AI ML Technical Engineer

Axiom Software Solutions Limited; Frankfurt; Vor Ort; EUR 60.000 - 65.000; Vollzeit

Zusammenfassung

A technology solutions provider is seeking an experienced AI ML Technical Engineer for a hybrid role based in Frankfurt, Germany. Candidates should have 8-12 years of experience and must be fluent in German and English. Responsibilities include working with a variety of AI and ML technologies, including programming, cloud platforms, and NLP tools. Strong communication skills and a Bachelor’s degree in a related field are required, alongside technical proficiency in several machine learning frameworks and tools.

Qualifikationen

• 8-12 years of experience in AI and ML.
• Proven experience in AI, ML, MLOps, Text Analytics, and Generative AI.
• Hands-on experience with SQL and NoSQL databases.

Kenntnisse

AI and Machine Learning proficiency

Programming languages: Python, Java

Cloud platforms: AWS, Azure, GCP

Natural Language Processing tools

MLOps tools experience

Microservices architecture

Problem-solving skills

Strong communication skills

Ausbildung

Bachelor's degree in relevant field

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

NLTK

Spacy

MLflow

Kubeflow

Airflow

FastAPI

Flask

Django

Jobbeschreibung

Overview

Role : AI ML TECHNICALEngineer

Location : Frankfurt Germany (Hybrid)

Type : Permanent OR Contract

Salary : 60-65k

Contract Rate : 400-450 Euros / day

Must be fluent German and English Speakers

• At least having 8 to 12 years of experience in AIML .
• Proven experience in AI, ML, MLOps, Text Analytics and Generative AI.
• Strong proficiency in programming languages such as Python, Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience in Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.
• Experience in Natural language processing (NLP) tools : NLTK, Spacy, and Gensim.
• Experience in MLOps tools such as Kubeflow, MLflow, or Azure ML.
• Knowledge / hands-on experience with workflow tools like Airflow.
• Experience with Microservices architecture.
• Experience with SQL and NoSQL databases such as MongoDB, Postgres, Neo4j, etc.
• Experienced with Rest API python frameworks such as Fast API / Flask / Django.
• Excellent problem-solving skills and a collaborative mindset.
• Strong communication skills to work effectively with diverse teams.
• A minimum of a bachelor’s degree in computer science, Information Technology, Computer Information Systems, Data Science, or a related field.