דרושים Learning Business Partner ב-Cognyte ב-Bulgaria, Sofia

For over 30 years, our teams around the globe have combined deep expertise, technology, and purpose - all driven by our value ofdoing good.

You’ll work closely with teams across R&D, Sales, and Support to identify needs,, develop engaging learning experiences, and drive measurable growth.

As a Cognyter you will:

• Partner with business leaders to understand goals, challenges, and skill gaps - and turn them into actionable learning and enablement programs.
• Lead learning needs analysis , define clear KPIs, and develop end-to-end learning solutions , from onboarding to upskilling to performance support.
• Design and implement blended learning journeys using digital, live, and AI-based learning development tools .
• Collaborate with subject matter experts to create high-quality, relevant content.
• Manage learning projects with structure, clarity, and a bias for execution.
• Measure impact, analyze results, and continuously improve programs.
• Lead change and adoption of new learning and performance practices across global teams.
• Work closely with technical teams to translate complex, technical knowledge into engaging and accessible learning experiences.

For that mission you will need:

• 5+ years of experience in Learning & Development or a related field.
• Proven ability to design scalable learning programs that drive measurable performance, in global or matrixed organizations.
• Strong understanding of instructional design, digital learning, and AI-powered tools.
• Ability to translate complex business and technical needs into clear learning strategies.
• High technical orientation – ability and interest in learning and creating content on highly technical topics.
• Excellent communication, collaboration, and stakeholder management skills.
• Agile mindset, curiosity, and passion for innovation.
• Degree in Education, Learning & Development, Instructional Design , or a related field.
• Experience in developing technical learning for R&D teams – a strong advantage.
• Familiarity with Cornerstone LMS – an advantage.
• Fluent English – written and spoken.
• An endlessly curious mind

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For 30 years, the incredible minds at
Cognyte

will be responsible for identifying, developing and deploying end-user solutions on different systems and applications such as JIRA, Cornerstone, Monday etc., ensuring that client business requirements are met while providing a variety of advisory services around project management, business process development, implementation support and end-user training.

As a Cognyter you will:

• Help determine and translate customer needs into a solution and approach
• Plan, track and manage projects
• Write detailed designs for the development team and work closely to ensure development is executed according to the designs
• Define, map and analyze business processes and design technology solutions to enhance business operations around industry best practices Analyze business “to-be”, inspect “as-is” and perform gap analysis to develop recommendations to achieve objectives
• Understand and make recommendations on technical software design and specifications
• Help with testing the developments
• Be a team player and work in collaboration with the rest of the team
• Manage day to day work, solve problems, find mitigations and manage risks

For that mission you’ll need:

• Bachelor’s degree in IT or Business/Engineering
• 3+ years of experience in an IT Business Analyst or similar role
• 2+ years of experience working with Atlassian products such as JIRA and Confluence, SP, Monday
• Experience working with enterprise-wide systems
• Experience in leading large-scale projects from requirements gathering to effectively communicating with the business and technical team
• Excellent analytical and problem-solving skills, attention to detail and ability to document both functional information and processes
• Possess communication skills in English: verbal, written and presentation
• Ability to partner with software development team members, to communicate a detailed understanding of business requirements

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For 30 years, the incredible minds at
Cognyte

will be responsible for identifying, developing and deploying end-user solutions on different systems and applications such as JIRA, Cornerstone, Monday etc., ensuring that client business requirements are met while providing a variety of advisory services around project management, business process development, implementation support and end-user training.

As a Cognyter you will:

• Help determine and translate customer needs into a solution and approach
• Plan, track and manage projects
• Write detailed designs for the development team and work closely to ensure development is executed according to the designs
• Define, map and analyze business processes and design technology solutions to enhance business operations around industry best practices Analyze business “to-be”, inspect “as-is” and perform gap analysis to develop recommendations to achieve objectives
• Understand and make recommendations on technical software design and specifications
• Help with testing the developments
• Be a team player and work in collaboration with the rest of the team
• Manage day to day work, solve problems, find mitigations and manage risks

For that mission you’ll need:

• Bachelor’s degree in IT or Business/Engineering
• 3+ years of experience in an IT Business Analyst or similar role
• 2+ years of experience working with Atlassian products such as JIRA and Confluence, SP, Monday
• Experience working with enterprise-wide systems
• Experience in leading large-scale projects from requirements gathering to effectively communicating with the business and technical team
• Excellent analytical and problem-solving skills, attention to detail and ability to document both functional information and processes
• Possess communication skills in English: verbal, written and presentation
• Ability to partner with software development team members, to communicate a detailed understanding of business requirements

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For 30 years, the incredible minds at

Our product:

Our analytics platform powers our portfolio. Data is growing rapidly and is highly fragmented across different departments, and organizations are looking to adopt open software to keep up with the pace of technology. These market shifts require security organizations to deploy an analytics platform that can connect different solutions from eitheror third parties to effectively develop new capabilities.

