Current Openings

Computer Vision and AI Engineer

Location: Remote

Job Summary:

We are seeking a talented Computer Vision and AI Engineer to join our innovative team. In this role, you will develop, optimize, and deploy computer vision algorithms and AI models for a variety of applications. You will collaborate with cross-functional teams to solve complex visual recognition challenges and enhance our AI-driven products.

Key Responsibilities:

Design and implement computer vision algorithms for object detection, image segmentation, and feature extraction.
Develop deep learning models to solve visual recognition problems, including training, evaluation, and deployment.
Optimize models for performance and accuracy in real-time and large-scale environments.
Collaborate with software engineers to integrate computer vision solutions into existing systems and applications.
Research and stay up-to-date with the latest advancements in computer vision and AI to continually improve our technology stack.
Analyze data sets to fine-tune AI models and improve the overall effectiveness of our solutions.
Debug and troubleshoot issues related to algorithm performance and deployment.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
Proficiency in programming languages such as Python, C++, or Java.
Experience with deep learning models, especially in the context of computer vision.
Familiarity with GPU computing and parallel processing for large-scale model training.
Strong problem-solving skills and the ability to work in a collaborative team environment.
Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

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Cyber Security Analyst

Location: Remote

Job Summary:

We are looking for a skilled Cyber Security Analyst to protect our organization's computer systems and networks from cyber threats. The ideal candidate will have a strong understanding of security protocols, ethical hacking, and threat prevention. You will monitor our systems for security breaches, analyze threats, and develop strategies to improve our security posture.

Key Responsibilities:

Monitor network traffic for security incidents and threats, and respond to breaches in a timely manner.
Conduct vulnerability assessments and penetration testing to identify potential risks.
Develop and implement security measures and policies to safeguard sensitive information.
Investigate and respond to security incidents, including conducting forensic analysis and producing incident reports.
Work with IT teams to ensure that security controls are implemented and functioning as expected.
Stay informed about the latest security trends, threats, and technology developments.
Provide training and guidance to employees on best security practices and protocols.

Qualifications:

Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field.
Proven experience as a Cyber Security Analyst or in a similar role.
Strong knowledge of network security protocols, firewalls, VPNs, IDS/IPS, and encryption methods.
Proficiency in security tools and software, such as SIEM, vulnerability scanners, and endpoint protection.
Experience with ethical hacking techniques and penetration testing.
Excellent problem-solving and analytical skills.
Strong attention to detail and the ability to work independently and as part of a team.
Relevant certifications such as CISSP, CEH, or CompTIA Security+ are highly desirable.

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Machine Learning Engineer

Location: Remote

Job Summary:

We are seeking a Machine Learning Engineer to develop and deploy machine learning models that drive our data-driven products and services. The ideal candidate will have a deep understanding of machine learning algorithms and a passion for turning data into actionable insights. You will collaborate with data scientists, software engineers, and product teams to build scalable ML solutions.

Key Responsibilities:

Design, develop, and deploy machine learning models for a variety of applications, including predictive analytics, natural language processing, and recommendation systems.
Work with large data sets to train, validate, and optimize machine learning models.
Collaborate with cross-functional teams to integrate machine learning algorithms into existing products and services.
Develop data pipelines to support machine learning workflows, including data preprocessing, feature extraction, and model evaluation.
Monitor and maintain the performance of deployed models, making adjustments as needed to improve accuracy and efficiency.
Research and implement the latest machine learning techniques and tools to stay at the forefront of the field.
Communicate results and insights to stakeholders, explaining complex technical concepts in an accessible manner.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
Strong experience with machine learning frameworks and tools, such as TensorFlow, Scikit-learn, or Keras.
Proficiency in programming languages such as Python, R, or Java.
Experience with big data technologies, such as Hadoop or Spark, is a plus.
Strong understanding of statistical modeling, data mining, and machine learning algorithms.
Ability to work with structured and unstructured data, including text, images, and time series data.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Strong communication skills and the ability to present findings to both technical and non-technical audiences.

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