AI Jobs

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Customer Success Experience

• L1 support experience

Responsibilities:

• Client Communication: Build strong relationships with B2B clients, ensuring their success and satisfaction

• Technical Support: Provide Level 1 support, resolving customer issues efficiently

• CRO Enthusiasm: Help enhance clients’ online performance with conversion optimization insights

• Sales Skills: Spot upsell and cross-sell opportunities to drive business growth

Benefits:

• Training budget

• Medicover-White card

• Glasses

• SZÉP card

• ESOP Phone support Awsomeness awards Flexible work hours Win a StarCraft game & get a MacBook

Experience Requirements:

• Marketing experience

Responsibilities:

• Implement CRO-focused ecommerce campaigns using OptiMonk to enhance website performance and increase conversion rates for our clients Execute A/B and multivariate tests to optimize conversion funnels Monitor and analyze website performance using web analytics tools Generate reports and present findings to clients on the impact of our optimization efforts Work closely with marketing, design, and development teams to implement optimization strategies Provide data-driven recommendations to continuously improve conversion rates

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.)

• Understanding of cloud platforms like GCP and infrastructure-as-code tools like Terraform and MLOps platforms like Kubeflow.

Responsibilities:

• Build and scale robust AI/ML cloud infrastructure for training, validation, and inference

• Create a smooth, efficient MLOps flow for staging, deploying and monitoring AI pipelines

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field or equivalent applied research experience.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.).

• Expertise and hands on experience with generative AI approaches: SFT, RAG, DPO, RLHF, etc.

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

Responsibilities:

• Develop cutting edge generative AI approaches for challenging 3D data types

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Deploy, monitor and iterate!

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Bachelors/Masters in Computer Science, or equivalent practical experience

Experience Requirements:

• Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data

• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience

• 3 years of experience with Python, Golang, or other equivalent languages

Responsibilities:

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid

• Explore and de-risk novel technologies to extract data from unlikely sources

• Lead the design and implementation of ML data platforms and service frameworks

• Design and implement robust, automated, production-level software using horizontally scalable components

• Work effectively with cross-functional teams of engineers, product managers, and domain experts

Benefits:

• Competitive salary

• equity

• benefits

Responsibilities:

• Develop key features for the Diagon Marketplace, focusing on both front-end and back-end development.

• Collaborate with cross-functional teams, including product, design, and operations, to deliver user-centric solutions.

• Optimize and integrate AI-powered tools to improve product listings and marketplace efficiency.

• Take ownership of technical decisions, balancing performance, usability, and long-term maintainability.

• Work across the stack, from interactive UI components (React/Next.js) to server-side logic (Server Actions, PostgreSQL, Prisma).

Education Requirements:

• Bachelor's degree in Supply Chain Management, Business Administration, Engineering, or related field.

Experience Requirements:

• Proven experience in capital equipment procurement within a manufacturing environment.

Responsibilities:

• Manage the procurement process from initial purchase requisition to delivery and installation.

• Identify, evaluate, and select suppliers for capital equipment purchases.

• Negotiate pricing, terms, & contracts to ensure cost-effectiveness & quality standards.

• Collaborate with all stakeholders to determine equipment specifications and requirements.

Experience Requirements:

• 3 years of experience/knowledge in device modeling and TCAD simulation

Other Requirements:

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

• Willingness to learn new technologies and tools, and apply them quickly

• Knowledge in Verilog-A and Spectre simulations

• Semiconductor process/fabrication knowledge

• Process simulation in TCAD tools

Responsibilities:

• TCAD simulation

• Setting up Verilog-A & Spectre models, and simulation of these

• Simplification of mathematical device models for faster simulation

• Process engineering to fabricate these devices in R&D and volume fabs

Benefits:

• Health insurance

• Career growth opportunities

• Access to training, events, and conferences

• Free coffee

• Arcade machines

Education Requirements:

• Bachelor’s degree in Computer Science, Business, Engineering, or equivalent experience.

Experience Requirements:

• 5+ years in pre-sales, business development, or similar roles in tech.

• Technical expertise in at least one of Visor.ai’s core areas: AI, data science, software engineering.

• Strong knowledge of cloud contact centers and automation software.

• Experience with API integrations, web services, and AWS Cloud.

Other Requirements:

• Native in Portuguese and fluent in English & Spanish.

Responsibilities:

• Define & optimize the pre-sales process for efficiency and accuracy.

• Understand client needs, identify potential challenges, and propose solutions.

• Collaborate with engineering teams to tailor products to customer requirements.

• Provide technical expertise and support in demonstrations of new products.

• Assist in proposal preparation, aligning solutions with client needs.

