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Position: Senior Data Scientist-ML Ops, AWS, Sagemaker @ Herndon, VA( Onsite ) to join their team on Full Time BasisJob Title: Senior Data Scientist-ML Ops, AWS, Sagemaker aria-hidden="true" Location: Herndon, VA( Onsite ) aria-hidden="true" Duration : Full TimeWe’re hiring technical Machine Learning Developers to collaborate with our Data Scientists to deliver ground-breaking solutions for customers. We are looking for builders to support our efforts in the Enterprise, SMB, and start-up communities. aria-hidden="true" aria-hidden="true" The ideal candidate will have deep experience in the following fields: Enterprise Application Development w/ serverless technologies, build and integrate ML (Machine Learning) and DL (Deep Learning) models into applications. A familiarity with cloud solutions (Must have AWS) and DevOps is a must. This candidate will need a strong background in machine learning, and will work with a team of data scientists to build end to end solutions. And, of course, the candidate MUST be willing to learn new technologies. aria-hidden="true" aria-hidden="true" A commitment to team work, hustle, and communication skills are important in this role. Creating reliable, scalable, and high-performance ML / AI solutions requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.BASIC QUALIFICATIONS- BS or Masters degrees in computer science, engineering, or related technical, math, or scientific field
- 5+ years Application Development experience required with cloud technologies
- At least 5 years’ experience in building large-scale machine learning and AI solutions at scale.
- 3+ years of Architecture experience: data pipelines, distributed computing engines
- 5+ years of Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PL/SQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms)
- 3+ years of Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision)
- 5+ years of Machine Learning Experience: ML algorithms, experience with training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines)
- 5+ years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3
- 5+ years of Data Science experience: Python (NumPy, SciPy, Pandas, SciKit-learn, TensorFlow/PyTorch/MXNet
- 5+ years of Machine Learning experience: supervised learning (regression), supervised learning (classification)
- Data Scientist , AI , ML , ML Ops , AWS , AWS Sagemaker, NLP , Python
- Bachelor’s degree or its equivalent in Computer Science, Computer Applications, Information Systems, Information Technology, Electronics, Engineering, Science, Mathematics, or in a directly related field.