218 Huggingface Jobs

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

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Were Hiring: Generative AI Instructor We are looking for a Generative AI Course Instructor to teach students the latest skills in Python, Machine Learning, and Generative AI. What youll do: Teach Python, Machine Learning, and Generative AI concepts. Conduct coding sessions, projects, and assessments. Guide students in using tools like LangChain, HuggingFace, Streamlit, and GPT models . Support and mentor students in applying concepts to real-world problems. What we need: Strong knowledge of Python (Pandas, Matplotlib, Seaborn) and data structures. Understanding of ML basics (Neural Networks, CNNs, Gradient Descent). Familiarity with Generative AI concepts (GANs, Prompt Engineering, Text/Image/Audio generation). Good communication and teaching skills. Qualification: Bachelors/Masters in CS, Data Science, or related fields . Prior teaching or training experience is preferred. ???? If youre passionate about teaching and want to shape the future of AI, wed love to connect with you! Show more Show less

Job Description Role Summary We are seeking a Generative AI/ML Engineer to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing. You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems. Key Responsibilities Design, develop, and fine-tune LLM-powered applications for enterprise use cases. Experience in evaluating LLM applications and developing observability frameworks Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies. Build agentic AI workflows with multi-step reasoning, tool calling, and integration with APIs. Integrate GenAI solutions into multi-cloud or hybrid cloud environments (AWS, Azure, GCP). Develop and optimize edge AI deployments for low-latency use cases. Create data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines for AI ingestion, preprocessing, and governance. Implement AI safety, bias mitigation, and compliance measures. Work closely with LLMOps teams to enable continuous integration & deployment of AI models. Write well-documented, production-ready code in Python, Node.js, Rust . Benchmark and evaluate model performance , latency, and cost-efficiency. Required Skills Proficient in cloud AI services (e.g. AWS Bedrock/SageMaker, Azure AI Foundry, Google Vertex AI, Anthropic, OpenAI APIs). Strong proficiency with Python and LLM frameworks (e.g. PromptFlow, LangGraph, LlamaIndex, HuggingFace, PyTorch, TensorFlow). Hands-on experience with vector DBs (e.g. Pinecone, Weaviate, Milvus, FAISS, Azure Cognitive Search). Experience building RAG-based and agentic AI solutions. Familiarity with Edge AI frameworks (e.g. NVIDIA Jetson, AWS IoT Greengrass, Azure Percept). Multi-modal AI (text, image, speech, video) experience. Strong grasp of APIs, microservices, and event-driven architectures . Knowledge of AI governance (data privacy, model explainability, security). Experience in containerized deployments (Docker, Kubernetes, serverless AI functions). Preferred Skills Generative agents with memory and planning capabilities . Real-time AI streaming with WebSockets or Kafka. Prior contributions to open-source GenAI projects . Experience in build, test and deploy various ML models Experience in building MCP, A2A protocol Show more Show less

