Technical leader for ML - powered Supply & Fleet Optimization Systems at Lime. Driving scalable, high - impact systems for fleet optimization and forecasting.
About the role
- AI/ML Engineer developing and deploying solutions for pharmacy technology at VXForward. Collaborating with cross-functional teams to enhance workflows and operational efficiency.
Responsibilities
- Design, develop, and deploy AI/ML solutions to modernize core pharmacy platforms, with a focus on scalability, reliability, performance, and security
- Leverage Generative AI, LLMs, and agentic AI frameworks to automate and enhance pharmacy workflows and decision-making processes
- Collaborate with business and technical stakeholders to understand pharmacy domain requirements and translate them into robust AI/ML-driven technical solutions
- Contribute to architecture and technical design of AI/ML pipelines, including model selection, data integration, and deployment patterns
- Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes
- Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML engineering practices
- Partner with cross-functional teams including data scientists, product managers, platform engineers, and pharmacy domain experts
- Translate legacy system modernization needs into scalable AI applications that enhance products, workflows, and operational efficiency
- Monitor and optimize AI/ML model performance, resource utilization, and platform reliability
- Collaborate with DevOps and infrastructure teams to ensure secure, scalable deployment and operations of AI/ML solutions
- Stay current with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization
Requirements
- 5+ years of experience as a software engineer or AI/ML engineer delivering cloud-based solutions
- 5+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud
- 5+ years of programming experience in Python, Golang, JavaScript, or Java
- 3+ years of hands-on experience with AI/ML frameworks, model development, and deployment
- 3+ years of hands-on experience with Generative AI, LLMs, and agentic AI solutions
- Experience building distributed systems and cloud-native AI/ML applications
- 1+ years of experience with security and compliance in cloud environments
- Strong problem-solving and analytical skills with the ability to propose innovative AI/ML solutions
- Excellent communication and collaboration skills across technical and non-technical teams
Benefits
- Exciting Projects
- Meaningful Impact
- Continuous Learning and Growth
- State-of-the-Art Technologies
- Collaborative Team Environment
- Work-Life Balance
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