AI/ML Engineer

Posted 17 days agoViewed

💎 Seniority level: Junior

📍 Location: Greece

🔍 Industry: IT Software, Information, and Communication Technologies

🗣️ Languages: English

🪄 Skills: PythonSQLData AnalysisETLMachine LearningSparkData modeling

University degree in Data Science, Computer Science, Information Technology, or other related fields.
Good understanding of a variety of AI and machine learning techniques and their real-world advantages/drawbacks.
Good understanding of data modeling and evaluation.
Good understanding of the ML lifecycle.
Experience with Exploratory Data Analysis (EDA).
Strong analytical capabilities, team and quality-oriented, keen to learn and excel.
Excellent written and oral communication skills in English.
Nice to have: Experience with Big Data technologies (e.g., Spark, PySpark), SQL, and exposure to ETL development.

Participate in requirements elicitation meetings and contribute to brainstorming sessions.
Elaborate functional/non-functional specifications.
Analyze data originating from various data sources to drive optimization and improvement of product development and business strategies.
Identify candidate models and algorithms matching the business problems.
Develop PoC and enterprise solutions.
Contribute to the full development lifecycle, including requirements gathering, analysis, design, implementation, testing, documentation, and maintenance.
Operate in a multinational environment while adhering to professional standards and methods.
Ensure delivery of quality products.

Posted about 1 month ago

📍 EU

🔍 Digital healthcare

🔧 Requirements

Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Natural Sciences, or a related field.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with Machine Learning tools like Databricks or Azure ML.
Strong programming skills in Python and experience with Git or version control mechanisms.
Proficiency in cloud platforms (AWS, Azure, GCP etc.) and containerization (Docker, Kubernetes etc.).
Experience with CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions) and ML workflow tools (e.g., MLflow, Kubeflow etc.).
A passion for leveraging AI/ ML to solve complex challenges and deliver meaningful results.

💡 Responsibilities

Build, deploy or leverage AI and ML models and algorithms to solve real-world problems in digital healthcare.
Develop and maintain robust machine learning pipelines and infrastructure for scalable solutions.
Work with cross-functional teams to integrate AI capabilities into key business operations and systems.
Stay ahead of the curve by researching and implementing the latest advancements in AI and ML.
Conduct rigorous testing and optimization to ensure the reliability and efficiency of AI / ML solutions.

DockerPythonKubeflowKubernetesMachine LearningMLFlowPyTorchAzureTensorflowCI/CD

Posted about 1 month ago