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consultant generative ai engineer

Epiic

<div><div><div><div>Maximale doorgroei tot &euro; 5179 per maand 32 - 40 uur per week Amsterdam Hbo, Wo
</div><div></div><div><div><div><div>
Enthousiast? Reageert vandaag nog</div></div></div></div></div></div><div></div>
<div><div><div>Maximale doorgroei tot &euro; 5179 per maand 32 - 40 uur per week Amsterdam Hbo, Wo
</div><div></div><div><div><div><div>
Enthousiast? Reageert vandaag nog</div></div></div></div></div></div><div></div>
<div><p>
Innovatie is de drijvende kracht achter voortuitgang. En technologie is een krachtig hulpmiddel om voor positieve veranderingen te zorgen. Op beide vlakken maak jij in deze combi-functie het verschil. Als consultant pak je de verantwoordelijkheid voor de subsidieaanvragen bij innovatietrajecten van onze klanten. En als generative AI engineer ontwikkel je een AI-tool die het subsidieaanvraagproces slimmer, sneller en eenvoudiger maakt. Versterk jij ons team in Amsterdam?</p></div>
<div><div><h2 class="jobSectionHeader"><b>
Wie is Epiic?</b></h2><p>
Bij Epiic maken we de dromen van ondernemers waar. We helpen bedrijven door heel Nederland om te groeien en te vernieuwen. Niet alleen met subsidieadvies, maar ook met financiering, business development en slimme go-to-marketstrategie&euml;n. We zijn een zelfstandige dochter van aaff en hebben &eacute;&eacute;n doel voor ogen: innovaties vertalen naar succesvolle projecten.</p></div></div>
<div><p>
Werkzaamheden</p><div><h2 class="jobSectionHeader"><b>
Wat ga je doen als Generative AI engineer in Amsterdam?</b></h2><p>
Samen met een hecht, enthousiast team van consultants werk je aan gedegen advies voor onze klanten. Je duikt in complexe innovatievraagstukken, waarbij je niet alleen cijfers en technologie&euml;n analyseert, maar ook &eacute;cht luistert naar de ondernemers. Of het nu een jonge startup is of een gevestigde ondernemer, jij begrijpt de uitdagingen en behoeften van de klant. Daarnaast werk je aan een innovatieve toepassing die met kunstmatige intelligentie subsidieaanvragen naar een hoger niveau tilt. Voor jou is een sleutelrol weggelegd bij het ontwikkelen en toepassen van AI-modellen. De oplossingen waaraan je werkt, hebben directe impact op onze klanten.<br>
<br>
</p><h2 class="jobSectionHeader"><b>Je belangrijkste verantwoordelijkheden zijn:</b></h2><ul><li>
meedenken met en adviseren van onze klanten over nationale en Europese subsidies om hun plannen te realiseren;</li><li>
schrijven van subsidieaanvragen en opstellen van rapportages en projectvoorstellen;</li><li>
ontwerpen en implementeren van AI-oplossingen gebaseerd op large language models (LLM&rsquo;s);</li><li>
verbeteren van de kwaliteit en nauwkeurigheid van tekstmodellen.</li></ul></div></div><div><br>
</div>
<div><p>Fijn werk, fijne voorwaarden</p><div><h2 class="jobSectionHeader"><b>
Wat krijg je van ons?</b></h2><ul><li>
