Job Overview:
We are seeking a highly skilled AI Developer with strong backend experience to join our innovative team. As an AI / Backend Developer, you will be responsible for designing, developing, and implementing machine learning models, natural language processing systems, and other AI-driven solutions.
Key Responsibilities:
* Backend Development: Design, build, and maintain scalable backend services and APIs. Support integration of various cloud based services.
* Model Development: Leverage open-source AI model to set up proprietary hosted AI service
* Data Management: Collect, preprocess, and analyze large datasets to train and validate AI models, ensuring data quality and integrity.
* Algorithm Implementation: Develop and implement algorithms that address business needs, leveraging state-of-the-art techniques in deep learning, reinforcement learning, and other AI methodologies.
* Integration: Collaborate with software engineers to integrate AI models into existing applications and systems, ensuring scalability and performance.
* Testing & Validation: Conduct thorough testing and validation of AI models, using both simulation environments and real-world data to ensure robustness and accuracy.
* Continuous Improvement: Stay updated on the latest advancements in AI technologies and frameworks, and continuously improve models and processes to maintain a competitive edge.
* Cross-functional Collaboration: Work closely with cross-functional teams, including data science, product management, and engineering, to understand business needs and deliver AI solutions that meet those needs.
Qualifications:
* Experience:
o 2+ years of experience in building and maintaining API endpoints
o 2+ years of experience in AI/ML development.
o Proven experience with machine learning frameworks and libraries
o Strong background in programming languages such as Python, C#, or Java.
o Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for AI model deployment.
* Skills:
o Deep understanding of machine learning algorithms and principles.
o Proficiency in data preprocessing, feature engineering, and model evaluation.
o Excellent problem-solving skills and the ability to work on complex, multi-disciplinary projects.
o Strong communication skills, with the ability to explain AI concepts to non-technical stakeholders.
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