159 Huggingface Jobs

???? Senior AI/ML Engineer Multi-Agent & MCP Architect Location: Mumbai (Hybrid) Company: Fin 100X.AI Indias Protocol-Governed AI Financial OS ???? Company Description Fin 100X.AI is Indias first protocol-governed, AI-powered Financial Operating System built for Bharats 100 crore underserved citizens. We are reimagining finance through: Multi-agent AI orchestration (MCP protocol-driven) Explainable and trustworthy AI Regulatory-first design (RBI, SEBI, IRDAI, PFRDA aligned) Backed by IIT Bombay alumni and top fintech leaders, we are building AI for Bharat that blends technology, trust, and inclusion. ???? Role Overview As a Senior AI/ML Engineer (MCP + Multi-Agent Orchestration), you will be part of the founding tech braintrust that defines the core AI architecture of Fin 100X.AI. Your mission: Design and deploy a world-class, multi-agent AI stack powered by MCP (Model Context Protocol) to deliver scalable, explainable, and reliable AI-driven financial advisory modules for 100 crore users. You will directly influence: AI Laxmi orchestration Credit Booster, SIP Planner, Fraud Shield National-scale agentic financial intelligence ???? Key Responsibilities Architect and implement multi-agent AI systems using MCP protocol Build LLM orchestration pipelines (LangChain, AutoGen, CrewAI, MCP) Design retrieval-augmented pipelines (RAG) with vector memory & routing Deploy neural models (NLP, NLU, recommendation engines) at scale Create fallback, routing, and governance layers for explainable AI Integrate real-time financial intelligence APIs (OpenAI, Gemini, HuggingFace, etc.) Mentor junior AI engineers; enforce best practices in ML Ops and agent orchestration Collaborate with backend/frontend teams for end-to-end AI productionization ? Required Qualifications Core Technical Skills Strong foundation in ML/DL architectures, NLP, and LLMs Expertise in multi-agent orchestration frameworks: MCP, AutoGen, CrewAI, LangGraph Advanced experience with Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Proficient in vector search systems (Pinecone, FAISS, ChromaDB) Deep knowledge of RAG pipelines, memory graphs, prompt chaining Experience deploying models in cloud-native and microservice architectures Preferred Exposure FinTech AI systems or regulated AI environments Agent evaluation, explainability, and safety-first design Scaling AI in hybrid production (cloud + edge) environments ???? What We Value Architect mindset with hands-on coding skills Self-driven innovation and ownership from concept ? deployment Experience building AI systems for 10M+ scale Passion for financial inclusion, Bharat-first AI, and AI for Good ???? Perks Shape Indias AI Financial OS from Day 0 ESOP track + leadership growth National showcase at Global FinTech Fest 2025 Mentorship with IIT Bombay alumni & top AI architects Solve real Bharat-scale problems with MCP-first AI innovation Show more Show less

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra - India). The ideal candidate should have 12-15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed "invisible intelligence" within secure wearable systems. Must have 12-15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: Programming languages: Python C/C++ Java Kotlin JavaScript/Node.js Swift Objective-C CUDA Shell scripting Expert in: TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite Deep experience with: LLMs RAG pipelines vector DBs (FAISS, Milvus) Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops Strong in privacy-preserving AI (federated learning, differential privacy) Secure real-time comms (WebRTC, SIP, RTP) Nice to have: Experience with MCP or similar protocol frameworks Background in wearables/XR or smart glass AI platforms Expertise in platform security architectures (sandboxing, auditability) Show more Show less

You should have 5 to 8 years of good working experience in NLP. Your experience should include working with Text Classification, NER models for fine-tuning and zeroshot applications. Proficiency in Huggingface and Pytorch is required. Additionally, experience with Document Processing is expected. In Python / AI Engineering, you should be proficient in building re-usable and scalable data pipelines using Python. Experience with NoSQL databases, data analysis, ML/DL frameworks, web API frameworks, and unit testing frameworks is necessary. Experience with Microservices and Cloud technologies is essential, including Docker, ECS / EKS. Good experience with at least one cloud service provider, with AWS being preferable. General requirements for the role include the ability to handle large-scale unstructured data and a willingness to learn new frameworks to stay updated with the latest NLP developments. About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 30,000 professionals, you can expect exciting projects, opportunities to work with state-of-the-art technologies, and support for your growth throughout your career with Virtusa. At Virtusa, collaboration and a team-oriented environment are highly valued. We provide a dynamic space for great minds to nurture new ideas and strive for excellence.,

