Location: Bangalore/ Chennai (Client Location- 7 months) Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for the client's products and services. Detailed job description & Key Responsibilities : Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. Qualification and Experience Master’s degree or Ph.D in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. Candidates with 1+ years of work experience preferred. Looking for someone who can join within 30 days max. Show more Show less

We are a Palo Alto–based startup building domain-specialized foundation models , multimodal agents, and automation tools to solve real-world problems in science, enterprise, and industrial systems. With a thriving AI engineering division in Mysore , we build both internal tools and client-facing demos that demand intuitive, elegant, and scalable interfaces. We are looking for a UX/UI & Product Designer who can self-direct product thinking — using tools like ChatGPT, Grok, and internal LLMs as a replacement for traditional product management roles . You will partner directly with researchers and engineers to ship UI/UX for AI demos and interfaces — without waiting on long product specs. Role Overview This hybrid role blends visual storytelling, interactive UI development, and autonomous product thinking . You will: Use tools like ChatGPT, Deep Research, and Grok to perform tasks typically handled by a PM - including market research, user stories, feature discovery, and prototyping support. Build and deploy Streamlit apps and dashboards that demonstrate our AI capabilities. Design presentations and visual assets that translate technical research into clean, shareable narratives. Collaborate directly with AI SMEs, founders, and engineers to rapidly iterate and deploy designs into production demos . Key Responsibilities Act as your own product owner by using GenAI tools to: Research feature ideas, competitors, and best UX practices Write user stories and flows Create content for UI and slides Simulate user feedback or edge case testing Design elegant slides and pitch decks for client meetings, investor talks, and internal explainers. Develop and style Streamlit-based UI components to showcase internal and external AI workflows. Work with engineering to deploy and maintain hosted demos via Streamlit Cloud or custom endpoints. Collaborate with AI researchers and SMEs to understand core systems and visualize their capabilities. Minimum Qualifications Bachelorʼs or Masterʼs degree in UI/UX Design, Product Design, or Computer Science. Proficient in design tools: Figma, Canva, Adobe Illustrator , or similar. Strong portfolio showing slides, Streamlit apps, dashboards, or visual interfaces for tech products . Hands-on experience with Streamlit or Python-based web UIs . Demonstrated ability to use tools like ChatGPT, Claude, or Grok to drive product ideation, writing, and workflow creation. Experience collaborating with engineers and researchers in high-velocity environments . Preferred Qualifications Familiarity with LLM or GenAI-based tooling and prompt workflows. Basic understanding of API integration , cloud deployment (Streamlit Cloud, AWS), and version control. Comfort working without traditional product management layers — autonomous, curious, self-driven . What We Offer High-autonomy role in a PM-light, AI-first product environment . Work with AI leaders and SMEs shaping the future of intelligent software systems. Full ownership of design and UX decisions across demos, tools, and customer-facing apps. Competitive compensation, ESOPs , and a collaborative, engineering-driven culture in Mysore . Access to compute infrastructure, research-grade tools, and the chance to work on frontier GenAI applications. How to Apply Apply on Linkedin with a link to your portfolio (Streamlit UIs, slides, product demos).

