| NEED--Machine Learning, Data Science Solution Architect - Generative AI | Bloomington, Minnesota, USA(ONSITE) at Bloomington, Wisconsin, USA |
| Email: [email protected] |
| From: Ravinder, CygnusPro Software Solutions Pvt. Ltd [email protected] Reply to: [email protected] Greetings for the day. We have a position for Machine Learning/Data Science Solution Architect - Generative AI Please have a look at the complete job description below and let me know if you have anyone interested. Job Role : Machine Learning/Data Science Solution Architect - Generative AI Location: Bloomington, Minnesota, USA Duration: 12+ Months Project Start date -Aug 01, 2023 Mandatory Skills : Machine Learning systems, NLU, NLP, NLG, Python, Java and R Job Description - Required Experience: 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 Desirable 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) Best Regards, Ravinder Molugu | Senior US IT Recruiter E : [email protected] Keywords: artificial intelligence machine learning rlang information technology |
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| Thu Jul 20 21:19:00 UTC 2023 |