Lead AIML Engineer

Oxiliry is a trusted business process outsourcing partner providing quality resources and delivering scalable efficient and innovative solutions to empower businesses globally. Committed to excellence we streamline operations to drive profitability foster sustainable growth and build lasting partnerships for success.

• Design develop and deploy machine learning and deep learning models for production environments.
  
• Build and optimize data pipelines for training validation and inference.
  
• Implement NLP computer vision predictive analytics or recommendation systems as required.
  
• Ensure model scalability performance and security.
  
• Conduct model evaluation tuning and performance bench marking.
  

• Work closely with Software Engineers CMS teams and Frontend developers for AI feature integration.
  
• Coordinate with DBA and DevOps teams for data management cloud deployment and MLOps practices.
  
• Collaborate with QA/SQA teams to ensure model validation monitoring and reliability.
  
• Support PMO in technical estimations sprint planning and requirement clarifications.
  

• Design scalable AI system architectures (including microservices or headless AI integrations where applicable).
  
• Optimize algorithms for speed accuracy and resource utilization.
  
• Implement monitoring systems for model drift bias detection and performance tracking.
  
• Develop reusable AI components and standardized ML workflows.
  

• Provide technical mentorship to junior AI/ML engineers and data scientists.
  
• Assist Lead Engineer in reviewing model code experimentation frameworks and best practices.
  
• Contribute to internal AI documentation research notes and knowledge repositories.
  

• Bachelors or Masters degree in Computer Science AI Data Science or related field.
  
• 46 years of hands-on experience in AI/ML development.
  
• Strong proficiency in Python and ML frameworks (TensorFlow PyTorch Scikit-learn etc.).
  
• Experience with data preprocessing feature engineering and model optimization techniques.
  
• Knowledge of REST APIs and integration of ML models into production systems.
  
• Familiarity with Agile methodologies and SDLC processes.
  

• Experience with MLOps tools (MLflow Kubeflow SageMaker etc.).
  
• Knowledge of cloud platforms (AWS Azure or GCP) for AI deployment.
  
• Experience in LLMs Generative AI or enterprise AI implementations.
  
• Exposure to SaaS-based AI solutions.
  
• Relevant AI/ML certifications.
  

Be part of Oxiliry and contribute to building scalable efficient and innovative AI solutions while collaborating with cross-functional teams and advancing AI/ML capabilities.