iGenius

👥 101-250💰 $20,161,290 Series A almost 3 years agoArtificial Intelligence (AI)Business Intelligence Analytics Information Technology💼 Private Company

Website LinkedIn Email Twitter

iGenius is a high-growth scaleup focused on disrupting the B2B data industry by providing accessible data intelligence through its innovative virtual advisor, crystal. Founded in 2016 by Uljan Sharka, the company has received recognition as one of Italy's top startups and a leading SaaS provider in Europe.

Related companies:

🏢 SandboxAQ

👥 101-250💰 $25,000,000 Grant 7 months agoArtificial Intelligence (AI)SaaS Information Technology Cyber Security

Website LinkedIn Email

🏢 Fieldguide

👥 101-250💰 $30,000,000 Series B about 1 year agoArtificial Intelligence (AI)Document Management

Website LinkedIn Email Twitter

🏢 Cresta

👥 101-250💰 $125,000,000 Series D 6 months agoAutomotive Customer Service Artificial Intelligence (AI)Intelligent Systems Retail Machine Learning Telecommunications Natural Language Processing Software

Website LinkedIn Email Facebook Twitter

Jobs at this company:

Apply

🔥 AI Researcher

Posted 2 months ago

📍 India

🔍 Artificial Intelligence

🔧 Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master's degree with exceptional research experience will be considered)
Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, ICLR)
Deep understanding of machine learning principles, particularly deep learning and transformer-based architectures
Expertise in large language models, generative AI, and natural language processing
Experience with machine learning frameworks like PyTorch or TensorFlow
Strong programming skills in Python and related ML/data science libraries
Excellent analytical and mathematical skills, including statistics and linear algebra
Experience with large-scale model training and distributed computing

💡 Responsibilities

Conduct cutting-edge research in natural language processing, language models, and generative AI to advance the state-of-the-art in these fields
Design, develop, and implement novel machine learning algorithms and techniques specifically for LLMs
Analyze and interpret complex datasets, particularly in text and language domains
Collaborate with cross-functional teams including engineers, data scientists, and product managers to translate research into practical applications
Stay current with the latest AI research, particularly in LLMs, by reading academic papers, attending conferences, and engaging with the research community
Publish research findings in top-tier academic journals and conferences, enhancing iGenius reputation as a leader in AI research
Develop prototypes to demonstrate the feasibility and potential of new AI approaches
Mentor junior researchers and contribute to the growth of our research team
Contribute to the responsible development of AI by addressing issues of bias, fairness, and transparency in language models

Posted 2 months ago

Apply

🔥 AI Engineer

Posted 2 months ago

📍 India

🔍 Artificial Intelligence

🔧 Requirements

3+ years of hands-on experience implementing and optimizing machine learning models
Strong programming skills in Python and related ML frameworks (PyTorch, TensorFlow)
Experience with deploying and scaling AI models in production environments
Familiarity with large language models, transformer architectures, and generative AI
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies
Understanding of software engineering best practices (version control, CI/CD, testing)
Experience with ML engineering tools and platforms (MLflow, Kubeflow, etc.)

💡 Responsibilities

Implement and optimize large language models and generative AI systems for production environments
Collaborate with researchers to translate research prototypes into scalable, efficient implementations
Design and develop AI infrastructure components for model training, fine-tuning, and inference
Optimize AI models for performance, latency, and resource utilization
Implement systems for model evaluation, monitoring, and continuous improvement
Develop APIs and integration points for AI services within our product ecosystem
Troubleshoot complex issues in AI systems and implement solutions
Contribute to the development of internal tools and frameworks for AI development
Stay current with emerging techniques in AI engineering and LLM deployment
Collaborate with data engineers to ensure proper data flow for AI systems
Implement safety measures, content filtering, and responsible AI practices

Posted 2 months ago

Apply

🔥 AI Research Scientist

Posted 3 months ago

📍 Italy

🧭 Full-Time

💸 50000.0 - 80000.0 EUR per year

🔍 Artificial Intelligence

🔧 Requirements

PhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience.
Expertise in generative modeling, including autoregressive transformers, diffusion models, or VAEs.
Expertise in reinforcement learning, particularly RLHF, multi-agent systems, or reward modeling.
Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).

