Cloud Architect

3 weeks ago

Bangalore, Karnataka, India Winning Edge Full time

Job Description :


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

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

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

- 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

- Experience with Docker and Kubernetes

- Familiarity with Eventbridge and AWS step function for workload orchestration

- Experience with Agile Development.

- Good experience in process improvement/change management methods

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

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

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

- Excellent analytical, planning, organizational and technical and skills

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

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

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

(ref:hirist.tech)

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