Weʼre looking to automate our internal operations using cutting-edge agentic AI and LLM-driven tools. This effort will be led by the founding team in close collaboration with a dedicated Generative AI Engineer , who will help implement intelligent automation — and later scale it for external clients and products . Key Responsibilities Work closely with the leadership team to map internal processes that can benefit from AI-based automation (e.g., document handling, research synthesis, client onboarding, code generation, workflow orchestration). Build internal tools using LLMs and agent frameworks (LangChain, OpenAI Functions, AutoGen, CrewAI, etc.) for semi-autonomous task execution. Prototype, test, and refine agentic applications that integrate with internal systems (e.g., Notion, Slack, GitHub, Airtable, email, databases). As the automation matures internally, support the transition to external automation offerings for clients across domains. Maintain a portfolio of your work in GitHub, and contribute reusable components to the broader engineering team. Minimum Qualifications Bachelorʼs or Masterʼs degree in Computer Science, AI, Data Science, or a related technical field. Solid programming skills in Python and experience building backend services, APIs, or automation tools. Demonstrated ability to build and maintain agent-based apps using tools like LangChain, CrewAI, LlamaIndex , or custom orchestration frameworks. A strong GitHub portfolio of previous automation projects or agentic AI applications (personal or professional). Familiarity with REST APIs, cloud services (AWS/GCP), and tools like Docker, FastAPI, or Streamlit. Preferred Qualifications Experience integrating LLMs with external APIs and multi-step workflows (e.g., form parsing + summarization + ticket generation). Familiarity with tools like Zapier , Make , Airflow , or custom workflow engines . Understanding of retrieval-augmented generation (RAG) , embeddings, and prompt engineering best practices. Entrepreneurial mindset with a willingness to explore ambiguous spaces and iterate rapidly. What We Offer A unique opportunity to work directly with founders and AI researchers on defining the next era of automation. A fast-paced, early-stage startup culture with a focus on delivery, ownership, and learning . ESOPs , competitive compensation, and access to high-end compute infrastructure. Long-term growth opportunity to lead automation efforts both internally and across external enterprise deployments . How to Apply Apply on Linkedin with your GitHub portfolio , and a brief statement describing 1-2 agentic apps you've built.

We are seeking an AI Curriculum & Content Developer to help craft compelling, technically accurate, and accessible presentations, educational materials, and narratives for talks, conferences, internal training, and external outreach. Key Responsibilities Design and develop high-quality technical content in AI and ML- including slide decks, workshop materials, whitepapers, conference abstracts, and demos. Translate complex AI concepts (e.g., generative modeling, causal reasoning, multimodal AI) into engaging narratives for different audiences: technical, business, or academic. Support the companyʼs leadership in preparing for conferences, investor meetings, panels, university lectures , and media engagements. Work with internal research and product teams to extract insights and shape them into publishable or presentable formats. Help maintain and evolve our curriculum, knowledge base, and training assets for external and internal use. Minimum Qualifications Bachelorʼs or Masterʼs degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 2+ years of experience in AI/ML content development , curriculum design, or technical communication. Strong command of AI topics such as machine learning, neural networks, NLP, computer vision, and generative models . Proven ability to write and design clear, concise, and engaging educational materials and slide decks. Comfortable using tools like PowerPoint, LaTeX, Markdown, Jupyter, and graphic design platforms (Canva, Figma, or Adobe). Excellent communication skills and the ability to tailor content to different audiences. Preferred Qualifications Experience creating course material , MOOC content , or internal training decks in AI. Prior involvement in academic or industry talks , conference presentations , or panel discussions . Familiarity with recent research trends in AI (e.g., transformers, diffusion models, RLHF, RAG, prompt engineering). Video or screen-recorded tutorial creation experience is a plus. What We Offer A chance to work with a cutting-edge AI team and shape how the world understands and adopts advanced technologies. Opportunity to contribute to talks, university lectures, industry conferences , and workshops alongside leading researchers. A collaborative, research-inspired environment with access to real-world AI applications and datasets. Competitive compensation, benefits, and equity opportunities (ESOPs). How to Apply Apply on Linkedin with a link to your portfolio or sample of AI content/materials you've developed (e.g., slides, video lectures, blog posts, course outlines).

We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research , problem discovery , and real-world deployment . Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions . Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development — from prototyping to cloud/API deployment . Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters Thesis with 5 + years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL ). Expertise in deep generative models , representation learning , and probabilistic methods . Experience in building models that solve real-world problems and can be scaled into production systems . Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning , multimodal systems , or diffusion-based generation . Familiarity with retrieval-augmented generation , causal inference , or workflow agents . Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of- their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth , technical leadership , and IP ownership . A collaborative and ambitious team working on some of the most important problems in applied AI- from Mysore and Palo Alto . How to Apply Apply on Linkedin with a brief note on your research and impact, and links to relevant publications, GitHub, or demos.