AI Intern (AI Agent Developer Intern) AI Intern Cutting-Edge AI Platform ???? Location: Bangalore (Hybrid) ???? Eligibility: Fresh graduates with prior AI project or internship experience MetAntz, a GenAI recruitment marketplace is hiring AI interns for one of its customers , a funded startup working in the area of AI observability. It would be a very exciting opportunity to work with cutting edge technologies with awesome mentors and a path to a full time role. The details of the role and company are shared below. About the Company A rapidly growing AI platform company working with global enterprises across healthcare, aerospace, financial services, and retail. The team is building next-gen tools to ensure reliable, secure, and high-performance AI adoption at scale. Job Description As an AI Intern (AI Agent Developer Intern), you`ll work at the cutting edge of AI automation and agent orchestration. This isn`t a research roleyou`ll be building production-grade AI agents that solve real-world problems across domains like operations, education, sales, and personal productivity. You`ll work closely with our leadership team to prototype, iterate, and ship fast, owning your work from start to finish. Key Responsibilities Design and develop AI Agents using LangChain, CrewAI, LangGraph, AutoGen (A2A), ADK and similar other platforms Build and orchestrate agent workflows using tools like n8n, Airflow, or LangGraph DAGs Integrate APIs, databases, vector stores (e.g., Pinecone, Chroma, Weaviate), and tools like OpenAI, Claude, Mistral, HuggingFace, etc. Write clean, modular, and testable code in Python (TypeScript is a plus) Rapidly prototype agentic workflows, test edge-cases, and iterate based on feedback Collaborate with design and product teams to shape user-centric workflows Ship minimal, usable versions and continuously improve them based on usage analytics Maintain documentation and contribute to internal knowledge bases Requirements Strong hands-on coding skills, especially in Python Previous experience building with LangChain, LangGraph, CrewAI, or similar frameworks Familiar with agent orchestration, tool chaining, multi-agent systems Quick learner, adaptable to new frameworks and libraries Strong problem-solving skills and autonomyable to take vague ideas to shipped features Comfortable working in a fast-paced, iterative startup environment Basic understanding of prompt engineering, LLM APIs, and memory management Exposure to n8n, Supabase, Firebase, PostgreSQL, Redis, or similar stacks Familiarity with version control (Git), basic CI,CD, and cloud platforms (Vercel, AWS, etc.) Bonus Skills (Nice to Have) Experience with frontend frameworks (Next.js, React) for building simple UIs Familiarity with RAG pipelines, embeddings, and document loaders Experience with Browser-based agents (e.g., Puppeteer, Selenium, or BrowserEnv) Familiarity with voice agents (e.g., Whisper, ElevenLabs) or mobile-first AI apps Interest or experience in shipping internal tools or SaaS prototypes What You`ll Get Direct mentorship from Team leads Opportunity to build and ship real, user-facing agentic applications Access to premium AI tools and credits (OpenAI, Claude, etc.) Exposure to early-stage startup building and ownership opportunities A fast-paced learning curve in the most exciting domain of 2025 AI Agents It is a paid internship. Show more Show less

Were Hiring: Lead AI Engineer Experience:5+ Years Experience Location: Kolkata Company: Decorpot Key Skills & Expertise: * AI Frameworks:TensorFlow, PyTorch, TensorFlow\.js, Hugging Face * 3D Integration:Three.js, Babylon.js, WebGL * Cloud Platforms:AWS (SageMaker, S3), Google Cloud AI, Azure ML * Version Control:Git (GitHub/GitLab) * Collaboration Tools:JIRA, Slack, Trello (Agile workflows) * Testing:Postman (API), Selenium (Web apps) Apply Now: perambhargav.reddy@decorpot.com

Build Gen AI applications using LLMs (OpenAI, LLaMA,Falcon) Develop (RAG) pipelines with vector databases such as ChromaDB, Pinecone, LanceDB. Implement & optimize prompt engineering, embeddings, & semantic search Fine-tune and adapt pre-trained LLMs Required Candidate profile Strong programming skills in Python LangChain, Transformers (Hugging Face, BERT, GPT models) Vector databases (Chroma, Pinecone, LanceDB, Weaviate, FAISS) Deep Learning, Neural Networks, NLP technique

We are looking for a passionate and enthusiastic Full Stack Developer (Fresher) who has a good understanding of React.js and Node.js. This role is ideal for someone who is eager to start their career in web development, learn new technologies.

We are hiring an AI/ML Engineer (6-month contract) to develop, deploy, and optimize ML/DL models. Work with TensorFlow, PyTorch, Hugging Face, and cloud platforms. Apply MLOps, explore LLMs & generative AI, and drive innovation.

