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About the role
Responsibilities: AI/ML Framework Implementation: Evaluate, implement, and deploy state-of-the-art AI/ML frameworks such as OpenAI, LangChain, Pinecone, Spacy, and Hugging Face. Model Development: Develop and fine-tune NLP models on the OpenAI platform tailored to business use cases. Apply machine learning techniques to analyze, interpret, and extract insights from complex datasets. Backend Engineering: Architect, implement, and deploy Python-based microservices on AWS using containers/Kubernetes. Deliver solutions via fully automated CI/CD pipelines. Collaboration: Work closely with software engineers to integrate AI/ML capabilities into products, ensuring seamless functionality. Partner with product managers and business stakeholders to translate requirements into innovative AI solutions. Security & Best Practices: Implement safeguards to ensure user data security and privacy. Stay up-to-date with industry standards and best practices for AI/ML deployment. Qualifications: Experience: 5 years of experience in software product development with exposure to AI/ML, NLP, data science, or deep learning initiatives. Experience building and supporting multi-tenant SaaS applications at scale. Technical Expertise: Proficiency in Python and working knowledge of Node.js. Strong foundation in computer science fundamentals, including data structures, algorithms, and software design. Solid experience with both SQL and NoSQL databases. Preferred Background: Postgraduate degree or equivalent experience with proven outcomes in AI/ML research or projects. Hands-on experience developing AI/ML models in production environments and integrating them into enterprise applications using cloud-native or hybrid technologies.
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