💡 Responsibilities

NOT STATED

PythonArtificial IntelligenceMachine LearningNumpyPyTorchAlgorithmsTensorflowResearchA/B testing

Posted 3 months ago

Apply

🔥 AI Research Engineer

Posted 4 months ago

📍 Italy

🧭 Full-Time

🔍 Artificial Intelligence

🔧 Requirements

PhD in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
At least 5 years of proven experience as an AI research engineer, or more than 2 years of experience with a PhD.
Extensive expertise in deep learning fundamentals including model validation, regression, and classification techniques.
Strong knowledge in at least one of NLP, Information Retrieval, Conversational AI, or Computer Vision.
Strong Python programming skills and experience.
Knowledge of version control systems, e.g., Git.
Proficiency in PyTorch.

💡 Responsibilities

Investigate, assess, and refine cutting-edge AI models.
Act as a bridge between research and production.
Improve the research codebase, advocating for code reuse and best practices.
Manage large datasets, overseeing acquisition, labeling, and data loaders.
Collaborate closely with software engineers to deploy models in production.
Contribute to the design of advanced internal tools and technologies.
Work with Product Engineering teams to address AI needs.
Stay updated with the latest trends and share knowledge with the team.

PythonGitMachine LearningPyTorch

Posted 4 months ago

Apply

🔥 Senior Financial AI Specialist

Posted 4 months ago

📍 United States

🧭 Full-Time

🔍 Financial Services

🔧 Requirements

Advanced degree in Finance, Economics, AI, Product Design or a related field.
7+ years of experience in financial services, with a deep subject matter expertise and a strong AI application mindset.
Knowledge of financial modeling, trading strategies, and risk models
Familiarity with AI frameworks and tools, including NLP and prompt engineering.
Strong interpersonal and communication skills.
Product/Solution-Mindset with the ability to own and lead projects from A-Z is a must.

💡 Responsibilities

Collaborate with AI and engineering teams to develop domain-specific models to support financial workflows in trading, portfolio and risk management and define / design the relevant skills of Agentic AI in these domains
Provide expertise in trading, portfolio optimization, risk metrics and regulatory compliance to ensure models meet industry standards.
Act as a liaison between technical teams and financial stakeholders.
Drive adoption of AI solutions by providing training and support to end users.
Have a product mindset able to spec products, present product strategy and commercials to leadership and clients and lead the product development lifecycle from A-Z
Lead efforts to incorporate financial regulations into AI model design.

Posted 4 months ago

Apply

🔥 Senior AI / Software Engineer

Posted 4 months ago

📍 United States

🔍 AI and financial services

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science or Engineering.
7+ years of experience in AI engineering with a proven track record of delivering scalable AI solutions ideally on financial systems.
Superb Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit-learn.
Experience with large language models and applied machine learning fields such as Recommender Systems, NLP, and Time Series.
Proficiency in cloud infrastructure, including AWS, Google Cloud, Azure.
Strong understanding of MLOps practices and tools.
Solid experience with Python, Docker, Kubernetes, CI/CD tools, and deep learning frameworks.

💡 Responsibilities

Build and maintain Agentic AI Systems capable of delivering complex tasks such as optimizing portfolio construction and evolving trading strategies in the financial industry.
Develop APIs and integration tools to embed AI models into financial platforms.
Ensure AI models are secure, auditable, and compliant with industry standards.
Optimize model performance and scalability for real-time use cases.
Collaborate with data scientists and financial SMEs to translate business requirements into technical solutions.

AWSDockerPythonSQLApache AirflowKubernetesMachine LearningMongoDBPyTorchSnowflakeData scienceTensorflowCI/CD

Posted 4 months ago

Apply

🔥 Senior AI Research Scientist

Posted 4 months ago

📍 United States

🔍 Financial services

🔧 Requirements

Ph.D. in Computer Science, Machine Learning, or related fields.
8+ years of experience in AI research, preferably in financial services.
Good knowledge in at least one of the following applied machine learning fields: Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, Knowledge Graph.
Proven track record of working with large language models and developing LLM applications using prompt engineering and fine-tuning.
Experience in creating end-to-end MLOps/LLMOps pipelines for continuous monitoring and improvement.
Experience with Transformer/Attention architecture for various text processing tasks.
Superb Python programming skills and experience with data science libraries.
Strong publication record in top-tier journals is a plus.
Excellent problem-solving skills and a growth mindset.

