Career

Role:

Build, train, and optimize machine learning models that power our AI products.

Key Responsibilities:

  • Develop ML models for prediction, classification, and recommendation
  • Work with large datasets and feature engineering
  • Deploy models into production (API / batch / real-time)
  • Continuously improve model accuracy and performance

Skills:

  • Python, NumPy, Pandas, Scikit-learn, TensorFlow / PyTorch
  • Strong understanding of ML algorithms
  • Experience with REST APIs and model deployment

Role:

Turn AI models into real-world, customer-facing products.

Key Responsibilities:

  • Integrate ML models into web and mobile products
  • Collaborate with product and design teams
  • Build scalable AI-driven features
  • Monitor model behavior in production

Skills:

  • Python / Node.js
  • Experience with AI APIs (OpenAI, HuggingFace, etc.)
  • Frontend or backend product development experience
  • Strong problem-solving mindset

Role:

Extract insights from data and guide model decisions for AI-driven products.

Key Responsibilities:

  • Analyze user and system data to improve AI outcomes
  • Design experiments and evaluate model performance
  • Create dashboards and reports for stakeholders
  • Support ML engineers with data insights

Skills:

  • Python, SQL
  • Statistics & probability
  • Data visualization tools (Power BI, Tableau, or Python libs)
  • Experience working with product metrics

Role:

Build and maintain infrastructure that powers scalable AI systems.

Key Responsibilities:

  • Design ML pipelines (training → validation → deployment)
  • Automate model versioning and monitoring
  • Optimize performance and cost
  • Ensure reliability of AI systems

Skills:

  • Docker, Kubernetes
  • CI/CD for ML
  • Cloud platforms (AWS / GCP / Azure)
  • Model monitoring & logging tools

Role:

Explore and implement cutting-edge AI/ML techniques to keep our products ahead.

Key Responsibilities:

  • Research new ML and AI approaches
  • Prototype and test experimental models
  • Collaborate with engineering to productionize research
  • Stay updated with latest AI trends and papers

Skills:

  • Strong ML fundamentals
  • Experience reading and implementing research papers
  • Python, PyTorch / TensorFlow
  • Curiosity-driven mindset

Role:

Design, develop, and maintain scalable software systems that power Vynelixai’s AI-driven platforms and digital solutions.

Key Responsibilities:

  • Develop and maintain web applications, APIs, and backend services
  • Collaborate with AI/ML teams to integrate intelligent features into products
  • Write clean, scalable, and well-documented code
  • Optimize application performance, security, and reliability
  • Participate in code reviews, testing, and deployment processes
  • Troubleshoot, debug, and upgrade existing systems

Skills:

  • Proficiency in Python / JavaScript / Node.js / Java
  • Experience with frontend frameworks (React / Angular / Vue)
  • Strong understanding of databases (MySQL, PostgreSQL, MongoDB)
  • Experience with REST APIs and microservices architecture
  • Knowledge of cloud platforms (AWS / Azure / GCP)
  • Understanding of DevOps practices and CI/CD pipelines