AI/ML Engineer

Job Description

Projects Overview for Candidates:
 

We partner closely with Google and collaborate with a diverse range of clients across industries. Our projects vary, from building predictive models for e-commerce platforms to anticipate consumer behavior, to helping production companies automate and enhance their inspection processes through AI-driven solutions.
 

We work with a mix of pre-built models (e.g., Google's Gemini) and custom models, which we fine-tune and deploy based on specific client requirements. Your project allocation will be determined by your skill set and start date, ensuring a strong match for both your expertise and the current project needs.

 

Our projects typically follow these phases:
 

• Workshop: In this phase, we engage with clients to understand their challenges, conduct research, and propose tailored AI solutions.
• Proof of Concept (PoC): Here, we build a prototype to validate the feasibility of the proposed solution.
• Development: This is where we transition into long-term projects, focusing on the full-scale development and implementation of the solution.
   

While we primarily use Google Cloud Platform (GCP) infrastructure, we are also equipped to work with a variety of models and cloud services depending on the project's requirements.

 

Requirements

- Very good experience with Python 
- Generative AI OR / AND Traditional AI

- Deploying models as REST APIs (Flask) and using TFServe (Tensorflow).

- Customer presentation experience OR skills: The candidate is not afraid to give presentations and is ready to communicate with the client.

 

Big plus

- experience with GCP, AWS and Azure.
 

Duties 

- Develop proof of concept, MVP, app chatbot from LLMs, GCP tech stack for GenAI, and Python coding.