73 Research Institutions jobs in Mumbai

About the job

JoVE is the world-leading producer and provider of science video solutions with the mission to improve scientific research and education. Millions of scientists, educators and students worldwide use JoVE for their research, teaching and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including such leaders as IIT, IISc, University of Oxford, University of Cambridge, Harvard, MIT, Stanford etc. As a growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company.

Candidates need to work as per the UK time zone-1:00-10:00 PM IST / US time zone -7:00 PM-3:00 AM IST

The Role

The Customer Success Specialist, Research will be responsible for aiding researchers and faculty at subscribing Universities and Research Institutions in North America & Europe to integrate JoVE’s content into their syllabi and support training and research activities.

Responsibilities:

• Customer-facing role with a focus on outreach to Researchers and Educators to boost usage of JoVE resources in the Lab and classroom;
• Delivering presentations and webinars at: (1) exhibits and conferences (2) University/Research center seminars and workshops
• Developing relationships with key decision makers (Head of Departments, Dean of Faculties, PIs, Researchers.) and teaching/research staff at Universities and Research Institutes through daily outreach (phone calls, 1:1 meetings, emails, tailored projects etc)
• Providing customer feedback to sales, product and marketing teams
• Delivering Product Awareness within new and ongoing customer Universities and Research Institutes
• Maintaining positive ongoing relationships with customer institutes during the sales cycle, and after a sale to provide support and ensure client satisfaction and retention

Requirements:

• A Masters or PhD Degree in STEM discipline
• Excellent English communication skills
• Prior working experience in laboratory settings
• Experience in Science Communications or Customer-facing roles is considered a plus!
• Thorough understanding of education and research trends and challenges in assigned content areas i.e. Biology, Chemistry, Medicine, Physics, Engineering, or Psychology
• Demonstrated ability to deliver excellent presentations for large and small groups
• Proven ability to network with scientists and decision-makers
• Open to travel

Why Join JoVE?

• You can expect compensation package competitively placed within the local market
• You will make a direct impact in accelerating science research and in improving student learning in science education
• Opportunity to work with global teams and in an environment that promotes innovation and collaboration
• Our strong promotion from within culture draws a clear path to advance your career with us

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.

Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance.

As a research scientist at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability.

• You'll work on advanced problems related to AI explainability, AI safety, and AI alignment.
• You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
• Create new techniques around ML Observability & Alignment.
• Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable.
• Create and maintain technical and product documentation.
• Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS etc.

• Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning.
• Master or Ph.D in key engineering topics like computer science or Mathematics is required
• Should have published peer-reviewed papers or contributed to opensource tools
• Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc
• Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc
• Comfortable deploying code in cloud environments/on-premise environments.
• Good fundamentals in MLOps and productionising ML models.
• Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc.
• 2+ years of hands-on experience in Deep Learning or Machine Learning.
• Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.

AryaXAI is revolutionizing the field of AI by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock the full potential of AI while maintaining transparency and safety.

Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance.

As a research scientist at Arya.ai, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability.

Responsibilities

• You'll work on advanced problems related to ML explainability, ML safety, and ML alignment.
• You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
• Create new techniques around ML Observability & Alignment.
• Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable.
• Create and maintain technical and product documentation.

Qualifications

• Has a solid academic background in concepts of machine learning and deep learning.
• Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc
• Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc
• Comfortable deploying code in cloud environments/on-premise environments.
• Strong fundamentals in MLOps and productionising ML models.
• Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc.
• 2+ years of hands-on experience in Deep Learning or Machine Learning.
• Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.

About the role

This role is critical in leading category packaging development by engaging key stakeholders to develop innovative packaging solutions and processes to ensure smooth execution of projects on time at right quality and at optimum cost.

Your role specifications

1. Lead packaging development of assigned product categories.

Develop and propose innovative packaging solutions that enhance consumer experience, convenience, and brand appeal.

Collaborate with product development, marketing and design teams to translate consumer insights into packaging innovations.

Identify and evaluate emerging packaging technologies, materials, and formats.

2. Evaluation of designs, systems and materials.

3. Root cause analysis and problem solving.

4. Data generation, analysis and documentation.

5. Generation of new ideas.

6. Implementation of new technologies.

7. Drive process improvement, value engineering and competition mapping.

8. Recommend solutions and take decisions in alignment with key stakeholders.

9. Be an individual contributor for the specified role.

Who are we looking for?

Experience:

5-6 years of experience in core packaging development in a leading FMCG company.

At least one year s experience in leading category packaging development independently.

Skills:

Sound knowledge of different types of packaging materials like rigid and flexibles, its applications, various conversion processes and good understanding of packaging development process.

Proactive, self-initiator, analytical, team player, risk taker with good communication skills.

Exposure to problem solving tools.

Exposure to mould management and plastic processing will be an added advantage.

A keen interest in packaging innovation and design thinking.

EDUCATIONAL BACKGROUND

Post Graduation in Packaging, Polymer Engineering, Chemical Engineering or Material Science from a reputed institute with bachelors in P, C, M or engineering.

Additional qualifications in plastic processing or tool making will be added advantage.

It's fun to work in a company where people truly BELIEVE in what they are doing!

About the Company:
About Fractal and its vision to become a leader in AI research

Job Overview:

We are looking for people who can explore new ideas, design and implement next-generation architectures/techniques in image/video, language, audio and multimodal space. You should be motivated to push the boundaries not just in state-of-the-art performance, but also in balancing performance in terms of inference speed and compute resource usage. You will collaborate with a multidisciplinary team of researchers, engineers, and data scientists to develop and deploy practical and scalable solutions to real-world challenges in areas such as domain based instruction fine-tuning LLMs, improving text to image and foundational models, to name a few. Your work will have a direct impact on the development of our AI-driven products and services.

Job Location: Bangalore, Pune, Mumbai, Gurgaon, Chennai

Job Responsibilities:

Qualifications:

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clickingin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Join Innodata’s global Data Science team as an LLM Research Data Scientist and drive innovation in Multimodal Large Language Models and Agentic Workflows. In this position, you’ll contribute across the full LLM lifecycle, from data collection and post-training to evaluation and benchmarking. Collaborate closely with our data engineering teams to translate data into client-facing insights. Enjoy the freedom to publish scientific work and contribute to open-source initiatives.

Key Responsibilities

•Analyze existing workflows and data pipelines to extract insights, identify areas of improvement, and propose recommendations.

•Collaborate with internal teams and clients to operationalize findings.

•Specialize in one of the following focus areas:

oData: Collection, curation, and synthetic data creation

oModeling: Multimodal post-training and agentic workflow creation

oEvaluation: LLM and Agent benchmarking and performance analysis

What We Look For

•Strong communication and collaboration skills across technical and non-technical audiences

•Ability to work autonomously, self-motivated, ambitious

•Client-facing mindset: active listening, clear articulation of findings and recommendations

•Willingness to help upskill teammates in data science and generative AI fundamentals

Qualifications

•Master’s degree in Data Science, Computer Science or a related field

•10+ years of experience in data science and client-facing roles

•High proficiency with AI tools (e.g., Copilots, GenAI platforms) and applying them to complex real-world use cases

•Expert-level Python skills, with deep familiarity with LLM frameworks for data manipulation, post training and evaluation