AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
TechOps Lead
AI-powered document processing and analysis platform for financial institutions, offering automation, accuracy, and scalability.
Benefits:
Comprehensive health package (dental and vision)
5 Ocrolus Appreciation Days (reset days)
401K plan (Betterment)
Unlimited paid time off
Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership
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Software engineer for third-party integrations
AI-powered low-code test automation platform for web, mobile, API, accessibility, and performance testing. Scalable, flexible pricing, and comprehensive support.
Experience Requirements:
5+ years of experience building software in small, high-velocity, self-directed teams
Other Requirements:
You take ownership for the delivery and impact of your work throughout the SDLC, through design, build, test, deploy, maintenance, and support
You have experience working with US-based engineering teams
You are able to work online 9am to noon US-Eastern daily
You are an effective communicator; we are a small team, and you will be involved in every aspect of projects
You have strong competency in at least one–ideally both–of the Java programming language or Typescript/Node.js ecosystem
You have the capacity to learn other languages and frameworks, as necessary
You have experience with creation, deployment, and management of Docker containers
You have experience with the creation and maintenance of CI/CD pipelines
You are excited to learn new technologies and contribute wherever needed
Responsibilities:
Work as part of the mabl engineering team, focused on improving the integration between mabl’s low-code, AI-native test automation platform and third-party software systems
Upgrade and support existing integrations
Build new integrations with third-party software that includes, but is not limited to collaboration tools, test case management (TCM) systems, CI/CD platforms, and other test frameworks
Seek out and incorporate customer feedback continually
Resolve customer issue escalations by implementing code fixes or identifying workarounds
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Support Engineer - Tier 1
AI-powered low-code test automation platform for web, mobile, API, accessibility, and performance testing. Scalable, flexible pricing, and comprehensive support.
Experience Requirements:
3+ years of experience
Other Requirements:
Knowledge of QA/Automation testing
Understanding of mabl, databases, mobile, performance testing, and/or general test architecture is a plus
Proficient in the use of HTML, CSS, JavaScript, and Chrome dev tools
Knowledge of ticketing systems such as Salesforce and Jira
Troubleshooting web-based applications (The art of asking the right questions to arrive at a solution)
Customer-centric attitude, with strong communication skills and technical acumen
Deep passion for representing customers needs in product planning and design processes
Strong analytical skills, with a bias for using data to identify trends and opportunities
Interest in learning good test automation practices and patterns
Responsibilities:
Research, diagnose, troubleshoot and identify solutions to resolve customer issues by following standard procedures for triaging and escalating customer issues
Take ownership of customer issues reported and seeing problems through to resolution
Create and evolve support and customer success processes, tools, and technologies
Work cross functionally with other teams at mabl to improve the customer experience
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Client Success Manager (B2B SaaS)
AI-powered startup scouting platform that combines AI and human expertise to deliver curated lists of startups within 48 hours.
Benefits:
Be part of a forward-thinking company with an inspiring mission to connect innovation with industrial power for global transformation.
Enjoy a fun work environment in Brussels, surrounded by passionate professionals committed to making an impact.
Engage with top-tier corporate clients from many different industries around the world, expanding your network and expertise
Experience Requirements:
Proven experience or a strong interest in client relationship management, preferably in B2B and tech.
Strong communication and interpersonal skills, with the ability to connect with stakeholders at various levels and from various industries.
Analytical mindset with the capacity to understand complex client needs and translate them into actionable plans.
Business literacy and curiosity: a broad understanding of various sectors or the ability to quickly grasp new industries.
Fluency in English reflecting our international client base Detail-oriented and rigorous: thoroughly prepare, fully understand client requirements, and deliver accurately and on time. Humour: we take the sense of humour very seriously
Other Requirements:
Experience with HubSpot and skills in presentation design are a plus
Responsibilities:
Drive client engagement by maintaining and strengthening relationships with corporate clients, ensuring their success and satisfaction with Novable's scouting solutions.
Collaborate closely with sales and product teams to align client goals with Novable’s offerings and achieve long-term value creation for our partners.
Perform client onboarding, conduct regular client meetings, and lead business reviews to ensure satisfaction, drive platform usage, detect upsell and cross-sell opportunities, and collect customer feedback.
Utilize feedback loops to suggest platform enhancements, contributing to ongoing client satisfaction and product development.
