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AI ML Engineer

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Genzeon

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Location:
India , hyderabad

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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

Requirements:

  • 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
  • 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
  • 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
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field

Nice to have:

  • Healthcare Industry Experience
  • 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
  • Master's degree preferred but not required with equivalent experience

Additional Information:

Job Posted:
December 08, 2025

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