Tech Stack
AWSAzureCloudJavaKerasPythonPyTorchTensorflow
About the role
- Develop and implement AI-powered solutions within our web application, ensuring seamless integration and high-quality performance.
- Collaborate with cross-functional teams to gather requirements and propose AI-based solutions that address business needs and drive innovation.
- Design and develop custom APIs to facilitate data exchange and communication between AI components and existing systems.
- Stay abreast of emerging AI technologies and industry trends to identify opportunities for enhancing the organization's AI capabilities.
- Evaluate the effectiveness of AI solutions, continuously refining and optimizing them to ensure optimal performance.
- Develop comprehensive documentation for AI solutions, including technical specifications, user guides, and training materials.
- Serve as an AI evangelist, promoting the understanding and adoption of AI technologies across the organization through presentations, workshops, and training sessions.
- Provide technical support and troubleshooting for AI implementations, ensuring the prompt resolution of issues and minimal disruption to users.
Requirements
- Bachelor’s degree in computer science, Engineering, or a related field. Advanced degrees are highly desirable.
- Minimum of 5 years of experience in software development, with a focus on web application development.
- Extensive experience with API design, development, and integration.
- Strong knowledge of AI technologies, including machine learning, natural language processing, and computer vision.
- Proficiency in programming languages such as Python, Java, or C++.
- Familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, or Keras.
- Experience with cloud computing platforms, such as AWS, Google Cloud, or Microsoft Azure.
- Experience in LMS and LLM
- Exceptional problem-solving and analytical skills
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and convey complex technical concepts to non-technical stakeholders.