Join Oceans Code Experts as a Senior AI/ML Engineer to develop and deploy innovative AI products using cutting-edge technologies. Utilize mastery of Python and shell scripting to develop clean, maintainable code. Collaborate with cross-functional teams to deploy GenAI products to production environments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Technologies: SQL, LangChain, Python
Location: All LatAm, Remote
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).
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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.
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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.
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