6 Instruction Tuning Jobs

Qualification & Eligibility: Bachelor's or higher degree in a quantitative discipline (computer science, statistics, engineering, applied mathematics) Working Experience: Minimum 8+ years of experience Startup experience preferred, Edtech work experience bonus Roles & responsibilities: Lead the roadmap for Generative AI (GenAI) solutions across product and platform teams. Architect and optimise RAG pipelines (retrieval, embeddings, hybrid search, re-ranking, caching, latency-cost tradeoffs). Establish robust evaluation frameworks (automatic + human-in-the-loop) to measure LLM outputs on factuality, reasoning, hallucinations, coverage, and safety. Lead research and applied innovation around f...

As a driven and detail-oriented L5B Program Manager at Frontier Labs AI, your role will involve leading the end-to-end execution of AI data labeling workflows across various data types like text, image, audio, video, and instruction-tuned datasets. You will partner closely with researchers, data scientists, product managers, and annotation vendors to ensure the accuracy, diversity, and alignment of data with evolving research needs. Your ability to thrive in high-ambiguity, high-velocity environments and bring structure to rapidly evolving labeling workflows will be crucial. **Key Responsibilities:** - Manage AI data labeling programs ensuring high-quality annotations at scale - Translate re...

About the Role We are looking for a driven and detail-oriented L5B Program Manager to join our Frontier Labs AI team , focused on building high-quality, multi-modal data pipelines to support advanced model development and foundational research. In this role, you will lead the end-to-end execution of AI data labeling workflows across text, image, audio, video, and instruction-tuned datasets , partnering closely with researchers, data scientists, product managers, and annotation vendors. You will play a critical role in scaling and operationalising labeling operations , ensuring that the data used to train and evaluate cutting-edge models is accurate, diverse, and aligned with evolving researc...

Role: Gen AI Engineer (back-end software development role with a specialization in ML/DL and Generative AI) Company - Supply Chain Management Consulting firm Experience: Candidates must have 5+ years in ML/DL, with a minimum of 2 years specifically in Generative AI solution development. Location: Bangalore (Innovator - ITPL, The HIVE - Mahadevapura, Helios - Kadubeesanahalli) Work Mode: Hybrid - 5 days a week Budget: A maximum of a 30% hike on the candidate's current fixed CTC. Counteroffers will not be provided. Looking for immediate joiners. We are hiring for Gen AI Engineer/Hybrid/Bangalore. We need Python, PyTorch, TensorFlow, LLM, Docker (Mandatory) & IMMEDIATE joiners Gen AI Engineer -...

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionall...

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric p...