Position: ML Engineer with Python and Data experience
Company: Intellias
Category: Python
Experience required: 5y
English level: upper

We are currently seeking a Python Data Engineer to join our esteemed company, a leading private equity firm specializing in investments in software, e-commerce, and technology-enabled businesses. Since our establishment in 2003, we have cemented our position as a prominent player in the industry, employing a long-term approach to value creation and partnering with ambitious, growth-oriented businesses.

As a Python / ML Engineer you will work on continuing the development of our internal GPT solution built on top of Azure Open AI, index new documents and data sources, develop smaller data applications, and maybe help with small developments on our internal time-keeping application. You will work on the supporting applications around these, like setting up monitoring and deployment pipelines, terraform scripts etc so some understanding of cloud infrastructure would be a bonus. You will also work with technologies like langchain, vector databases/indexes, and maybe some very light react and typescript development.  

You will be a part of the Digitalization & Insights team and participate in digital team workshops etc. You will work closely with several members of the team and two other nearshoring consultants.

Collaboration with cross-functional teams will be a key aspect of your role, as you contribute to the development of advanced analytics capabilities using cutting-edge technologies and methodologies. Leveraging your expertise in Python development and data engineering, you will streamline data workflows, optimize data storage and retrieval, and facilitate seamless integration with analytics and visualization tools.

By joining our team, you will become an integral part of a dynamic and collaborative environment that values innovation, integrity, and excellence. Together, we can make a significant impact on understanding the global economy and market trends, shaping our investment strategies, and driving the success of our portfolio companies.

**Requirements:**

- 4 years or more of experience in the field;
- Most of the work will be in SQL and Python;
- Good understanding of data modeling, normalization, fact vs dimension tables, and so on;
- Familiar with general/basic AI/ML principles, understands the basics of prompts and indexing;
- Works well in a setting where he or she needs to make sure the principles and requirements are met, but where speed is valued over extreme scalability;
- Actively use AI pair programmer, such as Github Copilot.

**Nice to have:**

- Understanding of cloud infrastructure (serverless, keystores, object store, event pipelines etc), preferably in Azure;
- Experience with llms, open ai, automl, azure prompt flows and/or similar technologies is important;
- Experience or knowledge of Langchain, OpenAI API, Vector databases/indexes;
- Experience with Streamlit (for simple UIs for data applications);
- Software lifecycle awareness (deployment, debugging, logging);
- Familiar with the GCP tech stack.

**What is it like to work at Intellias?**

Imagine that you’ve created a company of your own. It’s innovative, trustworthy, and open-minded. And it’s exactly what Intellias is like. We’ve built our company on the principles of respect and support, and we’re happy to invite you to join.
Working at Intellias is:

**Acting humanly.** Intellias has no place for discrimination, artificial hierarchies, pressure, or toxicity. We foster a culture of openness and caring, efforts, and results.

**People over processes.** Our processes are constantly evolving to become more convenient and provide a positive experience for everyone, who works here.

**Smart comfort. **Intellias has an entire system designed for its employees to feel comfortable—both physically and emotionally. It includes fully equipped workplaces, airy lounge rooms, and many more.

**You manage your time.** Colleagues can start and stop their time tracker, whenever they want, without asking their managers’ permission to go to their dentist’s appointment or visit their kids’ school play.

**Mature engineers.** Over 60% of our team are software engineers with Senior and higher qualifications. Buckle up, it’s Formula 1 of software engineering.

**Ecomobility.** We want to see our cities eco-friendly and sustainable. That’s why we foster a cycling culture on our team and reduce waste.