Junior AI/ML Engineer – Python Developer

This is a fully remote position, open to applicants in Greece.

📋 Description

• Develop and implement sophisticated machine learning solutions along with deployment strategies (MLOps).

• Construct Generative AI components and pipelines, including Retrieval-Augmented Generation (RAG) architectures, orchestration layers, and evaluation frameworks.

• Engage in AI governance, ensuring observability, monitoring, and adherence to responsible AI practices.

• Assist in the design and documentation of AI solutions.

• Execute tasks related to Python implementation.

• Create microservices utilizing frameworks such as FastAPI, Flask, and Pydantic.

• Participate in challenging international projects, delivering machine learning and AI solutions for prominent global public organizations.

⛳️ Requirements

• A university degree in IT or a related discipline.

• Strong proficiency in Python, as well as libraries such as pandas, NumPy, SciPy, Matplotlib, and seaborn.

• Solid understanding of FastAPI, Flask, Pydantic, and SQLAlchemy.

• Practical experience in utilizing and integrating leading Large Language Models (LLMs) and Smaller Language Models (SLMs).

• Knowledge of AI frameworks such as LangChain, LangGraph, and Haystack.

• Familiarity with major machine learning frameworks like PyTorch and TensorFlow.

• Understanding of model formats such as ONNX.

• Excellent command of English, both written and spoken.

• Experience in designing and implementing AI/NLP pipelines (AI Ops / NLP Ops) is a plus.

• Familiarity with AWS SageMaker and/or Azure Machine Learning platform is advantageous.

• Knowledge of cloud platforms like AWS or Azure is desirable.

• Familiarity with Big Data systems such as Spark (PySpark) and/or Databricks is a plus.

🏝️ Benefits

• Competitive full-time salary.

• Private health insurance through the company’s group program.

• Flexible working hours.

• Access to top-of-the-line tools.

• Language courses.

• Specialized training.

• Opportunities for continuous learning.

• Career development opportunities.

• A dynamic work environment with challenging objectives, autonomy, and mentoring.