Control and validate product releases before delivery, ensuring quality and alignment with client needs, and report any bugs or issues to the relevant teams for resolution. Deliver comprehensive reports and presentations to both internal and external stakeholders, showcasing the impact of Novable’s solutions on client objectives. Co-manage a global team of scouting experts, overseeing daily interactions and the execution of scouting campaigns and innovation consulting projects
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Marketing Manager
AI-powered startup scouting platform that combines AI and human expertise to deliver curated lists of startups within 48 hours.
Experience Requirements:
2-4 years of experience in a similar role.
Fluent in written and spoken English, with excellent grammar and communication skills.
Creative thinker with a data-driven mindset.
Excellent organisational skills and the ability to manage multiple projects simultaneously.
Copywriting and design skills (experience with tools like WordPress and Canva).
Other Requirements:
Hands-on experience with CRM tools (HubSpot) and email marketing platforms is a strong plus
Responsibilities:
Develop engaging and on-brand content for the website, blogs, and other digital platforms.
Create visuals, edit videos, and multimedia content.
Plan, schedule, and manage content across all social media channels (LinkedIn,Facebook, and Twitter).
Monitor engagement metrics and implement strategies to boost visibility and interaction.
Stay updated with trends and leverage them to enhance brand presence. Plan, execute, and optimise paid campaigns on platforms such as Google Ads and LinkedIn Campaign Navigator. Conduct keyword research, A/B testing, and audience targeting to maximise ad performance. Monitor budgets, track ROI, and generate regular performance reports. Plan and coordinate the preparation of events (trade shows, webinars, and industry conferences). Develop pre- and post-event marketing strategies to maximise lead generation. Manage and optimise CRM tools for lead nurturing and qualification. Design and execute outbound campaigns to engage prospects and drive conversions across multiple channels. Analyse campaign performance and apply insights for continuous improvement
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B2B Marketing: growth hacking (internship)
AI-powered startup scouting platform that combines AI and human expertise to deliver curated lists of startups within 48 hours.
Experience Requirements:
Keen interest in digital selling, conversion, funnels, measures, with a data-driven mindset.
Knowledge of tools such as HubSpot, Lusha, Apollo, LinkedIn Sales Navigator, Google Analytics, etc. will be a strong plus.
Open-minded, eager to learn and try out new things, while also being autonomous.
Fun to work with! We take the sense of humour very seriously.
Fluent in English (C1), any other language is a plus
Other Requirements:
We'll only consider candidates located in Belgium who can regularly be in Brussels (2 days at the office is a must).
Responsibilities:
Execute our growth hacking strategy: feed the sales team by building lists of leads through social engagement, SEO hacks, and HubSpot management
Engage in outbound activities: Design, set up, monitor and refine email and social media outbound campaigns
Use data & analytics to support decision-making and growth strategies.
Creation of landing pages
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Data Engineering Manager
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Education Requirements:
B.Tech/M.Tech in Computer Science or related fields
Experience Requirements:
7+ years’ Experience preferred
4+ years of people management experience
2+ years of recent full-stack development experience
Other Requirements:
Extensive experience running teams in an agile environment
Deep experience with the full software development life cycle
AWS Aurora, Kafka, and MWAA experience required
Proficient with mainstream fullstack technologies such as Java, Spring boot, RDBMS, NoSQL, ElasticSearch, Node.js, JS frameworks (React, Vue.js etc)
Strong experience with AWS cloud technologies
Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions
Organization skills – demonstrated ability to work independently to make complex investigations
Working experience on asynchronous messaging systems like Kafka
Strong ability in architectural design and discussion
Proven ability to manage multiple, competing for priorities simultaneously
Excellent communication skills to convey technical insights to a non-technical audience
Responsibilities:
Planning, design and execution of SOA backend platforms. Mostly around REST based Web
Build frameworks using JAVA (Spark,Spring, ORM)
High level and Low level design of the highly scalable components
Track defects and works with business owners and users to triage bugs and manage a backlog
Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security
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Data Scientist - I
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Linguistics, or a related field
Experience Requirements:
2+ years of experience in Data Science, focusing on NLP, prompt engineering, or deep learning
Other Requirements:
Proficiency in Python and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face)
Strong understanding of NLP techniques and machine learning principles, including sentiment analysis, word embedding, text classification, and Transformer models (e.g., GPT, BERT)
Experience with developing, optimizing, and evaluating prompts to improve AI model responses
Experience with large language models (e.g., GPT-4, Llama3) and their applications in customer service or other domains
Knowledge of data visualization tools and techniques to communicate complex data insights effectively
Background in linguistics or computational linguistics
Experience with agile development methodologies and big data platforms like Hadoop or Spark
Excellent analytical, problem-solving, and communication skills
Ability to work collaboratively in a team environment, manage multiple projects simultaneously, and document complex processes effectively
Self-motivated with a passion for continuous learning and innovation in AI
Responsibilities:
Prompt Engineering and Development
Model Design and Implementation
Benchmarking and Evaluation
Collaboration and Communication
Documentation and Research
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Data Scientist - I
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Education Requirements:
Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field
Experience Requirements:
2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models
Other Requirements:
Strong programming skills in Python or other relevant programming languages
Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras
Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.
Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques
Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.
Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies
Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation
Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Optional: Experience with big data platforms such as Hadoop or Spark
Responsibilities:
Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements
Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns etc.
Develop and improve existing models to increase accuracy, efficiency, and effectiveness
Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them
Communicate findings and insights to stakeholders in a clear and concise manner
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Data Scientist - II
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Experience Requirements:
3+ years of experience as a data scientist, preferably in a product development environment, with a focus on building NLP/LLMs or Deep Learning models
Other Requirements:
Strong programming skills in Python or other relevant programming languages
Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Deep understanding of statistical analysis, probability theory, and experimental design
Experience with LLMs, deep learning, NLP and chatbot development
Excellent communication skills, including the ability to explain complex concepts to technical and non-technical stakeholders
Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.
Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques
Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.
Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies
Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation
Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development
Strong problem-solving and analytical skills
Optional: Experience with large-scale data processing technologies (e.g., Hadoop, Spark) and distributed computing systems
Responsibilities:
Design, develop and deploy machine learning models and algorithms for NLP/LLMs or deep learning models at scale to solve complex business problems
Work with large datasets, perform data analysis and develop data pipelines to support model development
Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services
Conduct experiments, test hypotheses, and perform statistical analysis to validate models and drive improvements
Communicate findings and insights to stakeholders in a clear and concise manner
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Devops Engineer - II
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Experience Requirements:
At least 2 years in DevOps or a related field
Other Requirements:
Kubernetes (RBAC, cluster administration, Helm)
CI/CD tools such as Jenkins, ArgoCD, or Spinnaker
Service mesh solutions like Istio, Linkerd, or similar
Proficiency in scripting languages (Python, Ruby, Golang)
Familiarity with cloud platforms (AWS, GCP, Azure)
Strong understanding of system design, networking, and infrastructure management
Knowledge and experience in chaos engineering tools like Chaos Monkey, LitmusChaos, or Gremlin
Responsibilities:
Kubernetes Management
CI/CD Pipeline Development
Helm Templates
Service Mesh Implementation
Scripting and Automation
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L2 Support Engineer
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Experience Requirements:
5-6 years of experience in both administrative roles and technical support, specializing in Zendesk and API integrations
Other Requirements:
Proficient in Java and HTML, enhancing technical capabilities for comprehensive support
Proven track record of positively impacting organizations through the development and implementation of standard operating practices
Familiarity with start-up environments, demonstrating adaptability to dynamic work settings
Strong ability to navigate and excel in fast-paced and evolving work environments, with a specific background in technical support roles
Deep understanding of tools like Postman/Datadog/Workato
Good knowledge of JavaScript with the ability to identify code-level issues and rectify
Ability to train New Hires in the team on Process, Product and Technology
Effectively mentors multiple L1s in the context of support
Responsibilities:
In Depth understanding of Netomi systems - AI Studio, Backend Architecture, Agent Desk Integrations
Understanding of business requirements for our different customers and how they can be solved through AI Studio
Participate in the software development lifecycle to learn the new system/feature
Responsible for resolving the ticket queue through Zendesk
Coordinating and leading troubleshooting through incident management
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Product Manager
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Education Requirements:
Bachelor’s degree in Business, Computer Science, Engineering, or a related field. MBA is a plus
Experience Requirements:
4-6 years of product management experience
Other Requirements:
Strong experience working with large enterprise clients to manage complex requirements and deliver tailored solutions
Proven ability to lead cross-functional teams, driving LLM-powered products from ideation to delivery
Strong project management skills, ideally with experience in agile development
Excellent communication and presentation skills, with the ability to articulate technical concepts clearly and influence stakeholders
Exceptional analytical and problem-solving skills, with a passion for delivering innovation
Experience with AI, machine learning, or chatbot technologies
Background in innovation management, with a proven passion for developing and experimenting with new ideas
