AI Engineer

Hiring: AI Engineer (Contract) – Healthcare Domain

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🔍 About the Role

AI Engineer

🧠 Key Responsibilities

AI / ML Development

• Design, develop, and deploy AI/ML models for real-world healthcare use cases
• Build and enhance Proof of Concept (POC) applications to validate AI solutions
• Implement machine learning workflows using

  TensorFlow, PyTorch, and Scikit-learn

• Perform data preprocessing, feature engineering, and validation using

  Pandas & NumPy

• Debug, optimize, and fine-tune models for performance, scalability, and reliability

Cloud & Platform Engineering

• Develop and deploy AI solutions on

  Google Cloud Platform (GCP)

• Use

  Vertex AI

  for model training, deployment, versioning, and monitoring
• Integrate

  Google Gemini

  capabilities for advanced AI use cases

Collaboration & Delivery

• Work closely with data engineers to ensure high-quality, reliable datasets
• Support senior engineers and architects in translating business requirements into AI solutions
• Collaborate with cross-functional teams while adhering to documentation, governance, and delivery standards
• Maintain clean, efficient, and well-documented production-grade code

🎯 Ideal Candidate Profile

• Strong understanding of the

  end-to-end AI/ML lifecycle

• Experience working in

  structured, process-driven AI development environments

• Comfortable in

  hybrid / onsite work models

  with clear accountability
• Proactive learner with the ability to contribute to

  POC and production AI initiatives

🎓 Educational Qualification

• Bachelor’s degree in

  Computer Science, Artificial Intelligence, Data Science

  , or a related field

🧪 Interview Process

1. L1 – Initial Screening
2. L2 – AI-Based Assessment
3. L3 – Technical Interview (Round 1)
4. L4 – Technical Interview (Round 2)
5. L5 – Final Round

Special Note (Mandatory)

• Only Hyderabad or Chennai–based candidates are eligible to apply

• Immediate joiners or candidates currently serving notice are mandatory

• Profiles from other locations will NOT be considered

• This is a

  Hybrid / Onsite opportunity

  , and relocation or remote work requests will not be entertained