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 applicationsBuild and optimize generative AI solutions using latest frameworks and techniquesImplement agentic AI systems that can autonomously perform complex tasksDevelop and maintain ML pipelines from data ingestion to model deploymentCloud & Platform Management :
Leverage Google Cloud Platform (GCP) services for scalable ML infrastructureUtilize Vertex AI for model training, deployment, and managementImplement AutoML solutions for rapid prototyping and model developmentEnsure model security and compliance using Model Armour and related toolsTechnical Excellence :
Write clean, efficient Python code for ML applications and data processingOptimize model performance, accuracy, and computational efficiencyImplement MLOps best practices for continuous integration and deploymentCollaborate with cross-functional teams to integrate ML solutions into existing systemsInnovation & Research :
Stay current with latest developments in ML / AI, particularly in generative AI and agentic systemsExperiment with new technologies and frameworks to enhance capabilitiesContribute to technical documentation and knowledge sharing initiativesRequired Qualifications Skills :
Strong experience in building ML models with proven track record of successful deploymentsExtensive experience in Generative AI including LLMs, diffusion models, and related technologiesExperience in Agentic AI and understanding of autonomous agent architecturesProficiency with Model Control Protocol (MCP) for agent communication and controlAdvanced Python programming with expertise in ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)Google Cloud Platform (GCP) experience with ML-focused servicesVertex AI hands-on experience for model lifecycle managementAutoML experience for automated machine learning workflowsModel Armour or similar model security and protection frameworksSoft Skills :
Excellent problem-solving abilities and analytical thinkingStrong communication skills for technical and non-technical stakeholdersAbility to work independently and manage multiple projects simultaneouslyCollaborative mindset for cross-functional team environmentsPreferred Qualifications :
Healthcare Industry Experience (Bonus) :
Experience developing ML solutions for healthcare applicationsUnderstanding of healthcare data standards (FHIR, HL7, DICOM)Knowledge of healthcare compliance requirements (HIPAA, FDA regulations)Experience with clinical decision support systems or medical imagingEducation :
Bachelors degree in computer science, Machine Learning, Data Science, or related fieldMaster's degree preferred but not required with equivalent experience(ref : hirist.tech)