AI and machine learning roles are the fastest-growing segment in tech, commanding 15–25% higher salaries than the general developer average. Roles span LLM engineering, MLOps, computer vision, NLP, data science, and applied AI research.
Ensure compliance-first design, embedding regulatory considerations into every product feature. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent…
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Ensure compliance-first design, embedding regulatory considerations into every product feature. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.
Ensure compliance-first design, embedding regulatory considerations into every product feature. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent…
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Ensure compliance-first design, embedding regulatory considerations into every product feature. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.
Troubleshoot and create customer response action plans to support customer needs. Previous experience in installation, maintenance, repair, or troubleshooting of semiconductor capital equipment.
Position Description We are hiring an IT AI/ML Engineer. The AI/ML Engineer will assist in building and supporting AI/ML platforms and driving the adoption of FF available AI-enabled solutions.
The position combines technical leadership, solution architecture ownership, people management, and customer success accountability, overseeing multidisciplinary teams while remaining directly involved in identifying…
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The position combines technical leadership, solution architecture ownership, people management, and customer success accountability, overseeing multidisciplinary teams while remaining directly involved in identifying customer opportunities and architecting end-to-end technical solutions. Our Success Criteria Lead and manage a multidisciplinary organization including applications engineers, technicians, project managers, and customer success professionals Own customer-facing technical delivery and customer success outcomes across multiple commercial deployments Translate customer business and operational requirements into deployable physical AI and automation solutions Oversee end-to-end customer phases including technical discovery, solution definition, deployment planning, commissioning support, and post-deployment optimization Ensure customer-facing systems meet operational, safety, reliability, and performance requirements Partner with Product, Engineering, and Commercial teams to align customer needs with product capabilities and deployment readiness Establish documentation standards, validation processes, and customer acceptance frameworks to support repeatable deployments Act as the senior escalation point for complex customer-facing technical, delivery, and performance issues Manage priorities, resources, and execution across multiple concurrent customer programs Represent the Applications and Customer Success organization in internal leadership discussions and external customer engagements Your Experience Qualifications: Minimum 8 years of professional experience in customer-facing technical roles such as applications engineering, solutions engineering, or technical product ma...
Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring. KEY…
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Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring. KEY TERMS Artificial Intelligence Generative AI GenAI Machine Learning ML Engineer Engineering Deployment Production Real Time Enterprise Statistics Mathematics Financial Services Banking Python Recommendation Engine Recommende...
Build and operate production-grade REST APIs to serve AI and agent capabilities. Develop and maintain scalable data pipelines and background workers that support AI workloads and agent execution.
By leveraging personalized AI-generated content, interactive agents, and immersive AI-driven video experiences, GenPark helps brands engage with the right audience in the right context to enhance conversion rates and…
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By leveraging personalized AI-generated content, interactive agents, and immersive AI-driven video experiences, GenPark helps brands engage with the right audience in the right context to enhance conversion rates and reduce customer acquisition costs. Qualifications Strong understanding of Neural Networks and Pattern Recognition concepts Background in Computer Science and experience with Software Development Foundational knowledge and practical experience in Natural Language Processing (NLP) Problem-solving mindset, ability to work collaboratively, and strong analytical skills Preferred: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with AI-focused projects Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Show less [{"type":"people_also_viewed","href":"https://ca..com/jobs/view/ai-developer-at-j-m-group-4249478765","jobId":"4249478765","label":"AI Developer"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/data-scientist-at-syndesus-inc-4365050714","jobId":"4365050714","label":"Data Scientist"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/ai-ml-cloud-engineer-aws-azure-at-astra-north-infoteck-inc-%7E-conquering-today%E2%80%99s-challenges-achieving-tomorrow%E2%80%99s-vision%21-4368288625","jobId":"4368288625","label":"AI/ML Cloud Engineer - AWS, Azure"},{"type":"people_also_viewed","href":"https://ca..com/jobs/view/artif...
You'll work alongside experienced AI leadership who will help you become expert-level in AI development while you leverage your strong full-stack fundamentals to ship meaningful features. Requirements 5+ years of…
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You'll work alongside experienced AI leadership who will help you become expert-level in AI development while you leverage your strong full-stack fundamentals to ship meaningful features. Requirements 5+ years of full-stack software engineering experience with modern frameworks Strong proficiency with backend development; we use PHP/Laravel and MySQL (experience with these is highly valued) Solid experience building and scaling backend systems with REST/GraphQL APIs Strong understanding of databases and data flow patterns; data engineering experience is a plus You have experience with AI APIs and built something that taught you how they work in practice Demonstrated ability to learn new technologies quickly and apply them thoughtfully You understand that AI features require different thinking about quality, testing, and user experience than traditional features Strong problem-solving skills and systems thinking about integration patterns You're empathetic and can work both independently and collaboratively in a team environment You can clearly articulate your technical reasoning to both technical and non-technical team members Technical skills: Experience with backend tools like Git, unit testing, continuous integration, and Linux command line Comfort working with APIs and integrating third-party services Understanding of how to build maintainable, testable code in complex systems Willingness to learn AI-specific patterns: prompt engineering, context management, evaluation frameworks Bonus points for: Experience with AI frameworks like LangChain, Pydantic, or LlamaIndex Data engineering experience: ETL pipelines, data transformation, working with large datasets Deployment expertise: Containerization, cloud plat...
[Applicants: Be among the first 25 applicants | Industry: Construction | Type: Full-time | Level: Entry level] Pay:$70,000-$110,000 per year (base of $28-$32 an hour + commissions)Location:OmahaJob Type:Full-TimeTurn…
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[Applicants: Be among the first 25 applicants | Industry: Construction | Type: Full-time | Level: Entry level] Pay:$70,000-$110,000 per year (base of $28-$32 an hour + commissions)Location:OmahaJob Type:Full-TimeTurn Drain Calls into Real Solutions,
This leadership will be to diverse teams responsible for designing, building, and running AI‑driven applications. These applications include autonomous AI agents, enterprise‑scale AI solutions, and human‑centered user…
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This leadership will be to diverse teams responsible for designing, building, and running AI‑driven applications. These applications include autonomous AI agents, enterprise‑scale AI solutions, and human‑centered user interfaces.
[Industry: Hospitals and Health Care | Type: Full-time | Level: Mid-Senior level] Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data.…
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[Industry: Hospitals and Health Care | Type: Full-time | Level: Mid-Senior level] Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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