299 Hugging Face Jobs - Page 7

Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India's debt market to marching towards global corporate markets from one product to one holistic product suite with seven products, Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi has on-boarded over 17000+ enterprises, 6200+ investors & lenders, and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, Yubi is revolutionizing the global debt platform segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. We're looking for a highly skilled, results-driven AI Developer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, NLP, and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Lead Data Scientist, you will take ownership of designing and implementing state-of-the-art AI products. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained models - you'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities - Architect, develop, and deploy high-performance AI Solutions for real-world applications. - Implement and optimize state-of-the-art LLM, OCR models, and frameworks. - Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. - Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. - Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). - Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. - Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. - Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. What We're Looking For Required Skills & Qualifications: - Proven technical expertise with strong programming skills in Python, PyTorch, TensorFlow with deep experience in NLP and LLM. - Hands-on experience in developing, training, and deploying LLM and Agentic workflows. - Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. - Deep understanding of Transformer-based architectures for vision and text processing. - Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. - Autonomous problem solver who takes initiative, works independently, and drives projects from research to production. - Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). - Thrives in fast-paced environments, embraces challenges, pivots quickly, and executes effectively. - Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. - Experience in multi-modal models (Vision + Text). Good to Have - Financial background and understanding corporate finance. - Contributions to open-source AI projects.,

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. Interact with C-level at our clients on a regular basis to drive their business towards impactful change. Lead your team in creating new business solutions. Seize opportunities at the client and at Metyis in our entrepreneurial environment. Become part of a fast-growing international and diverse team. Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross-functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas and Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Hands-on experience with MLOps and model governance best practices in production environments. Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,

You should have proficiency in C, C++, Python, Data structures and Algorithm, Machine Learning, Artificial Neural Network, Statistical Analysis, SQL, DBMS, OOPs, NumPy, Pandas, Matplotlib, Sklearn, and Hugging Face. It is essential to possess excellent communication and interpersonal skills. The location for this position is Gurgaon. The ideal candidate should have a qualification of BCA / MCA / B-tech and must have 2 to 4 years of experience. This job falls under the IT Software industry type.,

As a Data Scientist specializing in GenAI within the Banking domain, you will leverage your extensive experience of over 10 years in Data Science, with a specific focus of 3+ years in GenAI. Your key responsibility will revolve around developing, training, and fine-tuning GenAI models such as LLMs, GPT, etc., tailored for banking use cases. Additionally, you will be tasked with designing and implementing predictive models, NLP solutions, and recommendation systems while working with large volumes of structured and unstructured financial data. Collaboration with business and product teams to define AI-driven solutions will be crucial in your role. You will play a pivotal part in ensuring responsible AI practices, fairness, explainability, and compliance in model outputs. Deployment of models using MLOps practices including CI/CD pipelines and model monitoring will also be within your purview. Your skill set must include strong proficiency in Python programming along with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Hands-on experience with GenAI tools such as OpenAI, Hugging Face, LangChain, Azure OpenAI, etc., will be essential. Expertise in NLP, prompt engineering, embeddings, and vector databases is a prerequisite. Furthermore, you should have experience in building models for credit risk assessment, fraud detection, customer segmentation, among others. A solid understanding of banking data, processes, and regulatory requirements is essential for success in this role. Moreover, having knowledge in LLM fine-tuning and retrieval-augmented generation (RAG) is considered a good-to-have skill. Exposure to data privacy and compliance standards such as GDPR, RBI guidelines, in AI systems will be an added advantage.,

As a Founding AI Engineer, you will be responsible for building the AI Reasoning Layer for Education. You will play a crucial role in reimagining the core intelligence layer for education, addressing the challenging task of subjective assessment automation and ultra-personalized learning at scale. This opportunity goes beyond a typical LLM application as you will be involved in developing a first-principles AI reasoning engine that integrates multi-modal learning, dynamic knowledge graphs, and real-time content generation. The ultimate goal is to revolutionize the education sector by eliminating manual evaluation time wastage and creating an AI system that comprehends the human learning process. Your primary tasks will involve solving complex problems at the cutting edge of LLMs, computer vision, and generative reasoning. You will be working on challenges such as achieving near-human accuracy in Handwriting OCR, real-time learner knowledge modeling, creating generative AI for dynamic video lessons, and building scalable inference infrastructure to support millions of learners in real time. In this role, you will architect, deploy, and optimize multi-modal AI systems including OCR, knowledge-state inference, and adaptive content generation. You will design reasoning engines that merge LLMs, retrieval methods, and learner data to dynamically steer the learning process. Fine-tuning foundation models, implementing advanced techniques, and designing production-grade AI systems will be integral parts of your responsibilities. Additionally, you will lead experiments at the forefront of AI research and have the opportunity to publish your findings. The ideal candidate must possess deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning, proficiency in AI frameworks like PyTorch, TensorFlow, and Hugging Face, as well as knowledge of optimizing AI for production are essential requirements. Experience in knowledge graphs, AI-driven reasoning systems, and familiarity with Diffusion Models, Transformers, and GNNs are highly desirable skills. This role offers a unique opportunity to define the AI stack for a groundbreaking product right from its inception. You will have significant ownership across research, engineering, and infrastructure domains, along with founding-level equity in a high-growth company addressing a multi-billion dollar problem in the education sector. If you are passionate about pushing the boundaries of LLMs, CV, and multimodal models, and shaping the foundational AI layer for education, this role is tailored for you.,

