OC-26 Senior AI/ML Engineer

Job Summary Oceans Code Experts is looking for a Senior AI/ML Engineer to join our team. In this role, you will work with cutting-edge technologies such as Python, Google Gemini, GPT-4, and Vertex AI, contributing to the development and deployment of innovative AI products. Job Responsibilities Utilize mastery of Python and shell scripting to develop and maintain clean, maintainable code. Work extensively with Google Gemini, GPT-4, and other AI/ML ecosystems to engineer advanced solutions. Implement Semantic Search and utilize Vector Databases for efficient data retrieval. Build scalable software architectures on Google Cloud (Vertex AI) for optimized performance. Collaborate with cross-functional teams to deploy GenAI products to production environments. Follow best software engineering practices throughout the Software Development Life Cycle (SDLC). Job Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in AI/ML, with a focus on deploying AI products. Proven experience with Classic Machine Learning, neural nets, and model training. Knowledge of Data Engineering, SQL, and proficient in LangChain. Strong understanding of AI/ML frameworks like LangChain and LlamaIndex. Advanced English proficiency, both written and spoken. Experience with API integration and testing. Ability to collaborate effectively and communicate technical concepts. Nice to Have Experience with Prompt Engineering and Fine-tuning. Familiarity with building orchestration layers using LangChain or similar frameworks. Previous exposure to AI/ML technologies such as Google Gemini, GPT-4, or LLaMA. Knowledge of scalable software architectures and infrastructure design. Position Type and Expected Hours of Work Full-time consulting position. Up to 40 hours per week with flexible core hours. Fully remote work. Header Position Title: OC-26 Senior AI/ML Engineer Technologies: Python, Google Gemini, GPT-4, Vertex AI, SQL, LangChain Locations Available: All LATAM Job Mode: Full-time Work Mode: 100% Remote