Required Skills: Machine Learning systems, NLU, NLP, NLG, Python, Java and R

Job Description

Job Title : Solution Architect - ScienceData 

Location: Bloomington, Minnesota(Onsite with hybrid model work)

 Job Description :-

Machine Learning systems, NLU, NLP, NLG, Python, Java and R

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

Thanks & Regards

Raghwendra Singh

e-solutionsinc

Tel : 669-699-0718, Extn-808

Alt No: 760-367-8902

Email : raghwendra.s@e-solutionsinc.com