Salaris: maximale doorgroei binnen deze functie tot &euro; 5179. Startinschaling vindt plaats op basis van relevante werkervaring.</li><li>
Keuzevrijheid in verlof: jij bepaalt hoeveel vrije dagen je opneemt, tot 38 per jaar. Kies uit regulier verlof, het aaff-budget of extra dagen via je salaris. Wat je van het aaff-budget niet gebruikt, keren we uit.</li><li>
Ruimte om te leren tijdens werktijd: via onze aaff academie of een externe opleiding.</li><li>
Duidelijk groeipad: met volop mogelijkheden om je te specialiseren of door te stromen.</li><li>
Duurzaam onderweg: &euro; 0,30 per auto-km voor woon-werkritten, &euro; 0,40 (&euro; 0,23 netto) per fiets-/wandelkm. Daarbovenop een volledige ov-vergoeding of &ndash; bij meer dan 7500 zakelijke km per jaar &ndash; een elektrische leaseauto of mobiliteitsbudget. Bij elektrisch rijden ontvang je &euro; 0,40 per km.</li><li>
Vergoeding voor thuiswerken: &euro; 2,45 per thuiswerkdag &eacute;n &euro; 40 netto internetvergoeding per maand.</li><li>
Thuiswerkbudget van &euro; 550: om je werkplek thuis prettig en ergonomisch in te richten.</li><li>
Jaarlijks &euro; 200 vitaliteitsbudget: voor jouw mentale en fysieke gezondheid &eacute;n altijd toegang tot het online platform OpenUp.</li><li>
Flexibel verlof sparen: voor een sabbatical, langere reis of tijd voor jezelf.</li><li>
Feestdagen omruilen: kies twee dagen die passen bij jouw religie of cultuur.</li><li>
Laptop en telefoon: alles wat je nodig hebt om jouw werk goed te doen.</li></ul></div></div>
<div><p>
Jij en je talenten</p><div><h2 class="jobSectionHeader"><b>
Dit breng jij mee</b></h2><ul><li>
Affiniteit en ervaring: affiniteit met AI en/of Data Engineering en minstens twee jaar relevante ervaring.</li><li>
Skills: uiteraard ben je digitaal vaardig en maak je je nieuwe systemen snel eigen. Daarnaast beschik je over sterk begrijpend leesvermogen en verwerk je informatie snel en nauwkeurig. Ook communiceer je helder en overtuigend, zowel mondeling als schriftelijk.</li><li>
Mentaliteit: je neemt initiatief en denkt in oplossingen, bent sterk in organiseren en een stevige sparringpartner op strategisch niveau. Jij houdt het overzicht &eacute;n ziet de kansen.</li></ul></div></div>
<p></p><div><div><div><div><p>
Werken bij Epiic</p><h2 class="jobSectionHeader"><b>
Bij Epiic maak je impact voor klanten &eacute;n jezelf</b></h2><div><p>
Samen brengen we ambities tot leven. Die van onze klanten &eacute;n die van jou. Dat doen we als team: door te vernieuwen, samen te groeien en het verschil te maken. Of je nu net begint of al ervaring hebt, je krijgt bij ons vertrouwen &eacute;n vrijheid. Zo bouwen we samen aan vooruitgang.</p></div></div></div></div></div><div></div>
<div></div><div><div><div><p>
Consultant / Generative AI engineer in Amsterdam</p><h2 class="jobSectionHeader"><b>
Klaar om aan de slag te gaan?</b></h2><div><p>
Solliciteren is simpel: stuur ons je CV en korte motivatie via onderstaande button. Heb je nog een vraag? Bel of mail gerust.</p></div></div></div></div></div><div></div>

