PRINCIPAL MACHINE LEARNING INFRASTRUCTURE ENGINEERS-AEROSPACE AND DEFENSE

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE(ML PLATFORM AND OPERATIONS) -ENGINEER:
Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. Predicts trends in the aerospace and government defense entities, predicts trends in political shifts and the ability to influence actual effect changes in government policies through innovation.
JOB DESCRIPTION:
As a newly created role for a team of four- The oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. Machine learning development system-A specialize infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed training and hyper parameter optimization techniques to perform deep learning across GPU clusters without rewriting code or restructuring infrastructure. Areas to focus on will include; A custom build internal ML software infrastructure(MLmodeltrainingplatformforlargeprocurement ,enablingAIandworkloadstorunonthesame infrastructure). State-of-the art hyper parameter optimization that’s up to 100x faster than existing approaches. Thisisa software only development project for MULTIPLE CROSS DOMAIN PLATFORMS- This is a solution level based ML development training- Hardware, Software,validated and Pre-configured solution- Performant OUT OF THE ELECTROMAGNETIC SPECTRUM, RADIO SPECTRUM, FROMCAMPAIGN PLANNING AND EXECUTION, WHERE DECISIONS AND EXECUTIONS HAVE THEIR IMMEDIATE IMPACT OUTCOME OF ENGAGEMENT IN REAL-TIME In conformity toJOINT ALL-DOMAIN AND ELECTROMAGNETIC SPECTRUM OPERATIONS APPROACH, JAI (JOINT ARTIFICIAL INTELLIGENCE APPROACH), JADC2 (JOINT ALL-DOMAIN COMMAND AND CONTROL) APPROACH AND JADC2 ARCHITECTURE.
WHAT ARE WE LOOKING FOR:
Extensive level experience in ML development in PYTORCH systems,kubernetes, and TensorFlow
A proven record in AI and Machine learning Performant focused on end-to-end solution integration with existing infrastructure.
A leading developer Focus on transparent model reporting with utilization of AI infrastructure and ML team collaboration.
Academic leadership in Transformative ML-powered applications workflows.
Experience deploying ML models to production environments
Experience with MLOps infrastructure for robust deployment and performance
Experience in high performance integrated systems management for view of metrics, benchmark performance and real-time alerts management .A customized telemetry and alerts; Automatic reaction to events; Power management, system health checks , open source software support-
Interconnect software; telemetry software updates.
Extensive level experience in (MULTI INSTANCE) Integrated fastest for AI optimized.
Hands on big data analytics, advanced analytics, machine learning development system roadmap.
Highly skilled in data acquisition and preparation
Proficient with model deployment and inference
Executive level experience in model development and training
PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilize equipment necessary to perform the job, and move about the office.
ENVIRONMENT: This position will operate in the following areas of the organization regulatory engineering division”MULTIDOMAIN DEFENCE DOCK:
MULTIDOMAIN DEFENCE DOCK“ Standard engineering lab environment ”
Employees must be legally authorized to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for
this position.
KEY REQUIREMENTS-
Professional in ML Operationalization, including workflow/model management, machine learning development environment (MLDE) management Node, MLOps flow.
20+ years of experience in professional software developments
Strong programming skills
Great skills in Data Engineering and big data technologies
Highly Skilled with object-orientation and software development best practice.
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