AI Jobs

Benefits:

• Unique opportunity to join Sevensense/ABB

• Professional career development opportunities

• Competitive compensation package

• Modern office in the center of Zurich

• Ambitious, supportive and international team

Education Requirements:

• Masters degree in (Electrical) Engineering

Experience Requirements:

• Experienced with Altium, KiCAD, Autodesk Fusion/EAGLE or similar CAD programs

• Capable of simulating electric circuits in spice tools like LTSpice

• Proficient with standard electronic lab tools like oscilloscopes and logic analyzers

• Knowledge of C, C++, or Python

Other Requirements:

• Basic understanding of the regulatory compliance process

• Responsible and detail-oriented team player

• Can-do mindset

• Ability to take ownership of projects

Responsibilities:

• Design prototypes for next generation products

• Oversee prototype fabrication, including bring-up and debugging

• Maintain the portfolio of Sevensense products and handle change requests

• Validate designs through extensive testing of thermal, vibration, and EMC

• Create test strategies and requirements for production PCBAs

Benefits:

• Exponential growth in salary

• Knowledge growth

• Role and designation growth

Experience Requirements:

• Solid problem solving skills with Python or C++

• Experience working with open source object detection (Mobilenet SSD, EfficientDet) and classification models (Mobilenet, VGG)

• Solid image processing skills (camera calibration, homography estimation, feature matching, optical flow)

• Proficient in at least one of tensorflow and pytorch

• Experience with optimizing models (fp16, int8) and deployment on edge devices like coral and jetson nano

Other Requirements:

• Experience with cloud platforms like AWS

• Comfortable with concepts of threading and multiprocessing

• Experience with using Django

• Previous experience working with Postgresql or other RDBMS

• Good interpersonal and time management skills

Responsibilities:

• Select appropriate classified image libraries and algorithms to develop anomaly detection applications

• Develop solution architecture and generate drafts for design reviews

• Assist in the installation and running of product demonstrations

• Contribute to expanding and sustaining knowledge base through training and mentoring

• Establish technical performance benchmark

Benefits:

• Exponential growth in salary

• Knowledge growth

• Role and designation growth

Experience Requirements:

• Solid experience in handling and engaging clients from the Manufacturing industry

• Strong experience in Industry Automation and Machine Vision products

• Good knowledge of AI and software products

• Digital & traditional marketing skills to grab leads

• Excellent communication and negotiation skills

Other Requirements:

• Strong Interpersonal and interpretation skills

• Passionate & optimistic person to achieve targets

• Ability to deliver an engaging presentation

Responsibilities:

• Learn technical details of Computer Vision AI software and its applications

• Understand customer requirements and apply product knowledge

• Create and deliver effective product demonstrations to prospective customers

• Manage all technical and functional aspects of RFP/RFI

• Develop and manage lead pipeline by assessing and prioritizing prospective clients

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with RhinoCommon

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with Rhino Compute

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• Medical insurance

Education Requirements:

• Bachelor's or Master's degree in Computer Science or a related technical field

Experience Requirements:

• 4+ years of professional software engineering or data engineering experience

• Expert proficiency in Python

• Deep, hands-on experience with the modern data stack

Other Requirements:

• Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

• Familiarity with Data Governance, Data Quality, and Data Observability principles

• Strong communication skills

Responsibilities:

• Lead the technical implementation, integration, and optimization of Altimate AI's platform

• Serve as the primary technical point of contact for key accounts

• Develop custom scripts, integrations, and tools using Python

• Troubleshoot, diagnose, and resolve complex technical issues

• Contribute to the core product by identifying common integration patterns

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite (US)

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Expertise in semantic search and embedding models

• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

• Advanced model fine-tuning techniques

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

• Develop and optimize cloud-native architectures (AWS, Kubernetes)

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and computing resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 7+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Experience with observability and monitoring of LLM applications

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary, equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in developing and implementing machine learning algorithms

• Advanced proficiency in Python (Scikit-learn, TensorFlow, PyTorch)

• Experience with advanced text mining methods

• Experience with Natural Language Processing (NLP)

• Experience with Large Language Models (LLMs) like GPT-3

Other Requirements:

• Practical experience with cloud services (AWS, Azure, GCP)

• Expertise in deep learning for NLP with Transformers

• Proficiency in ML experimentation and A/B testing

Responsibilities:

