AI ML Engineer

ML/AI Engineer

Company Overview

We seeking a talented ML/AI Engineer to join our innovative team and drive the development of cutting-edge machine learning solutions. This role offers the opportunity to work with state-of-the-art AI technologies while making a meaningful impact in our organization.

Position Summary

We are looking for an 5 years experienced ML/AI Engineer with strong expertise in building machine learning models and generative AI solutions. The ideal candidate will have hands-on experience with agentic AI systems cloud-based ML platforms and modern AI frameworks. Healthcare industry experience is highly valued but not required.

Key Responsibilities

Model Development & Implementation

• Design develop and deploy robust machine learning models for various business applications
  
• Build and optimize generative AI solutions using latest frameworks and techniques
  
• Implement agentic AI systems that can autonomously perform complex tasks
  
• Develop and maintain ML pipelines from data ingestion to model deployment
  

Cloud & Platform Management

• Leverage Google Cloud Platform (GCP) services for scalable ML infrastructure
  
• Utilize Vertex AI for model training deployment and management
  
• Implement AutoML solutions for rapid prototyping and model development
  
• Ensure model security and compliance using Model Armour and related tools
  

Technical Excellence

• Write clean efficient Python code for ML applications and data processing
  
• Optimize model performance accuracy and computational efficiency
  
• Implement MLOps best practices for continuous integration and deployment
  
• Collaborate with cross-functional teams to integrate ML solutions into existing systems
  

Innovation & Research

• Stay current with latest developments in ML/AI particularly in generative AI and agentic systems
  
• Experiment with new technologies and frameworks to enhance capabilities
  
• Contribute to technical documentation and knowledge sharing initiatives
  

Required Qualifications

Technical Skills

• Strong experience in building ML models with proven track record of successful deployments
  
• Extensive experience in Generative AI including LLMs diffusion models and related technologies
  
• Experience in Agentic AI and understanding of autonomous agent architectures
  
• Proficiency with Model Control Protocol (MCP) for agent communication and control
  
• Advanced Python programming with expertise in ML libraries (scikit-learn TensorFlow PyTorch etc.)
  
• Google Cloud Platform (GCP) experience with ML-focused services
  
• Vertex AI hands-on experience for model lifecycle management
  
• AutoML experience for automated machine learning workflows
  
• Model Armour or similar model security and protection frameworks
  

Professional Experience

• 3 years of experience in machine learning engineering or related field
  
• Demonstrated experience shipping ML models to production environments
  
• Experience with MLOps practices and CI/CD pipelines for ML
  
• Strong understanding of data engineering principles and practices
  

Soft Skills

• Excellent problem-solving abilities and analytical thinking
  
• Strong communication skills for technical and non-technical stakeholders
  
• Ability to work independently and manage multiple projects simultaneously
  
• Collaborative mindset for cross-functional team environments
  

Preferred Qualifications

Healthcare Industry Experience (Bonus)

• Experience developing ML solutions for healthcare applications
  
• Understanding of healthcare data standards (FHIR HL7 DICOM)
  
• Knowledge of healthcare compliance requirements (HIPAA FDA regulations)
  
• Experience with clinical decision support systems or medical imaging
  

Education

• Bachelors degree in Computer Science Machine Learning Data Science or related field
  
• Masters degree preferred but not required with equivalent experience