510 AI Researcher jobs in Mumbai

Our client is at the cutting edge of artificial intelligence and is looking for a visionary Principal AI Researcher specializing in Computer Vision to lead groundbreaking research and development initiatives. This is a unique opportunity to join a highly innovative team and push the boundaries of what's possible in AI. You will be responsible for conceiving, designing, and implementing advanced computer vision algorithms and models, focusing on areas such as object detection, image segmentation, facial recognition, and video analysis. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a significant publication record in top-tier AI conferences and journals. Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python) is mandatory. You should have a deep theoretical understanding of neural networks, convolutional neural networks (CNNs), transformers, and other relevant AI architectures. Strong analytical, problem-solving, and critical thinking skills are essential for tackling complex research challenges. You will collaborate closely with a team of world-class researchers and engineers, contributing to the intellectual property and future direction of the company. This role requires a proactive, self-motivated individual with a passion for innovation and a drive to deliver impactful research outcomes. While the role requires significant on-site collaboration, we offer a flexible hybrid work environment, encouraging a healthy work-life balance. Excellent communication skills are necessary to present research findings and mentor junior team members. Join us to shape the future of AI and computer vision from our state-of-the-art facilities in Mumbai, Maharashtra, IN .

Our client is seeking a distinguished Senior AI Ethics Researcher to lead critical research initiatives at the forefront of artificial intelligence ethics. This fully remote position requires a visionary individual to contribute to the responsible development and deployment of AI technologies. You will conduct in-depth research on ethical considerations surrounding AI, including bias, fairness, transparency, accountability, and the societal impact of AI systems. Your responsibilities will include developing theoretical frameworks, empirical studies, and practical guidelines for ethical AI. You will collaborate with a diverse, globally distributed team of AI researchers, engineers, ethicists, and policymakers to translate research findings into actionable recommendations and best practices. The ideal candidate will possess a Ph.D. or equivalent research experience in a relevant field such as philosophy, computer science, law, sociology, or a related discipline, with a specialization in AI ethics. You must have a strong publication record in leading academic venues and a demonstrated ability to conceptualize and execute complex research projects. Excellent written and verbal communication skills are essential for disseminating research findings through publications, presentations, and internal reports. This role demands a deep understanding of current AI technologies and their potential ethical implications, as well as a commitment to fostering a more equitable and beneficial future for AI. You will be instrumental in shaping our client's ethical AI strategy and contributing to public discourse on these important issues. The ability to critically analyze complex ethical dilemmas and propose innovative solutions is paramount. This role is entirely remote, allowing you to work from anywhere.

Responsibilities:

• Conduct cutting-edge research on AI ethics, fairness, bias, and accountability.
• Develop theoretical frameworks and practical guidelines for responsible AI development.
• Analyze the societal impact of AI technologies and propose mitigation strategies.
• Collaborate with internal and external stakeholders to advance ethical AI initiatives.
• Publish research findings in top-tier academic journals and conferences.
• Advise on ethical considerations for AI product development and deployment.
• Contribute to policy discussions and public engagement on AI ethics.
• Mentor junior researchers and contribute to team growth.

Qualifications:

• Ph.D. or equivalent in a relevant field (e.g., Computer Science, Philosophy, Law, Sociology) with a focus on AI ethics.
• Extensive research experience with a strong publication record.
• Deep understanding of AI technologies and their ethical implications.
• Proven ability to lead research projects and collaborate in a remote setting.
• Exceptional analytical, critical thinking, and problem-solving skills.
• Excellent written and verbal communication skills.
• Experience with interdisciplinary collaboration.
• Commitment to advancing responsible AI.

Our client is at the forefront of AI innovation and is seeking a distinguished Lead AI Ethics Researcher to guide their responsible development and deployment of artificial intelligence technologies. This critical role involves deep research into ethical considerations, biases, fairness, transparency, and accountability in AI systems. You will be responsible for developing and implementing robust ethical frameworks, guidelines, and best practices for AI development teams across the organization. This position requires a Ph.D. or equivalent in a relevant field such as Computer Science, Philosophy, Ethics, Social Science, or a related discipline, with a strong specialization in AI ethics. The ideal candidate will have a proven track record of conducting cutting-edge research, publishing in reputable venues, and advising on AI policy and governance. You will collaborate closely with engineering, product, legal, and policy teams to ensure that our client's AI initiatives are developed and deployed in a manner that aligns with societal values and regulatory requirements. Responsibilities include identifying potential ethical risks associated with new AI applications, developing mitigation strategies, and fostering a culture of ethical awareness and responsibility within the organization. You will also represent the company in external forums and engage with the broader AI ethics community. This is a highly influential role requiring exceptional analytical, communication, and interpersonal skills. The ability to translate complex ethical concepts into practical guidance for technical teams is essential. This is a remote position, offering the flexibility to work from anywhere. The role is pivotal in shaping the future of ethical AI and ensuring trust and safety in our client's advanced technologies. A strong understanding of machine learning principles and various AI applications is highly beneficial. The chosen candidate will lead a growing team of ethics specialists and contribute significantly to the company's mission. Our client is based in **Mumbai, Maharashtra, IN**, but this role is fully remote.

