Job Description
AI ML Technical Engineer
Role: AI ML TECHNICAL Engineer
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.
Python, Java, TensorFlow, PyTorch, Keras
Role: AI ML TECHNICAL Engineer
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.
Python, Java, TensorFlow, PyTorch, Keras
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