459 Rag Jobs - Page 3

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Wipro Limited is a prominent technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation requirements of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, Wipro assists clients in achieving their ambitious goals and establishing sustainable businesses. With a global presence of over 230,000 employees and business partners spanning across 65 countries, Wipro is committed to supporting customers, colleagues, and communities in thriving amidst an ever-changing world. For more information, please visit www.wipro.com. As an AI/ML Engineer at Wipro's innovation arm, Lab45, located in Bangalore, you will be at the forefront of developing cutting-edge products, platforms, and solutions. Lab45 aims to leverage cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies such as Blockchain, AR/VR, and Software Defined Vehicles to empower clients and customers in adapting to the digital landscape and achieving greater success. The collaborative environment at Lab45 fosters creativity and accelerates the ideation process throughout Wipro. In this role, you will play a key part in designing, developing, and maintaining robust backend systems that integrate advanced AI and ML capabilities. Your responsibilities will include implementing and optimizing LangChain for efficient language model chaining, managing data using vector databases to enhance model performance, developing solutions based on large language models, Retrieval-Augmented Generation, and Graph RAG, and collaborating with cross-functional teams to drive innovation in AI-driven solutions. As a part of our dynamic team, you will be expected to stay updated on industry trends in AI and ML technologies and contribute to continuous improvement in our solutions through clean coding practices and effective documentation. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience as a Software Engineer focusing on backend development. Proficiency in Python programming, familiarity with relevant frameworks and libraries in AI and ML, expertise in LangChain, vector databases, MongoDB, and Pinecone, as well as a deep understanding of LLMs, RAG, Graph RAG, and other Generative AI concepts are essential. Additionally, strong skills in software design, data structures, algorithms, version control systems like Git, CI/CD pipelines, analytical thinking, problem-solving abilities, and excellent communication skills are required. Preferred skills include experience with cloud platforms such as AWS, Google Cloud, Azure, and knowledge of scalable architecture, containerization, and orchestration technologies like Docker and Kubernetes. Join Wipro's reinvention journey and be a part of an organization that encourages constant evolution, growth, and empowerment. We are looking for individuals inspired by reinvention, who are ready to design their own career path and contribute to building a modern Wipro. Come to Wipro and realize your ambitions in an inclusive environment where diversity and innovation thrive. Applications from individuals with disabilities are especially encouraged.,

As a GenAI Model Developer, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data in order to make predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Collaboration with software engineers to integrate Generative AI models into production systems will be a key aspect of your role. You should be able to evaluate application cases and the problem-solving potential of AI/ML algorithms, ranking them according to their likelihood of success. This will involve comprehending data through exploration and visualization, as well as identifying discrepancies in data distribution. Working with both structured and unstructured data, you will develop various algorithms based on statistical modeling procedures and build scalable machine learning solutions for production. Leveraging cloud platforms for training and deploying large-scale solutions, with a preference for AWS, will also be part of your responsibilities. You should have a working knowledge of managing the ModelOps framework and understand CI/CD processes for product deployment. Collaborating with data engineers to build data and model pipelines, ensuring accuracy, will be essential. You are expected to take complete ownership of assigned projects and have experience working in Agile environments. Proficiency in tools such as JIRA or equivalent project tracking tools is required to succeed in this role.,

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. In this role, you will play a key role in seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. You will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. Leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives. Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources. Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication. Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance. We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

The Lead Engineer/Architect position is a remote opportunity requiring 6-10 years of experience. You will be responsible for utilizing your expertise in .NET on Azure, Power Platform (Power Automate / CoPilot Studio), and Generative AI (GenAI) with LLM integration and Retrieval-Augmented Generation (RAG) patterns. Your role will involve contributing to a forward-thinking project focused on creating intelligent solutions for analyzing permitting proposals. This initiative demands a comprehensive grasp of the Microsoft technology stack, AI/ML patterns, and the ability to design scalable, secure systems. Key skills for this position include proficiency in .NET Core / C# full-stack development, a strong understanding of Azure PaaS offerings (such as Functions, API Management, Blob, Cosmos DB), experience with Power Platform's Power Automate and CoPilot Studio, and hands-on experience with Azure OpenAI / GPT-based LLMs and RAG patterns. Additionally, familiarity with enterprise-grade data architecture and governance frameworks, excellent communication skills, system documentation capabilities, problem-solving skills, and cross-functional collaboration abilities are essential. If you possess these skills and are looking to join a dynamic team working on cutting-edge solutions, this role could be a perfect fit for you.,

Design and deploy AI-powered automation workflows. Build ML/NLP models, create scalable APIs, integrate with CRMs/ERPs, and lead end-to-end AI solution delivery in production.

