Job Seekers, Please send resumes to resumes@hireitpeople.comPrimary Skills: 1). Azure Machine learning 2). Azure streaming analytics 3). R Python HDinsight
Description:
Machine Learning &Analytics Engineer/Consultant
Interface with clients on technical and business issues from project initiation through delivery. Drive program/project schedules and status reports. Provides technical guidance to customers by acting as trusted technical advisors for broad and complex issues with specific large, diverse, and complex customers. Responsibilities include providing technical leadership, acts as the point of contact for escalation and resolution for technical regarding application implementation in the IoT lab. Provides advanced technical support to developers, corporate customers and end users for complex products, including highly escalated issues. Experienced with application development space including desktop, mobile, headless + relevant UI/US technologies. Familiar with application development on Android and iOS a plus. Provides support via in person, collaborative teams, written correspondence, and electronic media. Act as technical lead and provide technical training, coaching, and mentoring to other developers, engineers customers and partners internal/external. Will provide consulting to internal or external customers. May research technical documents and feature lists. May develop developer programs and technical agendas to increase partner experience in lab.
Machine Learning & Analytics Engineer (1)
• Is Machine Learning (ML) and analytics development SME and is resident Lab Engineer/Consultant
• Owns analytics and Machine Learning space; using Microsoft, third party and open source tools
• Is Data Scientist - fluent with R / Python / ML on HDInsight and using open source tools
• Verse with key Industry data mining patterns and measures
• Familiar with complimentary / competitive technologies: Tableau, Watson, AWS QuickSight ...
• Hosts talks, events and hacks at Lab
• Strong communications and interacting with customer and partners to build their solution, trouble shoot roadblocks
Manages engineering disclosures and partnerships from internal teams and 3P platforms and tools
QUALIFICATION DETAILS: --This candidate will be working at a lab within Business Development. This position will entail a ton of customer facing and interacting with other lab team members.
--They will have a specific space that they own that is specific to their background.
--This person will need to understand all levels of the SDLC.
--Must be able to write, design, and understand code.
--Although this person will not be working on engineering team, they will act as the engineer of each area. Can reach out to engineering team with challenging questions that they need assistance on.
--Candidate must understand customers and be able to understand technical issues and solve them.
Will address technical issues, architecture, writing code and testing, work with prototypes and the equipment for the prototypes.
--Customer and partners (like Intel), will be working with this team to solve issues they may be having. The team will come up with solutions to solve these problems.
--Could also be doing an agenda of topics that need to get done during the week as well as initiating milestones; goals they want to accomplish.
--They might be helping to document the experience through a white paper and using those to help the next customer.
--Data background, large data, not just from database background (can be from statics and finance), tableau.
--5+ years of experience.
--communication, verbal, in person and in writing.
--articulate, confidence, honest, follow through, customer service.
What would you say are the TOP 3 must-have skills you’re looking for?
1). Azure Machine learning
2). Azure streaming analytics
3). R Python HDinsight
Machine Learning &Analytics Engineer/Consultant
Interface with clients on technical and business issues from project initiation through delivery. Drive program/project schedules and status reports. Provides technical guidance to customers by acting as trusted technical advisors for broad and complex issues with specific large, diverse, and complex customers. Responsibilities include providing technical leadership, acts as the point of contact for escalation and resolution for technical regarding application implementation in the IoT lab. Provides advanced technical support to developers, corporate customers and end users for complex products, including highly escalated issues. Experienced with application development space including desktop, mobile, headless + relevant UI/US technologies. Familiar with application development on Android and iOS a plus. Provides support via in person, collaborative teams, written correspondence, and electronic media. Act as technical lead and provide technical training, coaching, and mentoring to other developers, engineers customers and partners internal/external. Will provide consulting to internal or external customers. May research technical documents and feature lists. May develop developer programs and technical agendas to increase partner experience in lab.
Machine Learning & Analytics Engineer (1)
• Is Machine Learning (ML) and analytics development SME and is resident Lab Engineer/Consultant
• Owns analytics and Machine Learning space; using Microsoft, third party and open source tools
• Is Data Scientist - fluent with R / Python / ML on HDInsight and using open source tools
• Verse with key Industry data mining patterns and measures
• Familiar with complimentary / competitive technologies: Tableau, Watson, AWS QuickSight ...
• Hosts talks, events and hacks at Lab
• Strong communications and interacting with customer and partners to build their solution, trouble shoot roadblocks
Manages engineering disclosures and partnerships from internal teams and 3P platforms and tools
QUALIFICATION DETAILS: --This candidate will be working at a lab within Business Development. This position will entail a ton of customer facing and interacting with other lab team members.
--They will have a specific space that they own that is specific to their background.
--This person will need to understand all levels of the SDLC.
--Must be able to write, design, and understand code.
--Although this person will not be working on engineering team, they will act as the engineer of each area. Can reach out to engineering team with challenging questions that they need assistance on.
--Candidate must understand customers and be able to understand technical issues and solve them.
Will address technical issues, architecture, writing code and testing, work with prototypes and the equipment for the prototypes.
--Customer and partners (like Intel), will be working with this team to solve issues they may be having. The team will come up with solutions to solve these problems.
--Could also be doing an agenda of topics that need to get done during the week as well as initiating milestones; goals they want to accomplish.
--They might be helping to document the experience through a white paper and using those to help the next customer.
--Data background, large data, not just from database background (can be from statics and finance), tableau.
--5+ years of experience.
--communication, verbal, in person and in writing.
--articulate, confidence, honest, follow through, customer service.
What would you say are the TOP 3 must-have skills you’re looking for?
1). Azure Machine learning
2). Azure streaming analytics
3). R Python HDinsight