You will be joining a dynamic team as an AI Trainer in the AI Learning & Development / Technical Training department. Your primary role will involve designing, developing, and delivering high-quality AI education programs in collaboration with the software product engineering team. As an expert in AI and open-source technologies, you will have the opportunity to mentor and teach the next generation of AI professionals. Your key responsibilities will include collaborating with the engineering team to create industry-aligned AI training programs, conducting training needs analysis, developing customized training roadmaps, delivering large-scale training sessions, workshops, and bootcamps, and incorporating open-source technologies for innovation. You will also mentor learners through projects and assignments to ensure practical skill acquisition, create training content, assessments, and feedback mechanisms for continuous improvement, and stay updated with emerging trends in AI/ML technologies to enhance training programs. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field, along with at least 5 years of experience in curating and delivering technical training programs. Strong expertise in open-source AI/ML tools like Python, TensorFlow, PyTorch, Hugging Face, and LangChain is essential. Additionally, you should have experience with LLMs, prompt engineering, vector databases, and AI agent frameworks, along with excellent communication skills to explain complex concepts effectively. Preferred qualifications include familiarity with AI integration in enterprise software products, exposure to cloud platforms and containerization tools, experience in edtech or AI sectors, and contributions to open-source projects or community involvement. Prior experience with AI certification programs from leading providers like AWS, Nvidia, GCP, or Microsoft would be advantageous. In this role, you will have the opportunity to work at the forefront of AI education and innovation, collaborate with a multidisciplinary product engineering team, and contribute to a mission-driven organization focused on real-world impact. You can expect opportunities for growth into strategic leadership, curriculum innovation, or AI evangelism roles, within a supportive and intellectually vibrant work culture that provides access to the latest tools and resources.,

Nair Systems, is a DIFC based, boutique leading edge technology consulting and professional services firm focusing on Digital Banking, Artificial Intelligence, Big Data & Data Analytics, Cyber Security, Blockchain and Cryptocurrency and Robotic Process Automation. Nair Systems is currently looking for AI Solutions Architect Lead for our UAE operations with the following Skill set and terms & conditions. Skill Sets : Key Responsibilities: Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions. Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives. Translate business requirements into scalable and secure AI system architectures. Oversee the development and deployment of AI/ML models in production environments. Guide data scientists, engineers, and developers in adopting AI best practices and technologies. Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring. Design AI solutions integrated with enterprise platforms (ERP, CRM, data lakes, APIs). Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance. Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics. Mentor and lead technical teams; influence architectural decisions across business units. Required Technical Skills: AI/ML Expertise: Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI. Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs. Architecture & System Design: Proven experience in designing scalable and secure cloud-native AI solutions. Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems. MLOps & DevOps: Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines. Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Data & Integration: Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines. Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware. Leadership & Soft Skills: Strong leadership experience managing multidisciplinary AI/ML teams. Ability to drive architecture governance, code quality, and technical standards. Excellent communication and presentation skills to influence technical and non-technical stakeholders. Strategic thinker with a passion for AI innovation and enterprise transformation. Preferred Experience: 10+ years of experience in software or data architecture roles, with 45 years focused on AI/ML. Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail. Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001). Preferred Certifications: AWS Certified Machine Learning Specialty Microsoft Azure AI Engineer Associate Google Professional Machine Learning Engineer TOGAF or other architecture frameworks (optional but valuable) Responsible AI or ethical AI certifications (optional). 10+ Years. Joining time frame: 2 weeks (maximum 1 month) Should yoube interested in this opportunity, please send your latest resume at [HIDDEN TEXT]

