AI ML Technical Architect

We need your support to fill the following AI ML TECHNICAL ARCHITECT role. Please go through the JD and let me know if you can support on this position.

Required Skills Matrix:

1. AI ML
2. Generative AI
3. AWS, Azure, or GCP
4. MLOps
5. SQL
6. Python OR Java

Role Details:

Role: AI ML TECHNICAL ARCHITECT

Location: Frankfurt, Germany (Hybrid)

Type: Permanent OR Contract

Salary: 100K euros gross per year

Contract Rate: 500-600 euros per day

Language Requirements: Must be fluent in German and English

Minimum Requirements:

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

Candidate Submission Format:

1. Full name (As per passport)
2. Visa/work Authorization name
3. Nationality
4. Agreed per annum salary OR day rate
5. Notice Period
6. Current Location
7. Availability for the interview
8. Phone Number
9. Email Address
10. German Language Level
11. English Language Level