4+ years of hands-on experience building AI/ML solutions
Strong experience with Chatbots, conversational AI, and NLP-based solutions
4+ years of experience with Web and API development
4+ years of experience hosting applications in cloud environments, preferably AWS
Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
In the Senior AI/ML Engineer role, your responsibilities will include similar tasks with an emphasis on senior-level experience. Your qualifications should meet the following criteria:
Required Qualifications:
8+ years of software engineering experience
5+ years of hands-on experience building AI/ML solutions
Strong experience with Chatbots, conversational AI, and NLP-based solutions
5+ years of experience with Web and API development
5+ years of experience hosting applications in cloud environments, preferably AWS
Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Preferred Qualifications:
BS in Computer Science, Engineering, or related technical field (or equivalent experience)
Experience in the healthcare industry
Full-stack engineering experience Job Description:
As an AI/ML Engineer, you will be responsible for developing AI/ML solutions, including LLMs, Generative AI, and traditional ML models. Your key responsibilities will include:
Building AI/ML solutions with a minimum of 4 years of hands-on experience
Working on Chatbots, conversational AI, and NLP-based solutions
Developing Web and API applications with a minimum of 4 years of experience
Hosting applications in cloud environments, preferably AWS, with a minimum of 4 years of experience
Ensuring security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Qualifications Required:
6+ years of software engineering experience
4+ years of hands-on experience building AI/ML solutions
Strong experience with Chatbots, conversational AI, and NLP-based solutions
4+ years of experience with Web and API development
4+ years of experience hosting applications in cloud environments, preferably AWS
Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
In the Senior AI/ML Engineer role, your responsibilities will include similar tasks with an emphasis on senior-level experience. Your qualifications should meet the following criteria:
Required Qualifications:
8+ years of software engineering experience
5+ years of hands-on experience building AI/ML solutions
Strong experience with Chatbots, conversational AI, and NLP-based solutions
5+ years of experience with Web and API development
5+ years of experience hosting applications in cloud environments, preferably AWS
Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Preferred Qualifications:
BS in Computer Science, Engineering, or related technical field (or equivalent experience)
