Experience Requirements:

• Senior

Other Requirements:

• Proficiency with TensorFlow or Keras

• Proficiency with Python and ML libraries (scikit-learn, pandas)

• Expertise in visualizing and manipulating big datasets

• Proficiency with OpenCV

• Familiarity with Linux

• Ability to select hardware for ML models

Responsibilities:

• Understand business objectives and develop models

• Manage resources (hardware, data, personnel)

• Analyze ML algorithms and rank by success probability

• Explore and visualize data

• Verify data quality and cleaning

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

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:

• 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

Benefits:

• Generously matched contributions

• Vitality Health (London employees)

• Life insurance (London employees)

• 25 days holiday plus bank holidays

• Learning & development fund

Responsibilities:

• Help collect and clean datasets

• Determine new training approaches, loss functions and methodologies

• Design new architectures and deploy models to production

Education Requirements:

• A good 2.1 degree in Computer Science, Mathematics, Electrical or Mechanical Engineering or a related subject

Responsibilities:

• Revolutionise design and manufacturing end-to-end

• Enable the conception, optimisation and production of better products

• Focus on "neural" digital twins, powered by data sources including process monitoring, supply chains, literature and human expert input

Benefits:

• Work in R&D team on state-of-the-art algorithms

• Internal discussions about research papers

• Mentorship and detailed feedback

• Hybrid work

• Office in city center with park view

Education Requirements:

• Bachelor's degree in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• 3+ years of professional experience in data science and machine learning (for Data Scientist)

• 5+ years of professional experience in data science and machine learning (for Senior Data Scientist)

Other Requirements:

• Portfolio of significant real-world projects

• Advanced knowledge of mathematics

• Strong communication skills

• Advanced English and Croatian

Responsibilities:

• Detailed understanding of the domain problem

• Communication with clients

• Data preparation, processing, and analysis

• Developing, testing, and evaluating machine learning models

Benefits:

• Work in R&D team on state-of-the-art algorithms

• Internal discussions about research papers

• Mentorship and detailed feedback

• Hybrid work

• Office in city center with park view

Education Requirements:

• Bachelor's degree in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• 5+ years of professional experience in data science and machine learning

Other Requirements:

• Portfolio of significant real-world projects

• Advanced knowledge of mathematics

• Excellent communication skills

• Experience leading data science projects

• Advanced English and Croatian

Responsibilities:

• Detailed understanding of the domain problem

• Communication with clients

• Data preparation, processing, and analysis

• Developing, testing, and evaluating machine learning models

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision.

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes.

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well.

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases.

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch. Stay on top of evolving literature and drive new research initiatives that keep us ahead of the curve.

Benefits:

• Health, dental, and vision insurance

• Take what you need vacation policy

• Career growth opportunities within a fast-growing AI company

Experience Requirements:

• 5+ years of experience in AI/ML engineering

• Proven track record of working on AI/ML projects from concept to production

• Experience with deploying AI models in production environments

• You write amazing code, fast

Responsibilities:

• join our team and help us build a category-defining product that scales to massive enterprises and high-growth startups alike

• evaluating cutting-edge AI solutions and ensuring their successful implementation in enterprise environments