Market Update: November 03, 2026
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Saviynt | Research Scientist (Full‑time) | California, USA | PhD + 2‑4 yrs | Apply |
| Anduril Industries | Research Scientist | Colorado, USA | PhD + 3‑5 yrs | Apply |
| KRAFTON | AI Research Scientist – World Action Models (Intern) | Seoul, South Korea | Entry‑level / Internship | Apply |
| KRAFTON | AI Research Scientist – World Action Models (2 yr + contract) | Seoul, South Korea | 2 + years | Apply |
| Anthropic | Research Scientist, Life Sciences (Computational Chemistry) | San Francisco, USA | PhD + 2‑4 yrs | Apply |
| Anthropic | Research Scientist, Life Sciences (Large Molecules, Antibody Design) | San Francisco, USA | PhD + 3‑5 yrs | Apply |
| AlphaX | Research Scientist – Construction Scheduling & Workforce Risk | Remote (U.S.) | 3‑6 yrs | Apply |
| OpenAI | Research Engineer / Research Scientist, Human Flourishing | San Francisco, USA | PhD + 4‑7 yrs | Apply |
| Salesforce | Research Scientist – AI Research | Palo Alto / San Francisco, USA | PhD + 2‑5 yrs | Apply |
| Advanced Micro Devices (AMD) | Applied Research Scientist – AI Models & Agents | Bangalore, India | PhD + 3‑6 yrs | Apply |
| Microsoft (Azure AI) | Senior AI Researcher – Responsible AI | Hyderabad, India | PhD + 5‑8 yrs | Apply |
| Infosys AI Labs | AI Research Scientist – Natural Language Understanding | Chennai, India | PhD + 2‑4 yrs | Apply |
| Pindrop | Research Scientist II – Deepfake Detection & Authentication (Video & Audio) | Remote (USA) | 3‑5 yrs | Apply |
| Neara | Senior Research Scientist – Risk Modeling | New York, USA | 5‑8 yrs | Apply |
| WellTheory | Clinical Research Scientist | Remote (USA) | PhD + 2‑4 yrs | Apply |
Role of the Day: Research Engineer / Research Scientist, Human Flourishing (OpenAI)
OpenAI’s Human Flourishing team is tackling the next frontier of AI alignment: ensuring advanced systems actively contribute to societal well‑being. The role sits at the intersection of deep learning, reinforcement learning, and interpretability.
Key Technology Stack
- Core Frameworks: PyTorch for rapid prototyping, JAX for high‑performance TPU workloads, and DeepSpeed for large‑scale model training.
- Model Architectures: Transformer‑based foundation models (GPT‑4‑style), multimodal encoders (CLIP‑V), and emerging Retrieval‑Augmented Generation (RAG) pipelines to ground outputs in curated knowledge bases.
- Reinforcement Learning: Proximal Policy Optimization (PPO) with reward modeling from human feedback (RLHF) to fine‑tune alignment objectives.
- Safety & Interpretability Tools: Activation‑based saliency maps, concept activation vectors, and the Safety Gym suite for stress‑testing policies.
- Infrastructure: Kubernetes‑orchestrated GPU clusters, MLflow for experiment tracking, and Terraform‑managed cloud resources across Azure and GCP.
- Collaboration & Versioning: GitHub Enterprise with code‑review pipelines, DVC for data versioning, and internal “Alignment Notebooks” built on JupyterLab.
This stack empowers the scientist to prototype novel alignment algorithms, scale them to billions of parameters, and rigorously evaluate societal impact—all while collaborating with interdisciplinary ethicists, product designers, and policy experts.
Prepared by the AI Talent Acquisition Team – your partner in building world‑class research capabilities.