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained models like BERT, GPT-3, and Transformers, as well as text preprocessing techniques including tokenization, part-of-speech tagging, lemmatization, stemming, and named entity recognition, will be highly valued. As a key member of our team, you will be expected to stay updated with the latest advancements in NLP technologies and play a crucial role in the growth and transformation of businesses. Your role will involve handling NLP tasks such as sentiment analysis, text classification, and entity recognition, while also focusing on effective stakeholder management and people leadership. Join us in changing how AI/ML is approached in the service sector and delivering outcomes that matter. Your contributions will enable businesses to grow, transform, and achieve their objectives, ultimately increasing profit and delivering improved value for customers.,

The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. You will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data. Implement and execute model evaluation experiments to test and pick the best model for a certain task. Build high throughput and automated data pipelines to allow Data analysis and model training. Lead feature engineering to select the most relevant features in datasets to train models on. Pick the right set of evaluation metrics to test model candidates for deployment. Use MLOps principles to allow continuous model tuning and performance improvements. 2. AI/ML Model Deployment Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must. Worked on pre-processing pipelines ensuring security compliances standards are met. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices.,

Were looking for a hands-on, product-minded full-stack developer with a strong interest in AI and automation . This role is ideal for someone who loves to build, experiment, and bring ideas to life fast. You&aposll work closely with the founding team to prototype AI-powered tools and products from scratch.This is a highly AI-focused role where you will build tools powered by LLMs, workflow automation, and real-time data intelligence not just build web apps, but create AI-first products . Location - Kochi, Bangalore | Years of experience - 1-3 Years Hire22. ai connects top talent with executive role s anonymously and confidential ly, transforming hiring through a n AI-first, instant CoNCT mod el. Companies ge t interview-ready candidates in just 22 hours . No telecalling, no spam, no manual filtering. Responsibilities Build and experiment with AI-first features powered by LLMs, embeddings, vector databases, and prompt-based workflows Fine-tune or adapt AI/ML models for specific use cases such as job matching, summarization, scoring, and classification Integrate and orchestrate AI capabilities using tools like Vertex AI, LangChain, Cursor, n8n, Flowise, etc. Work with vector databases and implement retrieval-augmented generation (RAG) patterns to build intelligent, context-aware AI applications. Design, build, and maintain full-stack web applications using Next.js and Python as supporting layers around core AI functionality Rapidly prototype ideas, test hypotheses, and iterate fast based on feedback Collaborate with product, design, and founders to transform internal ideas into deployable, AI-powered tools Building internal AI agents, assistants, or copilots Building tools for automated decision-making, resume/job matching, or workflow automation Skills Full-Stack Proficiency: Strong command of JavaScript/TypeScript with experience in modern frameworks like React or Next.js. Back-end experience with Python (FastAPI), orGo. Database Fluent: Comfortable working with both SQL (MySQL) and NoSQL databases (MongoDB, Redis), with good data modeling instincts. AI/ML First Mindset: Hands-on with integrating and optimizing AI models using frameworks like OpenAI, Hugging Face, LangChain, or TensorFlow. You understand LLM architecture, prompt engineering, embeddings, and AI orchestration tools. Youve ideally built or experimented with AI-driven applications beyond just using APIs.. Builder Mentality: Passionate about product thinking and going from zero to one. You take ownership, work independently, and execute quickly without waiting for perfect clarity. Problem Solver: You break down complex problems, learn fast, and deliver clean, efficient solutions. You value both speed and quality. Communicator & Collaborator: You express your ideas clearly, ask good questions, and keep teams in sync by sharing progress and blockers openly. Show more Show less

As an AI Engineer passionate about Generative AI and AI-assisted modernization, you will be responsible for developing cutting-edge solutions to drive innovation within the organization. Your primary focus will be on designing and developing in-house GenAI applications, collaborating with vendors to implement proof of concepts (POCs) for complex AI solutions, and aiding in the modernization of legacy systems through AI-driven automation. Your key responsibilities will include: - Designing and developing in-house GenAI applications tailored to internal use cases. - Collaborating with vendors to evaluate and implement POCs for advanced AI solutions. - Working on AI-powered tools to modernize Software Development Life Cycle (SDLC) and migrate code from legacy to modern technologies. - Providing technical support, training, and AI adoption strategies for internal users and teams. - Assisting in integrating AI solutions into software development processes. To excel in this role, you must have: - A Bachelor's or Master's degree in Computer Science, Computer Engineering, Computer Applications, Information Technology, or a related field in AI/ML. - Relevant certification in AI/ML would be advantageous. - Experience with at least 2 successful AI/ML POCs or production deployments. - Previous involvement in AI-powered automation, AI-based DevOps, or AI-assisted coding. - Demonstrated teamwork and delivery capabilities. - Strong analytical and problem-solving skills with a continuous learning mindset. - A positive attitude with attention to detail. In terms of AI/ML expertise, you should possess: - Proficiency in Python programming. - Hands-on experience with GenAI models and Large Language Models (LLMs/SLMs) in real projects or POCs. - Practical experience in Machine Learning and Deep Learning. - Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face. - Understanding of MLOps pipelines and AI model deployment. Additionally, familiarity with System Modernization & Enterprise Technologies is beneficial: - Basic knowledge of Java, Spring, React, Kotlin, and Groovy. - Willingness to work on AI-driven migration projects like PL/SQL to Emery or JavaScript to Groovy DSL. - Experience with code quality, AI-assisted code refactoring, and testing frameworks. For Enterprise integration & AI adoption, you should have: - The ability to integrate AI solutions into enterprise workflows. - Experience with API development and AI model integration in applications. - Proficiency in version control and collaboration tools like Git and CI/CD pipelines. While not mandatory, the following would be considered advantageous: - Experience in code migration and modernization projects. - Exposure to third-party AI tools and their adoption in enterprises. - AI-driven development experience for large-scale software applications.,

