AI Jobs

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

Education Requirements:

• BSc in Computer Science

• Mathematics

• Master’s degree specializing in CV/ML preferred

Experience Requirements:

• Experience as a manager in Computer Vision

• Experience with visual recognition tasks

• Experience with deep learning frameworks (PyTorch, Tensorflow)

• Understanding of convolutional and recurrent neural networks

• Familiarity with Python or C/C++

Other Requirements:

• Strong interpersonal skills

• Self-motivated and detail oriented

• English communication skills

Responsibilities:

• Define Product Vision and future roadmap

• Lead product developments as product owner

• Research cutting-edge computer vision techniques

• Partner with QA and Delivery teams

• Lead, train, and coach a team of individuals

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

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

• 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 and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• 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:

• Experience with vector databases and RAG pipelines

• Proficiency in model compression and distillation

• 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 and 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 Software engineering

• Strong proficiency in Python and SQL

• Extensive experience with SQL query profiling and optimization

• Deep understanding of SQL Abstract Syntax Tree (AST)

• Experience in building data pipelines using Airflow or dbt

Other Requirements:

• Solid understanding of cloud platforms, particularly AWS

• Familiarity with Kubernetes (K8s)

Responsibilities:

• Building highly performant PB scale data pipelines

• Design and implement robust, scalable data infrastructure on AWS

• Design and develop a comprehensive SQL intelligence system

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in Data Science, Statistics, Mathematics, Computing or related areas

Experience Requirements:

• Solid experience as a Senior Data Scientist or equivalent

• 3+ years of experience in industry or retail (large scale data contexts)

• Experience in market analysis, CRM, pricing, or commercial planning

Other Requirements:

• Advanced proficiency in Python and SQL

• Mastery of descriptive and inferential statistics

• Experience with BI tools (Power BI, Tableau or similar)

• Advanced English

Responsibilities:

• Analyze large volumes of data to identify patterns and business opportunities

• Translate analysis into actionable recommendations for strategy

• Partner with Sales, Solutions, and Product teams

• Build and maintain executive dashboards for decision-making

• Operationalize analytical solutions and models for client-oriented deliveries

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in IT, Engineering, Data Science or related areas

Experience Requirements:

• 5+ years of experience in Data Engineering

• Advanced mastery of SQL and dbt (modular modeling and tests)

• Experience with AWS ecosystem (S3, Glue, Athena, Redshift)

Other Requirements:

• Experience with distributed processing (Spark/Hadoop)

• Proficiency in Python, Java, or Golang

• Knowledge of Scala, SPARQL, GraphQL, and Delta Lake

• Advanced English

Responsibilities:

• Project, build, and maintain scalable and reliable data pipelines

• Automate ETL/ELT processes ensuring efficiency and quality

• Ensure data availability, integrity, and consistency

• Develop reusable components to support solution scalability

• Collaborate with Engineering, Product, and Solutions teams

Benefits:

• Daily breakfast in the office

• Option of working from home/hybrid work

• Flexible work schedule

• Sick days

• Parking, bike storage with showers and changing rooms

Education Requirements:

• Master's degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 3+ years in a software engineering management or line leadership role

• Hands-on software engineering background in C++ and/or Python

• Solid system design experience

• Experience with containerization, CI/CD pipelines and version control

• Proven experience driving delivery through cross-functional collaboration

Other Requirements:

• Primary work language: Slovak

• English proficiency: C1 level

• Strong focus on algorithmic thinking and optimization

• Strong project management skills

Responsibilities:

• Lead and develop a team of software engineers

• Build a culture of ownership and collaboration

• Recruit, onboard, and retain top engineering talent

• Bridge product and engineering to align strategy

• Oversee architectural decisions and system scalability

Education Requirements:

• BS degree or equivalent experience in a computational science or technical field

Experience Requirements:

• Prior use of SQL in academic or professional environment

• Design and/or maintenance of large datasets

• Exposure to cloud engineering

• Understanding of serverless architecture and design principles

• Experience handling large datasets and time-series data

Other Requirements:

• Skills in SQL and Python

• Willingness to conduct business during non-traditional hours

• Highly self-motivated and flexible

Responsibilities:

• Develop and maintain basic ETL processes using Python and SQL

• Monitor batch processing pipelines and troubleshoot simple data issues

• Write and optimize basic SQL queries for data retrieval

• Maintain accurate documentation and utilize Git for version control

• Participate in code reviews and learn cloud platform basics

Benefits:

• Health coverage

• Retirement plans

• Unlimited paid time off

• Flexible and remote work options

• Learning and development stipends

Education Requirements:

• Master's or PhD in Statistics, Data Science, Computer Science, or related quantitative field

Experience Requirements:

• Strong to extensive experience working with sports data and analytics

• Solid to deep foundation in statistical modeling, machine learning, and predictive analytics

