Business Model StrategyOperating Model StrategyCorporate Growth and DevelopmentInternational DevelopmentManufacturing StrategyEnterprise TransformationMergers and AcquisitionsBig Data AnalyticsApplication ManagementApplication Modernization & OptimizationsBusiness Communication ServicesBusiness ContinuityBusiness Information Management (BIM)Business Process Management (BPM)Business AnalyticsBusiness StrategySecurity ServicesTechnical Support ServicesWorkplace ServicesBusiness Continuity and ResiliencyIntegrated CommunicationsSecuritySoftwareStrategy and DesignBusiness Process OutsourcingInfrastructure Outsourcing Application OutsourcingIT Infrastructure ServicesIT OutsourcingIT Services SourcingIT StrategyGlobal Process Services OfferingsCertificationConferences & EventsMarketingProcurementSupply ChainTalent and HRAccelerated R&D Health AdministrationHealth ManagementInsuranceNetworkUtilities| Job ID: | J318720 |
| Job Title: | Java-Python-Scala-ML |
| Client: | TBD |
| Location: | Dallas, Texas |
| Contract Duration: | 7 Months |
| Hourly Rate: | $70/hr Corp-to-Corp Contract |
| Experience Level: | 5+ Years |
| Interview Type: | Phone |
| Domain Exposure: | Telecom, IT/Software |
| Work Authorization: | US Citizen, Green Card, H-1B, GC-EAD, H4-EAD, L2-EAD, TN Visa, E-3 Visa |
| Preferred Employment: | Corp-To-Corp Contract |
I have below remote position with my client so please let me know your thoughts.
Please revert me back with your updated resume.
Client prefers consultant in Dallas or Atlanta.
The client will provide all expenses for travel and hotel will be covered if travel is required. The client will provide AMEX card for expenses.
Candidate Skillset:
An ideal candidate should have a minimum of 5+ years of experience in Java, 2+ years of experience in Python, and hands-on experience with Scala and Spark. The candidate should also be knowledgeable about Microservices architecture and API development.
Here are some of the additional desired skills:
1 - Business Understanding - ( What comprises a machine learning problem vs. Otherwise)
2 - Data Understanding – Data Characteristics and Catalog Management platform skills ( Ontologies, ERD, Repos)
3 - Data preparation – Exposure to Data Cleansing Tools ( Informatica, Python, Perl, Hadoop Hive, Scala, Spark)
4 - Modeling – Understanding of Modeling Ensembles and Platform components supporting the same (PMML, Model Support formats )
5 - Validation – Understanding of Scoring frameworks around ML ( PMML, other)
6 - Deployment – Microservices, OpenSource, Big Data, Spark