As an Azure AI Engineer at Optimum Data Analytics, you will be a key member of our team in Pune, contributing to the design and deployment of cutting-edge AI/ML solutions using Azure cloud services. You should have a minimum of 5 years of hands-on experience in the field and hold either the Microsoft Azure AI Engineer Associate or Microsoft Azure Data Scientist Associate certification. Your role will involve collaborating with business stakeholders, data engineers, and product teams to deliver scalable and production-ready AI solutions that drive business value and growth. Key Responsibilities - Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services. - Implement and manage data pipelines for model training workflows and ML lifecycle within the Azure ecosystem. - Work closely with business stakeholders to gather requirements, analyze data, and provide predictive insights. - Collaborate with data engineers and product teams to ensure the delivery of scalable and production-ready AI solutions. - Establish and maintain best practices for model monitoring, versioning, governance, and responsible AI practices. - Contribute to solution documentation and technical architecture. - Design AI agents using Azure stack tools such as Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, and LangGraph. Required Skills & Qualifications - Minimum of 5 years of hands-on experience in AI/ML, data science, or machine learning engineering. - Mandatory Certification: Microsoft Azure AI Engineer Associate OR Microsoft Azure Data Scientist Associate. - Strong knowledge of Azure services including Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage. - Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. - Solid understanding of data science lifecycle, model evaluation, and performance optimization. - Experience with version control tools like Git and deployment through CI/CD pipelines. - Excellent problem-solving and communication skills. - Strong experience in building AI Agents. - Familiarity with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases, etc.). Good To Have - Experience with Power BI or other data visualization tools. - Exposure to MLOps tools and practices. If you are passionate about leveraging AI/ML to drive business transformation and meet organizational objectives, we encourage you to apply for this position and be part of our dynamic team at Optimum Data Analytics.,

???? We&aposre Hiring: Artificial Intelligence Consultant! ???? We&aposre seeking a highly motivated and technically adept Artificial Intelligence Consultant to join our growing Artificial Intelligence and Business Transformation practice. This role is ideal for a strategic thinker with a strong blend of leadership, business consulting acumen, and technical expertise in Python, LLMs, Retrieval-Augmented Generation (RAG), and agentic systems. Experience Required: Minimum 6+ Years Location: Remote/ Work From Home Job Type: Contract to hire (1 Year /Renewable Contract) Notice Period: Immediate to 15 Days Max Mode of Interview: Virtual Roles And Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings. Essential Skills Education : Bachelor&aposs or Masters in Computer Science, AI, Engineering, or related field. Experience : Minimum 6 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP including compute instances, storage, managed services, and serverless/cloud-native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. Show more Show less

Location: Vadodara Company: Sharedpro Technology Pvt Ltd About the Role Sharedpro is seeking a skilled Backend Developer with strong expertise in Java or Python , and hands-on experience working with AI tools and frameworks. The ideal candidate will be responsible for building scalable backend systems, integrating AI-driven modules, and collaborating with cross-functional teams to deliver intelligent applications. Eligibility : Only candidates based in Vadodara or nearby locations will be considered. Key Responsibilities Design, develop, and maintain robust backend systems using Java or Python and related frameworks such as Spring Boot, Flask, or Django. Integrate with AI models, APIs, and tools to enable intelligent features within products. Build RESTful APIs and data pipelines to support ML/AI applications. Optimize performance, scalability, and security of backend infrastructure. Work closely with AI/ML teams to implement model inference, deployment, and monitoring workflows. Write clean, modular, and well-tested code following best practices. Collaborate with frontend developers, product managers, and data engineers. Required Skills & Experience Minimum 2 years of backend development experience with Java or Python. Hands-on experience with AI/ML tools, model integration, or inference engines (e.g., Hugging Face, OpenAI, TensorFlow, LangChain). Strong understanding of REST APIs, JSON, and asynchronous programming. Experience with relational or NoSQL databases (e.g., MySQL, MongoDB). Familiarity with Docker, Git, and CI/CD pipelines. Basic knowledge of cloud platforms such as AWS, GCP, or Azure. Preferred Qualifications Exposure to large language model APIs (e.g., OpenAI, Cohere, Claude). Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS). Understanding of microservices architecture and API gateway implementations. To apply, submit your resume or reach out to the Sharedpro hiring team for more details. Show more Show less