• Spearhead the creation and finetuning of sophisticated machine learning models

• Contribute to the seamless integration of Large Language Models

• Employ machine learning techniques to analyze vast datasets

• Implement algorithms to effectively cluster vast quantities of code

Benefits:

• Competitive salary and equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 3+ years of experience building Python-based web application backends

• 5+ years of experience designing and developing scalable back-end systems

• Strong proficiency in JavaScript/TypeScript and React

• Hands-on expertise in front-end tooling and libraries

Other Requirements:

• Working knowledge of static code analysis of SQL

• Experience developing and extending VSCode extensions

• Familiarity with AI and machine learning concepts

• Experience with cloud platforms and containerization

Responsibilities:

• Lead backend infrastructure development for LLM architectures

• Build and enhance intuitive interfaces in React

• Develop and maintain VSCode extension

• Design and develop large-scale graph-based data structures

Experience Requirements:

• 3+ years of experience in DevOps

Other Requirements:

• Deep understanding of containerization technologies like Docker and Kubernetes

• Proficiency in infrastructure automation with tools like Terraform

• Experience with cloud platforms

• Strong scripting skills in Python and Bash

• Familiarity with ML/AI deployment practices

Responsibilities:

• Architecting and maintaining scalable, containerized environments for AI model deployment

• Implementing and managing CI/CD pipelines

• Automating infrastructure provisioning and configuration with IaC tools

• Optimizing system performance and crafting monitoring solutions

• Ensuring high availability, fault tolerance, and disaster recovery

Education Requirements:

• Postgraduate research in Machine Learning or related fields

Experience Requirements:

• 3+ years of work experience

Other Requirements:

• Comprehensive knowledge of modern deep learning architectures

• Deep understanding of hardware, instruction sets and distributed systems architectures

• Experience with ONNX, TorchScript, quantization, and sparsification

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

Responsibilities:

• Optimize model deployment, scaling, and runtime performance

• Implement MLOps best practices including experiment tracking

• Work with distributed training tools and CUDA-level optimization

• Apply techniques such as micro-batching, caching, and KV-caching

Experience Requirements:

• Proven experience as a Front-end Developer

Other Requirements:

• Strong understanding of HTML, CSS, JavaScript, and modern frameworks

• Experience with responsive and adaptive design

• Familiarity with SEO best practices

• Knowledge of performance optimization techniques

• Experience with version control systems and CI/CD pipelines

Responsibilities:

• Develop and maintain user-facing features

• Collaborate with designers to translate mockups into interactive experiences

• Ensure the technical feasibility of UI/UX designs

• Optimize applications for maximum speed and scalability

• Implement best practices in SEO and accessibility

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory and loss function engineering

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms

Responsibilities:

• Lead the development and fine-tuning of advanced ML models

• Design and implement effective HPO and cross-validation strategies

• Choose loss functions and optimizers tailored for specific problem sets

• Implement and monitor experiment tracking using tools like MLFlow or W&B

• Develop and optimize training datasets using Hugging Face and PyTorch

Experience Requirements:

• Experience working in tech or being tech savvy

Other Requirements:

• Nice, hard working, smart, love people, and courageous

• Ecommerce CEO contacts (bonus)

Responsibilities:

• Helping bring on board new enterprise customers

• Acting as a relationship manager and connection into the technical team

• Calming partners down and helping them through challenges

• Winning business and solving problems

Benefits:

• Free all you can eat pickles

• Growth opportunities

• Working with a cutting edge AI project

• Working with nice, hard working, smart people

• A salary

Other Requirements:

• Comfortable with numbers, P&L, and basic accounting

• Understanding of how to increase revenue and reduce costs

• Knowledge of legal matters or contracts (bonus)

Responsibilities:

• General finance-related tasks and accounting

• Managing P&L and financial calculations

• Developing strategies to improve profitability

• Reviewing legal contracts (if applicable)

Benefits:

• Competitive salary with meaningful equity

• Free health, dental, and vision insurance

• Free in-office lunch and dinners

• Unlimited PTO

Experience Requirements:

• 3+ years

• Senior/Staff level experience building and scaling infrastructure

• Experience with data warehousing and pipelines

Other Requirements:

• US citizen/visa only

• Passionate about building infra that’s simple, predictable, and elegant

Responsibilities:

• Design and scale the backend systems powering millions of patient interactions

• Build the event-driven architecture for voice, scheduling, and data ingestion

• Optimize performance, cost, and observability across services

• Own reliability, latency, and uptime across the stack