AI Technology Leader

2 days ago


Karachi, Sindh, Pakistan Disrupt Ventures Full time

We're looking for a seasoned Senior Solutions Engineer - AI and ML to join our team at Disrupt Ventures. As a key member of our engineering team, you'll be responsible for designing and implementing scalable, secure, and reliable solutions for our AI-powered software applications.

About the Role

In this role, you'll work closely with our cross-functional teams to drive cloud migration, optimize system performance, and guide technical decision-making for AI-driven architectural design and strategy. You'll establish best practices for AI and tech startup development, providing mentorship on system architecture, microservices, and AI deployment strategies.

You'll develop and maintain AI-ready backend services using Python (Django, FastAPI) with a focus on AI-driven applications. You'll integrate AI models into web-based platforms, enabling real-time AI interactions and dynamic content generation. You'll architect and implement AI-focused microservices, RESTful APIs, and Service-Oriented Architectures (SOA) for startups.

You'll ensure seamless integration of machine learning models and AI services within distributed systems. You'll lead AI model deployment and cloud infrastructure setup on AWS (IAM, EC2, S3, Lambda, CloudFormation, VPC, SageMaker, Bedrock, etc.).

You'll oversee cloud-native AI development, serverless computing, and cost-efficient AI training workflows. You'll deploy and manage AI applications using Docker and Kubernetes, ensuring scalability and efficient resource utilization.

You'll automate AI model training, inference, and A/B testing environments for incubated startups. You'll enhance AI model serving performance, caching mechanisms, and WebSocket-based real-time AI interactions. You'll optimize vector databases, embedding-based search, and AI-driven recommendation engines.

You'll implement and refine CI/CD pipelines tailored for AI model versioning, monitoring, and iterative improvements. You'll facilitate MLOps best practices to streamline AI lifecycle management. You'll design AI solutions with a focus on data security, model robustness, and regulatory compliance (GDPR, AI ethics, etc.).

You'll ensure high availability and fault-tolerant AI architectures. You'll innovate with Very Large Language Models (VLLMs) & AI Research, guiding startups on leveraging VLLMs, fine-tuning LLMs, and integrating generative AI capabilities.

Requirements
  • 10 + years of experience as a Solution Architect, Technical Lead, or similar role.

You'll have strong expertise in Python backend development (Django, FastAPI, or equivalent). You'll have hands-on experience with AWS cloud services and cloud infrastructure. You'll have strong knowledge of Docker, Kubernetes, and DevOps practices.

You'll have experience with streaming data, WebSockets, and caching for performance optimization. You'll have expertise in CI/CD pipelines and automation using PowerShell, DevOps tools. You'll have understanding of microservices, RESTful APIs, and SOA.

(Nice to have) Experience with AI applications and VLLM deployment.


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