Lead Machine Learning Developer Cum ArchitectPosition Title: Lead Machine Learning Developer Cum ArchitectLocation: San Jose, CA (Look for local profiles only)Duration: 6 months plusBill Rate: $100/hr all inclusive (Priority will be given to W2 but also lock C2C profiles. Need genuine profiles)Who You AreKey architect / designer / developer for developing solutions around Early Detection of Production Experience Degradation, Accurate Fault Detection, Decision Systems, Workflow Orchestration and Remediation or self-healing systems that are in-line with Service Delivery Platform and micro services built on it.Operationalize the Support Solutions across Support OrganizationsContribute to Serviceability specifications and application roadmapsLead development of subsystems. Design & Develop large portions of software independently and rapidly. Good understanding and proficiency in developing Artificial Intelligence and Machine Learning (AI / Client) solutionsShould be familiar with contemporary Monitoring Tools, ITSM Tools, Remediation Tools, Robotic Process Automation (RPA)Strong ability and desire to learn new tools as required is an absolute must.Lead Change the Biz projects during the initial phase of the engagement and transform into Run the Biz post operationalization of the support solutionsYou must be motivated, driven and a team player.
You should be willing to learn quickly and be enthusiastic about working on a wide range of product areas. You must work well independently and as part of a team. Strong communication skills are essential.Minimum Qualifications:Core Skills for during the Change the Biz phase:Automation products like Blue Prism, Automation WorkfusionAutomation technologies like RPA, Intelligent AutomationAI/Client, Deep Learning Cognitive Computing - Azure Machine Learning/AWS Client/Google ClientApache Spark & SparkML for machine learningDesign and deliver PoC/PoV RPA solutionsPredictive modeling ranging from R or SAS or MatlabProgramming in MxNet, Tensorflow, Caffee frameworksProgramming language (R, Python, Java, C/C++)Automation tools - Workfusion/BluePrism/UIPathMachine learning concepts ranging from RNN, CNN's and LSTM'sNatural Language Processing, classification, pattern recognition, recommendation systemsSkills required during Run the Biz:Containerization (Docker)Container orchestration platforms (Kubernetes, Marathon)Web platforms (PostgreSQL, NGINX, HAProxy)Configuration Management Systems (Chef, Puppet, Ansible, etc.)Monitoring systems (Nagios, Sensu, AppD)Continuous integration software, e.g. Jenkins or BambooAmazon Web Services / AWS skillsResource managers, e.g.
Mesos, Kubernetes, Yarn, etcDistributed messaging systems, e.g. KafkaBig Data tools, e.g. Spark, Hive, HDFS, Scala, HadoopUnderstanding, modifying, and writing Python codeWeb interfaces for internal-facing tools - JavaScript and CSSETL tools (including No SQL) such Cassandra/Drill/ImpalaStrong self-motivation for solving problems and innovating with furious intent to improve the customer experienceStrong problem solving and software development/troubleshooting skills. Ability to "think in code" and discuss ideas and algorithms is a must.Typically requires MSEE/CS combined with 6-8 years of related experience, or BSEE/CS combined with 10 yrs.
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