Our client is actively recruiting a visionary Senior AI Ethics Researcher to join their dynamic AI & Emerging Technologies division in Thane, Maharashtra, IN . This pivotal role focuses on investigating, analyzing, and formulating ethical guidelines and best practices for the development and deployment of artificial intelligence systems. You will delve into complex issues such as algorithmic bias, fairness, transparency, accountability, and the societal impact of AI. Responsibilities include conducting in-depth research, developing ethical frameworks and policy recommendations, authoring white papers and reports, and collaborating with engineering and product teams to integrate ethical considerations into the AI lifecycle. The ideal candidate will possess a strong academic background with a Master's or PhD in Computer Science, Philosophy, Law, Sociology, or a related field, with a specialization in AI ethics or responsible AI. Demonstrated experience in academic or industry research on AI ethics, including publications or contributions to relevant discourse, is highly desirable. You should have a solid understanding of machine learning principles and AI technologies. Excellent analytical, critical thinking, and problem-solving skills are paramount. The ability to communicate complex ethical concepts to both technical and non-technical audiences, both verbally and in writing, is crucial. This hybrid position offers the flexibility to engage in both in-office collaboration and focused remote work, fostering a productive and innovative research environment. Join us to shape the future of responsible AI and contribute to the development of technology that benefits humanity.

Our client, a pioneering AI research lab, is seeking an exceptional Senior AI/ML Researcher specializing in Deep Learning to join their esteemed team in **Mumbai, Maharashtra, IN**. This role offers a unique opportunity to push the boundaries of artificial intelligence by conceptualizing, developing, and implementing cutting-edge deep learning models for complex real-world problems. You will be responsible for conducting advanced research, designing novel algorithms, experimenting with state-of-the-art architectures, and contributing to high-impact publications and patents. The ideal candidate will possess a Ph.D. in Computer Science, AI, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Extensive experience with deep learning frameworks (TensorFlow, PyTorch), programming languages (Python), and cloud ML platforms is required. You will collaborate with a world-class team of researchers and engineers, driving innovation in areas such as computer vision, natural language processing, and reinforcement learning. This position demands strong analytical skills, creativity, a rigorous scientific approach, and the ability to translate research findings into practical applications. Join us to shape the future of AI and make significant contributions to the field.

Key Responsibilities:

• Conduct advanced research in deep learning and related AI fields.
• Design, develop, and implement novel deep learning models and algorithms.
• Experiment with state-of-the-art neural network architectures and training techniques.
• Analyze large datasets to extract insights and train ML models.
• Collaborate with cross-functional teams on AI projects and applications.
• Publish research findings in leading academic conferences and journals.
• Develop prototypes and proof-of-concepts for new AI technologies.
• Stay abreast of the latest advancements in AI and machine learning.
• Mentor junior researchers and contribute to the team's knowledge base.
• Contribute to the development of intellectual property and patents.
• Ensure responsible and ethical development of AI systems.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of research experience in AI/ML, with a focus on Deep Learning.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL).
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with cloud platforms (AWS, Azure, GCP) and ML libraries.
• Solid understanding of mathematics, statistics, and algorithms relevant to machine learning.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a research environment.

Description

Position at DNEG Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines.

Key Responsibilities

Research and develop state-of-the-art voice synthesis models (e.g., TTS, voice cloning, speech-to-speech).

Build and fine-tune models using frameworks like PyTorch and HuggingFace.

Design training pipelines and datasets for scalable voice model training.

Explore techniques for emotional expressiveness, multilingual synthesis, and speaker adaptation.

Work closely with product and creative teams to ensure models meet quality and production constraints.

Stay on top of academic and industrial trends in speech synthesis and related fields.

Must Haves

Strong background in machine learning and deep learning, with focus on speech/audio.

Hands-on experience with TTS, voice cloning, or related voice synthesis tasks.

Proficiency with Python and PyTorch; experience with libraries like torchaudio, ESPnet, or similar.

Experience training models at scale and working with large audio datasets.

Familiarity with vocoders and transformer-based architectures.

Strong problem-solving skills, ability to work autonomously in a remote-first environment.

