AI Jobs

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6-8 years

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6+ years

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6+ years

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 8+ years

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 10-16 years

Education Requirements:

• Master’s Degree in Computer Science, Computer Applications, Computer Information Systems or Related.

Experience Requirements:

• 2years experience as a Data Analyst, Data Architect or related.

Other Requirements:

• Travel/relocation to various unanticipated client sites within the United States is required.

Responsibilities:

• Design databases to support business applications, ensuring system scalability, security, performance, and reliability.

• Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements.

• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.

• Develop data models for applications, metadata tables, views, or related database structures.

• Set up database clusters, backup, or recovery processes.

Benefits:

• Company equity grants

• Employer-covered health, vision, and dental insurance

• 401k matching

• 20 days of PTO allowance per year

• 10 annual holidays

Education Requirements:

• Degree in a STEM discipline preferred (or equivalent practical experience)

Experience Requirements:

• 4+ years of experience in applied data science or machine learning

• Strong Python and SQL skills

• Experience developing and evaluating supervised ML models

• Practical experience with experimentation and statistical reasoning

• Familiarity with reinforcement learning or decisioning frameworks

Other Requirements:

• Demonstrated ability to independently frame problems

• Strong communication skills across technical and business audiences

• Experience in telecom, subscription, pricing, or churn analytics

• Exposure to contextual bandits or policy optimization

• Familiarity with AI agents

Responsibilities:

• Translate business asks into modeling tasks and evaluation frameworks

• Develop predictive models and decision logic

• Design and analyze A/B tests or staged rollouts

• Specify model inputs, outputs, and logging for monitoring

• Communicate findings and tradeoffs to stakeholders

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• Built or scaled a modern data stack (Snowflake, ClickHouse)

• Strong in SQL and Python

• Comfortable working with large, messy datasets

• Experience with Metabase or Tableau (plus)

Other Requirements:

• Fluent English

Responsibilities:

• Build and maintain a clean, stable data environment

• Develop and run internal data APIs and SDKs

• Monitor and improve data performance and table layouts

• Manage data access and governance policies

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• Strong Python and SQL with an engineering mindset

• Solid applied NLP/ML experience on real-world text

• Comfortable with distributed processing and large-scale storage

• Experience evaluating fuzzy problems and metrics

• Prior work with safety, moderation, or observability datasets

Other Requirements:

• Fluent English

Responsibilities:

• Turn petabytes of unstructured text into structured views

• Build scalable representation pipelines and embeddings

• Use LLMs pragmatically for labeling and enrichment

• Deliver insights that change product and operational decisions

• Ship self-serve analytics datasets and dashboards

Benefits:

• Flexible hybrid working model

• In-office twice per week

• Work across Microsoft AI stack

• International team environment

• Collaborative culture

Experience Requirements:

• Strong hands-on experience with Azure AI services

• Experience in cloud engineering

• Programming in Python, TypeScript or C Sharp

• Understanding of microservices and RAG patterns

• API design and CI/CD

Other Requirements:

• Passion for AI engineering

• Problem solving skills

• Continuous learning mindset

Responsibilities:

• Design and build advanced AI agents

• Develop cloud native services and retrieval pipelines

• Build vector based search systems

• Create custom copilots using Azure AI Foundry

• Collaborate with low code teams

Benefits:

• Flexible hybrid working model

• Twice per week in-office

• International projects

• Growth opportunities

• Innovative environment

Experience Requirements:

• Hands-on experience with Azure AI services

• Cloud native engineering

• Building intelligent retrieval or agent based systems

• Proficiency in Python, TypeScript or C Sharp

• Understanding of APIs and integration patterns

Other Requirements:

• Curiosity and problem solving ability

• Passion for engineering modern AI solutions

Responsibilities:

• Build advanced AI systems using Azure AI Foundry

• Develop retrieval pipelines and microservices

• Design backend components for AI accelerators

• Collaborate with product owners and Azure engineers

• Design secure and scalable AI architectures

Benefits:

• Work remotely

• Great technology stack

• International team

• No bureaucracy

Experience Requirements:

• 5+ years of hands-on leadership experience in web solutions development

• 5+ years of hands-on experience in software development (C++, Java, Python, Go)

• Hands-on experience with design and implementation of end-to-end ML/AI solutions

• Experience in server-side components and containerized applications

Other Requirements:

