1,279 Healthcare AI jobs in India

• Supporting the research and development of machine learning models for various applications.
• Assisting in the collection, cleaning, and annotation of large datasets.
• Implementing and testing AI algorithms under the guidance of experienced professionals.
• Documenting research findings, code, and project progress.
• Collaborating with team members to troubleshoot and resolve technical challenges.
• Learning and applying advanced AI concepts, including deep learning, natural language processing, and computer vision.
• Participating in team meetings and contributing innovative ideas.

About Loam.ai

Loam.ai is an AI-first software consultancy building cutting-edge solutions for businesses ready to harness the power of artificial intelligence. We create custom AI-powered applications and automation systems that drive real business value for our clients.

Position Overview

We’re seeking a motivated and tech-savvy Web Development Intern to join our remote team. This is an excellent opportunity for someone passionate about modern web development who wants to learn how AI is transforming the way we build software. You’ll work on real client projects, collaborating with our team to create responsive, high-quality websites and web applications using the latest technologies and AI-assisted development workflows.

Location: Remote

Duration: 3-6 months

Stipend: ₹10,000 per month

Key Responsibilities

Frontend Development

• Design and develop responsive, mobile-first websites and web applications that look great across all devices and screen sizes

• Build and customize Shopify storefronts using Liquid templating language, React, and modern frontend frameworks

• Implement pixel-perfect designs with clean, maintainable HTML, CSS, and JavaScript code

• Create dynamic, interactive user interfaces using React and TypeScript

AI-Assisted Development

• Leverage AI tools like GitHub Copilot, ChatGPT, and other code generation assistants to accelerate development workflows

• Rapidly prototype and iterate on features using AI-powered coding tools

• Learn to effectively prompt and collaborate with AI to write clean, efficient code

API Integration & Backend Connectivity

• Integrate RESTful APIs and GraphQL endpoints into frontend applications

• Connect Shopify stores with third-party services and custom backend systems

• Handle data fetching, state management, and API authentication

Collaboration & Learning

• Work closely with senior developers and designers to understand project requirements and deliver quality solutions

• Participate in code reviews and contribute to improving development practices

• Troubleshoot bugs, optimize performance, and maintain existing web properties

• Stay current with emerging web technologies, AI development tools, and industry best practices

Required Skills & Qualifications

Technical Skills

• Proficiency in HTML5, CSS3, and modern JavaScript (ES6+)

• Experience with responsive design principles and mobile-first development

• Familiarity with React or other modern JavaScript frameworks (Vue.js, Angular)

• Understanding of REST APIs and how to integrate them into web applications

• Basic knowledge of Shopify development including Liquid templating, theme customization, or Shopify app development

• Experience using AI-powered development tools (GitHub Copilot, ChatGPT, Cursor, or similar) for coding assistance

• Version control with Git and GitHub

Soft Skills

• Strong problem-solving abilities and attention to detail

• Excellent communication skills and ability to work collaboratively in a remote team environment

• Self-motivated with the ability to manage time effectively and meet deadlines

• Eagerness to learn new technologies and adapt quickly to changing requirements

• Ability to take feedback constructively and iterate rapidly

Education

• Currently pursuing or recently completed a degree in Computer Science, Web Development, Software Engineering, or a related field

Preferred Qualifications

• Experience with TypeScript

• Familiarity with CSS frameworks like Tailwind CSS or Bootstrap

• Understanding of web performance optimization techniques

• Portfolio or GitHub profile showcasing previous web development projects

• Experience with Shopify theme development or app creation

• Knowledge of web accessibility standards and best practices

What You’ll Learn

• Real-world experience building production websites and applications for actual clients

• How to effectively leverage AI tools to accelerate your development workflow and boost productivity

• Modern web development practices including component-based architecture, state management, and API integration

• Shopify ecosystem including theme development, Liquid templating, and e-commerce best practices

• Professional software development workflows including code reviews, version control, and agile methodologies

• How to balance AI automation with human creativity and critical thinking

Why Join Loam.ai?

• AI-First Environment: Work at the forefront of AI-powered development and learn cutting-edge techniques

• Real Impact: Contribute to live client projects that make a difference for real businesses

• Remote Flexibility: Work from anywhere with flexible hours

• Mentorship: Learn directly from experienced developers passionate about teaching

• Career Growth: Build a strong portfolio and gain valuable experience that sets you apart in the job market

• Develop and implement comprehensive AI ethics frameworks, policies, and best practices for the organization.
• Conduct ethical impact assessments for new AI products, features, and research initiatives.
• Advise AI development teams on identifying and mitigating ethical risks related to bias, fairness, privacy, accountability, and transparency.
• Collaborate with legal, policy, and engineering teams to ensure compliance with emerging AI regulations and ethical standards.
• Stay abreast of the latest research, discourse, and challenges in AI ethics and responsible innovation.
• Develop training materials and conduct workshops to educate employees on AI ethics principles.
• Serve as an internal and external thought leader on AI ethics issues.
• Facilitate discussions and build consensus on complex ethical dilemmas related to AI.
• Contribute to the design of AI systems that prioritize human values and societal well-being.
• Monitor and evaluate the ethical implications of deployed AI systems.

• Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science, Public Policy, or a related interdisciplinary field with a focus on technology ethics.
• Minimum of 6 years of experience working in AI ethics, responsible innovation, or technology policy.
• Strong understanding of machine learning concepts and the technical aspects of AI systems.
• In-depth knowledge of ethical theories and frameworks, particularly as they apply to technology.
• Experience in conducting ethical risk assessments and developing mitigation strategies.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication, presentation, and interpersonal skills, with the ability to engage diverse stakeholders.
• Familiarity with AI governance, regulations, and standards is highly desirable.
• Ability to work independently and lead initiatives in a remote setting.
• A passion for ensuring that AI is developed and used for the benefit of humanity.

