About Our Team
We are a group of innovative technologists passionate about exploring the frontiers of AI.
Key Responsibilities :
- We design and execute machine learning experiments to evaluate emerging AI technologies and frameworks.
- We prototype and assess end-to-end AI solutions to inform product strategy.
- We formulate hypotheses and conduct structured evaluations to compare technical approaches.
- We apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems.
- We contribute to defining best practices for experimentation, evaluation, and technical decision-making.
- We synthesize and communicate experimental results to guide investment decisions.
- We translate new research ideas and tools into functional demonstrations.
- We operate independently while contributing to a collaborative team environment.
- We communicate technical findings clearly to both technical and non-technical audiences.
Requirements :
You must have a degree in computer science, data science, information technology, statistics, economics, or a related STEM field.You need 3+ years of experience building machine learning-powered applications or tooling.You should be proficient in Python and familiar with modern ML / AI libraries (e.g., PyTorch, Hugging Face, OpenAI SDKs).You must have experience working with LLM orchestration or agent frameworks.You should understand model tuning, prompt engineering, or retrieval-augmented generation patterns.You need experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and / or Kubernetes.You must demonstrate ability to independently prototype, test, and iterate on technical ideas.You should be familiar with ML evaluation techniques and structured experimentation workflows.You must be proficient with version control systems, CI / CD practices, and ML observability tools.Why Join Us
At our organization, you will find a dynamic and supportive team environment that encourages collaboration and innovation. We offer opportunities for professional growth and development, as well as a competitive compensation package.
How to Apply
To join our team, please submit your application through our website. We look forward to reviewing your qualifications and experiences.