Benefits:

• Competitive compensation

• Company equity

• Health/vision/dental benefits

• Remote flexibility

• Leadership development training

Responsibilities:

• Compliance

• Risk analysis

Benefits:

• Competitive compensation

• Company equity

• Health/vision/dental benefits

• Remote flexibility

• Leadership development training

Responsibilities:

• Infrastructure

Benefits:

• Competitive compensation

• Company equity

• Health/vision/dental benefits

• Remote flexibility

• Leadership development training

Responsibilities:

• Machine learning

Benefits:

• Competitive compensation

• Company equity

• Health/vision/dental benefits

• Remote flexibility

• Leadership development training

Responsibilities:

• Product management

Benefits:

• Competitive compensation

• Company equity

• Health/vision/dental benefits

• Remote flexibility

• Leadership development training

Responsibilities:

• Data analysis

Benefits:

• Full-time remote position

• Flexible working hours

• Mentoring by experienced colleagues

• Start-up environment

• 6-month contract

Education Requirements:

• Recent graduates or current students in a Masters or Ph.D. degree in math, statistics, computer science, or related quantitative field

Experience Requirements:

• Experience using Python and its common data analysis packages (numpy, pandas, matplotlib, scikit-learn)

• Good understanding of core machine learning concepts (classification, regression, clustering, score metrics, validation, feature engineering, pipelines)

• Experience with data processing: transforming, filtering, and presenting large quantities of data

• Advanced English proficiency

Responsibilities:

• Data processing, cleaning, and annotation

• Model development, testing, and fine-tuning

• Machine learning pipeline development, performance validation, and deployment

• Development of packages and modules for internal use and potential productization

• Preparation of presentations, analytical materials, and project summaries

Benefits:

• Full-time remote position

• Flexible working hours

• Ability to grow with the organization and affect the processes

• Interesting projects that eventually go to production

• Competitive salary and benefits

Education Requirements:

• MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics, or another related field

Experience Requirements:

• 3+ years of industrial experience in ML/AI-related environment

• Strong expertise in Python and main data science libraries

• Excellent scientific/technical writing skills

• Strong communication and presentation skills

• Business fluent English and German

Responsibilities:

• You structure, manage and lead client activities as well as internal research projects

• You manage the internal data science project

• You evaluate advances in SOTA and assess them for being applicable for customer use cases

• You support our presales team with developing potential use cases and project ideas

• You take an active role in guiding and mentoring your junior colleagues

Benefits:

• Full-time remote position

• Flexible working hours

• Ability to grow with the organization and affect the processes

• Interesting projects from various industries

• Competitive salary and benefits

Education Requirements:

• BSc or MSc degree

Experience Requirements:

• 3+ years of industrial experience in Software Development or ML/AI-related environment

• Expert knowledge of both theoretical and practical aspects of project management

• Experience coaching and mentoring

• Excellent customer interfacing skills

• Proven experience in effective meeting facilitation

Responsibilities:

• You structure, manage and lead client as well as internal projects through an entire project lifecycle

• You assemble and coordinate project resources both internally, externally and with 3rd parties

• You manage project budget, resource allocation, project plan, project trackers and project timelines as required

• You create and continuously update the project documentation

• You develop professional business relationships and establish effective communication

Education Requirements:

• Bachelor’s/Master’s Degree in Computer Science, Information Technology or Electronics

Experience Requirements:

• Exposure to Machine Learning, Blockchain, Python, Dash, Javascript, Highcharts, NLP API’s (IBM Watson NLU, Google NLP), AWS and Heroku is highly desirable

Other Requirements:

• Good communication skills (both written and oral)

• Enthusiastic learners who can think creatively, raise questions, and research items as necessary. Possessing a “Can Do” attitude to build quality code at a high velocity

Responsibilities:

• Explore and develop Natural Language Understanding capabilities to extract sentiment and insights from free format text, audio and videos sources

• Improve the current deployment for our hyperledger blockchain – both functionally and technically

• Implement basic Product Administration functionality

• Design custom ML Sentiment Engine

• Improve the UI and backend pipeline