• Develop, refine, and enforce ethical frameworks and policies for AI development and deployment.
• Conduct thorough ethical risk assessments and bias audits for AI models and algorithms.
• Collaborate closely with AI researchers, engineers, legal teams, and product managers to integrate ethical considerations into the entire AI lifecycle.
• Advise on issues of fairness, accountability, transparency, privacy, and societal impact of AI systems.
• Research emerging ethical challenges and best practices in AI.
• Develop training materials and deliver workshops on AI ethics to internal teams.
• Engage with external stakeholders, policymakers, and academic institutions on AI ethics topics.
• Contribute to the company's thought leadership in responsible AI.

• Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, or a related field with a specialization in AI ethics or technology ethics.
• Minimum of 5 years of experience focusing on AI ethics, technology policy, or responsible innovation.
• Deep understanding of AI/ML concepts and their ethical implications.
• Proven experience in developing ethical guidelines, conducting risk assessments, and advising on complex ethical issues.
• Excellent research, analytical, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical concepts clearly.
• Demonstrated ability to work effectively in a remote, collaborative environment.
• Experience with global AI regulations and standards is a plus.

• Develop and implement AI ethics policies, principles, and guidelines.
• Conduct ethical impact assessments for AI projects and products.
• Collaborate with AI/ML teams to integrate ethical considerations into the development lifecycle.
• Provide expert advice and training on responsible AI development and deployment.
• Monitor emerging ethical issues, regulatory changes, and industry best practices in AI.
• Engage with external stakeholders, including academics, policymakers, and civil society, on AI ethics topics.
• Contribute to research and thought leadership in the field of AI ethics.
• Develop frameworks for mitigating bias, ensuring fairness, and promoting transparency in AI systems.
• Advocate for ethical decision-making across the organization.

• Master's or Ph.D. in Ethics, Philosophy, Law, Social Sciences, Computer Science with an ethics focus, or a related field.
• 5+ years of experience in AI ethics, responsible AI, or a related field.
• Deep understanding of AI and Machine Learning concepts and applications.
• Proven experience in developing ethical frameworks, policies, and guidelines.
• Familiarity with AI bias, fairness, accountability, and transparency issues.
• Excellent analytical, research, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex ethical concepts clearly.
• Experience in stakeholder engagement and cross-functional collaboration.
• Knowledge of global AI regulations and ethical standards.

• Assist in the design, development, and implementation of AI algorithms and models.
• Write clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborate with senior engineers on data preprocessing, feature engineering, and model training.
• Conduct research on new AI techniques and technologies to identify potential applications.
• Assist in the testing and debugging of AI systems and applications.
• Contribute to the development of documentation and technical reports.
• Participate in team meetings and contribute to technical discussions.
• Learn and apply best practices in software development and AI engineering.
• Gain exposure to cloud platforms and MLOps principles.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong understanding of fundamental AI and Machine Learning concepts.
• Proficiency in at least one programming language such as Python, Java, or C++.
• Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
• Excellent analytical and problem-solving skills.
• Strong desire to learn and adapt to new technologies.
• Ability to work independently and effectively in a remote team environment.
• Good communication and collaboration skills.
• A genuine passion for artificial intelligence and its applications.

• Design, develop, and deploy machine learning models and algorithms for various product features.
• Collaborate with data scientists and product managers to define ML requirements and product roadmaps.
• Build robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Optimize ML models for performance, latency, and resource efficiency in production environments.
• Implement MLOps best practices for model versioning, continuous integration/continuous deployment (CI/CD), and automated monitoring.
• Work with large-scale datasets, ensuring data quality and integrity.
• Evaluate and integrate new ML technologies and frameworks to enhance product capabilities.
• Troubleshoot and resolve issues related to ML models in production.
• Mentor junior engineers and contribute to a culture of technical excellence and innovation.
• Write clean, maintainable, and well-documented code.

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Minimum of 5 years of experience in machine learning engineering, with a strong focus on product development and deployment.
• Proficiency in Python and extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience building and deploying ML models in cloud environments (AWS, Azure, GCP).
• Solid understanding of software engineering principles, data structures, and algorithms.
• Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration skills, essential for effective remote teamwork.
• Ability to work independently, manage priorities, and deliver high-quality results in a fast-paced setting.

• Design, build, and maintain scalable machine learning systems and AI pipelines.
• Develop and implement ML models, including deep learning architectures, for various AI applications.
• Optimize model performance, efficiency, and resource utilization.
• Collaborate with data scientists to experiment with new algorithms and techniques.
• Deploy ML models into production environments and ensure their reliability and maintainability.
• Work with software engineers to integrate ML models into larger applications and platforms.
• Perform data preprocessing, feature engineering, and data augmentation.
• Monitor model performance in production and implement necessary adjustments.
• Stay up-to-date with the latest advancements in AI, ML, and related technologies.
• Document ML systems, processes, and results clearly.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5-8 years of progressive experience in machine learning engineering or a related role.
• Strong proficiency in Python and experience with ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Deep understanding of various ML algorithms, neural networks, and statistical modeling.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
• Familiarity with big data technologies (e.g., Spark) and database systems.
• Excellent analytical, problem-solving, and software development skills.
• Strong communication and collaboration abilities.
• Experience working effectively in a hybrid team setting.
• This role is based in Delhi, Delhi, IN , with a hybrid work arrangement.