We’re looking for a talented Machine Learning Engineer to join our remote team at PLYXIO. You’ll design, build, and deploy machine learning models that drive innovation across our digital projects. From predictive analytics to AI automation, you’ll work closely with developers and data teams to bring intelligent solutions to life.

Responsibilities:

• Develop and implement scalable machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate ML solutions into existing products.
• Preprocess, clean, and analyze large datasets for model training and testing.
• Optimize model performance, accuracy, and efficiency.
• Research emerging AI/ML techniques and recommend practical applications.
• Deploy models using cloud environments and APIs.

Requirements:

• Strong Python skills (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
• Experience with ML pipelines, APIs, and model deployment.
• Understanding of data structures, statistics, and model evaluation.
• Experience with cloud-based ML tools (AWS SageMaker, Google AI, Azure ML) is a plus.

We’re hiring a Data Analyst to transform raw data into meaningful insights that drive decisions for PLYXIO and our clients. The ideal candidate is analytical, detail-oriented, and passionate about turning numbers into actionable business strategies.

Responsibilities:

• Collect, clean, and analyze data from multiple sources.
• Develop dashboards, visualizations, and reports for internal and client use.
• Identify trends, patterns, and opportunities in data to guide decision-making.
• Work closely with marketing, development, and management teams to provide insights.
• Automate recurring reporting tasks and support data-driven product strategies.

Requirements:

• Bachelor’s degree in Statistics, Computer Science, Economics, or related field.
• Proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, Looker, or Google Data Studio).
• Strong understanding of analytics, KPIs, and data storytelling.
• Basic knowledge of Python or R for data analysis is a plus.
• Excellent communication and problem-solving skills.

PLYXIO is seeking a skilled AI Cloud Architect to design and manage scalable, secure, and high-performance cloud infrastructures for AI and machine learning solutions. You’ll play a key role in architecting cloud systems that support AI model deployment, automation, and performance optimization across client projects.

Responsibilities:

• Design cloud architecture for AI/ML workloads across AWS, Azure, or Google Cloud.
• Implement CI/CD pipelines and MLOps practices for scalable AI deployments.
• Ensure system security, performance, and cost efficiency.
• Collaborate with developers, data engineers, and ML teams to align infrastructure with project goals.
• Research and integrate new cloud-based AI services and automation tools.

Requirements:

• Proven experience as a Cloud Architect or AI Infrastructure Engineer.
• Deep knowledge of AWS, Azure, or GCP services for AI (SageMaker, Vertex AI, etc.).
• Strong understanding of Docker, Kubernetes, and container orchestration.
• Experience with Terraform or CloudFormation for infrastructure automation.
• Familiarity with AI pipelines, APIs, and data storage solutions.