Data Scientist/ML Engineer

The IT company Andersen invites an experienced AI Integration Engineer to work on a large-scale Media&Telecom project.

The customer is a forward-thinking company with a diverse portfolio of products and services. The company is committed to innovation and excellence in various fields, including digital communication and streaming technologies. With over 1,000 employees from 33 countries, the company prides itself on its multicultural and multidisciplinary team.

The project is to integrate AI into software development, accelerating delivery, enhancing knowledge accessibility, automating testing, and improving code reviews to boost productivity across product teams.

Responsibilities:

- Applying a deep understanding of machine learning algorithms, such as decision trees, support vector machines, and clustering techniques, to develop and optimize AI models.

- Designing and implementing deep neural networks, including architectures like transformers and convolutional neural networks (CNNs), to address complex problems and enhance system capabilities.

- Developing Retrieval-Augmented Generation (RAG) applications that combine information retrieval with natural language generation to provide accurate and contextually relevant responses.

- Designing and building autonomous AI agents capable of making decisions and performing tasks with minimal human intervention, enhancing operational efficiency.

- Utilizing vector databases to efficiently store and query high-dimensional data, supporting advanced AI functionalities.

- Developing and maintaining AI solutions using programming languages such as Python, and optionally Java, Go, or PHP, ensuring robust and scalable implementations.

Must-haves:

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. - Experience as an AI Integration Engineer for 5 years.

- Proven experience in machine learning and deep learning model development. - Deep understanding of model evaluation, overfitting, regularization, and optimization techniques.

- Hands-on experience with vector databases like Pinecone, Weaviate, FAISS, or Milvus. - Understanding of indexing algorithms such as: HNSW (Hierarchical Navigable Small World), IVF (Inverted File Index), PQ (Product Quantization).

- Experience with deep learning architectures: CNNs, RNNs, Transformers, etc. - Experience with scalable ML pipelines and data workflows.

- Experience with building and deploying Retrieval-Augmented Generation systems.

- Hands-on experience with RAG applications and agentic AI systems. - Familiarity with MLOps practices: model versioning, monitoring, CI/CD for ML.

- Proficiency in managing and querying vector databases.

- Strong programming skills in Python.

- Problem-solving abilities and the capacity to work collaboratively in a team environment.

- Level of English – from Intermediate and above.

Nice-to-haves: - Familiarity with Java, Go, or PHP.

Reasons why this job would be interesting to you:

- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..

- The opportunity to change the project and/or develop expertise in an interesting business domain.

- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.

- Guarantee of professional, financial, and career growth The company has introduced systems of mentoring and adaptation for each new employee.

- The opportunity to earn additional up to 1,700 EUR per month by participating in the company's activities.

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.

- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).

- Certification compensation (AWS, PMP, etc).

- Referral program.

- English courses.

- Private health insurance and compensation for sports activities.

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