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Position: Gen AI Engineer Location: Noida/ Hyderabad Job Overview: As a Generative AI Engineer in our engineering team, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Key Responsibilities: Design, train, fine-tune, and evaluate generative AI models (LLMs, diffusion models, transformers, etc.) Implement prompt engineering and retrieval-augmented generation (RAG) pipelines Develop APIs and services for integrating generative AI into products Build and maintain scalable machine learning pipelines (e.g., data preprocessing, model training, inference serving) Conduct experiments, benchmark models, and contribute to model selection Collaborate cross-functionally with product, design, and infrastructure teams Monitor and optimize model performance, latency, and safety in production Stay current with state-of-the-art research in generative AI and foundation models Qualifications & Skills: Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field 5+ years of experience working with deep learning frameworks (e.g., PyTorch, TensorFlow) Strong understanding of transformer architectures, attention mechanisms, and generative models Experience with LLM s like GPT, LLaMA, Claude, Mistral, or similar Proficiency in Python and ML tooling (e.g., Hugging Face, LangChain, Weights & Biases) Familiarity with cloud environments (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) If interested plz contact 9513487487 jobs@intellisearchonline.net

We are seeking a highly skilled AI Engineer with expertise in Multimodal Retrieval-Augmented Generation (RAG), Vector databases, and Large Language Model (LLM) implementation. AI/ML engineering, with a focus on multimodal systems and LLMs.

Experience : 4+ ,6+,9 + Yrs Skills : Python , Rag, Vector DB, AI/ML ,Langchain/Langgraph , LLM, AWS , Java , Fullstack , Sql , Nosql Face -Face interview - Pune Balewadi

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Primary Skills Python, AI, ML (Machine Learning) Gen AI Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 5 to 16 Years Location - Pune If anyone is interested please share your updated resume on my email id - Devyani.Pillai2@ltimindtree.com

Business Analyst Lead Experience: 7-10 years Location: Gurgaon / Noida GenAI Strategy & Innovation Bridge Generative AI capabilities with business value to drive adoption of LLMs, RAG systems, and AI agents. Identify impactful use cases (chatbots, synthetic data, automation) and conduct build-vs-buy assessments (e.g., GPT-4 vs. fine-tuned Llama 3). Technical Proficiency Skilled in LangChain, LlamaIndex, Azure OpenAI Studio, GCP Vertex AI, Hugging Face. Hands-on with RAG architectures, LoRA fine-tuning, vector databases. Competent in SQL/Python for data validation and synthetic data tools (Gretel, Mostly AI). Business Analysis & Workflows Lead user story mapping for multi-agent setups (AutoGen, CrewAI). BPMN modeling for AI-human collaboration. Engineer GenAI-specific requirements: accuracy , ethical safeguards, latency SLAs. Stakeholder Alignment Translate AI capabilities into measurable outcomes Manage expectations around AI's probabilistic behavior (e.g., fact-checking workflows). Governance & Measurement Define GenAI KPIs: token cost, trust scores, automation rates. Monitor model drift and trigger retraining. Build audit frameworks ensuring compliance (EU AI Act, industry norms).

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. We are looking for an experienced AI Developer with proficiency in Python, Generative AI (GenAI) incorporating Retrieval-Augmented Generation (RAG), Robotic Process Automation (RPA), and advanced document intelligence utilizing OCR and LLMs. In this role, you will be responsible for developing AI-driven solutions that extract valuable insights from intricate documents, whether digital or scanned, by utilizing tools such as Tesseract, Hugging Face Transformers, or similar technologies. Your primary focus will be on creating end-to-end automation and AI integration for intelligent document processing, enhancing decision-making capabilities and optimizing workflow efficiencies throughout the organization. Key Responsibilities: - Develop and implement GenAI solutions with RAG pipelines to facilitate intelligent querying and summarization of document repositories. - Extract and organize data from complex documents (e.g., PDFs, Images) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models (DiNO, SmolVLM, etc.). - Incorporate OCR+LLM pipelines into business applications for processing scanned forms, contracts, and other unstructured documents. - Automate repetitive, document-centric tasks using RPA tools (e.g., Blue Prism, etc.). - Design and manage Python-based workflows to coordinate document ingestion, extraction, and LLM-powered processing. - Collaborate across various teams including product, data, and operations to deliver scalable, AI-enhanced document automation solutions. - Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: - Minimum of 4 years of hands-on programming experience with Python. - Demonstrated expertise in building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. - Proficiency in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. - Experience working with LLMs for document understanding, summarization, and Q&A. - Proficient in RPA development utilizing platforms like Blueprism, etc. - Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. - Strong understanding of REST APIs, JSON, and data integration workflows. Please note that unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.,

Senior Prompt Engineer: Design, optimize, and test AI prompts for accuracy and efficiency. Collaborate with cross-functional teams to improve model outputs. Expertise in NLP and LLMs required.