Experience: 4+ years Job Description: We are looking for a Data Scientist with strong expertise in building and deploying Machine Learning and Deep Learning models, along with hands-on experience in Large Language Models (LLMs) and Natural Language Processing (NLP). The ideal candidate should have a proven track record of solving business problems using traditional ML and DL techniques, with emerging skills in generative AI and LLMs. Key Responsibilities: Design, develop, and optimize ML/DL models for structured and unstructured data. (Must have) Apply NLP techniques for text classification, information extraction, and semantic understanding. Fine-tune and evaluate LLMs for domain-specific use cases. Collaborate with cross-functional teams to translate business requirements into data-driven solutions. Conduct model evaluation, performance monitoring, and explainability analysis. Required Skills: Strong proficiency in Python, ML libraries (scikit-learn, XGBoost, etc.), and DL frameworks (PyTorch/TensorFlow). Hands-on experience in feature engineering, model selection, and deployment. 1+ year experience with LLMs (e.g., GPT, BERT family, HuggingFace). Good understanding of NLP techniques such as embeddings, transformers, and text analytics. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

Role & responsibilities Our client is looking for highly skilled candidates in Generative AI & Python with strong cloud and AI expertise. Skill Requirements We are targeting candidates with expertise in the following areas: Generative AI (GenAI) Python Experience with any Cloud platform (AWS, Azure) LLM architecture, prompt engineering, and multi-modal AI knowledge Experience with frameworks like PyTorch, TensorFlow, and Hugging Face Interview Mode-Face to face on Saturday(23-Aug-25)

Role & responsibilities Our client is looking for highly skilled candidates in Generative AI & Python with strong cloud and AI expertise. Skill Requirements We are targeting candidates with expertise in the following areas: Generative AI (GenAI) Python Experience with any Cloud platform (AWS, Azure) LLM architecture, prompt engineering, and multi-modal AI knowledge Experience with frameworks like PyTorch, TensorFlow, and Hugging Face Interview Mode-Face to Face on Saturday(23-Aug-25) Chennai

Designation: Lead AI Engineer Company: Decorpot Location: Kolkata Experience Required: 5+ Years About Us: Decorpot is one of Indias leading interior design companies, known for bringing creativity, innovation, and cutting-edge technology into home interiors. As we expand into tech-driven solutions, we are looking for a passionate and experienced Lead AI Engineer to spearhead our AI initiatives, blending Artificial Intelligence with 3D visualization and digital experiences. Role Overview: As a Lead – AI Engineer , you will play a pivotal role in designing, developing, and deploying AI-powered solutions that enhance customer experience, streamline operations, and integrate advanced 3D visualization into our platforms. You will work closely with cross-functional teams, lead a small AI engineering squad, and drive innovation in the intersection of AI, 3D rendering, and cloud technologies. Key Responsibilities: Lead the design, development, and deployment of AI models and frameworks for real-world applications in the interior design domain. Work on 3D integrations using Three.js, Babylon.js, and WebGL for creating immersive visualization experiences. Develop, fine-tune, and deploy NLP, Computer Vision, and Recommendation Systems using TensorFlow, PyTorch, TensorFlow.js, and Hugging Face . Architect and manage scalable solutions on AWS SageMaker, S3, Google Cloud AI, or Azure ML . Ensure seamless integration of AI solutions with frontend and backend systems. Manage version control and CI/CD pipelines using GitHub/GitLab . Collaborate with product managers, designers, and developers using Agile workflows (JIRA, Trello, Slack) . Conduct API and web app testing using Postman and Selenium to ensure reliability and accuracy. Mentor and guide junior engineers, fostering a strong AI-first culture within the organization. Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or a related field. 5+ years of professional experience in AI/ML engineering with leadership exposure. Strong hands-on experience with AI frameworks : TensorFlow, PyTorch, TensorFlow.js, Hugging Face. Proficiency in 3D technologies : Three.js, Babylon.js, WebGL. Expertise in cloud-based AI platforms : AWS, GCP, or Azure ML. Familiarity with Agile collaboration tools : JIRA, Trello, Slack. Solid understanding of API testing (Postman) and web app testing (Selenium) . Strong coding skills in Python, JavaScript, or related programming languages. Ability to lead a team, handle multiple projects, and deliver high-quality AI-driven solutions. What We Offer: Opportunity to lead AI innovations in the interior design and home dcor industry. Exposure to cutting-edge AI and 3D visualization technologies. Collaborative and dynamic work environment. Competitive compensation and growth opportunities.