Market Update: October 09, 2026
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Innocode Ventures | AI Research Scientist | Bangalore | 1‑2 Years | Apply |
| Krazy Mantra | AI Research Scientist – LLM & GenAI | Hyderabad | 5‑10 Years | Apply |
| Microsoft Research | Principal Data Scientist (AI & Analytics) | Hyderabad, Telangana, India | 10‑18 Years | Apply |
| Google DeepMind | Senior AI Research Scientist – Multimodal | London, UK (Remote option) | 5‑12 Years | Apply |
| Salesforce AI Research | Research Scientist – LLM Reasoning | San Francisco, CA, USA | 3‑7 Years | Apply |
| HP Labs | AI/ML Research Scientist – Edge AI | Bangalore | 2‑5 Years | Apply |
| Sciforium | Senior AI Research Scientist – Generative Modeling | San Francisco, CA, USA | 5‑8 Years | Apply |
| Ziroh Labs | AI Research Associate – Computer Vision | Chennai | 0‑2 Years (Freshers) | Apply |
| Airtel India | Head – Data Science & AI | Delhi NCR, India | 12‑20 Years | Apply |
| Effective Altruism – Apollo Research | Research Scientist – AI Safety Evaluations | London, UK (Remote) | 4‑10 Years | Apply |
Role of the Day: AI Research Scientist – LLM & Generative AI (Krazy Mantra, Hyderabad)
The selected opportunity focuses on large‑language‑model (LLM) research, generative AI, and computer‑vision integration. The ideal candidate will own end‑to‑end pipelines that move from data ingestion to production‑ready services.
- Core Stack: PyTorch (distributed training via DeepSpeed), HuggingFace Transformers, and TensorFlow for legacy pipelines.
- Retrieval‑Augmented Generation (RAG): Integration of vector databases (Milvus or Pinecone) with LangChain to fuse external knowledge bases into LLM outputs.
- Inference Optimization: Quantization (INT8), NVIDIA TensorRT, and ONNX Runtime to meet sub‑100 ms latency for real‑time chat assistants.
- Data Engineering: Apache Spark for large‑scale preprocessing, and Delta Lake for versioned training datasets.
- Evaluation Framework: Human‑in‑the‑loop A/B testing, RLHF pipelines (using Proximal Policy Optimization), and automated bias/robustness checks.
- Collaboration Tools: GitHub for code review, DVC for dataset versioning, and Confluence/Jira for cross‑functional sprint planning.
Successful candidates will publish findings in top‑tier conferences (NeurIPS, ICML) and translate prototypes into product features that ship to millions of users within six months. If you thrive in a fast‑moving environment and have a track record of turning cutting‑edge research into scalable solutions, this role offers the perfect platform to accelerate your career.
Market Update: October 07, 2026
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Saarthee | AI Research Scientist | Bangalore | 5‑15 years | Apply |
| Openpixel Web Solutions | AI Research Scientist | Hyderabad | 2‑5 years | Apply |
| Microsoft | Senior Applied Scientist – Turing | Bangalore | 5+ years | Apply |
| Cerebra Labs | AI Research Scientist – Healthcare | Chennai | 3‑7 years | Apply |
| DoorDash | AI Research Fellowship (Summer/Fall) | Remote / San Francisco | PhD candidates | Apply |
| Qualis | AI Research Engineer | Remote (India) | 4‑6 years | Apply |
Role of the Day: Senior Applied Scientist – Turing (Microsoft, Bangalore)
The Turing team is at the forefront of large‑scale generative AI. This position demands a full‑stack research‑to‑production mindset. The core tech stack includes:
- Frameworks: PyTorch (v2.4) for model prototyping, DeepSpeed for distributed training, and ONNX for inference optimization.
- Model Architecture: Transformer‑based LLMs (7‑30B parameters) with retrieval‑augmented generation (RAG) pipelines that fuse external knowledge bases via vector databases (FAISS + Milvus).
- Data Engineering: Azure Data Lake Storage, Spark SQL for massive preprocessing, and Delta Lake for versioned datasets.
- Deployment & MLOps: Azure ML, Kubeflow pipelines, MLflow for experiment tracking, and Azure Container Instances for low‑latency serving.
- Observability: Prometheus + Grafana dashboards, OpenTelemetry for tracing, and custom model‑level monitoring (drift detection, latency SLA).
