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