💡 Responsibilities

Lead research initiatives to develop novel AI models for financial applications.
Design algorithms for portfolio optimization, legal insights, and risk analytics.
Collaborate with global teams to implement research findings into production-grade systems.
Publish research in peer-reviewed journals and present findings at industry conferences.
Provide thought leadership and drive innovation across AI initiatives.

PythonMachine LearningNumpyData sciencePandas

Posted 4 months ago

Apply

🔥 Senior Data Scientist

Posted 4 months ago

📍 United States

🔍 Financial services

🔧 Requirements

Advanced degree (Ph.D. or Master’s) in Computer Science, Finance, Mathematics, or a related field.
7+ years of experience in AI and machine learning, with at least 3 years in the financial sector.
Good knowledge in applied machine learning fields such as Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, or Knowledge Graph.
Experience with Transformer/Attention architecture for various NLP tasks.
Superb Python programming skills with experience in data science libraries like NumPy, Pandas, and Scikit-learn.
Proficiency in TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP).
Strong understanding of financial workflows, including portfolio management and risk assessment.
Excellent leadership, problem-solving, communication skills.

💡 Responsibilities

Research, develop, and implement cutting-edge machine learning models, focusing on NLP, predictive analytics, and AI governance.
Collaborate with Financial SMEs to ensure AI models align with industry practices and regulatory frameworks.
Design scalable MLOps pipelines for real-time AI applications.
Lead the research and deliver agentic AI Systems capable of delivering complex tasks such as optimizing portfolio construction and evolving trading strategies.
Ensure adherence to Responsible AI principles, prioritizing transparency, fairness, and accountability.
Mentor junior data scientists and provide technical guidance to cross-functional teams.

AWSPythonCloud ComputingMachine LearningNumpyPyTorchData sciencePandasTensorflow

Posted 4 months ago

Apply

🔥 Machine Learning Engineer

Posted 5 months ago

📍 Italy

🧭 Full-Time

🔍 AI solutions for regulated industries

🔧 Requirements

A Master’s Degree or PhD in quantitative fields, like Computer Science, Engineering, Stats, Math, or Physics.
At least 2 years of proven experience as a Machine Learning Engineer (or a PhD).
Understanding of the fundamentals of statistics and machine learning.
Knowledge in at least one applied machine learning field.
Superb Python programming skills and experience with data science libraries.
Experience with deep learning models using TensorFlow or PyTorch.
Knowledge of version control systems and container tools.

💡 Responsibilities

Work side-by-side with Developers, Designers, and Data Scientists to understand customers’ needs.
Propose insightful solutions and implement/test machine learning models as efficient services integrated into the product ecosystem.
Explore state-of-the-art Machine Learning research to improve current products and develop new ones.
Continuously improve your scientific and engineering skills while mentoring others.

DockerPythonSQLGitMachine LearningNumpyPyTorchPandasTensorflow

Posted 5 months ago

Apply

🔥 AI Software Engineer

Posted 7 months ago

📍 Italy

🧭 Full-Time

🔍 Artificial Intelligence

🔧 Requirements

At least four years of proven experience in a data engineer role.
A degree in Computer Science, Applied Math, Informatics, Information Systems or similar.
Experience building processes for data transformation, data structure, metadata, dependency, and workload management.
Advanced working knowledge of relational databases and familiarity with SQL and NoSQL.
Experience building and optimizing data pipelines and architectures.
Proficient in Python or Scala.
Experience with distributed computing and object-oriented design.
Knowledge of pipeline and workflow management tools (e.g., Airflow, Argo Workflows).
Experience with CI/CD tools (e.g., Jenkins, Travis, Argo CD, Terraform).
Good understanding of Cloud and data models (data warehouse, data lake).
Experience with MLOps and HPC is a plus.

💡 Responsibilities

Create and maintain optimal data pipeline architectures.
Assemble large, complex data sets that meet functional and business requirements.
Identify, design, and implement improvements to internal practices such as automating manual processes.
Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources.

PythonSQLAgileJenkinsAirflowNosqlCollaborationCI/CDScala

Posted 7 months ago

Apply

Shown 10 out of 12