Responsibilities Design and fine-tune LLMs (Large Language Models) for BFSI use-cases: intelligent document processing, report generation, chatbots, advisory tools. Evaluate and apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning methods. Implement safeguards, red-teaming, and audit mechanisms for LLM usage in BFSI. Work with data privacy, legal, and compliance teams to align GenAI outputs with industry regulations. Collaborate with enterprise architects to integrate GenAI into existing digital platforms. Qualifications 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. BFSI-specific experience in document processing, regulatory reporting, or virtual agents using GenAI is highly preferred. Exposure to prompt safety, model alignment, and RAG pipelines is critical. Essential Skills Tech Stack LLMs: GPT (OpenAI), Claude, LLaMA, Mistral, Falcon Tools: LangChain, LlamaIndex, Pinecone, Weaviate Frameworks: Transformers (Hugging Face), PEFT, DeepSpeed APIs: OpenAI, Cohere, Anthropic, Azure OpenAI Cloud: GCP GenAI Studio, GCP Vertex AI Others: Prompt engineering, RAG, vector databases, role-based guardrails Experience 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. Show more Show less

Job Location: Baner, Pune Position Summary: The D&IT AI Platform & Products team is seeking an experienced and hands-on Product Owner to lead the development and ownership of our internal Generative AI capabilities. The successful candidate will work closely with businesses to understand their Gen AI needs, identify high-value opportunities, and deliver impactful AI solutions. This role requires strategic thinking, high-level understanding of LLM capabilities, and collaboration with cross-functional teams to drive the successful implementation and adoption of GenAI solutions across Corning s businesses. You will define the product s roadmap, oversee its management, and ensure alignment with business priorities and objectives. In this role, you will also work cross functionally to scale and grow AI functions that support future business growth. Responsibilities: Application software design patterns and software architecture Front-end development with a variety of web frameworks using both reactive and responsive design techniques as appropriate Back-end development with multiple development stacks using authentication, network and storage APIs, serialization and deserialization, server-side application development using object oriented and functional programming techniques as needed and programmatic SQL for data access Elicit requirements from our business partners to build applications and translate into a solution. Design & develop, test, deploy and monitor custom applications using a variety of application frameworks and systems like vuejs, flask, and huggingface Work with the patterns and platforms team to confirm design and leverage existing patterns and/or contribute to patterns catalog Participate in architecture and software development activities Translate loosely defined requirements into solutions Debug production issues across services, at all component levels Use our toolchain service offering for your day-to-day activities and work to continually improve it Education & Experience: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degree preferred. Certification in AWS cloud infrastructure preferred. Minimum 5+ years experience with 3+ years proven experience as a fullstack developer or similar role in a digital technology organization. Required Skills: Strong technical collaboration and communication skills as well as theability to drive cultural change and adoption of best practices through community participation Ability to collaborate with other teams across the company, defining technology roadmaps, sharing experiences and lessons learned for continual improvement Excellent problem-solving and troubleshooting skills Process-oriented with great documentation skills Ability to document code. Experience with agile methodologies. Proficiency with agile software development tools including Gitlab, Jira, CI/CD and technical documentation tools Development experience in python. Agile framework (scrum) Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and technologies. Desired Skills: Databricks Hands on experience with Hugging Face Experience building a GenAI application .net, C#, java, node.js A strong sense for the importance of documentation, and the importance of not having to learn things twice Ability to work in an agile product team environment and balance a diverse set of stakeholder requests

