Javascript állások VI. kerületben (ai és automatizáció)

• Machine learning és computer vision megoldások fejlesztése járműfelismerési és közlekedési alkalmazásokhoz
• Modellek és adatfeldolgozási folyamatok tervezése, implementálása, tanítása és kiértékelése

• Working on the next generation vehicle's self-driving software
• Development of the internal data distribution and execution framework
• Integration of third-party frameworks
• Sensor data recording related tasks
• Development of human-machine interfaces and data visualization tools

• Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from product teams
• Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Architect and scale high-performance distributed AI infrastructure on-prem or in the cloud
• Integrate NVIDIA technology into HPC architectures to support scientific and engineering applications
• Champion Deep Learning and Infrastructure among the NVIDIA technical community

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Building scalable solutions using Agile methodologies
• Co-creating products with client teams

• Az Agentic AI Platform vállalati integrációs rétegének kialakítása és továbbfejlesztése.
• MCP-szerverek és connectorok fejlesztése és üzemeltetése, amelyek szabványosított és szabályozott hozzáférést biztosítanak az AI-agentek számára a vállalati rendszerekhez és eszközökhöz.

• Design and implement data models aligned with industry best practices
• Build and optimize scalable data warehousing and lakehouse solutions and ensure data integrity end-to-end
• Create and own robust ELT pipelines connecting multiple internal and external data sources

• Embedding in the daily life of up to three engineering teams: Customer Platform and Scoring
• Ensuring technical design alignment with SEON's architectural best-practices
• Ensuring security, scalability, and compliance in technical designs

• Compiler development for custom NPU
• Performance estimator development for runtime execution of different Neural Network workloads
• GPU-accelerated, bit-accurate, high-performance arithmetic simulation of the aiWare NPU

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using tools such as Terraform, AWS CloudFormation, or Pulumi

• Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications
• Architecting and implementing key abstractions bridging software engineering and DevOps
• Proactively identifying pain points in the platform and proposing elegant solutions

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Risk classification and residual risk handoff
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation driving
• Design and implementation of compensating controls
• False-positive adjudication with written justification

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions currently deployed in products

Munkakörhöz tartozó feladatok ellátása....