AI Engineer (Onsite - Ahmedabad) Summary: We are looking for an experienced AI Engineer with 4 to 8 years of expertise in AI, machine learning, and LLM development . The ideal candidate will have hands-on experience in building, deploying, and optimizing AI models, along with strong problem-solving and collaboration skills. Key Responsibilities: Design, develop, and optimize AI/ML algorithms and models for real-world applications Integrate AI solutions into existing systems with cross-functional teams Research and apply the latest AI advancements Mentor junior engineers and participate in code reviews Ensure scalable, production-grade AI deployments Requirments: Strong programming skills (Python, Java, or C++) Proficiency with LangChain, LangGraph, vector DBs (Pinecone, ChromaDB, FAISS) Hands-on experience with Hugging Face, transformers, fine-tuning & deploying LLMs (LLaMA, Mistral, Falcon, OpenAI, etc.) Expertise in prompt engineering, RAG, and model serving (FastAPI, Hugging Face Inference Endpoints, AWS SageMaker) Experience with TensorFlow, PyTorch, or scikit-learn Knowledge of cloud platforms (AWS/Azure) Strong communication, teamwork, and problem-solving skills

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

What’s the role all about? We are seeking a highly experienced Senior Specialist Architect with deep expertise in enterprise application architecture , AI/ML integration , and AWS cloud services . In this role, you will take complete ownership of designing scalable, secure, and high-performing applications , embedding AI capabilities, and guiding junior architects to deliver innovative, future-ready solutions. You will serve as the technical thought leader for AWS-based architecture and AI-enabled design , ensuring alignment with business objectives, compliance standards, and emerging technology trends. How will you make an impact? Own and drive end-to-end architecture for AI-powered enterprise applications hosted on AWS. Design scalable, secure, and maintainable systems using AWS services such as EC2, Lambda, S3, RDS, DynamoDB, API Gateway, SageMaker, Bedrock, Step Functions, and CloudFormation . Integrate AI/ML models (LLMs, NLP, predictive analytics) using AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, Lex). Conduct architectural reviews to ensure AWS best practices, Well-Architected Framework compliance, and cost optimization. AI & Cloud Solution Expertise Architect and implement AI-driven features within cloud-native applications. Establish MLOps pipelines for model training, deployment, and monitoring on AWS. Ensure AI solutions are explainable, ethical, and compliant with enterprise and regulatory guidelines. Mentorship & Collaboration Coach and mentor junior architects in AWS services, AI integration patterns, and architectural design principles. Lead cross-functional design sessions and knowledge-sharing workshops. Provide technical guidance for resolving complex AWS and AI-related design challenges. Strategic Planning Partner with stakeholders to define technology roadmaps combining AI innovations and AWS capabilities. Conduct POCs to validate AI models, AWS services, and architectural patterns. Drive cloud migration strategies and modernization initiatives. Have you got what it takes? Experience: 13–15 years in software/application architecture, with at least 3–5 years in AI/ML and AWS cloud design. Strong expertise in AWS cloud services , architecture patterns, and Well-Architected Framework principles. Proficiency in AI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain) and AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition, Lex). Hands-on experience with microservices, serverless computing, event-driven architecture, and API design . Skilled in MLOps, data engineering, and model deployment pipelines . Excellent mentoring skills with the ability to develop the capabilities of junior architects. Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field. Key Attributes Visionary leader with the ability to blend AI innovation, AWS capabilities, and enterprise needs . Strong ownership mindset with accountability for solution success. Excellent communicator, capable of influencing technical and business stakeholders. Advocate for AWS best practices, AI ethics, and cost-efficient cloud adoption . What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 8379 Reporting into: Director, Engineering, CX Role Type: Individual Contributor