Ability to manage multiple projects simultaneously in a fast-paced environment
Deep knowledge of Large Language Models (LLMs), natural language processing (NLP), and related AI technologies
Hands-on experience with LLM platforms (e.g., OpenAI, GPT, BERT) and familiarity with applying these technologies in enterprise solutions
Strong understanding of SaaS platforms, with an emphasis on AI-driven product enhancements
Responsibilities:
Client Collaboration
Product Strategy
Feature Development (LLMs)
Internal Projects
Project Management
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SDE II - Frontend
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Experience Requirements:
3+ years of demonstrated experience in frontend development
Other Requirements:
Professional experience with VueJS or another modern JavaScript web framework (React, Angular, etc)
Experience with writing automated tests (e.g. Jest, Karma, Jasmine, Mocha)
Experience using Git, Github, JIRA in a professional/workplace environment
A solid understanding of core web and browser concepts (e.g. how the browser parses and constructs a web page)
A solid understanding of semantic HTML, CSS, and core JavaScript concepts
Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational problems and propose thorough iterative solutions
Experience with performance and optimisation problems and a demonstrated ability to both diagnose and prevent these problems
Comfort working in a highly agile software development process
Positive and solution-oriented mindset
Effective communication skills: Regularly achieve consensus with peers, collaboration, and clear status updates
An inclination towards communication, inclusion, and visibility
Self-motivated and self-managing efficiency, with great organisational skills
Demonstrated ability to work closely with other parts of the organisation
Responsibilities:
Ownership of key UI modules
Own front-end build and test systems
Ensure the technical feasibility of UI/UX designs and implement them
Translating designs and wireframes into high-quality code
Building reusable components and front-end libraries for future use
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Senior ML Data Analyst
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Experience Requirements:
Proven 5+ years of experience as an AI Analyst or similar role with a focus on data analytics and AI integration
Other Requirements:
Experience in developing and deploying generative AI models is an advantage
Good understanding of Prompt writing and evaluation
Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch)
Strong understanding of machine learning algorithms and natural language processing
Solid experience with SQL for data manipulation and analysis
Strong analytical and problem-solving abilities to derive actionable insights from complex datasets
Excellent communication skills to translate technical concepts for varied audiences
Proven ability to work effectively in cross-functional teams, promoting innovation and continuous improvement
Capability to thrive in a fast-paced, dynamic environment while proactively identifying AI-driven improvements in chatbot functionalities
Responsibilities:
Requirement Analysis
Data Exploration and Analysis
Feasibility Assessment
Model Selection and Design
Implementation and Deployment
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Software Engineer In Test III
Netomi's AI-powered platform automates customer service, increases efficiency, and improves customer satisfaction by integrating seamlessly with existing systems.
Education Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experience Requirements:
Proven experience (7-9 years) as a Software Development Engineer in Test (SDET) or similar role, with a strong focus on test automation using Java
Other Requirements:
Proficiency in Java programming language and experience with Java-based automation frameworks such as JUnit, TestNG, Selenium WebDriver, and Rest-Assured
Minimum 2-3 years exp in performance testing and perf tools, such as JMeter, Locust, or k6, is required
Solid understanding of software testing principles, methodologies, and best practices
Practical experience in configuring and utilizing continuous integration/continuous deployment (CI/CD) pipelines and tools such as Jenkins
Experience with Agile development methodologies and working in Agile teams
Excellent problem-solving skills and attention to detail
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
Familiarity with security testing using open-source tools is an added advantage
Responsibilities:
Lead the design, development, and implementation of automated test frameworks using Java and related technologies
Create robust, scalable, and maintainable automated test suites to validate the functionality, performance, and reliability of our software products
Collaborate with software engineers to ensure testability of code and incorporate automated tests into the continuous integration/continuous deployment (CI/CD) pipeline
Mentor and provide technical guidance to junior members of the testing team, fostering a culture of quality and excellence
Participate in requirements analysis and contribute to the creation of comprehensive test plans and test cases
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Lead - Public Affairs - EU
Open and customizable generative AI models for developers and businesses.
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Machine Learning Engineer
Consulting firm leveraging AI to enhance business solutions and workforce capabilities.
Benefits:
Competitive salary
Full healthcare benefits
MacBook Pro and IT budget
Experienced colleagues
Team building events
Startup environment
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