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Greeka.com
Greeka.com

Artificial Intelligence / Machine Learning Engineer, [ 3years Experience, Salary Range: 500USD-800USD] - JobId:16042025

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

AI
Machine learning
Data
+31

Permanent role
a month ago
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Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package.

Company Description

Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc

Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc…..

Role Description

We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes.

Major Responsibilities & Job Requirements include:

• Develop and implement NLP/LLM Models.

• Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques.

• Develop and implement AI models using Python, TensorFlow, and PyTorch.

• Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models).

• Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems.

• Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows.

• Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources.

• Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS.

• Work on natural language processing (NLP) tasks and create language models (LLM) for various applications.

• Design and maintain SQL databases for storing and retrieving data efficiently.

• Utilize machine learning and deep learning techniques to build predictive models.

• Collaborate with cross-functional teams to integrate AI solutions into existing systems.

• Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions.

• Write clean, maintainable, and efficient code when required.

• Handle large datasets and perform big data analysis to extract valuable insights.

• Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance.

• Proficiency in cloud services from Amazon AWS

• Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER.

• Develop similarity functions and matching algorithms to align candidate skills with job requirements.

• Experience with microservices, Flask, FastAPI, Node.js.

• Expertise in Spark, PySpark for big data processing.

• Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet.

• Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline.

• Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others.

• Experience with database technologies and vector representation of data.

• Familiarity with similarity functions and distance metrics used in matching algorithms.

• Ability to design and implement custom ontologies and classification models.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

About Greeka.com

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