AI Jobs

Benefits:

• An attractive remuneration package, based on skills and experience

• Participation in the ownership structure of the firm upon years of service

• Excellent growth and advancement opportunities

• Coaching and Mentoring Programs

• Paid Sick Leave Days

Education Requirements:

• Bachelor’s Degree in Computer Science / Engineering, IT or related field

Experience Requirements:

• 2+ years of experience in a similar position

Other Requirements:

• Advanced knowledge of programming languages

• Knowledge of any SQL Programming is a plus

• Knowledge of Angular, .Net, Microsoft Azure or Docker is a plus

• Excellent communication skills in Greek and English

• Positive attitude, enthusiastic, goal-oriented

Responsibilities:

• Writing clean, high-quality, high-performance, maintainable code

• Develop and support software including applications and database integration

• Coordinate cross-functionally to ensure project meets objectives

• Support test and deployment of new products and features

• Participate in code reviews

Benefits:

• An attractive remuneration package, based on skills and experience

• Participation in the ownership structure of the firm upon years of service

• Excellent growth and advancement opportunities

• Coaching and Mentoring Programs

• Paid Sick Leave Days

Education Requirements:

• Bachelor’s Degree in Computer Science / Engineering, IT or related field

Experience Requirements:

• 4+ years of experience in a similar position

Other Requirements:

• Advanced knowledge of programming languages

• Knowledge of any SQL Programming

• Knowledge of Angular, .Net, Microsoft Azure or Docker is a plus

• Excellent communication skills in Greek and English

• Ability to multitask, organize and prioritize work

Responsibilities:

• Write clean, high-quality, high-performance and maintainable code

• Develop and support software including applications and database integration

• Collaborate with cross-functional teams to ensure projects align with objectives

• Support test and deployment of new products and features

• Conduct code reviews and mentor junior developers

Benefits:

• Competitive salary based on experience and role responsibilities

• Equity participation option after 3 years of service

• Growth opportunities through coaching and professional development

• Flexible working hours & hybrid working model

• Private medical plan, paid sick leave

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Business, or a related field preferred

Experience Requirements:

• 2+ years in solutions delivery, customer success, technical support, or a related role within a technology-driven environment

Other Requirements:

• Excellent knowledge of Greek and English language

• Familiarity with cloud-based solutions, software deployment, and troubleshooting

• Experience in SaaS, IT solutions, or enterprise software environments is an advantage

• Prior experience with CRM and support tools is a plus

Responsibilities:

• Support clients on the daily use of our technology solutions

• Serve as a point of contact for troubleshooting and resolving client issues efficiently

• Build strong relationships with clients, proactively identifying opportunities to enhance their experience

• Collect feedback from customers to inform product development and service enhancements

• Work closely with internal teams, including Product, Sales, and Engineering

Benefits:

• Paid positions

• Hands-on experience

• Dynamic environment

• Learning & Growth

Education Requirements:

• Masters degree in biology, chemistry, computer science, bioinformatics, or data science

Experience Requirements:

• Academic experience or projects that demonstrate your interest

Other Requirements:

• Basic programming skills, preferably in Python

• Strong analytical skills

• Ability to approach problems creatively

• Collaborative mindset

Responsibilities:

• Gain hands-on experience in a dynamic environment

• Contribute to work turning around drugs

• Gain insights into the drug development lifecycle

• Learn how AI techniques are applied to drug safety

Benefits:

• Competitive salary (c. £70-90K)

• Performance-based bonus

• Pension

• Equity

• Vitality health insurance

Experience Requirements:

• Strong Python development experience

• Experience integrating and orchestrating AI/LLM services

• Experience with agent frameworks (Pydantic AI, Langgraph, etc.)