About the Role: We are looking for a hands-on Technical Leader who can drive both modernization of enterprise applications and lead AI/ML initiatives for global clients. This role combines strong coding skills (Angular + Spring Boot), delivery ownership, and solutioning with AI/ML for business transformation. Key Responsibilities: Application Modernization: Lead migration of legacy applications into cloud-ready, scalable, and API-driven platforms. Stay hands-on with Angular (latest) and Spring Boot (Java) to design and deliver enterprise-grade solutions. Ensure technical excellence with code reviews, best practices, and secure design principles. AI/ML Solutioning & Delivery: Partner with customers to identify AI/ML use cases and translate them into implementable solutions. Drive PoCs, pilots, and integrations of ML/GenAI into existing business systems. Collaborate with data engineers and AI specialists to design pipelines, training workflows, and deployment strategies. Ensure governance, model monitoring, and explain ability in AI solutions for enterprise adoption. Delivery & Project Management: Act as Scrum Master lead sprint planning, stand-ups, retrospectives, and stakeholder reviews. Translate business requirements into actionable user stories and track delivery through Jira/Confluence. Manage risks, dependencies, and ensure on-time, high-quality project delivery. Serve as the single point of contact for client stakeholders. Team Leadership: Mentor and upskill developers in modern web stacks and AI/ML practices. Promote DevOps and CI/CD best practices. Build a culture of innovation and accountability. Requirements: 6-15 years of experience in software development & delivery. Strong hands-on experience in Angular (latest) and Spring Boot (Java). Proven experience in application modernization projects. Exposure to AI/ML solution delivery (implementation, integration, or prototyping). Solid understanding of Agile/Scrum with real-world project leadership. Strong communication, problem-solving, and client management skills. Nice to Have: Domain knowledge in logistics, shipping, or marine industry. Certifications: CSM, PMI-ACP, or equivalent Agile/PM credentials. Cloud experience with AWS, Azure, or GCP (esp. for AI workloads). Knowledge of MLOps practices (model lifecycle, monitoring, drift detection). Familiarity with Generative AI frameworks (Hugging Face, LangChain, OpenAI APIs). Perks & Benefits: Opportunity to lead high-impact modernization and AI/ML projects with global clients. Visibility into next-gen AI adoption in enterprise environments. Collaborative and innovation-driven team culture. Career growth across both technical leadership and delivery management tracks.

Responsibilities Design and deploy ML models (CV, NLP, OCR) with end-to-end pipelines; prototype with TensorFlow/PyTorch; leverage GenAI for LLMs; collaborate across teams, mentor juniors, and integrate latest AI/ML research into products. Health insurance Provident fund

Role: Senior AI/ML Engineer Function: Machine Learning / AI Engineering Industry: Fintech, SaaS, Artificial Intelligence About Company The client is an early-stage, venture-backed fintech using AI to simplify cash-flow analytics for high-volume B2C businesses. Its platform pairs natural-language queries with machine learning to deliver real-time insights and friction-free reconciliation. You join a small, fast-moving team that prizes ownership, experimentation, and transparent collaboration. The mission is clear: give operators instant, accurate financial visibility so they can scale with confidence. Position Overview You lead the end-to-end AI charter that powers financial automation, intelligent reconciliation, and anomaly detection. You shape the GenAI roadmap, productionize cutting-edge ML systems, and build a world-class teamall while delivering reliable, compliant, and low-latency solutions for transactional finance. Role & Responsibilities Define the AI and GenAI vision for reconciliation, document understanding, financial classification, and payment behavior intelligence. Translate product problems into scalable ML systems and GenAI workflows. Research, experiment, and productionize LLM-based pipelines tailored to enterprise financial operations. Deploy and maintain ML and LLM pipelines in production, including observability, retries, retraining, and versioning. Implement feedback loops that continuously learn from user actions and corrections. Optimize performance and latency of GenAI systems in high-throughput transactional environments. Ensure data privacy, regulatory compliance, and explainability of AI outputs in financial contexts. Lead, hire, mentor, and grow a team of ML and GenAI engineers. Collaborate with product managers, backend engineers, and data engineers to ship AI-powered features. Evangelize responsible AI practices and an experimentation culture across the organization. Must have Criteria 5+ years in AI/ML with at least 12 years hands-on with LLMs and GenAI. Deep knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning. Proven track record building and deploying GenAI applications using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex. Strong coding skills in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and MLOps tools such as MLflow or Airflow. Hands-on experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and crafting prompts for deterministic outputs. Expertise with OCR/NLP tools for semi-structured document extraction and parsing. Ability to work with unstructured, noisy financial data at scale. End-to-end ownership of ML systems from research through deployment and monitoring. Nice to Have Familiarity with open-source LLMs like Mistral, Claude, LLaMA, or Zephyr. Experience with chunking strategies, prompt templates, and hybrid search in RAG systems. Background in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, or accounting. Knowledge of graph-based ML or probabilistic models for complex transaction flows. Past experience building AI systems in an early-stage startup or as a founding team member. Fintech domain expertise. What We Offer Foundational role where you define how AI evolves at the company. High impact on real-world financial decisions requiring accuracy and auditability. Ownership of deep ML and cutting-edge GenAI problems. Product-first, collaborative culture that values high agency and technical depth. Show more Show less