The ideal candidate will lead end‑to‑end research cycles—from hypothesis and paper‑level breakthroughs to production‑grade APIs powering Microsoft 365 Copilot. Strong publication record, experience scaling LLMs, and fluency in Python, C++, and Azure services are essential.
Market Update: October 05, 2026
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Saarthee | AI Research Scientist | Bangalore | 5‑15 yrs | Apply |
| Openpixel Web Solutions | AI Research Scientist | Hyderabad | 2‑5 yrs | Apply |
| Microsoft Research – Turing Team | Senior Applied Scientist | Bangalore | 5‑12 yrs | Apply |
| AMD | Applied Research Scientist – AI Models & Agents | Bangalore | 3‑8 yrs | Apply |
| Ziroh Labs | AI Research Scientist (Computer Vision) | Bangalore | 2‑6 yrs | Apply |
| Tilde Research | Hardware / Kernel Engineer (AI) | Hyderabad | 1‑4 yrs | Apply |
| TechNova Solutions | AI Research Scientist – Generative AI | Chennai | 3‑7 yrs | Apply |
| Salesforce AI Research | Research Scientist | Palo Alto, CA, USA | 4‑10 yrs | Apply |
| Goodfire | Research Scientist – Model Interpretability | San Francisco Bay Area, USA | 2‑5 yrs | Apply |
Role of the Day: Senior Applied Scientist – Microsoft Turing Team (Bangalore)
The Turing team is driving the next generation of enterprise‑grade large language models (LLMs) and multimodal AI systems. The ideal candidate will own end‑to‑end research pipelines that move from idea to production at scale.
Tech Stack Highlights:
- Deep Learning Frameworks: PyTorch (primary), with extensive use of DeepSpeed for model parallelism and training efficiency.
- Model Architecture: Transformer‑based LLMs (up to 1‑2 trillion parameters), Retrieval‑Augmented Generation (RAG) pipelines, and vision‑language fusion models.
- Data Engineering: Azure Data Lake, Spark, and Delta Lake for large‑scale pre‑training corpora; FAISS for vector search in RAG.
- Experimentation & MLOps: Azure ML, MLflow for experiment tracking, and Kubernetes (AKS) for distributed training.
- Evaluation: Human‑in‑the‑loop (HITL) QA, BLEU, ROUGE, and custom LLM‑specific metrics; safety & bias audits using Microsoft Responsible AI Toolbox.
- Programming Languages: Python (core), C++ (performance‑critical kernels), and Rust (for safety‑critical components).
Successful candidates will publish in top conferences (NeurIPS, ICML, ICLR), mentor junior researchers, and translate breakthroughs into Azure AI services used by millions of enterprise customers.
Market Update: October 04, 2026
Good morning, talent pool! October’s AI research market is humming with opportunity across India’s tech hubs. Over 600 openings are live on Naukri, and we’ve distilled the most compelling roles into a single, action‑ready view. Below you’ll find the hottest positions, with a spotlight on Bangalore, Hyderabad, and Chennai—our three fastest‑growing talent corridors.
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Saarthee | AI Research Scientist | Bangalore | 5‑15 years | Apply |
| Openpixel Web Solutions | AI Research Scientist | Hyderabad | 2‑5 years | Apply |
| Microsoft Research – Turing Team | Senior Applied Scientist | Bangalore | 7‑12 years | Apply |
| Advanced Micro Devices (AMD) | Applied Research Scientist – AI Models & Agents | Bangalore | 5‑10 years | Apply |
| Apollo Research | Research Scientist / Engineer (Evaluations) | London, UK / San Francisco, USA (Remote for Indian talent) | 3‑8 years | Apply |
| Goodfire | Research Scientist – Interpretability | London, UK (Remote option for Indian candidates) | 1‑4 years (PhD required) | Apply |
| XYZ Analytics | AI Research Scientist – Financial Forecasting | Chennai | 4‑9 years | Apply |
| Appen | Applied AI Research Engineer | Remote (India) | 3‑7 years | Apply |
| Salesforce AI Research | Research Scientist | San Francisco, USA (Remote for India) | 5‑10 years | Apply |
Role of the Day: Senior Applied Scientist – Microsoft Turing (Bangalore)
Why this role stands out: Microsoft’s Turing team is the beating heart of next‑generation large language models (LLMs) and enterprise‑grade generative AI. The position sits at the intersection of pure research and product impact, giving you the chance to publish in top venues while shipping features to millions of Azure customers.
