Intern ML Engineer/Data Scientist

Opale is a GenAI platform for investment funds and M&A deals. We are reimagining the future of investment strategies by unlocking human-like syntheses at scale. Our platform leverages proprietary technology and state-of-the-art LLM models to uncover rich insights and produce deep analysis in a few seconds.

Within the AI Engineering squad, you'll work on state-of-the-art models, retrieval, and optimization techniques. Leveraging those, you'll contribute to the next features that we're integrating into the platform and our production environment.

Responsibilities:

1. Develop and implement fine-tuned vision models (YOLO, multi-modal transformers) for specific tasks within our pipelines: You will be responsible for creating and integrating advanced vision models such as YOLO and multi-modal transformers. These models will be tailored to perform specific tasks within our data processing pipelines, ensuring high accuracy and efficiency.
2. Optimize model inference for blazingly-fast performance: Your role will involve collaborating on enhancing the speed and efficiency of model inference. This includes implementing techniques to reduce latency and increase throughput, ensuring that our AI models can process data and deliver results in real-time and explore a few of the new frameworks that we're aiming at working with.
3. Contribute to building market studies, landscape analysis, and risk identification agents: You will play a key role in developing tools and systems for market studies and landscape analysis. This involves creating AI-driven agents that can identify market trends, analyze competitive landscapes, and detect potential risks. These insights will help inform strategic decisions and mitigate risks for our platform users.
4. Work on building a LLM validation framework: We're building capabilities to ensure that these models function correctly and produce reliable, accurate outcomes. You'll be assessing the model's performance, integrity, and practical applicability.

Requirements:

1. Currently pursuing an advanced degree in Data Science, Machine Learning, or any related field.
2. Strong software engineering skills to bring ideas to life in production.
3. Proactive, detail-oriented engineer who delivers clean, maintainable, and high-performance code with a focus on quality.
4. Passion for optimizing model performance and inference speed.
5. Scientific mindset with insatiable intellectual curiosity.
6. Ability to work collaboratively in a fast-paced startup environment.
7. Proficiency in Python and relevant ML libraries (PyTorch, Hugging Face).
8. Familiarity with Rust.
9. Experience with financial data or investment analysis.
10. Familiarity with any cloud computing platforms (AWS, GCP, Azure).

Additional Information:

- Start Date: Starting from January 2025.

- Compensation: Commensurate with experience and internship duration.

- Specific Conditions: For logistical and administrative reasons, we can only accept applications from students currently residing in France or within the European Union.

Interview Process:

1. First, we'll schedule a 30-minute call to get to know you better and give you a detailed presentation of the company & the job topic.
2. Next, we’ll schedule a live technical and coding interview with one of our senior engineers.
3. Finally, we'll invite you for a last round interview around a coffee or tea at our office to meet the team and give you a sneak peek into our daily routine.

#J-18808-Ljbffr

Location: Paris, FR

Posted Date: 11/24/2024