• High problem-solving skills with algorithms and data structures

• Good understanding of BigO notation

• Ability to plan feasible tasks using existing resources

• Concise communication skills

Responsibilities:

• Manage a team of machine learning and computer vision engineers

• Maintain a high standard of technical expertise within the team

• Collaborate with cross-functional partners to define product directions

• Drive the creation and execution of the team roadmap

• Prioritize tasks and agree on priority with stakeholders

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Experience building prediction models (demand, churn) using large data

• Advanced analysis and implementation skills in Python/R and SQL

• Logical thinking to link analysis results to business impact

Other Requirements:

• Venture spirit to lead projects in a fast-paced environment

• Active participation in organizational growth and recruitment

Responsibilities:

• Utilize statistical analysis and ML to support client growth

• Construct prediction and optimization models for B2C clients

• Derive new insights from data for consulting projects

• Lead data-driven initiatives to resolve client resource shortages

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Advanced visualization skills using BI tools (Tableau, Power BI, etc.)

• SQL skills for data extraction and processing

• Ability to find business issues from web and customer data

• Practical knowledge of KPI design and data quality management

Other Requirements:

• Commitment to final results and customer contribution

• Active involvement in team and organizational growth

Responsibilities:

• Collect, organize, and visualize project data

• Support identification of business challenges and improvements

• Provide reporting and insights from a business-side perspective

• Support data-driven growth strategies for B2C companies

Benefits:

• 401(k) plan with employer match

• Top-tier health, dental, hospital, accident, and vision plans

• Relocation reimbursement for NYC

• Equity compensation

• Professional growth opportunities

Experience Requirements:

• 5+ years of experience building production-grade ETL/ELT pipelines

• Strong proficiency in Python

• Hands-on experience with Airflow or Dagster

• Experience running data infrastructure in cloud environments (AWS, GCP)

• Deep understanding of data modeling and the modern data stack

Other Requirements:

• AI Fluency

• Hands-on experience with dbt (Plus)

• Knowledge of infrastructure-as-code (Plus)

• Experience working in regulated industries (Plus)

• Startup experience (Plus)

Responsibilities:

• Build and own end-to-end ETL/ELT and CDC pipelines

• Set up, maintain, and evolve data pipelines using orchestration platforms

• Design, operate, and scale core data platform

• Ship and maintain curated gold-layer datasets

• Ingest and integrate product and third-party data sources

Education Requirements:

• BA or BS with a science or related background

Experience Requirements:

• Experience in data entry or Data Management activities

• Knowledge of clinical trial processes

• Experience in ICH GCP and GCDMP (SCDM)

Other Requirements:

• Understanding of database structures and database programming

• Knowledge of CDISC standards (CDASH and SDTM)

• Proficiency in MS Office and email applications

• Strong analytical and problem solving skills

Responsibilities:

• Setup, documentation, and implementation of clinical study databases

• Contribute to development and testing of Phase I and BA/BE clinical study data

• Review and contribute to protocols from a data management perspective

• Design and review eCRFs according to study protocol

• Create, review, and process data queries

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards

Benefits:

• Work at the intersection of AI, data, and performance marketing

• Collaborate with leading sports, entertainment, and retail brands

• A growing startup culture with room to shape your role

• Hybrid flexibility (2-3 days a week in Lisbon office)

• Competitive salary, performance bonuses and growth opportunities

Experience Requirements:

• Strong background in Python and SQL

• Experience with ETL frameworks, data warehouses, data lakes and APIs

• A builder's mindset, comfortable with 0 to 1 setups

• Operate within cloud environments

• Familiarity with machine learning pipelines is a big plus

Other Requirements:

• Curiosity for analytics, AI, and data-driven products

• Experience with marketing or customer data (bonus)

• Interest in joining weekly team sports games like football or padel

Responsibilities:

• Architect and build data pipelines connecting eCommerce, CRM, and marketing data

• Set up data ingestion, transformation, and orchestration workflows

• Define rules, validation layers, and quality metrics

• Collaborate with Data Scientists and Product Engineers

• Experiment and automate data flow

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

Other Requirements:

• Excellent teamwork skills are a must

• Creativity and ability to formulate problems and solve them

• Willing to work towards long-term ambitious research goals

• Fluent in English both spoken and written

Responsibilities:

• Work on data analytics projects using internal tools and Python

• Research and deliver insights related to risk exposures and quantitative analysis

• Evaluating and interpreting the outputs of the models

• Producing clear written summaries of research results