139 Research Scientist jobs in Chennai

About the Team:

ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals.

What you can look forward to as AI Research Scientist (m/f/d):

Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL).

Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms.

Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques.

Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks.

Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs).

Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches.

Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models.

Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community.

Contribute to the development of the research team''s long-term research goals and strategies.

Your profile as AI Research Scientist (m/f/d):

Master''s degree in Mathematics, Computer Science or other related technical fields. Phd is good to have.

8+ years of experience in research development, with a strong understanding of data structures and algorithms.

5+ years of experience building and deploying machine learning models in production.

Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.

Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills.

Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals.

We are seeking a Generative AI Developer to design, build, and deploy solutions powered by Large Language Models (LLMs), multimodal AI, and prompt engineering. You will work closely with product and engineering teams to integrate GenAI capabilities into real-world applications — from chatbots and copilots to content generation and intelligent automation.

Key Responsibilities

• AI/ML Development
• Fine-tune and optimize LLMs (GPT, LLaMA, Claude, etc.) for specific business use cases.
• Build and deploy GenAI-powered applications (chatbots, copilots, summarization, Q&A systems, generative content).
• Experiment with multimodal AI (text, image, audio, video).
• Prompt Engineering & Orchestration
• Design effective prompts and workflows to maximize model performance.
• Work with frameworks like LangChain, LlamaIndex, Haystack for retrieval-augmented generation (RAG).
• Backend & Integration
• Develop APIs and services to integrate GenAI models into existing platforms.
• Connect AI with structured/unstructured data sources.
• Cloud & Deployment
• Deploy models on AWS, Azure, or GCP (SageMaker, Vertex AI, Azure OpenAI).
• Implement scalable, cost-efficient inference pipelines.
• MLOps & Performance
• Monitor AI models in production (latency, accuracy, hallucination rates).
• Implement continuous training, evaluation, and improvement workflows.

Required Skills & Qualifications

• Strong programming skills in Python is a plus).
• Hands-on experience with GenAI/LLMs (OpenAI, Anthropic, Hugging Face, Cohere, Stability AI).
• Familiarity with LangChain, LlamaIndex, RAG pipelines.
• Knowledge of NLP, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Experience with cloud platforms (AWS, Azure, GCP) and deployment of ML models.
• Understanding of prompt design, fine-tuning, and model evaluation.
• Solid grasp of APIs, microservices, and REST/GraphQL integrations.

Preferred

• Experience with multimodal models (text-to-image, speech-to-text, etc.).
• Exposure to containerization & orchestration (Docker, Kubernetes).
• Knowledge of data privacy, security, and compliance in AI systems.
• Prior work in AI-driven SaaS products.

Job Type: Full-time

Pay: ₹510, ₹1,591,431.67 per year

Application Question(s):

• Which cloud platforms have you deployed applications or AI models on?
• How many years of experience do you have working with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain)
• Have you worked with CDN platforms such as Cloudflare, Akamai, or AWS CloudFront for scaling applications?

Work Location: In person

Company Description

AMMAGENOMICS, established in 2019 in Arizona and 2020 in Chennai, India, focuses on providing clinical and food diagnostic and research services. The company offers DNA and RNA extraction kits, microbiome kits, and specialized tests for mutation detection and genetic abnormalities, contributing to advancements in health diagnostics and food safety.

Role Description

This is a full-time on-site role for a Junior Research Scientist located in Chennai at AMMAGENOMICS. The Junior Research Scientist will be involved in conducting research, analyzing data, performing experiments, and contributing to scientific publications and reports. They will work collaboratively with a team of scientists to advance knowledge in the field of genetics and diagnostics.

