Staff Machine Learning Deployment Engineer Job Vacancy in GE Digital Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : GE Digital
Location : Bengaluru, Karnataka
Position :

Job Description : Job Description Summary
The Staff Machine Learning Deployment Engineer will be responsible for implementing and delivering re-usable analytics solutions on cloud in the area for physical-digital technologies to implement inspection, BOT, deep learning and other AI-based application in energy industry such as Thermal Power, Renewables, or Power Transmission and Distribution areas to grow AI-driven services for industrial applications. Use Lean principals, Digital technologies such as cloud/AI to implement, operationalize and scale analytics applications.
Job Description
Roles and ResponsibilitiesYou will work with a global set of experts in GE Digital, Gas Power, Renewable businesses to implement AI-Based algorithms for inspecting GE equipment such as Wind turbine blades, implement remaining life prediction algorithms, develop clustering algorithms for developing data-based predictive signatures.Leverage standard set of analytics & algorithms, cloud software technologies, data engineering practices to implement AI-based algorithms, integrate them into broader business applications, and scale them to thousands of users.You will engage key technical & subject matter experts (SMEs) across the business for knowledge capture into the solutions. You will also provide core product requirements to Product Management, Software Engineering and UX Design teams. You will mentor other engineers in analytics development process and methods.Work on a team of Analytics Engineers and Data Scientists to implement and operationalize algorithm on Cloud. Implement API, services to connect data to algorithm, running of algorithms, sotring of results and display of results in repeatable and reusable software modules.Write Analytics Functional Documentation for the Field Services teams, gather end-user and customer requirements and support product engineering in development of new generations ofsoftware solutionsDevelop a trusted advocate relationship with internal and external customer constituents.Drive repeatability in solution component architectures and improve speed of development and implementation via using of Lean principles. Foster an environment that encourages innovation, creative risk taking, speed, agility designing in analytics development and implementation.
Technical Expertise:
Demonstrated ability to work within a small, collaborative project teamAttention to detail with a willingness to follow a rigorous quality process.Strong oral and written communication skills.Aptitude for the use of complex software applications, abstract concepts, use of dataUnderstanding of industrial equipment and process operations, especially in the areas of maintenance and process controlMultiple years of Experience designing and implementing analyticsStrong organizational and project management skillsStrong analytical and problem resolution skillsClear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phasesProven experience designing, deploying or operating applications / infrastructure in a public or private cloud environmentKnowledge and experience using Analytics Software Packages like Matlab, and python and cloud based analytics services such as AWS
Required Qualifications:
Bachelor’s Degree Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) + with 8 years of experience minimum
Strong knowledge of python-based analytic development is required.Experience in implementing and scaling of analytics on cloud platform such as AWS is required.Hands-on experience in docker, web services (eg, REST, SOAP, WSDL etc.), using Apache Commons Suite & Maven, SQL Database such as Oracle MySQL, PostgreSQL etc. is required.
Desired Qualifications:
Master’s degree is preferred.Strong knowledge and understanding of industrial equipment, their operations, reliability, failure is highly desired.Experience with Big Data / Hadoop and NoSQL Database is a big plus
Bachelor’s Degree Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) + with 8 years of experience minimum
Strong knowledge of python-based analytic development is required.Experience in implementing and scaling of analytics on cloud platform such as AWS is required.Hands-on experience in docker, web services (eg, REST, SOAP, WSDL etc.), using Apache Commons Suite & Maven, SQL Database such as Oracle MySQL, PostgreSQL etc. is required.
Business Acumen:
Strong Customer mindset and ability to understand commercial and product strategyBridging between Research and Solution designDemonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industries that GE Digital operates inExperience working effectively on multiple outcome-focused commercial solutions simultaneouslyAbility to synthesize broad-based user requirements into a unified plan to meet key business objectives
Leadership:
Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analytics skills and best practices by actively incorporating input from various sourcesStrong analytical and strong problem solving skills – effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolveContinuous improvement oriented – actively generates process improvements; champions and drives change initiatives
Personal Attributes:
Emotional Intelligence, ability to influence up and out and the ability to work independentlyMust be a team player with a strong desire to winHighly organized and efficient; able to balance competing priorities and execute accordinglyStrong oral and written communication skills.
Additional Information
Relocation Assistance Provided: Yes

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