As a LLM Engineer at HuggingFace, you will play a crucial role in bridging the gap between advanced language models and real-world applications. Your primary focus will be on fine-tuning, evaluating, and deploying LLMs using frameworks such as HuggingFace and Ollama. You will be responsible for developing React-based applications with seamless LLM integrations through REST, WebSockets, and APIs. Additionally, you will work on building scalable pipelines for data extraction, cleaning, and transformation, as well as creating and managing ETL workflows for training data and RAG pipelines. Your role will also involve driving full-stack LLM feature development from prototype to production. To excel in this position, you should have at least 2 years of professional experience in ML engineering, AI tooling, or full-stack development. Strong hands-on experience with HuggingFace Transformers and LLM fine-tuning is essential. Proficiency in React, TypeScript/JavaScript, and back-end integration is required, along with comfort working with data engineering tools such as Python, SQL, and Pandas. Familiarity with vector databases, embeddings, and LLM orchestration frameworks is a plus. Candidates with experience in Ollama, LangChain, or LlamaIndex will be given bonus points. Exposure to real-time LLM applications like chatbots, copilots, or internal assistants, as well as prior work with enterprise or SaaS AI integrations, are highly valued. This role offers a remote-friendly environment with flexible working hours and a high-ownership opportunity. Join our small, fast-moving team at HuggingFace and be part of building the next generation of intelligent systems. If you are passionate about working on impactful AI products and have the drive to grow in this field, we would love to hear from you.,

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. 1. Top 3 Daily Tasks: - Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. - Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. - Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. 2. Must have: - Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Programming languages: Python C/C++ Java Kotlin JavaScript/Node.js Swift Objective-C CUDA Shell scripting - Expert in: TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite - Deep experience with: LLMs RAG pipelines vector DBs (FAISS, Milvus) - Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops - Strong in privacy-preserving AI (federated learning, differential privacy) - Secure real-time comms (WebRTC, SIP, RTP) 3. Nice to have: - Experience with MCP or similar protocol frameworks - Background in wearables/XR or smart glass AI platforms - Expertise in platform security architectures (sandboxing, auditability) Show more Show less

About the Role: We are seeking a talented and experienced GenAI Developer with expertise in Python , Large Language Models (LLMs) , Natural Language Processing (NLP) , and AI agent development to join our dynamic team. The ideal candidate will work on the development and integration of cutting-edge AI solutions in cloud environments (AWS, GCP, Azure), integrating with CRM systems, and optimizing AI model performance. You will be responsible for developing AI agents , fine-tuning models using Hugging Face Transformers , and OpenAI technologies, and optimizing systems to meet business needs in a scalable and ethical manner. The role involves close collaboration with cross-functional teams, and youll be working on AI-driven features , APIs , and cloud integrations. Key Responsibilities: AI Model Development: Design, develop, and fine-tune AI models using OpenAI LLMs , Hugging Face Transformers , and advanced NLP techniques (e.g., prompt engineering , reinforcement learning from human feedback (RLHF) ). Cloud Integration: Develop, deploy, and optimize AI solutions on cloud platforms ( AWS , GCP , Azure ) ensuring scalability , reliability , and performance . API Development & Integration: Build and maintain APIs to integrate AI solutions with CRM platforms and third-party applications. Ensure seamless integration of AI agents into customer-facing systems. Model Interpretability & Transparency: Apply model interpretability tools to ensure transparency and ethical AI practices, and help explain AI model decisions to both technical and non-technical stakeholders. Continuous Learning & Optimization: Stay updated on the latest advancements in LLMs , AI agents , and Generative AI (GenAI) technologies. Continuously optimize the performance of AI models, focusing on accuracy, efficiency, and business needs. Collaboration & Innovation: Work closely with cross-functional teams to design innovative AI-driven features. Contribute to architecture decisions and AI system enhancements. Apply Agile development practices to ensure timely delivery. Candidate Profile: Education: A Bachelor’s degree in Computer Science , Artificial Intelligence , Information Technology , or a related technical field. Experience: 2 to 4 years of professional experience in AI development , with a strong focus on LLMs , NLP , Python , and cloud platforms . Proven experience with model fine-tuning , API development , and cloud integration is essential. Skills Required: Proficiency in Python with experience in Django or other web frameworks. Strong understanding of NLP techniques, including prompt engineering and reinforcement learning . Hands-on experience with Hugging Face Transformers and OpenAI models (GPT, etc.). Strong experience with cloud platforms ( AWS , GCP , Azure ) for deploying AI solutions. Familiarity with version control systems (GitHub, Git). Experience developing and consuming RESTful APIs for seamless third-party integrations. Familiarity with database technologies (e.g., PostgreSQL , MySQL , MongoDB ) and GraphQL is a plus. Preferred Skills: Knowledge of Generative AI (GenAI) frameworks (e.g., Azure OpenAI , DALL•E ). Experience with RAG (retrieval-augmented generation) techniques for improving model performance. Familiarity with tools like Jupyter Notebooks , Streamlit , and Flask for rapid prototyping. Experience with ethical AI practices and ensuring model transparency.

