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Cloud Architect| Machine Learning| AWS| Devops

Location: Bangalore, Karnataka

Category: Architect / Interior Designer Jobs

Experience Range: 10+ years

Location: Bangalore

Skills required:

o Designing, developing, and researching Machine Learning systems, models, and schemes through data science and data analytics prototypes.

o Understanding of Natural Language Processing(NLP), Natural Language Understanding(NLU) and Natural Language Generation(NLG)

o Develop and implement technical efforts to design, build, and deploy AWSML models at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics

o 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.)

o Should have experience in AWS services such as SageMaker, Elasticsearch, and general knowledge of AWS architecture & other services

o Ability to write robust code in Python, Java and R

o Experience optimizing model hyperparameter tuning for speed and cost

o Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow, and DataRobot

o Experience with Docker and Kubernetes

o Familiarity with Eventbridge and AWS step function for workload orchestration

o Experience with Agile Development.

o Good experience in process improvement/change management methods

o Knowledge of various aspects of an enterprise technology architecture like business, information, data, network, and security

o Understanding and knowledge of system development life cycle methodologies (such as waterfall, agile software development, rapid prototyping, and DevOps)

o Understanding and knowledge of IT service management (ITSM) and Information Technology Infrastructure Library (ITIL)

o Excellent analytical, planning, organizational and technical and skills

o Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making

o Ability to articulate new ideas and concepts to technical and nontechnical audiences

o Ability to understand the long-term ("big picture") and short-term perspectives of situations

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