AI/ML Engineer
InfoTech Group
Date: 7 hours ago
City: Lahore
Contract type: Full time
About The Role
Infotech is looking for a AI/ML Engineer to build advanced AI capabilities into our existing software products. You'll design and ship AI-powered features, including agentic AI systems, working across both on-premises infrastructure and Microsoft Azure.
Responsibilities
4+ years of hands-on experience building and deploying AI/ML systems in production
Strong Python Skills And Experience With Modern ML/LLM Frameworks
Practical experience with large language models, including prompting, retrieval augmented generation, fine-tuning, or agentic workflows
Comfortable working across both on-premises infrastructure and Azure cloud
Strong communication skills, with the ability to explain technical trade-offs to engineers and business stakeholders alike
Solid understanding of ML evaluation practices and production monitoring Experience with containerization and orchestration tools for running services across on-prem and cloud environments
Experience building and maintaining production APIs or services
Experience with vector databases or retrieval systems
Familiarity with version control and collaborative engineering practices (code review, testing)
Exposure to distributed or large-scale compute environments
Experience working with open-source LLM models
Nice to have
Experience In Fintech Or Other Regulated Industries
Experience fine-tuning open-weight/open-source models
Exposure to LLM observability or evaluation practices
Infotech is looking for a AI/ML Engineer to build advanced AI capabilities into our existing software products. You'll design and ship AI-powered features, including agentic AI systems, working across both on-premises infrastructure and Microsoft Azure.
Responsibilities
- Design and build AI-powered features that let users interact with product data in natural language, embedded into our existing software products
- Design and deploy agentic AI systems that can plan, use tools, and carry out multi-step tasks within our products
- Take models from prototype to production across both on-premises and Azure environments
- Own the full ML lifecycle: data preparation, model selection/fine-tuning, evaluation, deployment, and monitoring
- Work closely with the infrastructure and engineering teams to integrate AI features into live products
- Build systems that are secure, auditable, and meet enterprise compliance expectations
4+ years of hands-on experience building and deploying AI/ML systems in production
Strong Python Skills And Experience With Modern ML/LLM Frameworks
Practical experience with large language models, including prompting, retrieval augmented generation, fine-tuning, or agentic workflows
Comfortable working across both on-premises infrastructure and Azure cloud
Strong communication skills, with the ability to explain technical trade-offs to engineers and business stakeholders alike
Solid understanding of ML evaluation practices and production monitoring Experience with containerization and orchestration tools for running services across on-prem and cloud environments
Experience building and maintaining production APIs or services
Experience with vector databases or retrieval systems
Familiarity with version control and collaborative engineering practices (code review, testing)
Exposure to distributed or large-scale compute environments
Experience working with open-source LLM models
Nice to have
Experience In Fintech Or Other Regulated Industries
Experience fine-tuning open-weight/open-source models
Exposure to LLM observability or evaluation practices
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