• Proficiency in building data science solutions from concept to deployment

• Experience working with large, complex datasets and database systems

• Advanced proficiency in cloud-based computing platforms

Other Requirements:

• Curiosity and passion for sports

• Collaborative mindset

• Aligned with core values: honesty, humility, hard work, commitment, innovation, and exceptionalism

Responsibilities:

• Build end-to-end data science solutions and predictive models

• Design and implement sports analytics tools for athlete evaluation

• Lead the design of complex, high-impact data science tools

• Provide technical mentorship and guidance to data scientists

• Engage with sports operations teams to translate analytics into actionable insights

Education Requirements:

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

Experience Requirements:

• Demonstrated experience developing models at production scale for hockey or sports betting for 2+ years

• Expertise in Probability Theory, Machine Learning, and Inferential Statistics

• 5+ years experience delivering effective machine learning/statistical models in sports or betting

• Experience with relational SQL & Python

• Experience with source control tools such as GitHub

Other Requirements:

• Excellent communication skills

• Proven track record of strong leadership skills

• Experience working in AWS environments

Responsibilities:

• Ideate and develop machine learning and statistical models

• Develop contextualized feature sets using sports domain knowledge

• Partner with data engineering and product teams to deploy models

• Improve model performance using offline and online experimentation

• Document modeling work and present to stakeholders

Benefits:

• Work with cutting-edge AI datasets

• Flexible part-time hours to fit your schedule

• Opportunity to develop skills in data management

• Collaborate with a professional and supportive team

Education Requirements:

• High school diploma or GED

Experience Requirements:

• 1 year experience as a data entry operator or similar

Other Requirements:

• Excellent time management and multitasking abilities

• Proficiency in MS Office and Google Suite

• Good understanding of databases

• Good Knowledge of Computer

Responsibilities:

• Gathering, collating, and preparing documents

• Conducting research for incomplete documents

• Creating digital documents from paper or dictation

• Reviewing documents for accuracy

• Capturing data into digital databases

Benefits:

• Work on positive impact on millions of users

• Work with experienced computer scientists

• Lively and highly collaborative environment

Experience Requirements:

• Experience in Image Annotation and Video Annotation Tool

Other Requirements:

• Quality-oriented approach

• Strict adherence to timelines

• Proficiency in Computers, Excel, and Word

• Attention to detail is a must-have

Responsibilities:

• Use software to mark elements in product images

• Identify and analyze bugs and errors found

• Manual Tagging and annotating large volumes of documents

• Assign text labels and draw bounding boxes around images

• Create labelled datasets and curate images

Education Requirements:

• Bachelor's degree or equivalent years of experience

Experience Requirements:

• 2 years of experience managing labeling projects

Other Requirements:

• Strong communication skills

• Ability to work in a startup environment

• Strong technical documentation skills

• Strong prioritization and project management skills

Responsibilities:

• Source data providers and costs for the data

• Source companies that provide data labeling services

• Drive labeling workflows and success metrics

• Follow up with labeling providers to ensure progress

• Ensure legal use of data with leadership and counsel

Education Requirements:

• Must have attained the age of 18 years or older

Experience Requirements:

• Experience with Microsoft Excel

• Advanced technical skills with hardware and software

Other Requirements:

• Exceptional skills in written English

• Typing speed no less than 75 words per minute

• Personal computer with minimum 2.0GHz processor

• High-speed internet connection (10 Mbps)

Responsibilities:

• Accurately transcribe audio data

• Edit and correct transcriptions for grammar and punctuation

• Manage transcription projects with minimal supervision

• Conduct internet research to verify information

• Check and respond to communications via email

Experience Requirements:

• Proven experience in data acquisition, sales, or a related role

• Experience working in a remote setting

Other Requirements:

• Excellent communication and negotiation skills

• Understanding of AI, machine learning, and technologies

• Proficiency in Google Suite

• Ability to maintain confidentiality

Responsibilities:

• Develop and implement strategies for data acquisition

• Reach out to potential data providers and organizations

• Coordinate and conduct meetings and calls

• Obtain image samples following specific guidelines

• Maintain ongoing relationships with data providers

Benefits:

• Diverse and inclusive workplace

• Equal opportunity employer

Experience Requirements:

• 1+ years of experience in data science

Other Requirements:

• Proficiency in Python (ML libraries) and SQL

• Hands-on experience with ETL processes and large datasets

• Knowledge of frameworks like LangChain or Langraph

• Ability to design AI agents using RAG

• Familiarity with AWS or major cloud platforms

Responsibilities:

• Design, develop, and deploy data science solutions

• Translate business challenges into scalable data products

• Develop, evaluate, and deploy machine learning models

• Explore and integrate new technologies like LLMs and AI agents

• Ensure data quality and integrity across multiple sources