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Solution Architect - Data Science (8-16 yrs) Bangalore (Analytics & Data | Solution Architect 1

Winning Edge

This listing was posted on hirist.

Solution Architect - Data Science (8-16 yrs) Bangalore (Analytics & Data

Location:
Bangalore
Description:

Job Description :Required /Proven experience with the following :- 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 o 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 situationsDesirable Skills : - 8-16 years of production model deployment experience for ML solutions- Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed- Strong teamwork, problem-solving, and analytical skills- Deep knowledge of math, probability, statistics and algorithms- Strong understanding of Pharma Quality Standards and Practices- Excellent leadership and interpersonal skills (both verbal and written) (ref:hirist.tech)
Education/experience:
7 To 10 Years
Company:
Winning Edge
Posted:
May 23 on hirist
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