AI Jobs

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:

• 2+ 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

Responsibilities:

• Researching, designing and implementing machine learning algorithms

• Selecting appropriate datasets and data representation methods

• Running machine learning tests and performing statistical analysis

• Present results using intuitive data visualizations

• Extending existing AI/ML libraries and frameworks

Experience Requirements:

• 5+ years of professional experience in software engineering or data engineering

• Strong programming skills in Python and Golang

• Deep understanding of SQL and modern data lake architectures

• Hands-on experience with AWS services

• Proficiency with Terraform

Other Requirements:

• S3

• Lambda

• Glue

• Kinesis

• Athena

• RDS

• Argo Workflows

• Parquet

• Iceberg

• Delta Lake

• Kafka

• IaC

Responsibilities:

• Design and build high-throughput data ingestion pipelines

• Implement secure data lake and SQL-based storage architectures

• Develop internal tools and frameworks using Python and Golang

• Collaborate cross-functionally to define data contracts and schemas

• Manage infrastructure using Terraform and AWS services

Benefits:

• Autonomy to make decisions

• Trust to act on decisions

• Accountability to see them through

• Build real systems

• Drive solutions

Experience Requirements:

• 7+ years in Data or Software Engineering

• 3+ years in a Technical Lead or Architect role

Other Requirements:

• Grit Factor

• Mastery of IaC (Terraform or Pulumi)

• Hands-on experience with GCP and Azure

• CI/CD & DevOps expertise

• Strong Python & SQL skills

Responsibilities:

• Design end-to-end data architectures

• Personally handle high-impact plumbing

• Security & Governance Gatekeeping

• Modern DataOps & Reusable Assets

• Agile Leadership

Benefits:

• Take over responsibility from day 1

• Join a startup founded by SAP, McKinsey & Bain alumni

• Help companies leverage the power of data

Education Requirements:

• University degree in Industrial Engineering, Information Systems Management, or other quantitative studies

Experience Requirements:

• Entry level (Berufseinstieg)

• Focus on medium-sized to enterprise customers

Other Requirements:

• Excellent understanding of data and quantitative skillset

• Strong communication and project management skills

• Professional level German

Responsibilities:

• Be the face of ValueWorks and own end-to-end customer relationships

• Create onboarding plans and drive implementation for new customers

• Implement target customer structures from financial metrics to investor reporting

• Analyze customer data structures to create tickets for engineers

• Act as a consultant in financial planning and business intelligence

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field.

Experience Requirements:

• At least 4 years of relevant work experience.

• Experience building products across the stack

• Solid background in algorithms, data structures, and object-oriented programming

• Experience in back-end development using languages like Python and Go

• Knowledge of database technologies like PostgreSQL, Elastic, Redis.

Other Requirements:

• Strong problem-solving skills

• Attention to detail

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Develop and maintain enterprise software applications

• Write clean, efficient, and maintainable code

• Build scalable and reliable back-end systems

• Develop and maintain APIs using REST or GraphQL

• Integrate multiple enterprise applications and services

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

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

Experience Requirements:

• Proven industry experience in building and deploying production-level machine learning models.

• Deep understanding and practical experience with NLP techniques and frameworks.

• Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems.

• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

• Excellent skills in data processing (SQL, ETL, data warehousing).

Other Requirements:

• Excellent problem-solving skills

• Attention to detail

• Strong capacity for logical thinking

• Ability to work collaboratively in a fast-paced environment

Responsibilities:

• Conceptualize, develop, and deploy machine learning models

• Implement advanced machine learning algorithms

• Lead the processing and analysis of large, complex datasets

• Work across the complete lifecycle of ML model development

• Implement A/B testing and other statistical methods

Benefits:

• Flexible working conditions

• Possibility to work remotely or from the office

• Informal and friendly working environment

• Opportunity to gain new skills working on a state of the art AI/ML

• Regular hackathons, team outings, board games sessions

Experience Requirements:

• All levels of experience

Other Requirements:

• Good problem solver

• Like to code

• Passionate about AI and new technologies

Responsibilities:

• Help us to build a unique company providing the best AI products and solutions

Responsibilities:

• Design the architecture for hosting applications on AWS based on customer needs

• Setup, deploy and manage applications on AWS

• Identify performance bottlenecks and optimize performance

• Implement auto-scaling

• Automate deployments(CI&CD) & other repetitive tasks using shell/Python scripts

Benefits:

• Salary and equity

• Fully remote work

• Flexible work hours

• Health & Dental coverage

• Unlimited vacation

Experience Requirements:

• 8+ years software engineering

• 5+ years data systems focus

• Large-scale dataset experience

• Strong SQL skills

• Proficiency in Python

Other Requirements:

• US citizenship/visa not required

• MySQL skills

• MongoDB skills

• Clickhouse skills

Responsibilities:

• Scale core datastores

• Execute safe migrations

• Deliver predictable performance

• Advance event-driven architecture

• Lead technical direction

Benefits:

• Diversity and inclusion values

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering

Experience Requirements:

• 3+ years experience

• 4+ years proven data analysis experience

• Knowledge of data warehousing

• SQL and Python proficiency

• ELT/ETL tool experience

Other Requirements:

• US citizenship/visa not required

• BigQuery skills

• SQL skills

Responsibilities:

• Maintain scalable data pipelines

• Collaborate with platforms teams

• Implement data governance

• Manage data warehouse

• Develop dashboards

Benefits:

• Competitive Base Pay

• Equity Package

• Performance Bonus

• Professional development budget

• Remote-first culture

Experience Requirements:

• 3-5 years experience level

• 3+ years experience in data engineering, data architecture, or related fields

• Expert-level Python programming

• Hands-on experience with AWS and GCP

• Production experience with big data technologies

Other Requirements:

• Fully Bilingual Role (English/Spanish)

• Advanced querying skills

• Experience with SQL and NoSQL systems

• API development and integration experience

• Version control proficiency

Responsibilities:

• Own the complete data flow: interactions, AI processing, CRM, Competitive Insights

• Design conversation capture systems handling voice, SMS, WhatsApp at enterprise scale

• Build multi-tenant analytics

• Design and maintain robust data pipelines to support AI model training

• Collaborate with engineering team on system architecture

Experience Requirements:

• Proven experience as a Data Scientist or a similar role in the tech industry

Other Requirements:

• Proficiency in SQL, Python, R

• Experience with data visualization tools like Tableau or Power BI

• Detail-oriented

Responsibilities:

• Analyzing data generated from the extension (code, test analysis, coverage, usage)

• Driving data-driven decisions to enhance the product

• Providing actionable insights to the development team

Education Requirements:

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field

Experience Requirements:

• 3-5 years of relevant experience in Industry or a relevant academic lab in a Post-doc position

• Proficiency in Python programming language

• Experience in analyzing scRNA-seq data

• Strong publication record

Other Requirements:

• Expertise in cancer biology

• Strong background in statistics, machine learning, and data visualization

• Familiarity with cloud computing platforms and version control systems (e.g., Git)

Responsibilities:

• Collaborate with the biology team, senior management, informatics team, and partners to analyze data and derive insights

• Design, implement, and optimize computational pipelines for analyzing large-scale single-cell RNA sequencing (scRNA-seq) datasets

• Develop and apply novel statistical and machine learning approaches to identify cell types and states

• Integrate scRNA-seq data with other omics data to enhance understanding of cellular heterogeneity

• Stay up-to-date with developments in single-cell genomics and data science to contribute to the scientific community

Experience Requirements:

• experience in the construction, real estate or government permitting space

Other Requirements:

• Are you legally eligible to work in Canada?

Education Requirements:

• Bachelor's Degree in Computer Science, Information Systems, Software Engineering, or a related field

• Master's Degree (Preferred) in Data Engineering, Information Management, or Business Analytics

Experience Requirements:

• Expertise in data services of a major cloud provider (AWS, Azure, or Google Cloud)

• Expert-level knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift)

• Experience with workflow orchestration tools (Apache Airflow, Mage, or Dagster)

• Proficiency with distributed data processing frameworks like Apache Spark

• Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub)

Other Requirements:

• Proficiency with Terraform or AWS CloudFormation (IaC)

• Deep understanding of data lake design (S3, ADLS) and Lakehouse architecture

• Strong proficiency in data modeling (Kimball, Inmon, Data Vault)

• Familiarity with data governance tools (Unity catalog, Collibra, Alation)

• Systems thinking and stakeholder management skills

Responsibilities:

• Translating business goals into a coherent data platform strategy

• Creating a long-term architectural vision and roadmap for the data platform

• Designing end-to-end data flows from ingestion to consumption

• Selecting and justifying technology stacks for the data platform

• Designing for scalability, security, reliability, and performance

Experience Requirements:

• Familiarity with big data solutions (Spark, Flink, Hive)

• Solid knowledge in Python and Linux

• Ability to write complex SQL queries

• 2+ years experience working with Apache Spark/Flink using Scala or Java

Other Requirements:

• Strong analytical and problem-solving skills

• Fluent verbal and written English

• Experience with AWS tools and Docker/K8S preferred

Responsibilities:

• Design, build and deploy backend data solutions

• Collaborate with product, architects, and R&D teams

• Monitor solutions in production for stability and scalability

• Work closely with data science experts

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional development opportunities

• A dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

Other Requirements:

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

• Excellent attention to detail

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports

• Collaborate with Sales, Engineering, and Operations teams

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Culture of collaboration

• Personal growth

• Technical excellence

• Lifelong learning

• Tools and support

Education Requirements:

• Bachelor’s degree in engineering, computer science or similar

Experience Requirements:

• 5+ years of industry experience in software development

• 2+ years of leadership experience through leading teams, projects or mentoring others

Other Requirements:

• Solid English language skills

• Experience with docker

• Experience with development of HTTP based APIs

• SQL, DevOps, cloud technologies

• Familiarity with Linux and Debian-based distributions

Responsibilities:

• Managing hiring, onboarding, and mentoring

• Encouraging a culture of collaboration, personal growth and technical excellence

• Taking ownership of and maintaining a diverse set of software systems

• Working closely with robotic algorithms and project/product teams

• Implementing standards and best practices for code quality, reproducibility, and security