About Quranium In a world where rapid innovation demands uncompromising security, Quranium stands as the uncrackable foundation of the digital future. With its quantum-proof hybrid DLT infrastructure, Quranium is redefining what's possible, ensuring data safety and resilience against current and future threats, today. No other blockchain can promise this level of protection and continuous evolution. Quranium is more than a technologyit's a movement. Empowering developers and enterprises to build with confidence, it bridges the gaps between Web2 and Web3, making digital adoption seamless, accessible, and secure for all. As the digital superhighway for a better future, Quranium is setting the standard for progress in an ever-evolving landscape. Role Overview As our AI LLM Specialist, youll be the bridge between cutting-edge AI and blockchain technology. Youll be responsible for integrating, fine-tuning, and deploying language models that enhance the experience of developers, users, and contributors across the Quranium ecosystem. Core Responsibilities Build and integrate LLM-powered tools to support:Developer onboarding and support (e.g., natural language-to-smart contract interfaces)Automated technical documentation and in-protocol searchSmart contract explanation, simulation, and summarization Fine-tune or prompt-engineer proprietary and open-source LLMs for Quranium-specific tasksExplore LLM-powered experiences for governance, staking, and ecosystem educationDesign secure and efficient LLM pipelines that respect on-chain/off-chain boundariesCollaborate with cryptographers to align LLM outputs with post-quantum security requirementsResearch and experiment with verifiable AI, zkML, or AI-driven formal verificationContribute to a best-in-class developer and user experience with intelligent AI assistance Requirements 3+ years working with LLMs (e.g., GPT, Claude, LLaMA, Mistral, etc.)Strong proficiency in Python and AI frameworks (e.g., LangChain, Hugging Face, OpenAI API)Experience with model fine-tuning, evaluation, and prompt engineeringFamiliarity with blockchain concepts and smart contract development (Solidity, Rust, etc.)Deep curiosity and willingness to explore the intersection of AI, cryptography, and decentralized systems Knowledge of Blockchain is a plusBonus: Experience with post-quantum cryptography, zkML, or formal verification tools How We Work At Quranium We are not your average team, and we are not looking for average mindsets. To thrive here, you should be someone who: Builds with security at the core. Its not an afterthought, its your starting point.Moves fast and owns outcomes. You take initiative, flag blockers early, and fix whats broken without waiting.Works like a founder. No hand-holding. Just deep ownership, resourcefulness, and a strong bias toward action.Loves to learn and share. Youre always upskilling and turning what you learn into something others can use.Thinks big. Then bigger. Bold ideas dont intimidate you. They energize you.Collaborates with intent. Clear communication, shared wins, and solving tough problems together come naturally.Thrives in a flexible, high-velocity environment. We work smart, move fast, and go long when the mission calls. If you value autonomy and momentum, youll fit right in. Location: Remote Team: Tech & Product Type: Full-time

Position This role will be part of the Wholesale Credit Risk Quantitative Research – Applied AI/ML team that has been tasked to develop Generative AI solutions on top of the firm’s big data resources. In particular, the role will focus on building tools based on LLM to enhance the current End-to-End credit risk process across all of Wholesale. Responsibilities Include but not limited to: Have deep understanding in modern Machine Learning methodologies, LLM and NLP techniques, and apply thoughtful data science and analytical skills to solve complex business problems. Develop risk strategies that improve risk monitoring capabilities through the use of data from various source. Analyze structured/unstructured data from internal and external data sources to drive actionable insights in credit risk. Lead development and rapid deployment AI solutions based on macro-economic factors and current events on the Wholesale portfolio. Develop data visualization and summarization techniques to convey key findings in dashboards and presentations to senior management. Qualifications Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) Deep understanding and practical expertise and/or work experience with Machine Learning. LLM/NLP expertise or experience is strongly preferred Experience across broad range of modern analytic and data tools, particularly Python/Anaconda, Tensorflow and/or Keras/PyTorch, Spark, SQL etc. Experience working on Cloud is preferred Experience with model implementation/production deployment is preferred Excellent problem solving, communications, and teamwork skills Financial service background preferred, but not required Desire to use modern technologies as a disruptive influence within Banking

