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 positon.

Required Skills Matrix with profile :

Skills Years of experience

AI ML

Generative AI.

AWS, Azure, or GCP.

MLOps

SQL

Python OR Java

Details format :

You need to send candidates general details in below format only :

Full name (As per passport)

Visa /work Authorization name:

Nationality :

Agreed per annum salary OR day rate

Notice Period:

Current Location:

Availability for the interview:

Phone Number:

Email Address:

German Language Level :

English Language Level:

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

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.