Consultant / Generative AI engineer in Amsterdam

Cognizant

Solution Architect – Data & AI
<br>Job Summary
<br>We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
<br>You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
<br>Key Responsibilities
<br>Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
<br>Define and govern enterprise-wide data architecture standards, patterns, and reference models
<br>Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
<br>Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
<br>Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
<br>Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
<br>Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
<br>Mentor and guide solution architects and technical leads across delivery teams
<br>Essential Skills
<br>Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
<br>Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
<br>Strong experience delivering large-scale, data-centric transformation programmes
<br>Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
<br>Nice to Have Skills
<br>Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
<br>Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
<br>Strong collaboration, adaptability, and entrepreneurial mindset
<br>Familiarity with data mesh architectures and domain-oriented data ownership models
<br>Qualifications
<br>Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
<br>Professional certifications in cloud, architecture, or data management are advantageous
<br>What We Offer
<br>Competitive salary
<br>Technology-driven organization
<br>Open team spirit
<br>International environment
<br>Contact the Recruiter
<br>Megha Nagpal
<br><b>Email:</b> Megha.Nagpal3@cognizant.com
<br><b>Phone:</b> +31 6 2715 5643

Solution Architect - Data & AI

<div>
 Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologie&euml;n. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carri&egrave;re naar een hoger niveau te tillen?
 <br/>
 <br/>
 Jouw rol als Senior Machine Learning Engineer
 <br/>
 <br/>
 In deze rol ben jij de drijvende kracht achter het ontwikkelen van nieuwe technologie&euml;n tot bouwstenen waarmee de hele organisatie GenAI-usecases kan realiseren. Je gebruikt geavanceerde software en tools om ervoor te zorgen dat deze oplossingen niet alleen werken, maar ook schaalbaar, betrouwbaar en continu beschikbaar zijn.
 <br/>
 <br/>
 Jouw dagelijkse werkzaamheden omvatten:
 <br/>
 <br/>
 <ul>
  <li>
   Ontwikkelen en onderhouden van production grade GenAI-oplossingen
  </li>
  <li>
   Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
  </li>
  <li>
   Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
  </li>
  <li>
   Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
  </li>
  <li>
   Begeleiden van junior teamleden en bijdragen aan AI Excellence
   <br/>
   <br/>
  </li>
 </ul>
 Dit is je team
 <br/>
 <br/>
 Je sluit je aan bij het jonge, enthousiaste Data Science Lab-team binnen het AI Excellence Center, bestaande uit meer dan 30 hoogopgeleide en energieke collega&rsquo;s.
 <br/>
 <br/>
 Als onderdeel van de AI-community werk je nauw samen met diverse specialisten, waaronder business stakeholders, domeinexperts, data engineers, software engineers, ML engineers, wiskundigen en data scientists.
 <br/>
 <br/>
 We hebben een hechte en groeiende AI-community van ongeveer 100 mensen uit verschillende teams en afdelingen. Elke maand organiseren we een VrijMiBo, een kennisuitwisseling en leuke activiteiten zoals padel, klimmen of pubquizzen.
 <br/>
 <br/>
 Wat breng
 <br/>
 <br/>
 jij ons?
 <br/>
 <br/>
 Je bent leergierig en flexibel, zowel technisch als persoonlijk. Je bent analytisch sterk en hebt een groot verantwoordelijkheidsgevoel. Je vindt het leuk om zowel technische als niet-technische collega&rsquo;s te betrekken bij je werk.
 <br/>
 <br/>
 Om succesvol te zijn in deze rol, breng je mee:
 <br/>
 <br/>
 <ul>
  <li>
   Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
  </li>
  <li>
   Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
  </li>
  <li>
   Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
  </li>
  <li>
   Ervaring met Python
  </li>
  <li>
   Ervaring met Azure en Infrastructure-as-Code
  </li>
  <li>
   Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
  </li>
  <li>
   Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
   <br/>
   <br/>
  </li>
 </ul>
 Wat krijg je
 <br/>
 <br/>
 van ons?
 <br/>
 <br/>
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 <br/>
 <br/>
 <ul>
  <li>
   Een bruto maandsalaris van minimaal &euro; 5.190 ,- en maximaal &euro; 7.803 ,- afhankelijk van je werkervaring, op basis van 40 uur exclusief 8% vakantiegeld
  </li>
  <li>
   Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
  </li>
  <li>
   Jaarlijks een individuele en collectieve verhoging conform onze CAO
  </li>
  <li>
   &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
  </li>
  <li>
   Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
  </li>
  <li>
   Een goede werk-priv&eacute; balans
  </li>
  <li>
   Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
  </li>
  <li>
   50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
  </li>
  <li>
   Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
  </li>
  <li>
   Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
  </li>
  <li>
   Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
   <br/>
   <br/>
  </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 <br/>
 <br/>
 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>