About Us: Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced Product Manager to play a pivotal role in future success. Company Website- https://fluentinhealth.com/ Job Description: We're hiring a Product Manager to drive the development of our core health platform spanning mobile/web apps, backend systems, AI chatbot experiences, and health outcome algorithms. This role is ideal for someone who thrives in 0→1 environments, enjoys cross-functional problem-solving, and cares deeply about user impact. Responsibilities:Product Strategy: Shape and drive the roadmap across patient and provider-facing apps, backend services, and AI modules.Chat & UX: Partner with design and ML teams to evolve our AI health companion improving utility, trust, and engagement.Evaluation & Intelligence: Define frameworks and lead product work on evaluating LLM outputs, summarization quality, and clinical accuracy.User Experience: Ensure our apps are intuitive, reliable, and delightful across the patient journey onboarding, consultations, records, and follow-ups.Cross-functional Execution: Work closely with engineering, AI/ML, clinical, and ops teams to build, launch, and refine key features. Qualifications: 3-6 years of product management experience in B2C platforms experience in Healthtech, AI, or Conversational products is a strong plus.Comfortable working across frontend, backend, and AI systems you can zoom into technical details while keeping sight of user value.Data-informed, hypothesis-driven decision-maker with a bias toward action.Strong instincts for user experience, especially for mobile-first, multilingual Indian audiences.Excellent communicator who can align diverse stakeholders and build with urgency and care.Prior experience building evaluation systems for AI/LLM outputs.Exposure to Indian healthcare systems (e.g., working with doctors, patients, or medical data).Technical background or hands-on familiarity with ML workflows.

Position: AI Technical LeadExperience Required: 5+ YearsCompany: Academian (EdTech Domain)About UsAcademian is a leading EdTech company developing innovative software solutions. We focus on enhancing education through technology, delivering impactful learning experiences, and shaping the future of education with AI-driven solutions.Role OverviewWe are seeking an experienced AI Technical Lead to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.Key ResponsibilitiesAI Model Development:Design, train, and deploy AI models for diverse use cases, including:Computer Vision: Image recognition, object detection, segmentation etc.Natural Language Processing (NLP): Text classification, summarization, question-answering systems etc.Generative AI: Fine-tuning and deploying open-source large language models (LLMs) and Private Models.RAG (Retrieval-Augmented Generation): Implement AI systems combining retrieval with generative models.Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).Open-Source LLM Development:Develop and fine-tune open-source LLMs to cater to domain-specific needs.Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.Integration & Architecture:Integrate AI solutions with Vector/Graph db for advanced data relationships and queries.Implement and manage MLOps/LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.Leadership:Mentor and guide junior engineers, fostering innovation and skill development.Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.Infrastructure:Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.Best Practices:Establish robust practices for coding, testing, and documenting AI solutions.Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.RequirementsExperience5+ years of experience in AI/ML, with at least 2 years in a technical lead role.Proven expertise in designing and deploying AI solutions in production environments.Technical SkillsStrong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models.Familiarity with open-source LLM development and deployment Experience with RAG architectures, Graph Databases, and LLMOps practices.Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).Domain KnowledgeFamiliarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.Soft SkillsExceptional leadership and team mentoring abilities.Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.EducationBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields. Why Join Us:Opportunity to lead AI initiatives that shape the future of education technology.Work in a collaborative, mission-driven environment with a focus on innovation.Engage with impactful projects and cutting-edge AI technologies.Competitive salary, benefits, and opportunities for professional growth.

What You'll be doing: Locate, extract, manipulate, and organize data from operational source systems in support of analytic tool development (SQL, Python, Linux and Ansible)Create and manage SQL Server entities for use in Data Science modeling and reportingProficient usage of SQL data sources and database management like Hadoop, Oracle, and SQL serversPartner with varying levels of operations and resource management leadership to understand challenges, goals, and pain points, designing analytic solutions to address themBuild processes supporting data transformation, data structures, metadata, dependency and workload managementHelp develop and maintain code standards and repositories Requirements: 5 - 10 years' building and optimizing ‘big data’ data pipelines, architectures and data setsStrong SQL expertiseExperience working with Python and Linux.Experience working with AWS and Databricks. Understanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methodsExperience with Git (or equivalent)Solution design and troubleshooting skillsAbility to extrapolate data into information to drive process improvementsAbility to quickly learn how to use new software applicationsComfortable working in projects with varying levels of ambiguity, complexity, uncertainty, and change

We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results.Responsibilities:Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle.Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks.Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks.Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as:Text generation (content creation, summarization, chatbots).Image and video synthesis.Code generation and assistance.Synthetic data generation and augmentation.Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems.Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings.Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences.Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams.Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability.

