Benefits:

• Comprehensive health, dental, and vision insurance for you and your dependents

• Inclusive fertility benefits via Carrot Fertility

• 22 weeks of paid parental leave

• Flexible paid time off and absence policies

• Generous mental health support for you and your dependents

Responsibilities:

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

• Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

Education Requirements:

• Doctoral

Education Requirements:

• Bachelors Degree in Computer Science or related field

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting.

• Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised models

Other Requirements:

• Object oriented programming skills in one of Scala, Java, Python, C++.

• Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation

• Time series forecasting using regressions models and Recurrent Neural Networks (RNN) including LSTM .

• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc.

• Deep learning frameworks such as PyTorch TensorFlow

• Good scripting and programming skills

• Processing, cleansing, and verifying the integrity of data used for analysis

• Creating automated anomaly detection systems and constant tracking of its performance

• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc. is a plus

• Past history with AWS is a plus

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks

Education Requirements:

• Bachelors Degree in Computer Science or related field

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting.

• Minimum 2 years experience designing and implementing machine learning solutions including supervised and unsupervised models.

Other Requirements:

• Object oriented programming skills in one of Scala, Java, Python, C++.

• Strong knowledge and understanding of machine learning pipelines from standardization, normalization, clustering, modeling, scoring, validation

• Time series forecasting using regressions models and Recurrent Neural Networks (RNN) including LSTM .

• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc.

• Deep learning frameworks such as PyTorch TensorFlow

• Good scripting and programming skills

• Processing, cleansing, and verifying the integrity of data used for analysis

• Creating automated anomaly detection systems and constant tracking of its performance

• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc. is a plus

• Past history with AWS is a plus

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks

Education Requirements:

• PhD preferred

Benefits:

• Innovative Start-up Environment

• Transparency and Meritocracy

• Ownership and Impact

• Competitive Compensation

• Potential Equity Package

Education Requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.(minimum 4 years of degree)

Experience Requirements:

• 3+ years of hands-on experience in Computer Vision and deep learning

Other Requirements:

• Proficiency with ML Frameworks: Strong experience with machine learning frameworks such as PyTorch, TensorFlow, and Keras

• GPU Computing: Proven experience in training models using GPU computing (e.g., NVIDIA CUDA) or cloud-based environments

• Python Proficiency: Strong programming skills in Python and familiarity with relevant libraries, including NumPy, scikit-image, PIL, OpenCV, matplotlib, and seaborn

• NLP Knowledge: Familiarity with natural language processing models and techniques

• Database and API Expertise: Solid experience with SQL databases and API integration

• Cloud Computing: Proficiency in deploying and managing models in cloud environments like AWS

• Problem-Solving Mindset: Ability to independently tackle complex problems and implement innovative solutions

Responsibilities:

• Lead Computer Vision Initiatives: Develop and deploy advanced computer vision models for tasks such as object detection, image classification, data extraction, and image quality assessment

• Drive Innovation in Core-ML Projects: Work on critical machine learning projects, including Credit Risk Modeling and Scorecard Development, ensuring robust and scalable solutions

• Data Exploration and Analysis: Explore and analyse unstructured data, particularly images, using advanced image processing techniques

• Model Research and Development: Collaborate with the data science team to research, develop, evaluate, and optimise deep learning models tailored to solve specific business problems

Responsibilities:

• Analyze and explore qualitative data and AI models

• Collaborate on efficient, high-quality analysis

Benefits:

• Remote work

• Employment contract in accordance with the Labor Code of the Russian Federation

• Voluntary medical insurance (VMI)

• Flexible work schedule

• Opportunities for professional development in the field of telemedicine and AI

Education Requirements:

• Higher medical education

• Current certificate in the relevant field

Responsibilities:

• Preparation of medical reports based on research results (radiology)

• Consultation and communication with requestors (medical facility specialists)

• Participation in AI model training (data consultation and labeling)

• Remote work on the MDDC digital platform

Benefits:

• Hybrid work model

• Supportive, close-knit team

• Meaningful work

• Positive impact on healthcare

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field

Experience Requirements:

• Hands-on experience in Natural Language Processing (NLP) tasks

Other Requirements:

• Familiarity with LLM fine-tuning techniques

• Strong expertise in Python programming and setting up infrastructure for model deployment

• Self-motivated individual with a “can-do” attitude

• Comfortable working both independently and collaboratively as part of a dynamic team

Responsibilities:

• Work on end-to-end NLP projects

• Leverage extensive medical datasets to develop user-centric applications

Benefits:

• Marie Skłodowska-Curie Action scheme advantages

• Participation in web seminars

• Attendance at yearly meetings and international congresses

• Work at a modern office in Vienna

Education Requirements:

• Master's degree in bioinformatics/computational biology

Other Requirements:

• Fluent in R or Python

• Understanding of cellular and molecular biology

• Experience with SQL, JSON, XML

• Statistical analysis of large datasets

• Experience with biological databases (NCBI, Ensembl, UniProt, GEO, ArrayExpress)

• Knowledge of biological ontologies

• Knowledge of graph theory

• Experience with biological network modeling

Responsibilities:

• Meta-analysis of omics data

• Generation of a network-based molecular model

• Identification of compounds interfering with disease pathobiology

• Identification of drug combinations targeting synthetic lethal interactions

Education Requirements:

• PhD

Education Requirements:

• PhD

Education Requirements:

• PhD