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: ? Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. ? Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. ? Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: -Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting -Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite -Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) -Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops -Strong in privacy-preserving AI (federated learning, differential privacy) -Secure real-time comms (WebRTC, SIP, RTP) Nice to have: -Experience with MCP or similar protocol frameworks -Background in wearables/XR or smart glass AI platforms -Expertise in platform security architectures (sandboxing, auditability) Industry Technology, Information and Internet Employment Type Full-time Show more Show less

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.

We are seeking a skilled and passionate Senior AI Developer & Full Stack Engineer to join our innovative team. This role is ideal for someone who is enthusiastic about AI technologies and has hands-on experience building chatbots, implementing image detection tools (e.g., number plate recognition, car damage detection), and developing full-stack web applications. Role & responsibilities Design and develop AI-powered chatbots to assist end-users. Implement image-based AI tools such as: Vehicle number plate detection Car damage recognition Apply prompt engineering and context engineering techniques to improve AI model accuracy and relevance. Work with at least one AI/ML framework (e.g., TensorFlow,PyTorch, OpenCV, or Hugging Face). Design database schemas and interact with both SQL and NoSQL databases (MySQL/PostgreSQL and MongoDB). Build responsive, interactive front-end interfaces using JavaScript frameworks (e.g., React, Vue, or vanilla JS). Collaborate with cross-functional teams to integrate AI capabilities into the web platform. Write clean, scalable code and maintain documentation. Communicate technical concepts clearly in English to team members and stakeholders. Required Skills & Qualifications: 5+ years of experience in software development, with at least 1 year in AI/ML projects. Strong programming skills in Python . Hands-on experience with at least one AI/ML library or framework. Solid conceptual understanding of how AI and machine learning work. Experience in prompt engineering and context-aware AI applications . Proficiency in SQL and MongoDB . Proven experience in full-stack development , especially with JavaScript (React, Vue, or similar frameworks). Ability to manage projects from prototyping to deployment. Excellent written and verbal communication skills in English . Nice to Have: Experience with Python FastAPI or PHP OpenSwoole API development. Familiarity with cloud platforms (AWS, GCP, Azure). Experience in automotive, image recognition, or related domains. Knowledge of RESTful API design and microservices architecture

5+ years of experience in Deep Learning, including CNNs, RNNs, Transformers 2–3 years of experience in Generative AI,Proficient in Python, PyTorch, TensorFlow & Cloud platforms (AWS/GCP/Azure). Hugging Face, OpenAI APIs, LangChain, Weights & Biases.

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should possess 12-15 years of experience in cloud-native and distributed systems, with 2-3 years focusing on GenAI/LLMs utilizing tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is essential. Experience with RAG, semantic search, agent orchestration, and MLOps is highly valued. Strong architectural acumen, effective stakeholder communication skills, and preferred certifications in cloud technologies, AI open-source contributions, and knowledge of security and governance are all advantageous.,