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities Experience of minimum 14 years, with atleast 5 years in AI based techologies. Should also have past experience in Java based backend developmentAI Development and Implementation:Design, develop, and deploy cutting-edge AI solutions using GenAI technologies.Implement and optimize Large Language Models (LLMs) for natural language processing (NLP) applications.Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making.Requirements Quality Management:Integrate AI models with Requirements Management Software tool to ensure high-quality requirements management.Develop custom AI algorithms to automate requirement validation, improve quality, and detect inconsistencies.Solution Optimization and Integration:Fine-tune NLP models to align with domain-specific needs and improve accuracy.Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows.Mentorship and Leadership:Mentor junior developers on AI best practices, tools, and frameworks.Lead brainstorming sessions to explore innovative AI applications and solutions.Research and Innovation:Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems.Conduct proof-of-concept projects to evaluate emerging technologies for business use cases. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Programming Expertise:Proficient in Python with demonstrated experience in AI and ML development.GenAI and LLMs:Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs).NLP Skills:Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding.RAG Expertise:Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems.Tools and Frameworks:Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Preferred Technical And Professional Experience DevOps and MLOps:Knowledge of deploying AI models in production environments using MLOps best practices.Data Engineering:Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets.Agile Methodologies:Experience working in Agile development environments for iterative delivery.Soft Skills: Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.

Job Information Date Opened 01/07/2025 Job Type Full time Industry Technology City Kolkata State/Province West Bengal Country India Zip/Postal Code 700091 Job Description Sourcedesk Global is looking for a creative content creator and content marketing maven dedicated to producing strong, creative pieces that are incorporated into content marketing campaigns for clients. Client experience is paramount for us, meaning you are expected to communicate directly with them via email and video call. Viable candidates must handle white papers, case studies, landing pages, infographic outlines, video blog scripts and long-form articles based on an approved brief. The majority of our clients are B2B and their industries span technology, health, finance, business, education and marketing. Writing and researching confidently, and on deadline, in these spaces is a must. If you are interested in joining a company on the forefront of innovation and creativity in the content marketing industry, please apply immediately. Roles and Responsibilities – Write engaging original content for client blogs, websites, and other media. – Brainstorm and present a wide selection of creative ideas for client campaigns. – Work on multiple campaigns and articles simultaneously. – Work with account management to ensure that clients' goals are achieved – Working with North American teams to coordinate and execute projects. – Conceptualizing, writing, and reviewing high quality content and thought leadership collateral which includes: White papers, case studies, brochures, blogs, infographics, press releases, etc. – Adapting to different styles and tonalities depending on the client objectives and intended target audience – Coordinating with team and management to execute projects in an efficient and goal-oriented manner Desired Candidate Profile – Bachelor of Arts in Communications, Economics, English, Journalism, Arts & Humanities or a related discipline; or any Graduate specialisation. – Great organizational skills and ability to manage a high workload – Excellent research and summarization skills. – Conceptualizing, outlining, writing, and reviewing high quality marketing and thought leadership collateral. – Excellent English verbal and written communication skills. – Freshers with strong writing skills can also apply. About Us: Sourcedesk Global is one of the fastest-growing IT and Outsourcing solutions company head offices in Toronto and Delivery Centre in Kolkata. We are a group of young and energetic professionals with creativity and business ethics. Our customer-centric approach makes us highly creative in the use of technology which insights in improved products and services. We help our clients with an appropriate mix of business consultation, technology, digital and advertising solutions that integrate seamlessly with their marketing objectives, from start to finish. We are serving clients across Canada and US business markets. Requirements – Content marketing proven knowledge or experience: creating/editing blog posts, web copy, white papers, social media posts, copy writing etc. – Strong command of English, especially when it comes to grammar, contextual meaning, and logical structure. Benefits Why Join Us? – Enjoy flexible working hours. – Work 5 days a week. – Modern work environment. – Friendly, Supportive, professional and achievement-oriented management team. – Competitive Salary and Benefits. – We offer excellent benefits, a high-performance culture, challenging work and projects, & competitive financial rewards. Experience: 1 – 5 Years Compensation: 2,00,000 to 3,70,000 per annum Role: Content Creation / Writer Industry Type: IT Services & Consulting Functional Area: Content, Editorial & Journalism Employment Type: Full Time, Permanent Role Category: Content Management (Print / Online / Electronic)