optimize MLOps practices for model development, deployment, and monitoring.
- Establish best practices and standards for machine learning models.
- Set up and manage GPU and cloud platforms to support AI workloads.
- Design and implement robust data integration and ETL pipelines.
- Support presales activities, including technical solutioning, demonstrations, and client engagements.
- Collaborate with data scientists, software engineers, and platform teams to deliver AI solutions.
- Stay updated on AI/ML advancements and integrate innovative approaches.
- Mentor and guide junior engineers and team members.
Qualifications:
- 7–10 years of experience in AI and machine learning engineering.
- Expertise in ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow, Kubeflow), Ray framework, and cloud platforms (AWS, Azure) with infrastructure as code.
- Hands-on experience with GPU computing and AI workload optimization.
- Proficiency in programming languages such as Python, Java, or C++.
- Strong data engineering skills, including data integration, ETL, and handling large datasets.
- Excellent problem-solving, analytical, and communication skills.
- Experience in presales or technical client engagement is a plus.
- Location: Onsite (Lahore/ISB/KHI)
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