3,305 AI Generalist jobs in India

Summary of the Role

We are a leading roll foundry supplying work rolls to major Hot Strip Mills, TMT Mills, and global steel plants. We are looking for a Business Analyst who can transform raw operational and sales data into clear insights, dashboards, and strategic decisions. This role directly supports top management and plays a critical part in making the company fully data-driven. Success in this role means enabling us to increase profit, improve efficiency, reduce waste, and make smarter business decisions based on data.

You will not just create reports—you will influence key decisions and help shape the future growth of the company.

• Analyze sales, margins, product and customer performance
• Build clear, visual dashboards (Google Sheets / Excel / Power BI / Tableau)
• Track production efficiency, lead times, rejections, scrap, and bottlenecks
• Identify high-profit vs low-profit customers and products
• Forecast demand and support capacity planning
• Monitor cash flow, payment delays, receivables, inventory movement
• Provide strategic recommendations to management for growth and cost control
• Present insights in a clear, decision-focused format (not just data dumps)

• Work closely with leadership to understand business goals
• Streamline data collection and reporting processes
• Improve visibility across sales, operations, production, and finance
• Help build a culture of data-driven decision-making
• Challenge existing processes and suggest smarter, more efficient approaches

• Think commercially and understand business logic, not just data
• Have experience in manufacturing / B2B / supply chain / operations (preferred)
• Are strong in analysis, critical thinking, and problem-solving
• Can turn raw data into clear insights and strategic recommendations
• Communicate confidently with leadership and stakeholders
• Are proactive, curious, and eager to build systems from scratch

• Advanced Google Sheets / Excel (Pivot Tables, Formulas, Slicers, Automation)
• Power BI / Tableau / Looker Studio (bonus but preferred)
• Strong knowledge of business metrics (profit, margin, cash flow, efficiency)
• Ability to design dashboards and reports that drive decisions
• Good verbal and written communication skills

• 2+ years in Business Analysis / Data Analytics / Operations Analytics
• Experience in manufacturing or industrial B2B environment is a major plus
• Experience presenting insights to senior management

• Degree in Business, Engineering, Analytics, Operations, Economics, MBA, or similar
• Certifications in Data Analytics / Power BI / Business Analysis are a bonus

This role is critical to our growth. You will help us run the company like a data-driven machine.

If you love turning data into strategy, profit, and smart decisions—we want you.

• 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.

• 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 implement advanced machine learning models and algorithms.
• Conduct research and experiments to explore new AI techniques and approaches.
• Preprocess and analyze large datasets for model training and evaluation.
• Optimize model performance for accuracy, efficiency, and scalability.
• Deploy machine learning models into production environments.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay current with the latest advancements in AI and Machine Learning research.
• Document research findings, methodologies, and results.
• Troubleshoot and resolve issues related to ML systems.
• Contribute to the development of intellectual property and publications.

• Master's or Ph.D. in Computer Science, AI, ML, or a related quantitative field.
• Proven experience in developing and deploying machine learning models.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, data structures, and statistical modeling.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication abilities.
• Ability to work independently and as part of a research team.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.