[Remote] Senior AI/ML Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is a technical reputed company specializing in UI, reputed company-End, and Full-Stack web technologies. They are seeking a Senior AI/ML Engineer to design, reputed company, and deploy AI/ML solutions for core pharmacy platforms, collaborating with various stakeholders to create scalable, AI-powered solutions.
Responsibilities
- Design, reputed company, and deploy AI/ML solutions to reputed company core pharmacy platforms, with a focus on scalability, reliability, performance, and reputed company
- reputed company 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 reputed company/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 reputed company with advancements in AI/ML frameworks, Generative AI, LLMs, and pharmacy technology modernization
Skills
- Experience in designing, developing, and deploying AI/ML solutions
- Strong understanding of scalability, reliability, performance, and reputed company in AI/ML applications
- Experience with Generative AI, LLMs, and agentic AI frameworks
- Ability to collaborate with business and technical stakeholders
- Experience in architecture and technical design of AI/ML pipelines
- Knowledge of model selection, data integration, and deployment patterns
- Ability to establish and maintain AI/ML engineering standards and best practices
- Experience conducting code reviews and mentoring engineers
- Ability to partner with cross-functional teams including data scientists and product managers
- Experience in translating legacy system modernization needs into scalable AI applications
- Ability to monitor and optimize AI/ML model performance and resource utilization
- Experience collaborating with DevOps and infrastructure teams for deployment and operations
- Staying reputed company with advancements in AI/ML frameworks and pharmacy technology modernization
Company Overview