www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Generative AI - Solution Architects
Institution: Eli Lilly and Company
Location: Bangalore, Karnataka, India
Duties: Work in tandem with our engineering partners to identify and implement the most optimal cloud-based ML solutions for the company; Research, design and adopt cutting-edge NLG algorithms to address real-world challenges such as summarisation; Define and document best practices and strategies regarding deployment and infrastructure maintenance; Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
Requirements: Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.); Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services; Ability to write robust code in Python, Java and R; Experience optimizing model hyperparameter tuning for speed and cost; Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot
   
Text: Generative AI - Solution Architects Work in tandem with our engineering partners to identify and implement the most optimal cloud-based ML solutions for the company; Research, design and adopt cutting-edge NLG algorithms to address real-world challenges such as summarisation; Define and document best practices and strategies regarding deployment and infrastructure maintenance; Ensure ML Model performance, uptime, and scale, maintaining high standards of code quality and thoughtful design Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.); Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services; Ability to write robust code in Python, Java and R; Experience optimizing model hyperparameter tuning for speed and cost; Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot
Please click here, if the job didn't load correctly.







Please wait. You are being redirected to the job in 3 seconds.