As a Cognyter you will:

• Research and Design Machine Learning models in Computer Vision / NLP to solve business challenges and meet product goals
• Extract, transform and load raw data into formats suitable for model training
• Train, evaluate and optimize Machine Learning models for both accuracy and scalability
• Productionize Machine Learning models as containerized microservices with high-quality, modular code, following best practices for deployment and monitoring
• Deploy Machine Learning models on cloud-native infrastructure, including Google Kubernetes Engine (GKE) and on-prem Kubernetes clusters
• Design and implement an end-to-end Machine Learning pipeline infrastructure

For that mission you’ll need:

• Bachelor's and/or Master's degree in IT engineering, physics, bioinformatics, mathematics, data science or similar field (or equivalent experience)
• 3+ years' experience in similar positions, working with Deep Learning and/or traditional Machine Learning models
• 3+ years' experience building microservices using Python and frameworks such as FastAPI/Flask/Django
• Experience with data analysis tools such as: pandas, NumPy, Matplotlib, Jupyter/Colab
• Experience with distributed systems, microservice architectures and cloud native platforms

Tech stack:

• Infra: Git, Bash
• Containers: Docker
• Machine Learning frameworks: Scikit-learn
• Deep Learning frameworks: TensorFlow/PyTorch/Hugging Face
• MLOps: Kubeflow, MLflow, Helm, Kubernetes, CI/CD pipelines

Nice to have:

• Related personal projects in Github/Kaggle or similar platforms
• Finished courses in Machine Learning and/or Deep Learning
• Understanding of deep learning model architectures: Transformers, CNNs, RNNs (LSTM/GRU)
• Knowledge of (Graph)-RAG (Retrieval-Augmented Generation) and Agents

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For 30 years, the incredible minds at

Our product:

Our analytics platform powers our portfolio. Data is growing rapidly and is highly fragmented across different departments, and organizations are looking to adopt open software to keep up with the pace of technology. These market shifts require security organizations to deploy an analytics platform that can connect different solutions from eitheror third parties to effectively develop new capabilities.

As a Cognyter you will:

• Research and Design Machine Learning models in Computer Vision / NLP to solve business challenges and meet product goals
• Extract, transform and load raw data into formats suitable for model training
• Train, evaluate and optimize Machine Learning models for both accuracy and scalability
• Productionize Machine Learning models as containerized microservices with high-quality, modular code, following best practices for deployment and monitoring
• Deploy Machine Learning models on cloud-native infrastructure, including Google Kubernetes Engine (GKE) and on-prem Kubernetes clusters
• Design and implement an end-to-end Machine Learning pipeline infrastructure

For that mission you’ll need:

• Bachelor's and/or Master's degree in IT engineering, physics, bioinformatics, mathematics, data science or similar field (or equivalent experience)
• 3+ years' experience in similar positions, working with Deep Learning and/or traditional Machine Learning models
• 3+ years' experience building microservices using Python and frameworks such as FastAPI/Flask/Django
• Experience with data analysis tools such as: pandas, NumPy, Matplotlib, Jupyter/Colab
• Experience with distributed systems, microservice architectures and cloud native platforms

Tech stack:

• Infra: Git, Bash
• Containers: Docker
• Machine Learning frameworks: Scikit-learn
• Deep Learning frameworks: TensorFlow/PyTorch/Hugging Face
• MLOps: Kubeflow, MLflow, Helm, Kubernetes, CI/CD pipelines

Nice to have:

• Related personal projects in Github/Kaggle or similar platforms
• Finished courses in Machine Learning and/or Deep Learning
• Understanding of deep learning model architectures: Transformers, CNNs, RNNs (LSTM/GRU)
• Knowledge of (Graph)-RAG (Retrieval-Augmented Generation) and Agents

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For 30 years, the incredible minds at

Our product:

Our analytics platform powers our portfolio. Data is growing rapidly and is highly fragmented across different departments, and organizations are looking to adopt open software to keep up with the pace of technology. These market shifts require security organizations to deploy an analytics platform that can connect different solutions from eitheror third parties to effectively develop new capabilities.

As a Cognyter you will:

• Research and Design Machine Learning models in Computer Vision / NLP to solve business challenges and meet product goals
• Extract, transform and load raw data into formats suitable for model training
• Train, evaluate and optimize Machine Learning models for both accuracy and scalability
• Productionize Machine Learning models as containerized microservices with high-quality, modular code, following best practices for deployment and monitoring
• Deploy Machine Learning models on cloud-native infrastructure, including Google Kubernetes Engine (GKE) and on-prem Kubernetes clusters
• Design and implement an end-to-end Machine Learning pipeline infrastructure

For that mission you’ll need:

• Bachelor's and/or Master's degree in IT engineering, physics, bioinformatics, mathematics, data science or similar field (or equivalent experience)
• 3+ years' experience in similar positions, working with Deep Learning and/or traditional Machine Learning models
• 3+ years' experience building microservices using Python and frameworks such as FastAPI/Flask/Django
• Experience with data analysis tools such as: pandas, NumPy, Matplotlib, Jupyter/Colab
• Experience with distributed systems, microservice architectures and cloud native platforms

Tech stack:

• Infra: Git, Bash
• Containers: Docker
• Machine Learning frameworks: Scikit-learn
• Deep Learning frameworks: TensorFlow/PyTorch/Hugging Face
• MLOps: Kubeflow, MLflow, Helm, Kubernetes, CI/CD pipelines

Nice to have:

• Related personal projects in Github/Kaggle or similar platforms
• Finished courses in Machine Learning and/or Deep Learning
• Understanding of deep learning model architectures: Transformers, CNNs, RNNs (LSTM/GRU)
• Knowledge of (Graph)-RAG (Retrieval-Augmented Generation) and Agents