- Work with senior management technical and client teams in order to determine data requirements business data implementation approaches best practices for advanced data manipulation storage and analysis strategies
- Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
- Design implement automate and maintain large scale enterprise data ETL processes
- Modify existing databases and database management systems and/or direct programmers and analysts to make changes
- Test programs or databases correct errors and make necessary modifications
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
- 1+ years of experience with one or more Deep Learning frameworks such as TensorFlow and PyTorch.
- 3+ years experience with developing Machine learning solutions and architectures for Natural language processing domain.
- 5+ years professional experience in software development in languages related to ML like Python or R.
- Experience working with RESTful API and general service-oriented architectures.
- 3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices
- 5+ years of industry experience in predictive modeling and analysis
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships
- Consulting experience and track record of helping customers with their AI needs
- Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
- Experience with AWS technologies like SageMaker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR
- Knowledge of Apache Spark
- Able to write production level code, which is well-written and explainable
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
- Experience working with GPUs to develop models
- Experience handling terabyte size datasets
- Track record of diving into data to discover hidden patterns
- Familiarity with using data visualization tools
- Knowledge and experience of writing and tuning SQL
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Description
Senior level consultant that has expertise in data science and the full software development lifecycle. Has 4+ years of working in a large enterprise environment.Description:
Job Responsibilities:
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity.
We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.
As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.
That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.