Bozzly Recruiting

We are seeking a detail-oriented and proactive IT Security Analyst to join our technology team. The IT Security Analyst will be responsible for monitoring, analyzing, and responding to security threats across the organization’s systems, networks, and applications. This role is critical in ensuring the confidentiality, integrity, and availability of company data and IT assets.

Key Responsibilities

• Monitor networks and systems for security breaches, suspicious activities, and vulnerabilities.
• Conduct security assessments, vulnerability scans, and penetration testing.
• Respond to security incidents, investigate root causes, and implement corrective actions.
• Maintain and configure security tools such as firewalls, SIEM, IDS/IPS, and endpoint protection.
• Assist in the development and enforcement of security policies, standards, and best practices.
• Perform risk assessments and recommend mitigation strategies.
• Provide user training and awareness programs on cybersecurity practices.
• Stay up to date with emerging security threats, trends, and compliance requirements.

We are looking for a highly skilled DevOps Engineer to join our team. In this role, you will be responsible for building, maintaining, and improving the infrastructure and CI/CD pipelines that support our applications. You will work closely with developers, QA engineers, and IT teams to ensure smooth deployments, scalability, and high system reliability.

Key Responsibilities

• Design, implement, and manage CI/CD pipelines to automate builds, testing, and deployments.
• Develop and maintain cloud infrastructure (AWS, Azure, or GCP).
• Monitor system performance, availability, and security, and resolve issues proactively.
• Implement Infrastructure as Code (IaC) using tools like Terraform, Ansible, or CloudFormation.
• Manage containerization and orchestration platforms (Docker, Kubernetes).
• Collaborate with development teams to optimize software delivery and reliability.
• Ensure system security, compliance, and disaster recovery strategies.
• Continuously evaluate and integrate new DevOps tools and practices.

We are seeking a skilled and innovative Machine Learning Engineer to join our team. In this role, you will design, develop, and deploy machine learning models and systems that solve real-world problems at scale. You will work closely with data scientists, engineers, and product managers to transform data-driven research into production-ready solutions.

Key Responsibilities

• Design, build, and deploy machine learning models into production environments.
• Collaborate with data scientists to transition prototypes into scalable ML solutions.
• Optimize models for performance, scalability, and efficiency.
• Implement and maintain end-to-end ML pipelines (data preprocessing, training, evaluation, deployment).
• Monitor and improve the performance of deployed models.
• Work with large datasets and ensure data quality, consistency, and security.
• Stay up to date with the latest advancements in ML, deep learning, and AI technologies.

We are seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will be responsible for gathering, interpreting, and analyzing data to help drive business decisions. You will work closely with various departments to deliver actionable insights, reports, and visualizations that support strategic initiatives.

Key Responsibilities

• Collect, clean, and validate data from multiple sources.
• Perform exploratory data analysis and generate insights to support decision-making.
• Build dashboards, reports, and visualizations to communicate findings effectively.
• Work with stakeholders to define KPIs and track business performance.
• Identify trends, patterns, and anomalies in large datasets.
• Provide data-driven recommendations for process improvements and business strategies.
• Collaborate with engineers and product teams to ensure data accuracy and integrity.

We are looking for a highly analytical and detail-oriented Data Scientist to join our team. In this role, you will leverage data to generate insights, build predictive models, and support data-driven decision-making. You will work closely with business stakeholders, engineers, and product managers to design and implement data solutions that drive innovation and growth.

Key Responsibilities

• Collect, clean, and analyze large structured and unstructured datasets.
• Develop predictive models, machine learning algorithms, and statistical analyses.
• Translate business requirements into data science solutions.
• Communicate insights and recommendations through clear visualizations, reports, and presentations.
• Collaborate with data engineers to deploy models into production.
• Evaluate model performance and continuously improve accuracy and efficiency.
• Stay updated with the latest trends in data science, AI, and machine learning.