Job Openings at AFEX

About the job

• As a DevOps Engineer, you will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines for our applications at the Commodities Exchange.
• You will collaborate with development teams, system administrators, and other stakeholders to ensure smooth and efficient software delivery.
• Your expertise in cloud platforms, automation, and infrastructure as code will contribute to the scalability, reliability, and security of our systems

Responsibilities

• Design, implement, and maintain scalable and secure infrastructure on cloud platforms such as AWS and Azure
• Collaborate with development teams to establish and maintain efficient CI/CD pipelines for application deployment and delivery.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform, ensuring consistent and repeatable deployments.
• Implement and maintain containerization technologies such as Docker for application deployment and scalability.
• Configure and manage orchestration platforms like Kubernetes for container orchestration and management.
• Monitor and optimize system performance, availability, and scalability through proactive monitoring and alerting.
• Collaborate with cross-functional teams to define and implement best practices for configuration management and infrastructure automation.
• Implement and manage automated testing and quality assurance processes within the CI/CD pipeline.
• Work closely with security teams to ensure the compliance and security of infrastructure and applications.
• Stay up to date with emerging trends and technologies in DevOps, cloud platforms, and automation tools.
• Provide technical guidance and support to development teams on infrastructure-related matters.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or related field
• At least 3 years of experience in a DevOps or related role
• Strong experience with cloud platforms, particularly AWS and Azure, including infrastructure provisioning, configuration, and management.
• Proficiency in at least one programming language, such as Python or Node.js
• Experience with containerization technologies, especially Docker, and container orchestration tools like Kubernetes Hands-on experience with infrastructure as code tools, preferably Terraform.
• Familiarity with CI/CD tools and processes, such as Jenkins, Bitbucket CI/CD, or CircleCI
• Knowledge of configuration management tools, such as Ansible, Chef, or Puppet
• Experience with monitoring and logging tools like Prometheus, Grafana, ELK stack, Gray log or similar
• Strong understanding of networking concepts and security best practices
• Familiarity with agile methodologies and collaborative development environments
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills

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Job Summary

• We are seeking a highly motivated and experienced Machine Learning & AI Engineer to join our team.
• The successful candidate will be responsible for developing and implementing machine learning models for visual and natural language processing applications, as well as robotics.
• The ideal candidate should have a strong background in machine learning, deep learning, computer vision, image processing, natural language processing, and robotics.

Duties & Responsibilities

• Design and develop machine learning models for visual and natural language processing applications, as well as robotics. 
• Implement and test machine learning algorithms for image and video recognition, object detection, and segmentation, as well as robotics. 
• Develop natural language processing models for text classification, sentiment analysis, and entity recognition. 
• Collaborate with cross-functional teams to integrate machine learning models into products and robotic systems. 
• Evaluate and improve the performance of existing machine learning models for robotics. 
• Apply computational statistics, mathematical optimization, data mining, exploratory data analysis, and predictive analytics to improve robotic systems. 
• Keep up-to-date with the latest advancements in machine learning, computer vision, natural language processing, and robotics. 

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering,  Robotics, Statistics, Mathematics, or any other related field. 
• Minimum of 3 years of experience in machine learning and artificial intelligence. 
• Strong knowledge of machine learning algorithms and deep learning frameworks (TensorFlow, PyTorch, Keras, etc.) and data analysis. 
• Hands-on experience in developing and implementing computer vision and image processing models. 
• Strong knowledge of natural language processing techniques (e.g., NER, sentiment analysis, text classification, etc.). 
• Experience in robotics and familiarity with robotic systems is a plus. 
• Proficient in Python programming language and its libraries (e.g., NumPy, Pandas, Scikit-learn, etc.). 
• Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created 
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production 
• Use data modelling and evaluation strategy to find patterns and predict unseen instances. 
• Strong communication and teamwork skills.
• Excellent problem-solving and analytical skills. 
• Ability to work in a fast-paced and dynamic environment.