Senior - Consultant

Emids Technologies Limited · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 12:36 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: RR/952/2026

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Collected role description

Company Overview: Emids is a leading provider of technology solutions and services for the healthcare industry, dedicated to transforming healthcare through innovative technology and data-driven insights. We empower organizations to leverage digital solutions to enhance patient care and improve operational efficiency. Summary of the Role: We are seeking a skilled AI Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning. This role will involve developing advanced algorithms and models that enhance our healthcare technology offerings while collaborating with cross-functional teams to drive AI initiatives. Key Responsibilities: Design and implement AI algorithms and models to address specific healthcare challenges. Collaborate with data scientists and software engineers to integrate AI solutions into existing products. Analyze complex data sets to derive meaningful insights and drive decision-making. Conduct research on emerging AI technologies and trends. Participate in code reviews and ensure high-quality coding standards. Optimize and fine-tune AI models to improve performance and accuracy. Document project workflows and provide updates to stakeholders. Assist in troubleshooting and debugging AI-related issues. Mentor junior engineers and provide guidance on best practices. Stay updated with industry advancements to propose innovative solutions. Required Qualifications: Must-Have: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. Proficiency in programming languages such as Python, Java, or R. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of algorithms, data structures, and mathematical foundations of AI. Proven experience in developing predictive models and AI solutions. Excellent problem-solving skills and the ability to work in a team environment. Nice-to-Have: Experience in the healthcare domain or related industries. Familiarity with cloud services (e.g., AWS, Azure, Google Cloud). Knowledge of natural language processing (NLP) techniques. Experience with big data technologies (e.g., Hadoop, Spark). Compensation and Benefits: Competitive salary based on experience. Health insurance and wellness programs. Retirement savings plan with company matching. Flexible work hours and remote work options. Professional development opportunities. Paid time off and holidays. Additional Information: Department: Engineering Reporting to: Head of AI Solutions Openings: 1

Collected experience requirement

0-1 years