Core tech stack:
- Deep Learning Frameworks: PyTorch (primary), with heavy use of DeepSpeed for model parallelism and training efficiency at scale.
- Model Architecture: Transformer‑based LLMs (up to 175B parameters), including experimental Mixture‑of‑Experts (MoE) and Retrieval‑Augmented Generation (RAG) pipelines.
- Data Infrastructure: Azure Data Lake, Spark‑based preprocessing, and Azure ML pipelines for continuous training and evaluation.
- Evaluation & Safety: Human‑in‑the‑loop RLHF (Reinforcement Learning from Human Feedback), automated bias detection, and interpretability tools built on Captum and SHAP.
- Deployment: Containerized inference services using Kubernetes and Azure Kubernetes Service (AKS), with ONNX Runtime for low‑latency serving.
- Programming Languages: Python (core research), C++ (performance‑critical kernels), and Go (service orchestration).
What you’ll deliver:
- Design and publish novel model architectures that push state‑of‑the‑art benchmarks.
- Prototype RAG systems that fuse external knowledge bases with LLMs for domain‑specific answering.
- Collaborate with product engineers to ship AI features into Microsoft 365, Azure Cognitive Services, and Power Platform.
- Lead a small team of junior scientists, mentoring them on research methodology and code quality.
- Contribute to Microsoft’s AI Responsible Practices framework, ensuring fairness and transparency.
Ready to shape the future of enterprise AI? Apply now and join a team that turns groundbreaking research into real‑world impact.
Market Update: September 30, 2026
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Microsoft Research | Senior AI Research Scientist – Turing Team | Bangalore, Karnataka | 5‑10 yrs | Apply |
| HP | Applied Research – Data Scientist (ML/NLP) | Bangalore, Karnataka | 3‑6 yrs | Apply |
| Adobe Systems India | Senior Applied Scientist – Generative AI | Bangalore, Karnataka | 7‑12 yrs | Apply |
| Krazy Mantra | AI Research Scientist (LLM & GenAI) | Hyderabad Rural, Telangana | 10‑18 yrs | Apply |
| Dreamvu | Computer Vision & Robotics Research Scientist | Hyderabad, Telangana | 2‑5 yrs | Apply |
| NewAge Tech Solution Pvt Ltd | Principal Research Scientist (AI/ML) | Chennai, Tamil Nadu | 0‑4 yrs | Apply |
| SAMA.AI (OPC) PRIVATE LIMITED | Research Scientist – Large‑Scale AI | Chennai, Tamil Nadu | 15‑20 yrs | Apply |
Role of the Day: Senior AI Research Scientist – Microsoft Turing Team (Bangalore)
This flagship position sits at the heart of Microsoft’s Turing research hub, driving next‑generation large‑language‑model (LLM) breakthroughs. The ideal candidate will own end‑to‑end research pipelines that move from idea to production‑ready services used by millions of enterprise customers.
Technology Stack & Responsibilities:
- Frameworks: PyTorch (primary), TensorFlow for legacy code, and DeepSpeed for extreme‑scale training.
- Model Architectures: Transformer‑based LLMs (GPT‑4‑class), Retrieval‑Augmented Generation (RAG) pipelines, and multimodal encoders (vision‑language).
- Infrastructure: Azure Machine Learning, Kubernetes‑orchestrated GPU clusters, and Azure Data Lake for massive text corpora.
- Tooling: GitHub for version control, MLflow for experiment tracking, and Azure DevOps CI/CD pipelines.
