Senior Software Engineer 2 - AI/ML

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.