Qualifications

• Research, Data Analysis, and Experimental Skills
• Knowledge of Genetics, Molecular Biology, and Diagnostic Techniques
• Laboratory Experience and Scientific Methodology
• Strong Analytical and Problem-Solving Skills
• Excellent Communication and Teamwork Abilities
• Master's degree or Ph.D. in Genetics, Molecular Biology, or related field

• Design, implement, and manage agricultural research experiments.
• Collect and analyze field and laboratory data related to crop growth, soil conditions, and pest/disease incidence.
• Develop and test new agricultural techniques and technologies.
• Research and evaluate crop varieties for optimal performance and resilience.
• Investigate sustainable farming practices, including organic methods and integrated pest management.
• Prepare detailed research reports, scientific publications, and presentations.
• Collaborate with other scientists, agronomists, and stakeholders.
• Manage laboratory equipment and ensure adherence to safety protocols.
• Contribute to grant writing and proposal development for research funding.
• Stay informed about the latest advancements in agricultural science and technology.
• Provide technical expertise and guidance to farming communities or related organizations.

• Master's or Ph.D. in Agronomy, Plant Science, Soil Science, Agricultural Science, or a closely related field.
• Minimum of 3-5 years of experience in agricultural research.
• Strong knowledge of experimental design and statistical analysis.
• Proficiency in data analysis software (e.g., R, SAS, SPSS).
• Experience with field trials and laboratory procedures relevant to agriculture.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a research team.
• Passion for sustainable agriculture and environmental conservation.
• Familiarity with common agricultural pests and diseases.
• Driving license and willingness to travel to field sites as required.

NIQ is seeking a highly skilled and innovative Senior Research Scientist to join our advanced AI/GenAI team. In this role, you will lead the design, experimentation, and implementation of cutting-edge Generative AI services. You will work at the intersection of research and engineering, transforming theoretical advancements into scalable, production-ready solutions. Your expertise in Python, data pipelines, and AI/ML will be critical in shaping the future of our AI-driven products. 

Responsibilities: 

• Lead research and development of GenAI models and services, with a focus on real-world applications. 
• Rapidly prototype and validate experimental approaches to assess feasibility and effectiveness. 
• Act as a technical reference and mentor for other team members, providing guidance on best practices, architecture, and model development. 
• Translate complex business requirements into clear, actionable research tasks and technical objectives. 
• Design and implement robust data pipelines to support large-scale AI/ML experimentation and deployment. 
• Collaborate with cross-functional teams including ML engineers, data scientists, and product managers to define research goals and translate them into deliverables. 
• Conduct rigorous experimentation, benchmarking, and evaluation of GenAI models (e.g., LLMs, diffusion models). 
• Stay abreast of the latest research in GenAI, NLP, and machine learning, and apply findings to improve model performance and capabilities. 
• Develop high-quality, maintainable Python code for research prototypes and production systems. 
• Contribute to the publication of research findings in top-tier conferences and journals (optional but encouraged). 
• Support the deployment of GenAI services on cloud platforms, preferably Azure. 

• Bachelor's or master's degree in computer science, Data Science, Machine Learning, or related field. 
• 5+ years of professional experience in AI/ML development, with a strong focus on NLP, generative AI, and vector search. 
• Strong proficiency in Python programming, with hands-on experience using libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. 
• Deep understanding of machine learning fundamentals, including deep learning, optimization techniques, generative AI, NLP, LLMs, and Retrieval-Augmented Generation (RAG). 
• Expertise in transformer-based models and embeddings (e.g., BERT, RoBERTa, GPT), and their application in real-world scenarios. 
• Proficiency with vector databases and approximate nearest neighbor (ANN) search tools such as FAISS, Milvus, or Pinecone. 
• Experience building and maintaining scalable data pipelines using tools like Pandas, Spark, or Airflow. 
• Familiarity with SQL for data manipulation and analysis. 
• Experience with cloud platforms (Azure preferred) and containerization technologies (e.g., Docker, Kubernetes). 
• Excellent problem-solving skills, attention to detail, and a research-oriented mindset. 
• Strong communication and collaboration skills, with the ability to work in cross-functional teams. 

• Work on cutting-edge GenAI research with real-world impact. 
• Be part of a collaborative, forward-thinking team at the forefront of AI innovation. 
• Competitive salary and benefits package. 
• Opportunities for continuous learning, research publication, and professional growth. 

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the 

Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View.