GCP Senior Data Lead

Job Summary

Data Analyst Scientist Job Description Data Scientist with experience in designing, developing, and researching Machine Learning systems, models, and schemes through 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 GCP 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, Tensor Flow or Py Torch etc.), Hugging Face Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)Should have experience in GCP services such as Vertex AI, Bigquery, and general knowledge of GCP architecture & other services Ability to write robust code in Python, Java and RExperience optimizing model hyperparameter tuning for speed and cost Experience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow etc Experience with Docker and Kubernetes 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)Experience in working with regulatory and/or legal information will be a plus Excellent analytical, planning, organizational and technical and skills Skilled at influencing, guiding, and facilitating stakeholders and peers with decision making. Should have experience in consulting with business teams and driving design/ai innovation workshops around business use cases 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

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