QuillBot is an AI-powered writing platform that aims to revolutionize the writing process. With over 50 million monthly active users, including students, professionals, and educators, QuillBot offers free online writing and research tools to enhance effectiveness, productivity, and confidence. The team at QuillBot believes in the empowerment that comes from learning how to write and seeks to automate the tedious aspects of writing, allowing users to focus on their creativity. Whether you're crafting essays, social media content, or emails, QuillBot is here to support you with its array of productivity-enhancing tools that are reshaping the writing landscape. Recently, QuillBot was acquired by CourseHero, a 15-year-old Ed-Tech unicorn now known as Learneo, based in California. We are looking for candidates with Bachelor's, Master's, or Ph.D. degrees, particularly those from leading engineering institutions. Ideal candidates will have 3-6 years of practical experience in natural language processing and machine learning, gained through previous roles, academic projects, or independent endeavors. Proficiency in Python and deep learning toolkits such as PyTorch and HuggingFace is essential. Candidates should also possess experience in training neural network models for natural language processing applications, in addition to a genuine passion for artificial intelligence, natural language processing, and machine learning. A strong command of the English language is also required. As a member of the QuillBot team, your responsibilities will include designing and developing natural language technologies like paraphrasing, grammar checking, and summarization. You will be tasked with selecting and implementing cutting-edge methods from the realms of natural language processing and machine learning to address various challenges. Optimization of solutions, development of internal tools for AI component creation, and data analysis to enhance performance will be key aspects of the role. You will also collaborate with other AI teams, contribute innovative ideas, and stay abreast of the latest developments in natural language processing and machine learning research. Joining QuillBot means collaborating with a dedicated and supportive team committed to technological innovation. You will have the opportunity to challenge yourself, grow professionally, and thrive in a collaborative and inclusive work environment. We offer a competitive compensation package, inclusive of salary, RSUs, and annual bonuses, along with benefits such as medical coverage, life and accidental insurance, and various types of leave. Professional development opportunities, maternity and parental leave, hybrid and remote work options, as well as tech stipends and premium access to QuillBot are also part of our comprehensive benefits package. Candidates from diverse backgrounds are encouraged to apply, as we value the unique perspectives and experiences they bring to our team. This role is open for hire in India. #QuillBot #LI-MG1 #LI-Remote QuillBot is an equal opportunity employer committed to creating a diverse and inclusive workplace.,

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should have 12-15 years of experience in cloud-native and distributed systems, with at least 2-3 years of experience in GenAI/LLMs using tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is required. Experience with technologies like RAG, semantic search, agent orchestration, and MLOps will be beneficial for this role. Strong architectural thinking and effective communication with stakeholders are essential skills. Preferred qualifications include cloud certifications, AI open-source contributions, and knowledge of security and governance principles. If you are passionate about designing cutting-edge Generative AI solutions and possess the necessary skills and experience, we encourage you to apply for this leadership role.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

Job Title: Technical Product Owner (AI/NLP & US Healthcare) Location: Remote (India) Experience: 5+ Years Industry: Healthcare Technology / AI & Machine Learning Employment Type: Full-Time About the Role We are hiring a Product Owner with deep expertise in AI/NLP and US healthcare risk adjustment coding . This role blends strategic product leadership with hands-on technical guidance to build AI-powered solutions for medical record retrieval and automated risk coding . Key Responsibilities Product Strategy & Ownership Define and own the product vision for AI/NLP-based coding automation. Develop and manage product roadmap aligned with payer and regulatory needs. Lead Agile ceremonies: backlog grooming, sprint planning, and lifecycle management. Translate healthcare coding requirements into AI/NLP features and user stories. Collaborate with stakeholders to drive adoption and feedback. AI/NLP Technical Leadership Lead AI/NLP engineering and data science teams. Guide model development for clinical concept extraction, OCR, diagnosis classification, etc. Improve model performance (accuracy, recall, explainability). Direct architecture, dataset strategy, and deployment pipelines. Ensure scalable and compliant AI delivery. Healthcare & Risk Adjustment Alignment Partner with coding, compliance, and operations teams. Monitor coding quality and risk adjustment performance metrics. Required Qualifications 5+ years in product management; 3+ years in AI/NLP for US healthcare. Experience with clinical text extraction, coding automation, EHR/claims data. Technical Skills (Preferred) Background as Technical Product Owner, Engineering Manager, or AI Lead. Familiarity with ML pipelines, cloud deployment (AWS/Azure), Python, PyTorch/TensorFlow, spaCy, HuggingFace, LLMs. Knowledge of OCR tools, REST APIs, FHIR/HL7, MLOps, and model explainability. Leadership & Communication Proven ability to lead cross-functional teams. Strong communication across technical, business, and compliance domains. Agile leadership and prioritization skills. Preferred Qualifications Experience with payer coding platforms, risk analytics dashboards. Exposure to chart retrieval systems, audit workflows. Masters/PhD in Computer Science, AI/ML, Data Science, or Health Informatics. Why Join Us? 100% Remote Work from anywhere Join a fast-growing product-based company Lead next-gen AI/NLP innovations in healthcare Drive both strategy and execution of high-impact products Be part of a mission-driven team transforming healthcare with ethical, scalable AI Send your resume to ajay.kumar@advantmed.com , along with answers to: 1 Total years of relevant experience 2 Years of experience in U.S. Healthcare Risk Adjustment Coding 3 Brief summary of your U.S. healthcare experience 4 Current designation 5 Current CTC 6 Expected CTC 7 Official notice period 8 Earliest joining date 9 Certifications you hold (AI, Product, Healthcare, etc.) Team size you manage and a brief overview of your team structure Recruiter Details: ajay.kumar@advantmed.com https://www.linkedin.com/in/ajay-kumar-323b3a22a/