- Research Focus: Scaling laws, efficient fine‑tuning (PEFT/LoRA), safety & alignment, and real‑time inference optimization.
- Collaboration: Partner with product engineering, responsible AI, and security teams to embed research outcomes into Microsoft 365, Azure Cognitive Services, and Power Platform.
Successful candidates will combine a strong publication record (NeurIPS, ICML, ICLR) with hands‑on engineering expertise. This role offers a unique blend of academic rigor and product impact, making it the premier opportunity for senior AI researchers in Bangalore.
Market Update: September 28, 2026
Good morning, AI talent community! The Indian AI research market continues to surge, with 687 fresh openings posted this month alone. Below is a curated snapshot of the most compelling AI Research Scientist roles, especially those in our hot‑spot hubs – Bangalore, Hyderabad, and Chennai. Grab your next breakthrough opportunity now.
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Krazy Mantra | AI Research Scientist – LLM & Generative AI | Bangalore | 10‑18 yrs | Apply |
| RiDiK | Research Scientist – Computer Vision & Multimodal LLMs | Bangalore | 5‑12 yrs | Apply |
| Microsoft Research India | Senior Applied Scientist – Turing (LLM Infrastructure) | Hyderabad | 5‑10 yrs | Apply |
| Google DeepMind | Principal AI Research Scientist – Reinforcement Learning | London (Remote option for India) | 8‑15 yrs | Apply |
| Amazon AWS AI | AI Research Scientist – Speech & Audio Modeling | Bangalore | 4‑9 yrs | Apply |
| Infosys Topaz AI | Research Engineer – Generative AI Platform | Chennai | 2‑5 yrs | Apply |
| TCS AI Labs | AI Research Scientist – Responsible AI & Ethics | Delhi / NCR | 3‑7 yrs | Apply |
| Scale AI | Senior AI Research Scientist – Agentic Systems | Remote (India) | 6‑12 yrs | Apply |
| Meta AI India | Research Scientist – Large‑Scale Recommendation | Hyderabad | 5‑10 yrs | Apply |
| Wipro AI Innovation Hub | AI Research Scientist – Generative Design | Chennai | 3‑8 yrs | Apply |
Role of the Day: Senior Applied Scientist – Turing (Microsoft, Hyderabad)
Why it stands out: Microsoft’s Turing team is at the forefront of building enterprise‑grade large language models (LLMs) that power Copilot, Office AI, and next‑gen search. The role blends deep research with production‑scale engineering, making it ideal for candidates who want to see their breakthroughs deployed globally.
Tech Stack & Responsibilities
- Core Frameworks: PyTorch (distributed training), DeepSpeed, and Azure Machine Learning pipelines.
- Model Architecture: Retrieval‑Augmented Generation (RAG) pipelines, Mixture‑of‑Experts (MoE) scaling, and transformer‑efficient fine‑tuning (LoRA, QLoRA).
- Data Infrastructure: Azure Data Lake, Spark‑based preprocessing, and Faiss/ElasticSearch for vector retrieval.
- Evaluation & Safety: Human‑in‑the‑loop (HITL) evaluation, bias mitigation toolkits, and RLHF (Reinforcement Learning from Human Feedback).
- Production Ops: Kubernetes‑based serving (KServe), A/B testing via Azure Front Door, and observability with OpenTelemetry.
Ideal Candidate Profile
- PhD or Master’s in Computer Science, ML, or related field.
- 5+ years of hands‑on research publishing at top venues (NeurIPS, ICML, ICLR).
- Proven track record of taking at least one LLM‑related paper from prototype to production.
- Strong software engineering skills (Python, C++, Go) and familiarity with CI/CD for ML.
Take advantage of this chance to shape the next wave of enterprise AI. If you meet the criteria, hit the “Apply” link above and let’s get you on the fast‑track to Microsoft’s AI frontier.
Stay tuned tomorrow for fresh listings and another “Role of the Day.” Until then, keep pushing the boundaries of what AI can achieve.