About the Role We are seeking a versatile Full Stack Developer to become a part of our dynamic EdTech team at eduCOBOT. Your main responsibility will be to develop, expand, and maintain an AI-powered, hardware-integrated learning platform that focuses on robotics, IoT, and STEM education, similar to Innov8r.ai. This role is a unique blend of frontend development, backend engineering, AI integration, and microcontroller (Arduino/ESP32) interfacing. Key Responsibilities - Building responsive UIs utilizing React.js or Next.js - Developing and overseeing backend APIs using Node.js + Express - Integrating AI tools such as OpenAI, LangChain to facilitate agentic learning experiences - Connecting web interface with hardware components (Arduino/ESP32) for interactive robotics modules - Managing databases (SQL/NoSQL), search functionality, and user progress tracking - Implementing OAuth, dashboards, and gamified learning paths - Handling CI/CD pipelines and cloud deployments (e.g., Vercel, AWS, Firebase) Tech Stack You Should Know Frontend: React.js / Next.js / Tailwind Backend: Node.js / Express (or Django/Flask if Python-based) Database: PostgreSQL, MongoDB (or Firebase Firestore) Microcontroller: Arduino IDE, ESP32 (using MicroPython/C++) AI Integration: OpenAI, LangChain, HuggingFace DevOps: GitHub, Vercel/Firebase, Docker (nice to have) Preferred Skills & Traits - Experience in constructing dynamic web platforms or learning management systems - Familiarity with agentic AI concepts like prompt engineering, vector stores, LLM flows - Strong problem-solving and debugging abilities - Previous experience with robotics, sensors, IoT, or educational products is advantageous - Willingness to thrive in a fast-paced, impact-focused startup environment Ready to apply Send your CV and any work samples (GitHub, website, etc.) to: admin@educobot.com and complete the form https://forms.office.com/r/p6bwuJBLwf Why Join eduCOBOT - Become a part of India's leading AI-driven STEM learning platform - Contribute towards building tools utilized by thousands of students and educators - Engage in live AI + Robotics integrations that drive real-world learning - Benefit from a flat team structure, high ownership, and mission-driven growth,

You should have 6-8 years of experience in the Creator Economy, AI Video Tools domain. You will be responsible for developing, testing, and deploying LLM-driven agents to automate content strategy, scriptwriting, and moderation. Additionally, you will implement Agentic workflows using frameworks like LangChain, LangGraph, or CrewAI. Your role will involve designing real-time script analyzers to flag and intercept deepfake/misuse risks, integrating voice cloning, avatar generation APIs, and safety intercept logic, and building structured conversation memory, action plans, and tool calling agents for video planning. Collaboration with the backend team to expose agent actions via API will also be part of your duties. To excel in this role, you should possess strong Python skills with experience in AI orchestration frameworks and be hands-on with OpenAI, Anthropic, LLama, or Mistral APIs. Experience with vector DBs such as FAISS or Weaviate for content memory is required. A deep understanding of prompt engineering, function calling, RAG, or agent autonomy is essential. You should also have awareness of deepfake, safety, or fairness risks in generative AI. It would be advantageous to have experience with HuggingFace, LangGraph, or Guardrails AI.,