Experience Requirements:

• 경력 3~8년

Responsibilities:

• 제품 기능 요구사항 기반 테스트 시나리오 작성 및 수행

• 자동화 테스트 도구를 활용한 반복 검증 프로세스 설계

• 다국어(Localization) 기능 테스트

• 의료 영상 기반 UI 및 워크플로우에 대한 검증

• 테스트 결과 문서화 및 결함 리포팅

Experience Requirements:

• 3년 이상의 SW 개발 경력을 갖추신 분

• 컴퓨터 공학 전공자 혹은 이에 준하는 이론 지식을 갖추신 분

Responsibilities:

• AI Solution 을 활용한 Inference 서비스 개발

• PACS 연동 및 Gateway 개발

• Worklist GUI 개발

Experience Requirements:

• 경력 0~3년

Responsibilities:

• 기술 문제 발생 시 신속한 분석 및 해결

• 의료기관 및 파트너와의 기술 요구사항 조율 및 협업

• 사용자 피드백 수집 및 분석을 통한 제품 개선

• DICOM 프로토콜을 활용한 PACS 연동 등 설치 프로세스 설계 및 최적화

• 기술 문서 작성 및 관리 (예: 설치 매뉴얼, H/W & S/W 스펙, DICOM conformance statement 등)

Experience Requirements:

• 3년 미만 Sales Operation 또는 Inside Sales 경력

Responsibilities:

• 영업 데이터 관리 및 분석

• 영업 프로세스 최적화

• 계약 및 자산관리 지원

Benefits:

• Competitive pay with benefits: employment contract or B2B co-operation

• Fully remote working environment

• A continuous improvement environment, with 10% of your time dedicated to self-development and professional growth activities

• Exceptional conditions for growth: regular brown-bag meetings, workshops, hackathons, trainings and conferences (with a dedicated budget)

• Unique company culture based on mutual trust, honest feedback and autonomy

Responsibilities:

• primarily work on designing and building integrations with EHR systems for the US market

• collaborate with teammates on integration setups

• work closely with external providers and customers to integrate their systems smoothly

Education Requirements:

• Bachelor's or Master's degree in a relevant field (e.g., Environmental Science, Computer Science, Data Science, Engineering, or related field).

Experience Requirements:

• Proven experience in a solutions architect, technical sales, and/or technical account management roles in enterprise software companies (AI, geospatial, data infrastructure preferred).

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

Responsibilities:

• Lead Mechanical Engineering workstreams for electromechanical sensor integration onto wearable hardware, ensuring all mechanical aspects of development, performance and reliability are met ensuring program success.

• Work across a full technology and product development cycle to deliver robust mechanical designs from concept to production.

• Partner with cross-functional researchers and engineers develop wearable architectures for AR/VR interaction.

• Engage with Contract Manufacturers and Joint Development Manufacturers to produce high-quality devices meeting yield and specification targets.

Responsibilities:

• Contribute to the development of complex subsystems, own the development of moderately complex subsystems, or own the development of simple systems under the direction of a technical lead

• Design schematics, evaluate components, direct board layout, conduct design reviews and draft design documentations

• Manage bring up and debug, support manufacturing and assembly build

• Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, sensors, haptics, firmware and software

• Evaluate vendor reference design and transform these into custom solutions which meet product and form factor constraints

Experience Requirements:

• 7+ years of proven experience with high-quality infrastructure solutions in a collaborative environment including coding standards, code reviews, source control management, build processes, testing, and operations experience

• 3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)

• Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production

• Expert proficiency in Kubernetes architecture and operations including resource management scheduling, auto-scaling and cluster networking

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

Responsibilities:

• Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities

• Work closely with internal application teams to improve their Kubernetes onboarding experience

• Work with app teams to understand their potential challenges and help them choose the best way to architect their systems on Kubernetes

• Design and implement new platform features to meet business and internal team goals

• Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and identify and troubleshoot any issues that may arise

Experience Requirements:

• 5-10 years of experience in the following areas: Channel leadership and/or management, Channel development, and Enterprise Sales.

Responsibilities:

• Overall responsibility for leading the regional channel execution across cloud, technology ISVs, regional systems integrators, and AI services consulting firms in the DataRobot partner ecosystem.

• Establish DataRobot as the premier “top of mind” AI and Machine Learning software partner by providing a first-class partner experience, demonstrated by measurable joint pipeline and revenue.

• Work closely with DataRobot sales, marketing, business development leadership and customer success leadership to align Go-To-Market (GTM) activities in specific geographies and industries.

• Work with DataRobot partners to develop and tactically implement GTM plans, including lead generation activities, sales motions, partner training/education, and the development of sales and services offerings.

• Provide consistent partner management to ensure that our partners develop their sales, pre-sales, and delivery capabilities according to DataRobot’s strategy.