Senior Machine Learning Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
</p><p></p><p>As the Manager of Emerging Talent for the AI Builder Program, you will lead, mentor, and scale a high-caliber team of AI-native graduates, and bring a completely fresh approach to problem-solving.This is not a traditional engineering management role; it is a frontier-pushing leadership position designed to channel that native AI mindset into boundary-breaking, real-world customer transformations. It is a blend of people leadership, technical direction, consulting mentorship, and program development - with an exciting focus on pioneering AI approaches to delivering extraordinary outcomes.
</p><p></p><p>We are looking for a strong people leader with reasonable technical fluency to guide and develop a team of new computer science graduates. In this role, you will focus on people leadership and business mentorship, helping your team navigate their early careers while ensuring operational excellence. You will confidently engage with customers across a diverse cross-section of accounts (from Mid-Market through Enterprise Strategic) and serve as a strategic partner
</p><p>Your primary mission is to translate their unique, intuitive relationship with AI into enterprise-grade success and translate academic computer science excellence into real-world, customer-facing success. You will help your team navigate the frontier of generative AI and Agentforce, architect agent reasoning, and confidently engage with customers to drive business transformations. Additionally, you will play an active role in driving the architecture and execution of our Grad Builder Program , overseeing projects, managing development plans, and delivering advanced technical and consultative training.
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><h3 class="jobSectionHeader"><b>1. People Leadership &amp; Talent Development (40%)
</b></h3><ul><li><p>Channel AI-Native Superpowers: Champion and harness the unique, fast-paced 'group chat' collaboration styles and intuitive AI habits of recent graduates, turning their fresh perspectives into a competitive advantage for our delivery teams.
</p></li><li><p>Manage &amp; Mentor: Act as the direct people manager for a cohort of Emerging Talent AI Builders. Deliver regular 1:1s, performance reviews, career development planning, and compensation management.
</p></li><li><p>Bridge the Gap: Help AI natives pivot from 'building experimental side projects' to deploying production-grade, secure, and ethical enterprise software, showing them how to scale their boundary-pushing ideas responsibly.
</p></li><li><p>Consulting Coaching: Teach technical grads how to &quot;translate tech into business value.&quot; Coach them on active listening, stakeholder management, discovery sessions, presentation skills, and handling pushback from customers.
</p></li><li><p>Cultivating Belonging and Long-term Engagement: Establish a vibrant, inclusive atmosphere. Provide guidance through the specific challenges of early-career excellence, including managing rapid advancement paths, addressing imposter syndrome, and meeting the distinct professional needs of high-potential recent graduates.
</p></li></ul><h3 class="jobSectionHeader"><b>2. Technical Leadership &amp; Project Governance (30%)
</b></h3><ul><li><p>Agentforce Guardrails: Guide graduates through the design of agentic reasoning, prompt engineering, and tool calls. Ensure they are evaluating AI outputs with strict engineering rigor rather than trial-and-error.
</p></li><li><p>Technical Coaching: Support Graduates in building scalable and secure agentic solutions. Act as an internal technical sounding partner when a Graduate encounters roadblocks, ensuring they are equipped to succeed.
</p></li></ul><h3 class="jobSectionHeader"><b>3. Graduate Builder Program Enablement &amp; Strategy (30%)
</b></h3><ul><li><p>Pioneer Continuous Upskilling: Foster an active, experimental lab culture where testing the absolute limits of generative AI and Agentforce is celebrated. You will use insights gained from your cohort's rapid experimentation to feed back into the broader organization's upskilling initiatives.
</p></li><li><p>Project Matching &amp; Bench Management: Oversee the pipeline of customer work, strategically pairing Grads with projects that stretch their technical capabilities while balancing business needs.
</p></li><li><p>Development Milestones: Build, track, and optimize a 12-to-24-month competency matrix detailing when a Grad is expected to master specific technical tracks (e.g., Real-Time Infra) and consulting pillars.
</p></li><li><p>University Recruiting Partner: Collaborate with the University Recruiting team to interview, assess, and attract top-tier Computer Science talent from target universities.
</p></li></ul><h2 class="jobSectionHeader"><b>The Ideal Profile
</b></h2><h3 class="jobSectionHeader"><b>You can speak their language...
</b></h3><p>You have a deep background in computer science or software engineering. You understand object-oriented programming, data structures, and the current landscape of LLMs/prompt engineering.
</p><h3 class="jobSectionHeader"><b>...and you can teach them yours.
</b></h3><p>You are a seasoned consultant or customer-facing tech lead. You know how to read a room, handle a tough customer question during a live deployment, and unpack complex business requirements into technical user stories. You view communication, empathy, and business acumen as core engineering skills. Crucially, you are energized by working with early-career talent who naturally think AI-first. You know how to guide their ambition to push boundaries, helping them refine raw creativity into high-impact business strategy.
</p><h2 class="jobSectionHeader"><b>Qualifications &amp; Requirements
</b></h2><h3 class="jobSectionHeader"><b>Minimum Qualifications:
</b></h3><ul><li><p>Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a highly technical discipline.
</p></li><li><p>Experience: 5+ years of experience in technical consulting, solution architecture, software engineering, or a highly technical customer-facing role.
</p></li><li><p>Leadership: 1+ years of experience managing technical teams, acting as a tech lead, or significantly mentoring early-career engineers/consultants.
</p></li><li><p>Technical Fluency: Proficient in at least one classic powerhouse language (Python, JavaScript/TypeScript, Java) and a solid understanding of modern web architectures (React, REST APIs, GraphQL). A passion for high quality code and best practices (OOP, SOLID, Git, etc.)
</p></li><li><p>AI/LLM Curiosity: Practical, hands-on experience or profound familiarity with Generative AI frameworks, prompt engineering, and LLM orchestration.
</p></li></ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h3><ul><li><p>Prior experience managing university graduate programs, technical rotation programs, or tech boot camps.
</p></li><li><p>Direct experience with the Salesforce ecosystem, Apex, or building on Agentforce .
</p></li><li><p>Background in Enterprise Agile delivery and technical scoping.
</p></li></ul><h2 class="jobSectionHeader"><b>Why This Role is Unique
</b></h2><p>Unlike traditional engineering managers who operate strictly behind the scenes, or traditional consulting managers focused purely on utilization metrics, you are at the epicenter of a workforce revolution. You are not just teaching a syllabus, you are leading a generation of AI natives who will fundamentally rewrite how businesses operate. In this role, you have a blank canvas to push boundaries, experiment with leading-edge agentic technology, and serve as the premier showcase for Salesforce's company-wide upskilling strategy. If you want to change the trajectory of early-career professionals while actively redefining the future of work itself, this is your platform.
</p><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