About Us Observe.AI is transforming customer service with AI agents that speak, think, and act like your best human agentshelping enterprises automate routine customer calls and workflows, support agents in real time, and uncover powerful insights from every interaction. With Observe.AI, businesses boost automation, deliver faster, more consistent 24/7 service and build stronger customer loyalty. Trusted by brands like Accolade, Prudential, Concentrix, Cox Automotive, and Included Health, Observe.AI is redefining how businesses connect with customersdriving better experiences and lasting relationships at every touchpoint. The Opportunity If you are a talented and driven person with experience in the domain of Natural Language Processing/ Spoken Language Understanding and want to join a high-impact team at the core of Observe.AI&aposs mission, then this role is for you! This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powered products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems. If you are excited about building and owning cutting-edge ML-powered product capabilities, and working on both algorithms as well as platforms, youll love the job! About The ML Team We are a strong 30+ member Machine Learning team with a focus on Speech and NLP. Our mission is to deliver the best of AI capabilities to revolutionize the world of Contact Centers through Observe.AIs product offerings. We push the boundaries of Spoken Language Understanding to develop ML capabilities that power innovative product features for our customers, and our ML platform processes millions of contact center interactions per day. That said, we are a bunch of super fun folks to hang out with beyond work as well. What Youll Be Doing Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AIs product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies. Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What You Bring To The Role Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP. 5+ years of industry experience in building large-scale NLP systems. Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications. Good understanding of recent trends in NLP around transformers, language models, textclassification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP conferences or workshops are a plus Relevant open-source contributions are a plus. Compensation, Benefits And Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you&aposre ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai . Show more Show less

As a skilled developer, you will be responsible for various aspects of web development, including designing, developing, and maintaining scalable RESTful APIs using frameworks such as Django, Flask, or FastAPI. You will also be involved in building and deploying modern web applications that prioritize performance, modularity, and security. Furthermore, your role will entail implementing API authentication and authorization mechanisms, such as OAuth2 JWT or session-based approaches, to ensure secure access. Collaboration with frontend teams is crucial as you will work closely with them to integrate APIs seamlessly and guarantee smooth end-to-end flows within the applications. Following continuous integration/continuous deployment (CI/CD) practices and utilizing Git-based deployment workflows with tools like GitHub, GitLab, Jenkins, or Docker will be part of your routine tasks. In addition to web development, you will be engaged in GenAI application development, focusing on building intelligent applications using tools like LangGraph and LangChain for orchestrating Large Language Model (LLM) workflows. Integration of various LLMs, including OpenAI, Anthropic, HuggingFace, or custom models, into production workflows will be a key responsibility. Your expertise will also be required in designing and optimizing Retrieval Augmented Generation (RAG) pipelines using vector databases like Pinecone, PGVector, etc. Furthermore, your role will involve database and backend integration tasks, where you will work with relational databases such as PostgreSQL and MySQL. Writing efficient and scalable queries for large-scale datasets will be essential, and any experience with cloud platforms like AWS, GCP, or Azure would be beneficial. To excel in this position, you are expected to have a minimum of 3 years of experience in application development using Python/Django, along with proficiency in developing and consuming RESTful APIs. Familiarity with tools like LangGraph, LangChain, and GenAI workflows, as well as experience with various LLMs such as OpenAI GPT-4, Claude, Llama, etc., will be advantageous. A solid understanding of software design principles, code modularity, and version control using Git is also required. If you are passionate about cutting-edge technologies and enjoy working in a collaborative environment, this opportunity with Finoit, as posted by Neetu Misri, could be the perfect fit for you.,