Genzeon - AI/ML Engineer - Generative AI/LLM

21 hours ago

Delhi, Delhi, India Genzeon Technology Solutions Pvt. Ltd. Full time

Job Title : ML/AI Engineer (GCP)+ Vertex : 5+ of Hire : Contract -Hire / Duration : 6Months extendable


Location : Hyderabad/ Pune (Hybrid) / Remote
Job Description Overview :


We are 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 a 5+ years experience as an 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.

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

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 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

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

- Master's degree preferred but not required with equivalent experience

(ref:hirist.tech)

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