Market Update: September 27, 2026
Good morning, talent seekers! September’s AI research market in India remains vibrant, with more than 1,200 openings across Bangalore, Hyderabad, and Chennai. Companies are racing to secure expertise in large‑language models, generative AI, computer vision, and reinforcement learning. Below is a curated snapshot of the most compelling opportunities you should act on today.
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| RDA Labs | Research Scientist – Machine Learning & AI | Bengaluru | 3‑5 Years | Apply Now |
| Dreamvu | Computer Vision & Robotics Research Scientist | Hyderabad | 2‑5 Years | Apply Now |
| Lexsi Labs | AI Research Scientist | Bengaluru | 2‑5 Years | Apply Now |
| Krazy Mantra | AI Research Scientist (LLM & Generative AI) | Bangalore Rural, Bengaluru | 10‑18 Years | Apply Now |
| Openpixel Web Solutions | AI Research Scientist | Hyderabad | 2‑5 Years | Apply Now |
| Saarthee | AI Research Scientist – Deep Learning | Bengaluru | 5‑15 Years | Apply Now |
| Kintellect Partners | AI Research Scientist – Reinforcement Learning | Bengaluru | 5‑10 Years | Apply Now |
| TechNova | AI Research Scientist – Vision & Language | Chennai | 4‑8 Years | Apply Now |
| Microsoft | Senior Applied Scientist – Turing (LLM Ops) | Bangalore | 5‑12 Years | Apply Now |
| Advanced Micro Devices (AMD) | Applied Research Scientist – AI Models & Agents | Bangalore | 5‑10 Years | Apply Now |
Role of the Day: AI Research Scientist – Krazy Mantra (Bangalore Rural)
Why this role stands out: Krazy Mantra is building a next‑generation LLM platform that blends large‑language models with real‑time Retrieval‑Augmented Generation (RAG). The team is tasked with scaling generative AI across multilingual Indian markets while ensuring data privacy and low‑latency inference.
Core tech stack:
- Frameworks: PyTorch 2.x for model development; DeepSpeed for massive‑scale training.
- LLM Backbone: Meta‑LLaMA‑2‑70B fine‑tuned with LoRA adapters.
- RAG Pipeline: VectorDB (Milvus) + OpenAI‑compatible embeddings; LangChain for orchestration.
- Infrastructure: Kubernetes on AWS EKS, Helm charts for CI/CD; GPU nodes powered by NVIDIA H100.
- MLOps: MLflow for experiment tracking, Prefect for workflow orchestration, and Seldon Core for model serving.
- Security & Compliance: End‑to‑end encryption, differential privacy layers, and Audits via OPA (Open Policy Agent).
This role is perfect for senior researchers who thrive at the intersection of foundational model research and production‑grade engineering. If you have a Ph.D. in AI/ML or a proven track record of delivering LLM‑based products, Krazy Mantra offers a competitive package (₹30‑45 LPA) and the chance to shape India’s AI future.
Stay proactive—these openings will fill fast. Reach out directly for personalized introductions or to schedule a confidential conversation.
Market Update: September 24, 2026
Welcome to today’s Daily AI Career Intel. The Indian AI research market is buzzing with over 600 openings, driven by a surge in generative AI, LLM‑powered products, and enterprise‑wide AI transformation initiatives. Below is a curated snapshot of the most compelling AI Research Scientist roles that match high‑growth sectors and competitive compensation packages.