We are seeking a versatile Full Stack Developer to join our dynamic EdTech team at eduCOBOT. Your primary responsibility will be to build, scale, and maintain an AI-powered, hardware-integrated learning platform focused on robotics, IoT, and STEM education. This platform is similar to Innov8r.ai but with a specific emphasis on the mentioned areas. As a Full Stack Developer in our team, you will play a cross-functional role that involves frontend development, backend engineering, AI integration, and microcontroller interfacing using Arduino/ESP32. Your key responsibilities will include developing responsive UIs with React.js or Next.js, managing backend APIs using Node.js + Express, integrating AI tools for agentic learning experiences, connecting web interface with hardware components for interactive robotics modules, handling databases, implementing OAuth, dashboards, gamified learning paths, and managing CI/CD pipelines and cloud deployments. To excel in this role, you should be familiar with technologies such as React.js, Next.js, Node.js, Express, PostgreSQL, MongoDB, Arduino IDE, ESP32, OpenAI, LangChain, among others. Experience in building dynamic web platforms, familiarity with agentic AI concepts, strong problem-solving skills, and prior exposure to robotics, sensors, IoT, or educational products are highly desirable. Additionally, your willingness to work in a fast-paced, impact-first startup environment is crucial. Joining eduCOBOT offers you the opportunity to be part of India's leading AI-driven STEM learning platform, contribute to tools used by students and educators, and work on live AI + Robotics integrations that power real-world learning. You will also benefit from a flat team structure, high ownership, and mission-driven growth. If you are ready to take on this exciting challenge, please send your CV and any work samples (GitHub, website, etc.) to admin@educobot.com.,

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As an AI/ML & GenAI Developer Intern at ArgyleEnigma Tech Labs working on the FinDocGPT project, you will be part of a groundbreaking initiative to make complex financial documents easily understandable for millions of Indians. This internship opportunity offers a stipend ranging from 8,000 to 12,000 INR per month for a duration of 6 months, starting immediately. At FinDocGPT, we are dedicated to leveraging cutting-edge AI/ML and GenAI technologies to provide a transformative solution that bridges the financial literacy gap in India. Our product, FinDocGPT, is India's first AI-powered assistant that decodes intricate financial documents into simple, regional language, covering areas such as health insurance, loans, and mutual fund terms and conditions. Supported by Google for Startups and the Reserve Bank Innovation Hub, we are on a mission to empower individuals by offering financial information in a language they understand. As an AI/ML & Generative AI Developer Intern, you will have the opportunity to gain hands-on experience in deploying GenAI models, NLP pipelines, and ML-based document processing. Your responsibilities will include working on document classification, NER, and summarization using advanced LLMs such as LLaMA, Mistral, Groq, and open-source models. Additionally, you will preprocess, clean, and structure financial documents in various formats like PDFs, scans, and emails. Collaborating with the product and design teams, you will contribute to building smart and user-friendly interfaces. To excel in this role, you should possess a strong understanding of Python, NLP, and basic ML concepts. Familiarity with transformers like BERT, T5, or GPT architectures is essential. Experience, even in an academic setting, with HuggingFace, LangChain, or LLM APIs is preferred. Knowledge of Google Cloud, AWS, or Docker would be a bonus. We are looking for individuals who are eager to learn, experiment quickly, and create a tangible impact. By joining us, you will receive direct mentorship from industry experts with backgrounds in companies such as Morgan Stanley, PIMCO, and Google. You will gain real-world exposure to AI applications tailored for the Indian market and have the opportunity to transition into a full-time role based on your performance. Your work will directly contribute to enhancing financial inclusion in India. To apply for this internship, please send your CV, GitHub/portfolio, and a brief statement explaining why you are interested in this role to info@argyleenigma.com or apply via https://tinyurl.com/hr-aetl with the subject line "Internship Application - FinDocGPT." This internship is based in Gandhinagar, Gujarat, and requires in-person work. The expected start date is 01/08/2025.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

