Senior AI Engineer/Data Scientist at Complexio

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Relational Databases, Key-Value Stores, Cloud Platforms, Event-Driven Architectures, RESTful APIs, Asynchronous Processing, Containerization, Orchestration, Machine Learning, NLP, Deep Learning, LLMs, Fine-Tuning, Statistical Methods, CI/CD Tools

Industry

Software Development

Description

Complexio’s Foundational AI platform automates business processes by ingesting and understanding complete enterprise data—both structured and unstructured. Through proprietary models, knowledge graphs, and orchestration layers, Complexio maps human-computer interactions and autonomously executes complex workflows at scale. Established as a joint venture between Hafnia and Símbolo—with partners including Marfin Management, C Transport Maritime, BW Epic Kosan, and Trans Sea Transport—Complexio is redefining enterprise productivity through context-aware, privacy-first automation. We're looking for Master AI Engineer - a hybrid role blending the deep technical expertise of a Senior Software Engineer with the analytical and model-development skills of a Data Scientist. You will work at the intersection of cloud-native software engineering, machine learning, and generative AI. The project focuses on enhancing business processes through the use of artificial intelligence and advanced technologies. It enables intelligent data handling and supports automated decision-making. Built with modern, high-performance solutions, it ensures efficiency, security, and scalability. Qualifications 6+ years of experience in software engineering and/or Data Scientist/AI Specialist roles. Proficiency in Python (knowledge of vanilla JavaScript or Java.is a plus). Strong experience with relational databases (PostgreSQL etc.) and key-value stores (Redis). Deep knowledge of cloud platforms (AWS, Azure, or GCP), including services for compute, storage, and AI workloads. Familiarity with event-driven architectures, RESTful APIs, and asynchronous processing. Experience with containerization (Docker/Podman) and orchestration (Kubernetes). Good foundation in machine learning, NLP, and deep learning, including experience with Transformers (Hugging Face, spaCy). Experience with LLMs, fine-tuning (LoRA/QLoRA), and prompt engineering techniques. Experience in working with open-source foundation models (LLaMA, Mistral, etc.). Ability to extract actionable insights from large datasets using statistical methods and visualization. Experience with CI/CD tools (e.g., GitHub Actions) and software delivery best practices. Strong problem-solving skills and the ability to navigate complex, ambiguous environments. English proficiency at B2+/C1 level. Join a pioneering joint venture at the intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field.

Responsibilities

You will work at the intersection of cloud-native software engineering, machine learning, and generative AI. The project focuses on enhancing business processes through the use of artificial intelligence and advanced technologies.