Senior Data and AI Engineer (NLP)

February 2

GetInData | Part of Xebia

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Experts dedicated to becoming the leaders in providing Big Data, Cloud, Analytics, ML/AI/BI services.

Big data • Hadoop • NoSQL • Spark • Kafka

51 - 200

Description

• We are committed to leading the way in business and artificial intelligence, utilizing state-of-the-art tools and methodologies. As a Machine Learning Engineer, you’ll merge traditional data engineering with modern natural language processing. This role involves leveraging tools like Databricks, BigQuery, Airflow, Vertex AI, ElasticSearch, and integrating LLM APIs from major platforms such as OpenAI. • Responsibilities - Developing and maintaining scalable data pipelines using tools such as Databricks, Airflow - Developing text data and language processing pipelines employing Elasticsearch, Langchain, LlamaIndex, or cloud-native services - Implementing knowledge-retrieval systems, semantic search, or vector stores using e.g. Elasticsearch - Integrating APIs of LLMs (e.g., OpenAI API) to build AI-based applications like conversational search or chatbots - Applying tools for comprehensive data analytics on both structured and unstructured data for BI purposes, as well as AI-enabled features - Keeping abreast of the latest trends and advancements in data engineering, machine learning, and AI

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field • Extensive experience in data engineering, including working with e.g. Databricks, BigQuery, Airflow • Commercial experience in text processing, like calculating embeddings, configuring free-text or semantic search systems, using technologies like Elasticsearch, Langchain, LlamaIndex, or similar. • Proficiency in Python • Familiarity and experience with commercial and/or open-source LLMs • Solid understanding of machine learning and AI principles • Strong analytical, problem-solving, and communication skills

Benefits

• Salary: 150 - 200 PLN net + VAT/h B2B (depending on knowledge and experience) • 100% remote work • Flexible working hours • Possibility to work from the office located in the heart of Warsaw • Opportunity to learn and develop with the best Big Data experts • International projects • Possibility of conducting workshops and training • Certifications • Co-financing sport card • Co-financing health care • All equipment needed for work