Job Location: Baner, Pune Position Summary: The D&IT AI Platform & Products team is seeking an experienced and hands-on Product Owner to lead the development and ownership of our internal Generative AI capabilities. The successful candidate will work closely with businesses to understand their Gen AI needs, identify high-value opportunities, and deliver impactful AI solutions. This role requires strategic thinking, high-level understanding of LLM capabilities, and collaboration with cross-functional teams to drive the successful implementation and adoption of GenAI solutions across Corning s businesses. You will define the product s roadmap, oversee its management, and ensure alignment with business priorities and objectives. In this role, you will also work cross functionally to scale and grow AI functions that support future business growth. Responsibilities: Application software design patterns and software architecture Front-end development with a variety of web frameworks using both reactive and responsive design techniques as appropriate Back-end development with multiple development stacks using authentication, network and storage APIs, serialization and deserialization, server-side application development using object oriented and functional programming techniques as needed and programmatic SQL for data access Elicit requirements from our business partners to build applications and translate into a solution. Design & develop, test, deploy and monitor custom applications using a variety of application frameworks and systems like vuejs, flask, and huggingface Work with the patterns and platforms team to confirm design and leverage existing patterns and/or contribute to patterns catalog Participate in architecture and software development activities Translate loosely defined requirements into solutions Debug production issues across services, at all component levels Use our toolchain service offering for your day-to-day activities and work to continually improve it Education & Experience: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degree preferred. Certification in AWS cloud infrastructure preferred. Minimum 5+ years experience with 3+ years proven experience as a fullstack developer or similar role in a digital technology organization. Required Skills: Strong technical collaboration and communication skills as well as theability to drive cultural change and adoption of best practices through community participation Ability to collaborate with other teams across the company, defining technology roadmaps, sharing experiences and lessons learned for continual improvement Excellent problem-solving and troubleshooting skills Process-oriented with great documentation skills Ability to document code. Experience with agile methodologies. Proficiency with agile software development tools including Gitlab, Jira, CI/CD and technical documentation tools Development experience in python. Agile framework (scrum) Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and technologies. Desired Skills: Databricks Hands on experience with Hugging Face Experience building a GenAI application .net, C#, java, node.js A strong sense for the importance of documentation, and the importance of not having to learn things twice Ability to work in an agile product team environment and balance a diverse set of stakeholder requests

Job Location: Baner, Pune Position Summary: The D&IT AI Platform & Products team is seeking an experienced and hands-on Product Owner to lead the development and ownership of our internal Generative AI capabilities. The successful candidate will work closely with businesses to understand their Gen AI needs, identify high-value opportunities, and deliver impactful AI solutions. This role requires strategic thinking, high-level understanding of LLM capabilities, and collaboration with cross-functional teams to drive the successful implementation and adoption of GenAI solutions across Corning s businesses. You will define the product s roadmap, oversee its management, and ensure alignment with business priorities and objectives. In this role, you will also work cross functionally to scale and grow AI functions that support future business growth. Responsibilities: Application software design patterns and software architecture Front-end development with a variety of web frameworks using both reactive and responsive design techniques as appropriate Back-end development with multiple development stacks using authentication, network and storage APIs, serialization and deserialization, server-side application development using object oriented and functional programming techniques as needed and programmatic SQL for data access Elicit requirements from our business partners to build applications and translate into a solution. Design & develop, test, deploy and monitor custom applications using a variety of application frameworks and systems like vuejs, flask, and huggingface Work with the patterns and platforms team to confirm design and leverage existing patterns and/or contribute to patterns catalog Participate in architecture and software development activities Translate loosely defined requirements into solutions Debug production issues across services, at all component levels Use our toolchain service offering for your day-to-day activities and work to continually improve it Education & Experience: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degree preferred. Certification in AWS cloud infrastructure preferred. Minimum 5+ years experience with 3+ years proven experience as a fullstack developer or similar role in a digital technology organization. Required Skills: Strong technical collaboration and communication skills as well as theability to drive cultural change and adoption of best practices through community participation Ability to collaborate with other teams across the company, defining technology roadmaps, sharing experiences and lessons learned for continual improvement Excellent problem-solving and troubleshooting skills Process-oriented with great documentation skills Ability to document code. Experience with agile methodologies. Proficiency with agile software development tools including Gitlab, Jira, CI/CD and technical documentation tools Development experience in python. Agile framework (scrum) Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and technologies. Desired Skills: Databricks Hands on experience with Hugging Face Experience building a GenAI application .net, C#, java, node.js A strong sense for the importance of documentation, and the importance of not having to learn things twice Ability to work in an agile product team environment and balance a diverse set of stakeholder requests