Nice to Have

PhD degree in Computer Science/ Machine Learning and publications in top venues.

Contributions to open-source speech research or participation in relevant benchmarks.

Familiarity with adjacent areas like lip-syncing, audio-driven animation, or expressive speech control.

Experience with voice datasets or proprietary pipelines.

About Us
We are DNEG, one of the world’s leading visual effects and animation companies for the creation of award-winning feature film, television, and multiplatform content. We employ more than 9,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London), Asia (Bangalore, Mohali, Chennai, Mumbai) and Australia (Sydney).

At DNEG, we fundamentally believe that embracing our differences is a vital component of our collective success. We are committed to creating an equitable, diverse and inclusive work environment for our global teams, where everyone feels they matter and belong. We welcome and encourage applications from all, regardless of background, experience or disability. Please let us know if you need any adjustments or support during the application process, we will do our best to accommodate your needs. We look forward to meeting you!

Our client is at the forefront of AI innovation and is seeking a dedicated AI Ethics & Policy Researcher to join their pioneering team. This is a fully remote position, offering the opportunity to shape the future of artificial intelligence from anywhere. The successful candidate will be instrumental in developing ethical frameworks, guidelines, and policies for the responsible development and deployment of AI technologies. You will engage in in-depth research on topics such as algorithmic bias, fairness, transparency, accountability, and the societal impact of AI. Your work will involve analyzing current regulations, proposing new policy initiatives, and collaborating with internal teams and external stakeholders to ensure our AI solutions are aligned with ethical principles and societal values. This role requires a critical thinker with a passion for ensuring AI benefits humanity.

Responsibilities:

• Conduct cutting-edge research on AI ethics, bias, fairness, and transparency.
• Develop, implement, and refine ethical guidelines and policies for AI development and deployment.
• Analyze existing and emerging AI regulations and legal frameworks globally.
• Write research papers, white papers, and policy briefs on critical AI ethics issues.
• Collaborate with AI engineers, data scientists, and product managers to integrate ethical considerations into the AI lifecycle.
• Engage with policymakers, academics, and industry experts to foster dialogue on AI governance.
• Develop and deliver training on AI ethics to internal teams.
• Evaluate the ethical implications of new AI products and features.
• Advocate for responsible AI practices within the organization and the broader tech community.
• Stay current with advancements in AI technology and their ethical challenges.

Qualifications:

• Master's or Ph.D. in Ethics, Philosophy, Law, Computer Science with an ethics focus, or a related field.
• Demonstrated experience in AI ethics research, policy analysis, or related areas.
• Strong understanding of AI technologies, machine learning concepts, and their societal implications.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to articulate complex concepts clearly.
• Experience in policy development or advocacy is a plus.
• Familiarity with regulatory environments and compliance is advantageous.
• Ability to work autonomously and manage multiple projects in a remote setting.

This role is 100% remote, offering significant flexibility and autonomy.

**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**How you will contribute**
You will:
+ Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling
+ Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
+ Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results
+ Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
+ Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
+ Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making
+ Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Strong quantitative skillset with experience in statistics and linear algebra.
+ A natural inclination toward solving complex problems
+ Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it
+ Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
+ Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
+ Good communication skills to promote cross-team collaboration
+ Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
+ Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders
We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development.
Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function.
**Key Responsibilities:**
+ **Lead Data Science Application Development/Deployment:** Lead the full lifecycle of data science projects, from ideation and design to deployment and optimization, whether developed in-house, through partner collaboration or buying off-the-shelf.
+ **Advisory AI/GenAI** : Provide strategic advice on the evolution of our AI/GenAIcapabilities to match company goals. Keeping up with the latest GenAItrend.
+ **Standards and Governance:** Help establish/refresh and enforce programmatic approaches, governance frameworks and best practices for effective data science application building.
+ **Technology Evaluation and Recommendation** : Evaluate and recommend the most appropriate AI/GenAItools, technologies.
+ **Knowledge Sharing and Mentoring** : Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong AI community within Mondelēz.
**Skills and Experiences:**
+ **Deep understanding of data science methodol** **ogies** **and implications** **:** proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc.
+ **Hands-on experience in cloud environment** (8 years) **:** Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc.
+ **LLM Application architecture & Integration** (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies.
+ **Cloud Based Deployment & Scaling:** Practical experience deploying and scaling data science (including GenAI) applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application.
+ **Collaboration with cross-functional teams/stakeholder management** (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts. A big emphasis on the ability to listen and capture key information.
**Qualifications:**
+ Master's degree in a Quantitative Discipline, PhD preferred.
+ Minimum 8 years of experience in data science/AI.
+ Minimum 2 years of GenAI experience.
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
**Business Unit Summary**
**At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Data Science
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.