• Experience leading and managing technical teams

• Experience running and evaluating agentic systems in production

Other Requirements:

• Mission-oriented

• Fast learner

• Strong technical communication skills

• Ability to rapidly prototype and iterate quickly

• Familiarity with GCP

Responsibilities:

• Design orchestration architecture for drug redevelopment workflows

• Collaborate with ML researchers to prototype/deploy models

• Build automation and agentic systems

• Work with scientists to ensure tools are robust

• Continuously improve development, testing, and deployment processes

Benefits:

• Flexibility to set your own schedule

• Earn up to $40/hour

• Paid up to twice per week

• AI-powered Tutor Copilot support

• No commuting required

Education Requirements:

• Graduate-level education (priority)

Experience Requirements:

• Expertise in Java

• Tutoring experience (priority)

• Teaching experience (priority)

Other Requirements:

• Strong communication skills

• Friendly, engaging teaching style

• Ability to personalize lessons and adapt to learning styles

Responsibilities:

• Provide personalized 1-on-1 instruction to individual students

• Explain Java concepts clearly

• Accept on-demand tutoring requests

• Invoice for tutoring sessions conducted

• Achieve better learning outcomes and foster passion for learning

Other Requirements:

• Send your resume at email address provided

Benefits:

• Competitive salary

Experience Requirements:

• Excellent programming and software engineering skills in Python, Julia, C++

• Ability to drive software projects from start to finish

• High degree of autonomy and under uncertainty

• Significant technical achievements within ML engineering

Other Requirements:

• Experience in building data dashboards and multimodal data infrastructure is an advantage

• Enthusiastic about making a positive societal impact

Responsibilities:

• Translate research ideas into correct, robust, and scalable high-quality code

• Engage in programming language design/implementation

• Performance engineering and scaling research code

• Algorithm development

• Contribute to the culture and direction of Basis

Benefits:

• Competitive with leading postdoctoral fellowships

• Travel funded by Basis for in-person events

Education Requirements:

• PhD in neuroscience, cognitive science, behavioral science, or AI

Experience Requirements:

• Experience in behavioral modeling using AI/ML techniques

• Experience with multi-agent animal communication or environmental modeling

• Strong programming skills

• Demonstrated track record in scientific research

Other Requirements:

• Willingness to travel periodically for Basis-wide events

Responsibilities:

• Conduct research focused on the Collaborative Intelligent Systems project

• Analyze multi-agent multi-species behavioral data

• Coordinate research with collaborators and core tech team

• Disseminate findings through open-source code and publications

• Provide mentorship to junior team members

Benefits:

• Opportunity to work with cutting-edge AI technologies

• Flexible working arrangements

• Competitive salary

• Benefits

• Professional development opportunities

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Minimum 1 year of experience in AI/ML development

• Minimum 5 years proven experience with Python and JavaScript

Other Requirements:

• Familiarity with agentic systems, RAG techniques, and LangGraph

• Experience with gateway routing abstractions, Svelte, AWS, and relational databases

• Strong understanding of SDLC, OOP concepts, and clean coding practices

• Excellent problem-solving and communication skills

Responsibilities:

• Apply the full software development life cycle (SDLC) for AI components

• Write clean, maintainable code following best practices and design patterns

• Develop detailed documentation for system functionality

• Integrate AI solutions seamlessly using Python and JavaScript

• Implement and optimize agentic systems and RAG techniques

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:

• 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:

• 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)

Education Requirements:

• B.Sc. or higher in computer science or similar from a university

Experience Requirements:

• 5+ years of relevant experience

Other Requirements:

• Skilled at implementing scalable software through the use of design patterns in modern C++

• Highly proficient in C++ and software design

• Able to work across the software and system stack

• Able to perform fast prototyping, including hardware, software & apps

• Comfortable debugging complex systems

Responsibilities:

• Early design & architecture

• Component integration

• Bring-up

• Middleware/frameworks

• Algorithm integration

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.

Experience Requirements:

• 3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.

• Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.

Other Requirements:

• In-depth expertise in Transformer architectures and their applications beyond natural language processing.

• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Solid mathematical foundation in statistics, optimization, and signal processing.

• Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).

Responsibilities:

• Design and implement Transformer-based architectures for time-series prediction and sequence modeling

• Drive the full machine learning lifecycle—from exploratory data analysis to model deployment

• Conduct rigorous benchmarking, ablation studies, and performance optimization

• Collaborate closely with data scientists, engineers, and product managers

• Partner with software engineers to scale and productize ML algorithms