We are seeking an experienced AI Data Analyst with over 7 years of professional experience, showcasing leadership in tech projects. The ideal candidate will possess a strong proficiency in Python, Machine Learning, AI APIs, and Large Language Models (LLMs). You will have the opportunity to work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Your experience should include: - At least 2 years of hands-on experience as a Data Analyst. - Practical experience of at least 1 year with AI systems such as LLMs, AI APIs, or vector-based search. - 2+ years of experience working with Machine Learning models and solutions. - Strong background of 5+ years in Python programming. - Exposure to vector databases like pgvector and ChromaDB is considered a plus. Key Responsibilities: - Conduct data exploration, profiling, and cleaning on large datasets. - Design, implement, and evaluate machine learning and AI models to address business problems. - Utilize LLM APIs, foundation models, and vector databases to support AI-driven analysis. - Construct end-to-end ML workflows starting from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to implement AI solutions across business processes. Required Skills: Data Analysis: - Work with real-world datasets hands-on for at least 1 year. - Proficiency in Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. Machine Learning & AI: - Apply machine learning techniques for at least 2 years (classification, regression, clustering, etc.). - Hands-on experience with AI technologies such as Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Knowledge of model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. Programming: - Proficiency in Python programming for at least 3 years, with expertise in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. Tools & Technologies: - Proficiency in SQL/PostgreSQL. - Familiarity with vector databases like pgvector, ChromaDB. - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with cloud platforms such as AWS, SageMaker, or similar. - Knowledge of version control systems (e.g., Git), REST APIs, and Linux. Good to Have: - Experience with tools like Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. Soft Skills: - Possess a strong problem-solving mindset and analytical thinking. - Excellent communication skills, able to convey technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment. If you meet the above requirements and are eager to contribute to a dynamic team, share your resume with kajal.uklekar@arrkgroup.com. We look forward to welcoming you to our team in Mahape, Navi Mumbai for a hybrid work arrangement. Immediate joiners are preferred.,

As a Python Developer specializing in Generative AI, you will play a key role in designing, developing, and deploying intelligent AI-powered systems during the night shift in Bangalore. Your primary responsibility will involve building and maintaining Python-based APIs and backends integrated with cutting-edge Generative AI models. You will collaborate with global teams to implement prompt engineering, fine-tuning, and model deployment pipelines using tools such as GPT, Claude, LLaMA, DALLE, and Stable Diffusion. Your expertise in PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API will be crucial in optimizing model performance for latency, accuracy, and scalability. Additionally, you will deploy models using FastAPI, Flask, Docker, or cloud platforms while ensuring thorough testing, monitoring, and documentation of AI integrations. To excel in this role, you should possess at least 4 years of Python development experience along with 1 year of hands-on experience with Generative AI tools and models. Familiarity with vector databases such as FAISS, Pinecone, and Weaviate is also desirable. Exposure to GPU-based training or inference, MLOps tools like MLflow, Airflow, or Kubeflow, and a strong understanding of AI ethics, model safety, and bias mitigation are considered advantageous. This full-time, permanent position offers health insurance, Provident Fund benefits, and requires working in person during the night shift. If you are passionate about leveraging AI to address real-world challenges and thrive in a fast-paced environment, we encourage you to apply and contribute to innovative GenAI and ML projects.,

We are looking for a highly skilled and motivated Senior Data Scientist with 35 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 35 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsofts ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment. Show more Show less

As a Senior AI Engineer with React Native expertise, you will be responsible for developing and integrating AI features using various LLMs such as Norah AI, OpenAI GPT, Google Gemini, and Claude. Your tasks will include creating AI-driven onboarding processes, recommendations, virtual assistants, and news digests. Additionally, you will implement instant voice translation through the Google Translate API, personalized notifications based on user preferences and location, and optimize AI models for mobile platforms like TensorFlow Lite and Core ML to ensure low latency, offline support, and battery efficiency. In the realm of React Native front-end development, you will be tasked with building responsive, cross-platform UI/UX features such as onboarding flows, event booking systems, concierge chat interfaces, and navigation components. You will integrate real-time functionalities like WebSockets, Firebase push notifications, and third-party APIs such as Almosafer, BlackLane, Uber, BLE beacons, and Marcom. Ensuring accessibility, security measures like OAuth and JWT, and cultural alignment for example, understanding Saudi etiquette will also be crucial aspects of your responsibilities. Your role will involve feature implementation across various areas including onboarding and personalization, booking and planning, concierge services and AI assistant functionalities, navigation and real-time capabilities, engagement and security features, as well as admin support for analytics, event monitoring, and emergency alerts. You will be required to test AI accuracy, bias, and mobile performance, optimizing for offline usage, real-time updates, and accessibility. Collaboration with cross-functional teams to align with MoT protocols and documenting AI pipelines and React Native code will be essential parts of your job. To qualify for this position, you should have at least 5 years of experience in AI engineering, with a minimum of 3 years of experience integrating AI into React Native mobile apps for iOS and Android platforms. You should possess expertise in AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as well as familiarity with LLMs such as OpenAI and Google Gemini. Proficiency in React Native, JavaScript/TypeScript, Redux, and UI libraries like React Native Elements is required. Strong skills in API integrations, voice APIs like Google Translate, real-time systems, and secure authentication methods are also necessary. Knowledge of mobile AI optimization techniques and navigation technologies is a plus. A Bachelor's or Master's degree in Computer Science, AI/ML, or a related field is preferred for this role. In addition to technical skills, you should have strong problem-solving abilities, collaboration skills, and effective communication with both technical and non-technical stakeholders. This is a full-time position located in person. When applying, please specify your notice period and total experience of 4 years.,