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Krazy Mantra | AI Research Scientist – LLM & Generative AI | Bangalore | 10‑18 years | Apply |
| Auric AI Labs | Senior Applied AI Research Engineer – Entity Resolution | Hyderabad | 5‑12 years | Apply |
| TE Connectivity India Pvt Ltd | Research Scientist – Computer Vision & Robotics | Chennai | 3‑8 years | Apply |
| Microsoft Research India | Applied Scientist – Search & Retrieval (GenAI) | Bengaluru | 7‑15 years | Apply |
| Scale AI | Machine Learning Research Scientist – Agentic Systems | Remote (India) | 4‑10 years | Apply |
| Google DeepMind | Research Scientist – Foundation Models | London (Remote option) | 6‑12 years | Apply |
| Happiest Minds Technologies | Quantum AI Research Scientist | Hyderabad | 2‑6 years | Apply |
| Adobe Systems India | Senior Applied Scientist – Generative Media | Bangalore | 8‑14 years | Apply |
Role of the Day: AI Research Scientist – LLM & Generative AI (Krazy Mantra, Bangalore)
This flagship position is built around the latest generative AI stack. The core responsibilities include designing, training, and fine‑tuning large language models (LLMs) that power next‑generation conversational assistants and code‑generation tools.
- Frameworks: PyTorch (distributed training via
torch.distributed), DeepSpeed, and NVIDIA Megatron‑LM. - Model Architecture: Transformer‑based LLMs (12‑96 B parameters), Retrieval‑Augmented Generation (RAG) pipelines integrating vector databases such as Milvus or Pinecone.
- Data Engineering: Apache Spark for massive text‑corpus preprocessing, LangChain for prompt orchestration, and Hugging Face Datasets for versioned data handling.
- Evaluation & Ops: Automated benchmarking with OpenAI Eval, A/B testing on internal SaaS platforms, and CI/CD pipelines using GitHub Actions + MLflow for experiment tracking.
- Collaboration: Cross‑functional work with product managers, UX designers, and compliance teams to embed responsible AI guardrails (bias detection, toxicity filters).
Ideal candidates hold a PhD or strong equivalent research track record, have published at top conferences (NeurIPS, ICML, ICLR), and can demonstrate end‑to‑end production of LLMs at scale. This role offers a compensation band of ₹20‑35 Lakhs PA plus equity and a research budget for conferences.
Market Update: September 23, 2026
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Krazy Mantra | AI Research Scientist | Bangalore | 10‑18 years | Apply Now |
| Infosys Finacle | Data Scientist / Senior Data Scientist | Bangalore | 3‑8+ years | Apply Now |
| Tricog Health | Data Scientist (Cardiac AI) | Bangalore | 3‑6 years | Apply Now |
| Microsoft Research | Principal Researcher – Windows Search | Hyderabad | 12‑20 years | Apply Now |
| Amazon Devices India | Senior Applied Scientist – AI/ML | Hyderabad | 7‑12 years | Apply Now |
| Genpact | Chief Data Scientist | Hyderabad | 10‑15 years | Apply Now |
| AI Labs (Chennai) | AI Research Scientist – Vision & Language | Chennai | 5‑9 years | Apply Now |
| DoorDash | AI Research Fellowship (Summer/Fall 2026) | Remote – India Eligible | 0‑2 years (PhD/Graduate) | Apply Now |
| Salesforce AI Research | Research Scientist – LLM & Agentic AI | San Francisco (Remote India) | 4‑8 years | Apply Now |
Role of the Day: AI Research Scientist – Krazy Mantra (Bangalore)
Why this role stands out: Krazy Mantra is building the next generation of generative AI platforms that power large‑language models (LLMs), Retrieval‑Augmented Generation (RAG), and real‑time multimodal agents. The team operates at the intersection of foundational research and productization, offering a rare chance to see cutting‑edge papers turned into deployed services within months.
Tech Stack & Core Responsibilities
- Model Development: Design, fine‑tune, and scale transformer‑based LLMs (GPT‑4‑class) using PyTorch and DeepSpeed for efficient distributed training across 8‑16 NVIDIA H100 GPUs.
- Retrieval‑Augmented Generation (RAG): Implement dense vector retrieval pipelines with FAISS and Milvus, integrating external knowledge bases to improve factuality.
- Multimodal Fusion: Combine vision and language by leveraging CLIP embeddings and Vision Transformers (ViT) to enable image‑guided text generation.