We are seeking a Senior LLM Engineer to actively contribute to the development of cutting-edge GenAI applications. Your responsibilities will include building GenAI applications that align with business use cases, designing and optimizing prompts for multi-modal models, testing GenAI solutions to ensure they meet requirements and implementing guardrails to prevent unintended or harmful content generation. Additionally, you will be involved in designing conversational or RAG systems. To be successful in this role, you should have a Bachelor's degree in Engineering or related fields with at least 3 years of experience in ML/LLMs. You should possess knowledge of prompt engineering techniques such as chain of thoughts, tree of thoughts, guardrails, zero-shot or few-shot prompting. Familiarity with open-source and proprietary LLMs like GPT, Claude, LLaMA, and Mistral is required. Proficiency in Python programming and experience with libraries like numpy and pandas are essential. Hands-on experience with frameworks such as Langchain, LlamaIndex, Huggingface, or similar tools is preferred. Knowledge of RAG and experience with self-hosted/cloud-based vector databases is a plus. The ideal candidate will have a proven ability to work effectively in a cross-discipline environment within defined timelines. Experience with cloud-based systems, particularly GCP or AWS, is highly desirable. Strong analytical, problem-solving, written, and verbal communication skills are also key requirements. This position is based in Ahmedabad or Pune.,

As a Senior Generative AI Engineer, your primary role will involve conducting original research on generative AI models. You will focus on exploring model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. It is essential to maintain a strong publication record in esteemed conferences and journals, demonstrating your valuable contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). In addition, you will be responsible for designing and experimenting with multimodal generative models that incorporate various data types such as text, images, and other modalities to enhance AI capabilities. Your expertise will be crucial in developing autonomous AI systems that exhibit agentic behavior, enabling them to make independent decisions and adapt to dynamic environments. Leading the design, development, and implementation of generative AI models and systems will be a key aspect of your role. This involves selecting suitable models, training them on extensive datasets, fine-tuning hyperparameters, and optimizing overall performance. It is imperative to have a deep understanding of the problem domain to ensure effective model development and implementation. Furthermore, you will be tasked with optimizing generative AI algorithms to enhance their efficiency, scalability, and computational performance. Techniques such as parallelization, distributed computing, and hardware acceleration will be utilized to maximize the capabilities of modern computing architectures. Managing large datasets through data preprocessing and feature engineering to extract critical information for generative AI models will also be a crucial aspect of your responsibilities. Your role will also involve evaluating the performance of generative AI models using relevant metrics and validation techniques. By conducting experiments, analyzing results, and iteratively refining models, you will work towards achieving desired performance benchmarks. Providing technical leadership and mentorship to junior team members, guiding their development in generative AI, will also be part of your responsibilities. Documenting research findings, model architectures, methodologies, and experimental results thoroughly is essential. You will prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Additionally, staying updated on the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities is crucial to foster a culture of learning and innovation within the team. Mandatory technical skills for this role include strong programming abilities in Python and familiarity with frameworks like PyTorch or TensorFlow. In-depth knowledge of Deep Learning concepts such as CNN, RNN, LSTM, Transformers LLMs (BERT, GEPT, etc.), and NLP algorithms is required. Experience with frameworks like Langgraph, CrewAI, or Autogen for developing, deploying, and evaluating AI agents is also essential. Preferred technical skills include expertise in cloud computing, particularly with Google/AWS/Azure Cloud Platform, and understanding Data Analytics Services offered by these platforms. Hands-on experience with ML platforms like GCP: Vertex AI, Azure: AI Foundry, or AWS SageMaker is desirable. Strong communication skills, the ability to work independently with minimal supervision, and a proactive approach to escalate when necessary are also key attributes for this role. If you have a Master's or PhD degree in Computer Science and 6 to 8 years of experience with a strong record of publications in top-tier conferences and journals, this role could be a great fit for you. Preference will be given to research scholars from esteemed institutions like IITs, NITs, and IIITs.,

- Proficiency in LLM systems, prompt fine-tuning - experience with infrastructure management, model deployment, and optimization. - Understanding of cloud architecture, performance and scalability. - Experience with machine learning frameworks Health insurance Provident fund

As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 5-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.