AI Builder, Manager

SoTalent

<div>
 <p>
  Data Scientist
 </p>
 <p>
  <strong>
   📍 Amsterdam, Netherlands | Hybrid/Flexible Working
  </strong>
 </p>
 <p>
  An exciting opportunity is available for a
  <strong>
   Data Scientist
  </strong>
  to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 </p>
 <p>
  Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
  </li>
  <li>
   Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
  </li>
  <li>
   Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
  </li>
  <li>
   Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
  </li>
  <li>
   Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
  </li>
  <li>
   Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
  </li>
  <li>
   Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
  </li>
  <li>
   Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
  </li>
  <li>
   Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
  </li>
 </ul>
 <p>
  Skills &amp; Experience
 </p>
 <ul>
  <li>
   Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
  </li>
  <li>
   Strong Python programming skills with experience writing clean, well-tested and maintainable code.
  </li>
  <li>
   Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
  </li>
  <li>
   Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
  </li>
  <li>
   Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
  </li>
  <li>
   Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
  </li>
  <li>
   Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
  </li>
  <li>
   Excellent communication and collaboration skills with experience working across multidisciplinary teams.
  </li>
 </ul>
 <p>
  What's on Offer
 </p>
 <ul>
  <li>
   Flexible working arrangements supporting work-life balance.
  </li>
  <li>
   Hybrid working environment.
  </li>
  <li>
   Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
  </li>
  <li>
   The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
  </li>
  <li>
   A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
  </li>
  <li>
   Competitive salary and comprehensive benefits package.
  </li>
 </ul>
 <p>
  If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 </p>
</div>


Data Scientist

RELX Group

<p></p><div><p><i>Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale?
</i></p><p></p><p><i>Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?
</i></p><p></p><p><b>About our Team
</b></p><p>Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today&rsquo;s modern clinical environment. We have a very stable product that we&rsquo;ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
</p><p></p><p><b>About the Role
</b></p><p>In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.
</p><p></p><p><b>Responsibilities
</b></p><ul><li>Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
</li><li>Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
</li><li>Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.
</li><li>Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
</li><li>Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
</li><li>Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
</li><li>Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.
</li></ul><p></p><p><b>Requirements
</b></p><ul><li>Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
</li><li>Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.
</li><li>Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
</li><li>Strong Python skills and solid machine learning fundamentals.
</li><li>Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
</li><li>Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
</li><li>Familiarity with cloud platforms and modern software engineering practices.
</li><li>Strong communication, collaboration, and mentoring skills.
</li></ul><p></p><p><b>Work in a Way That Works for You
</b></p><p>We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
</p><p></p><p><b>Working Pattern
</b></p><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
</p><p></p><p><b>About the Business
</b></p><p>A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world
</p>Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;59,300 - &euro;98,800. This role is covered by the Collective Labor Agreement Publishing Industry.
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Senior Data Scientist II

<p></p><div><p><i>Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions?
</i></p><p></p><p><i>Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value?
</i></p><p></p><p><b>About our Team
</b></p><p>Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today&rsquo;s modern clinical environment. We have a very stable product that we&rsquo;ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
</p><p></p><p><b>About the Role
</b></p><p>In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge.
</p><p></p><p><b>Responsibilities
</b></p><ul><li>Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding.
</li><li>Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline.
</li><li>Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.
</li><li>Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation.
</li><li>Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value.
</li><li>Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement.
</li><li>Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems.
</li><li>Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences.
</li></ul><p></p><p><b>Requirements
</b></p><ul><li>Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area.
</li><li>Experience working with frontier LLMs such as OpenAI&rsquo;s GPTs, Anthropic&rsquo;s Claude, and Google&rsquo;s Gemini, including fine-tuning LLMs and/or SLMs.
</li><li>Strong Python skills and a habit of writing clean, maintainable, well-tested code.
</li><li>A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement.
</li><li>Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets.
</li><li>Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.
</li><li>The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality.
</li><li>Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value.
</li></ul><p></p><p><b>Work in a Way That Works for You
</b></p><p>We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
</p><p></p><p><b>Working Pattern
</b></p><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
</p><p></p><p><b>About the Business
</b></p><p>A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
</p>Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;44,500 - &euro;74,300. This role is covered by the Collective Labor Agreement Publishing Industry.
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Explore 98+ Consultant generative ai engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

98 consultant generative ai engineer jobs In Amsterdam

Consultant / Generative AI engineer in Amsterdam

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