- Prompt Engineering & RLHF: Develop custom prompt templates, conduct Reinforcement Learning from Human Feedback (RLHF) loops using Proximal Policy Optimization (PPO) to align model behavior.
- Production & MLOps: Deploy models via Kubernetes with Istio service mesh; manage CI/CD pipelines with GitHub Actions and Argo CD. Monitoring through Prometheus + Grafana.
- Research Output: Publish at top conferences (NeurIPS, ICML, ICLR), contribute open‑source libraries to the community, and mentor junior engineers.
Ideal Candidate Profile: Ph.D. in Machine Learning, Computer Vision, or Natural Language Processing (or equivalent industry experience); 10‑18 years of hands‑on research; proven track record of delivering LLM‑centric products; deep expertise in PyTorch, distributed training, and RAG architectures; strong publication record; excellent communication skills to bridge research and product teams.
Ready to push the boundaries of generative AI? Apply today and become the catalyst for next‑generation intelligent agents.
Market Update: September 18, 2026
Good morning, AI talent network! Here’s your fast‑track briefing on the hottest research‑focused openings across India’s key tech hubs. We’ve filtered for roles that blend cutting‑edge research with product impact, and highlighted opportunities in Bangalore, Hyderabad, and Chennai.
| Company | Role | Location | Experience | Apply Link |
|---|---|---|---|---|
| Google India | ML Engineer – DeepMind Collaboration | Bangalore | 2–4 yrs (Mid) | Apply |
| Microsoft India | GenAI / LLM Engineer – Azure Copilot Team | Hyderabad | 0–1 yr (Fresher) | Apply |
| Amazon Web Services (AWS) India | Research Scientist – Foundation Models | Chennai | 5+ yrs (Senior) | Apply |
| IBM India | AI Research Scientist – WatsonX Platform | Bangalore | 2–4 yrs (Mid) | Apply |
| TCS AI | Data Science Engineer – Automated AI Ops | Hyderabad | 0–1 yr (Fresher) | Apply |
| Infosys | ML Engineer – Topaz Generative AI | Bangalore | 2–4 yrs (Mid) | Apply |
| Meta India | Computer Vision Research Engineer – AR/VR Team | Hyderabad | 5+ yrs (Senior) | Apply |
| Zoho | NLP Engineer – Conversational AI Suite | Chennai | 2–4 yrs (Mid) | Apply |
| Flipkart | Agentic AI Developer – Personal Shopping Assistant | Bangalore | 5+ yrs (Senior) | Apply |
Role of the Day: GenAI / LLM Engineer – Azure Copilot Team (Microsoft India, Hyderabad)
Why this role stands out: Microsoft’s Azure Copilot team is scaling the next generation of large‑language‑model services for enterprise productivity. The position sits at the intersection of research and product, giving you the freedom to prototype novel model architectures while shipping features that reach millions of Office users worldwide.
Core tech stack:
- Frameworks: PyTorch (primary), with selective use of DeepSpeed for large‑scale training optimizations.
- Modeling: Retrieval‑Augmented Generation (RAG) pipelines built on Azure Cognitive Search; fine‑tuning of OpenAI‑compatible LLMs (e.g., Llama‑2, GPT‑4‑Turbo).
- Data & Vector Stores: PGVector + Azure Cosmos DB for low‑latency vector retrieval; integration with Azure Data Lake for massive pre‑training corpora.
- Ops & MLOps: Azure ML Pipelines, GitHub Actions, and Terraform for reproducible infra; monitoring via Azure Monitor & Application Insights.
- Responsible AI: Built‑in bias detection (Fairlearn), RLHF loops for alignment, and Explainability Toolkit (SHAP, Captum).
This role is perfect for engineers who love to push model performance while embedding robust safety guards. If you have 0–1 year of hands‑on LLM experience, strong Python skills, and a passion for turning research breakthroughs into production‑grade services, this is the opportunity to accelerate your career.
Reach out directly if you’d like a personal introduction to the hiring manager or need help tailoring your resume for this role. Let’s get you on the fast lane to AI impact!