Role & responsibilities GenAI/LLM Skills AI& Machine learning algorithms, Python, R or other languages used in AI, Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts, AI/ML frameworks like TensorFlow, PyTorch

Job Title: AI/ML Engineer – Contractual Role (5 Years Exp) Location: Bangalore Salary: Up to 25 LPA Duration: 1 years AI/ML Engineer with 5 years of experience for a contractual role based in Bangalore. Required Candidate profile Key Skills: Azure, GCP, Python, Generative AI, LLMs, RAG, Machine Learning, PyTorch/TensorFlow. Apply now to be part of a dynamic and innovative AI team.

Role & responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

Role & Responsibilities: Should be able to code in Python and work with simple to complex SQL Work as independent contributor in building AI solutions using latest tech stack. Should be able to research, learn and implement latest models in AI and GenAI Identify, analyse, and interpret trends or patterns in complex datasets. Collaborate with team, to prioritize business and information needs. Serve as a consultant for clients nationwide. Identify and define process improvement opportunities. Excellent problem-solving ability and verbal communication. Experience Atleast 3 years of relevant experience in Building AI solutions. Proficiency in programming languages such as Python, FastAPI, SQL or PySpark(good to have) Experience in developing conversational AI or virtual assistant applications. Proven experience in building and deploying applications using LLMs like OpenAI GPT-4o, Claude, Llama, Grok, Gemini or similar Hands-on experience in building GenAI Applications. Good to have working experience in building Agentic AI applications. Familiarity with acquiring and managing huge and complex data from various sources, including structured and unstructured data sources. Extensive experience with Cloud platforms, particularly Microsoft Azure. Knowledge of natural language processing (NLP) and information retrieval Have knowledge and hands-on experience with LangChain Framework, Azure OpenAI, Azure AI Search Service, Indexing, and Embedding techniques Good to have Application development experience using AI models and API integrations. Hands-on experience in AI, ML and Deep Learning algorithms like Regression, Decision Trees, Neural networks Experience in working with Azure Cosmos DB, Azure Blobs, Azure Functions, and App Service

Immediate Hiring for GenAI Developer Contract/Subcorn/C2H Skill - GenAI developer EXP Range - 7 - 10 yrs Location - BGL/HYD/MUM Skills Required Experience in LLM APIs, Prompt engineering and fine tuning, RAG Pipelines, Python, Pyspark, SQL (Primary) Experience in one major cloud provider Snowflake, Databricks, Informatica

We are looking for a GenAI/ML Engineer to design, develop, and deploy cutting-edge AI/ML models and Generative AI applications . This role involves working on large-scale enterprise use cases, implementing Large Language Models (LLMs) , building Agentic AI systems , and developing data ingestion pipelines . The ideal candidate should have hands-on experience with AI/ML development , Generative AI applications , and a strong foundation in deep learning , NLP , and MLOps practices. Key Responsibilities Design, develop , and deploy AI/ML models and Generative AI applications for various enterprise use cases. Implement and integrate Large Language Models (LLMs) using frameworks such as LangChain , LlamaIndex , and RAG pipelines . Develop Agentic AI systems capable of multi-step reasoning and autonomous decision-making . Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval techniques. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deploy AI solutions and enhance the AI stack. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training , serving , and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development , including Generative AI applications . Expertise in RAG , LLMs , and Agentic AI implementations. Strong experience with LangChain , LlamaIndex , or similar LLM orchestration frameworks. Proficiency in Python and key ML/DL libraries : TensorFlow , PyTorch , Scikit-learn . Solid foundation in Deep Learning , Natural Language Processing (NLP) , and Transformer-based architectures . Experience in building data ingestion , indexing , and retrieval pipelines for real-world enterprise use cases. Hands-on experience with Azure cloud services and Databricks . Proven track record in designing CI/CD pipelines and using MLOps tools like MLflow , DVC , or Kubeflow . Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate effectively in agile , cross-functional teams . A growth mindset , eager to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases such as FAISS , Pinecone , or Weaviate . Experience with AutoGPT , CrewAI , or similar agent frameworks . Exposure to Azure OpenAI , Cognitive Search , or Databricks ML tools . Understanding of AI security , responsible AI , and model governance . Role Dimensions Design and implement innovative GenAI applications to address complex business problems. Work on large-scale, complex AI solutions in collaboration with cross-functional teams. Take ownership of the end-to-end AI pipeline , from model development to deployment and monitoring. Success Measures (KPIs) Successful deployment of AI and Generative AI applications . Optimization of data pipelines and model performance at scale. Contribution to the successful adoption of AI-driven solutions within enterprise use cases. Effective collaboration with cross-functional teams, ensuring smooth deployment of AI workflows. Competency Alignment AI/ML Development : Expertise in building and deploying scalable and efficient AI models. Generative AI : Strong hands-on experience in Generative AI , LLMs , and RAG frameworks. MLOps : Proficiency in designing and maintaining CI/CD pipelines and implementing MLOps practices . Cloud Platforms : Experience with Azure and Databricks for AI model training and serving.

