AI Developer

About HealthAsyst

Position -

Location -

Role And Responsibilities

• Ability to face customer as AI expert, assisting in client consultations.
• Own the solutioning process, Align AI projects with client requirements.
• Drive the development of AI and ML solutions that address business problems.
• Collaborate with development teams and solution architects to develop and integrate AI solutions.
• Monitor and evaluate the performance and impact of AI and ML solutions and ensure continuous improvement and optimization.
• Design and develop AI/ML models to solve complex business problems using supervised, unsupervised, and reinforcement learning techniques..
• Build, train, and evaluate machine learning pipelines, including data preprocessing, feature engineering, and model tuning.
• Establish and maintain best practices and standards for architecture, AI and ML models, innovation, and new technology evaluation.
• Collaborate with software developers to integrate AI capabilities into applications and workflows
• Develop APIs and microservices to serve AI models for real-time or batch inference.
• Foster a culture of innovation and collaboration within the COE, across teams and provide mentorship/guidance to the team members.
• Implement responsible AI practices, including model explainability, fairness, bias detection, and compliance with ethical standards.
• Experience in deploying AI models into production environments using tools like TensorFlow Serving, TorchServe, or container-based deployment (Docker, Kubernetes)
  

Qualifications

• 3+ years of experience in AI and ML projects.
• Proven track record of delivering successful AI and ML solutions that address complex business problems.
• Expertise in design, development, deployment and monitoring of AI ML solutions in production.
• Proficiency in various AI and ML techniques and tools, such as deep learning, NLP, computer vision, ML frameworks, cloud platforms, etc.
• 1+ year experience in building Generative AI applications leveraging Prompt Engineering and RAG
• Preference to candidates with experience in Agentic AI, MCP and A2A (Agent2Agent) protocol.
• Strong leadership, communication, presentation and stakeholder management skills.
• Ability to think strategically, creatively and analytically, and to translate business requirements into AI and ML solutions.
• Passion for learning and staying updated with the latest developments and trends in the field of AI and ML.
• Demonstrated commitment to ethical and socially responsible AI practices
  

Employee Benefits

• Bi-Annual Salary Reviews
• Flexible working hours
• 3 days Hybrid model
• GMC (Group Mediclaim): Provides Insurance coverage of Rs. 3 lakhs + a corporate buffer of 2 Lakhs per family. This is a family floater policy, and the company covers all the employees, spouse, and up to two children
• Employee Wellness Program- HealthAsyst offers unlimited online doctor consultations for self and family from a range of 31 specialties for no cost to employees. And OPD consultations with GP Doctors are available in person for No Cost to employees
• GPA (Group Personal Accident): Provides insurance coverage of Rs. 20 lakhs to the employee against the risk of death/injury during the policy period sustained due to an accident
• GTL (Group Term Life): Provides life term insurance protection to employees in case of death. The coverage is one time of the employee’s CTC
• Employee Assistance Program: HealthAsyst offers complete confidential counselling services to employees & family members for mental wellbeing
• Sponsored upskills program: The company will sponsor up to 1 Lakh for certifications/higher education/skill upskilling.
• Flexible Benefits Plan – covering a range of components like
• National Pension System.
• Internet/Mobile Reimbursements.
• Fuel Reimbursements.
• Professional Education Reimbursements.