As a Senior AI Developer/ AI Architect in the AI team, you will have the opportunity to collaborate with and mentor a team of developers. Your primary focus will be on the Fusion AI Team and its AI engine AI Talos, where you will work with Large language models, simulations, and Agentic AI to deliver cutting-edge AI capabilities in the service management space. Your responsibilities will include developing intricate python-based AI code to ensure the successful delivery of advanced AI functionalities. Additionally, you will play a crucial role in team mentoring, guiding junior/mid-level developers in managing their workload efficiently and ensuring tasks are completed according to the product roadmap. Innovation will be a key aspect of your role, where you will lead the team in staying updated on the latest AI trends, especially focusing on large language models and simulations. Furthermore, you will be responsible for software delivery to customers while adhering to standard security practices. To qualify for this role, you should possess a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Being Agile trained and practiced is also essential for this position. The ideal candidate will have at least 7 years of experience in developing AI/Data Science solutions, with a senior level of involvement. Proficiency in Python and its libraries such as Pydantic, Pytorch, Pyarrow, Scikit, Hugging Face, and Pandas is required. Extensive knowledge of AI models and usage, including Llama2, Mistral AI, training models for classification, and RAG architecture, is necessary. Experience as a full-stack developer and familiarity with tools like GitHub, Jira, Docker, as well as GPU-based services architecture and setup, are advantageous. In terms of competencies, strong interpersonal and communication skills are essential. You will collaborate with teams across the business to create end-to-end high-value use cases and effectively communicate with senior management regarding requirement deadlines. Your excellent collaboration and leadership skills will ensure that the team remains motivated and is working efficiently towards set targets. If you are ready to take on this challenging role and contribute to the advancement of AI technologies, we encourage you to apply now at Future@fusiongbs.com.,

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable insights, automate processes, and facilitate strategic decision-making across various business units. You will work closely with a team to create the end-to-end lifecycle of AI initiatives, starting from problem identification and data engineering to model development, validation, deployment, and monitoring. Collaboration with cross-functional teams, including product, engineering, and business stakeholders, will be essential to identify impactful AI opportunities and deliver innovative solutions. In this role, you will be expected to explore cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to address complex challenges and drive value creation. Conducting risk modeling, scenario analysis, and evaluating business impacts will be crucial to ensure that AI solutions are robust, ethical, and aligned with organizational objectives. Additionally, you will contribute to the development of best practices, toolkits, and scalable AI pipelines while staying abreast of emerging trends and research in AI and machine learning to assess their potential application within the organization. To be successful in this role, you should possess 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments. Proficiency in Python and common ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, etc., is essential. A solid understanding of data architecture, model deployment (MLOps), and experience with cloud platforms like AWS, Azure, and GCP is required. Demonstrated expertise in generative AI technologies, statistical analysis, feature engineering, and advanced machine learning techniques is highly valued. We are seeking individuals with excellent problem-solving skills, analytical thinking, and business acumen. Strong written and verbal communication abilities are essential, as you will be expected to influence and collaborate with senior stakeholders. A Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred. If you are passionate about AI and machine learning and are looking for a challenging yet rewarding opportunity, we encourage you to apply now. We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that fosters your growth and recognizes your accomplishments.,

The position available is for the role of Data Scientist on a permanent, full-time basis. The ideal candidate should possess at least 7 years of experience in the field. The job location can be in Noida, Gurgaon, Pune, or Bangalore, with the standard working week being 5 days. The work mode for this role is Hybrid. The mandatory skills required for this position include expertise in Transformer Models, with experience in either finetuning or training on Open-Source Transformer-based models. The candidate should have completed projects involving LLM, NLP, LLAMA, Hugging face, and RAG. Proficiency in Python coding is a must, along with experience in Gen AI projects. Additionally, the candidate should have knowledge of either Machine Learning or Deep Learning. Experience with Conversational AI/Chatbot is considered a plus for this role.,