1,548 AI Projects jobs in India
Business Lead – AI projects
Posted 5 days ago
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Job Description
Key Responsibilities for Lead AI :
- Project Leadership & Delivery
- Lead the planning, execution, and delivery of AI initiatives aligned with business priorities
- Build business cases with AI as a backbone around : Increasing Customer Experience, Increasing Operational Efficiency, Campaign Intelligence, Insights to Front-end teams, etc.
- Collaborate with data science, engineering, and business teams to define requirements, timelines, and KPIs.
- Own the project lifecycle—from idea validation through to deployment and post-launch performance tracking.
- AI Strategy & Business Alignment
- Work closely with business stakeholders to identify opportunities where AI can drive value.
- Translate business problems into data-driven solutions and actionable AI use cases.
- Advocate for the adoption of AI and educate non-technical stakeholders on AI capabilities and limitations.
- Cross-functional Collaboration
- Facilitate communication between technical and non-technical teams.
- Align stakeholders across product, operations, IT, data, and executive leadership.
- Change Management & Adoption
- Drive user adoption by ensuring projects are human-centered and business-relevant.
- Create feedback loops and support teams in adjusting processes to effectively leverage new AI tools.
- Governance & Ethics
- Ensure ethical and responsible AI use by working with internal risk, compliance, and legal teams.
- Contribute to developing standards and best practices for AI governance.
Qualifications:
Required:
- 5–10 years of experience in project management, digital transformation, or business consulting roles, ideally with a focus on technology or AI.
- Proven experience leading AI/ML or data-driven projects from concept to production.
- Strong understanding of AI/ML concepts and their application in business contexts (you don’t need to code, but you should understand the methods and limitations).
- Experience working with cross-functional teams in matrix organizations.
- Exceptional communication and stakeholder management skills.
Preferred:
- Background in industries such as finance, retail, healthcare, logistics, or manufacturing where AI is driving transformation.
- Experience working with Agile or hybrid project delivery methodologies.
- Familiarity with AI/ML platforms (e.g., AWS Sagemaker, Azure ML, Google Vertex AI) or low-code/no-code AI tools (good to have)
- Master’s degree in Business, Technology, Data Science, or related field.
Technical Business Analyst (AI Projects) - Pharmaceutical Domain
Posted today
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Position: Technical Business Analyst (AI Projects) for Pharmaceutical Domain
Location: Madhapur, Hyderabad
Experience: 3–5 years
Education Background: B Pharmacy, MBA
Employment Type: Full-time
Mandatory Skill: Strong Knowledge of the Pharmaceutical Domain
About the Company
Multiplier AI is a fast-growing organization working with global top 20 pharma clients, including Merck, Eli Lilly, Abbott, Cipla, Sun Pharma, Glenmark, and Galderma. As we move toward our IPO, we are building a high-performance team to accelerate our AI product initiatives and drive operational excellence.
About the Role
We are seeking a Technical Business Analyst (AI Projects) with strong pharma domain expertise and a passion for AI-driven innovation. This role requires a professional who can bridge business needs, data insights, and product outcomes — leading the requirement gathering, productization approach, and client engagement processes for AI solutions.
Key Responsibilities
- Lead requirement gathering sessions, stakeholder interviews, and workshops to translate business objectives into detailed AI/data product requirements.
- Support productization efforts — shaping ideas into scalable, repeatable AI solutions for pharma clients.
- Collaborate with data science, AI engineering, and product teams to align business needs with technical outcomes.
- Contribute to defining the productization roadmap, feature prioritization, and go-to-market strategy for AI offerings.
- Manage small cross-functional teams and coordinate project deliverables, timelines, and quality.
- Analyze large pharmaceutical datasets to derive actionable insights and performance metrics.
- Facilitate client demonstrations, requirement validation, and UAT sessions.
- Identify opportunities to standardize and convert project outputs into reusable AI products.
Required Skills & Experience
- Domain Expertise: Strong understanding of pharma functions such as R&D, clinical trials, regulatory affairs, pharmacovigilance, or sales analytics.
- AI / Data Experience: Proven background in AI, ML, or data analytics-based project environments.
- Productization Skills: Experience supporting the journey from concept to deployable AI product — including feature definition and user adoption strategies.
- Client Management: Excellent communication and presentation skills with experience handling client interactions independently.
- Analytical Skills: Strong data interpretation, critical thinking, and decision-making abilities.
- Team Management: Ability to coordinate with technical and business teams to ensure timely delivery.
Tools: Working knowledge of Power BI/Tableau, Excel, SQL, JIRA/Confluence, and understanding of AI/ML workflows.
Educational Qualifications
B Pharmacy, MBA from a recognized institution.
Candidates must have at least 75% or above throughout their academic background.
Preferred Qualifications
Exposure to AI/ML applications in pharmaceutical R&D or commercial operations.
Experience in Agile/Scrum environments and product lifecycle management.
Why Join Us
Be part of cutting-edge AI product initiatives transforming the pharmaceutical ecosystem.
Work closely with cross-functional experts and global pharma leaders.
Contribute to the productization of AI innovations in a rapidly scaling, IPO-ready organization.
Direct exposure to high-impact global projects and leadership growth opportunities.
AI Development Intern
Posted 16 days ago
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Job Description
Key responsibilities include:
- 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.
Web and AI Development Intern
Posted today
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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
Senior AI Ethicist - Responsible AI Development
Posted 13 days ago
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Key Responsibilities:
- 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.
Qualifications:
- 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.
Senior AI Ethicist - Responsible AI Development
Posted 21 days ago
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Job Description
Responsibilities:
- 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.
Remote Lead AI Ethicist - Responsible AI Development
Posted 4 days ago
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Senior AI Ethics Specialist - Responsible AI Development
Posted 13 days ago
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Key Responsibilities:
- 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.
Qualifications:
- 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.
Graduate Software Engineer - Cutting-Edge AI Development
Posted 18 days ago
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Job Description
Responsibilities:
- 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.
Apprentice - Data Science & Machine Learning
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Help in evaluating model performance and contributing to model optimization efforts.
- Learn and apply various machine learning algorithms and techniques (e.g., regression, classification, clustering, deep learning).
- Assist in creating data visualizations and reports to communicate findings to the team.
- Participate in code reviews and contribute to improving code quality and efficiency.
- Learn and utilize relevant programming languages and libraries (e.g., Python, R, SQL, Scikit-learn, TensorFlow, PyTorch).
- Collaborate with team members in a remote setting, actively participating in virtual meetings and discussions.
- Stay curious and eager to learn about new tools, techniques, and best practices in data science and machine learning.
- Document methodologies, experiments, and results thoroughly.
- Contribute to a culture of learning and innovation within the data science team.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and machine learning principles.
- Proficiency in at least one programming language, preferably Python.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic knowledge of SQL for data querying.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to articulate ideas clearly.
- Self-motivated, organized, and able to work effectively in a remote, collaborative environment.
- A genuine passion for data science and a strong desire to learn and grow in the field.
- Access to a reliable internet connection and a suitable home workspace.
This is an unparalleled entry-level opportunity for aspiring data scientists and ML engineers to kickstart their careers with comprehensive training and real-world project experience, all from the convenience of a remote setup.