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills. Role & responsibilities : As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. Conduct code reviews and refactoring wherever possible

As a Tech Content Creator for our AI & Beyond Series, youll be responsible for crafting engaging, insightful, and high-retention content around trending deep-tech topics. From Agentic RAG and LLM agents to infrastructure tools like FireCrawl, LangChain, and Vector DBs — you’ll simplify the complex and tell stories that spark curiosity, clarity, and action. In addition to long-form technical walkthroughs and implementation-based scripts, you’ll also contribute to high-retention, short-form content (like explainer reels and visual-first breakdowns) that simplify dense ideas for a broader tech audience. You will work closely with internal teams, SMEs, and speakers to script long-form and short-form content that breaks down modern AI tools, protocols, and architectures — often within 60 to 90-second reels or tight narrative videos that reach tens of thousands of learners, developers, and tech enthusiasts every week. Skills Required: Strong grasp of AI/ML, GenAI, and LLM-related tools including RAG, LangChain, Gradio, Vector DBs, FireCrawl, LlamaIndex, etc. Ability to simplify dense technical systems into explainers that are both educational and visually engaging. Proven storytelling ability especially across hook-core-wrap frameworks or problem-solution-demo formats. Experience writing or structuring content for Long-form & short-form tech videos or narrative-rich explainers. Basic knowledge of how backend systems or API-based integrations work especially around LLMs, databases, and deployment workflows. Strong communication, scripting, and documentation skills ability to write content that flows well both on video and in writing. Comfortable working in fast-paced, collaborative environments with designers, editors, and speakers. Ensure content aligns with Beginner Friendly preferences (concise, visual, relatable). Key Responsibilities: Lead the creation of hands-on tutorials and implementation scripts on real-world topics like Agentic RAG, LLM orchestration, and protocol-powered AI agents. Research, script, and structure short-form explainer videos and concept-driven reels on topics like LLM agents, RAG, orchestration frameworks, protocol standards, and other cutting-edge tech. Collaborate with speakers and pods to translate deep technical systems into clean, structured tutorial formats . Break down complex protocols (like MCP, A2A, Agentic RAG) into hook-first, visual-first content that aligns with content marketing and education goals. Contribute to storyboarding, pacing, and on-video scripting for high-retention output knowing exactly when to educate, when to entertain, and when to simplify. Collaborate with video editors, animators, and designers to ensure technical ideas are well-represented visually and are understandable even without audio. Maintain a rapid weekly content cadence often ideating, refining, and shipping 2–4 pieces of content/week with high clarity and creativity. Adapt content from longer masterclasses or product demos into snackable, social-first formats for platforms like YouTube, LinkedIn, and Instagram Reels. Regularly audit and improve content based on viewer feedback, retention analytics, and SEO signals. Stay on top of developments in the GenAI, LLM, and infra ecosystem bringing fresh ideas and rapid-turnaround content around news, releases, or open-source projects. Nice-to-Have: 1+ year experience in a content creation, devrel, or ed-tech role. Familiarity with ed-tech content standards (e.g., scaffolding, pacing). Why Join? Shape a flagship series with massive reach among students. Work in a dynamic, creative environment with top tech talent. Opportunity to mentor junior creators as the series scales. Location: NxtWave Office Spaces, Hyderabad Job Type: Full-Time Working Days: 5 days a week