7 Rag Techniques Jobs

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

As a Digital Product Engineering company, Nagarro is currently seeking a professional with over 5 years of experience in the field to join our team. The ideal candidate should possess a deep understanding of Generative AI fundamentals and transformer-based architectures along with a strong experience in Cloud Architecture for deploying scalable AI systems using platforms such as AWS, Azure, or GCP. The successful candidate will have hands-on experience working with Generative AI models, particularly in Azure AI, and should be familiar with BERT, GPT, LLaMA, and similar LLMs. Proficiency in prompt engineering, RAG techniques, and fine-tuning and deploying models using frameworks like Hugging Face Transformers or LangChain is also required. Additionally, experience with multi-agent AI systems, collaborative model workflows, Python, machine learning libraries (e.g., PyTorch, TensorFlow), and integrating models into enterprise platforms and APIs is essential. Responsibilities for this role include understanding clients" business use cases and technical requirements, translating them into technical designs, mapping decisions with requirements, identifying and narrowing down solutions that best meet client requirements, defining guidelines and benchmarks for NFR considerations, writing and reviewing design documents, reviewing architecture and design for various aspects, developing and designing solutions for defined requirements, and resolving issues raised during code reviews through systematic analysis. Qualifications for this position include a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. If you are passionate about AI, NLP, and Knowledge Engineering and possess the required skills and experience, we invite you to join our dynamic and non-hierarchical work culture at Nagarro.,

As a Manager of Engineering (AI/ML) at our company, you will lead a team of ML engineers, data scientists, and software engineers to develop cutting-edge AI/ML solutions that drive business operations and innovation. Your role will involve a combination of technical leadership, strategic thinking, and operational skills to ensure the successful development and implementation of AI/ML models and systems. You will be responsible for leading end-to-end design, development, and deployment of scalable AI/ML solutions, ensuring high performance, reliability, and maintainability. Additionally, you will coach the team on AI/ML projects, resolve technical challenges, and establish robust MLOps practices for model development, deployment, monitoring, and retraining. Leveraging Gen AI techstack, including Langchain, LLM, and RAG, you will build solutions that address business challenges and incorporate advanced technologies into the company's applications. To excel in this role, you should have 10+ years of overall experience, including 5+ years of leading engineering teams. A Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field is required, with proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML. You must possess a deep understanding of AI/ML algorithms, frameworks, and technologies, along with experience in building and deploying AI/ML models at scale. Furthermore, a strong knowledge of software engineering best practices, including agile development methodologies, code review processes, and CI/CD pipelines, is essential. Familiarity with Generative AI, RAG techniques, NLP concepts, and programming languages such as Python is also required. Experience in a distributed, large-scale, and fast-growing environment is preferred. If you have experience in LangChain, it would be considered a bonus. Please note that visa sponsorship is not available for this position. We are committed to fostering a diverse, welcoming, and inclusive environment where all individuals are encouraged to bring their authentic selves to work. Our recruitment process ensures fair consideration of all applicants, including those with arrest and conviction records, in compliance with applicable laws. At our company, we believe in empowering our employees to achieve success through a flexible workforce model, offering options for fully office-based, fully remote, or hybrid work environments. We value the unique backgrounds and abilities of our team members, recognizing the diverse experiences that contribute to our collective success. If you require any accommodations during the application process, please contact resume@newrelic.com. To learn more about our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

Role & responsibilities We are seeking an enthusiastic and highly skilled Senior AI ML Developer to join our team and work on exciting AI initiatives. The ideal candidate should have worked in CRM Domain like Zoho CRM/ Fresh works and have expert knowledge in AI/ML models, LLMS, Vector database and RAG techniques to automate workflows, create conversational analytics assistants and create similarity models by clustering/ embeddings. 1. Develop CRM Agentic AI Design and implement AI agents using frameworks like Lang Chain, AutoGPT, or ReAct. Automate CRM processes by enabling agents to handle emails, generate follow-ups, update pipelines, and classify tickets. Integrate models for sentiment analysis, intent recognition, entity extraction, and summarization. Connect agents to external APIs, calendars, and CRM tools (e.g., Salesforce, HubSpot). Manage agent memory and context via vector databases like FAISS or Pinecone. 2. Conversational KPI Dashboard Assistant Build a chatbot interface that allows users to query CRM KPIs via natural language. Use Python, LangChain, and OpenAI APIs to parse queries and trigger backend data retrieval tools. Render results in both dashboard format (e.g., Recharts/Chart.js) and tabular views. Support queries like "Whats the total expected revenue this quarter?" or "Show me the lead-to-win ratio by region." 3. Similarity and Recommendation Engines Extract features from existing AI/ML libraries. Build and manage an embedding database for semantic similarity search. Implement clustering algorithms (e.g., K-Means) to group songs based on genre. Develop a scoring system to compare new tracks to a database of existing songs. Required Experience and Qualifications: 4+ years of experience in AI/ML Model development. Should have expert knowledge in CRM Domain including workflows, Forms, Dashboards/reports and data import/export as done. Proficient in Python, with strong experience in TensorFlow, PyTorch, and Scikit-learn . Working knowledge of LangChain, AutoGPT and LLM integration. Expertise in developing Agents for CRM, Dashboards in Leading organisation. Expertise in implementing Agentic AI solutions using LLM models, RAG and Vector database. Proven experience in vector similarity, embedding models and clustering techniques. Passionate about AI innovation and solving real-world challenges with automation and intelligence Proven experience in designing platform architecture and managing API integrations. Strong background in microservices architecture and REST API design. Demonstrated experience with scalability and performance optimization for cloud-based platforms. Experience with Agile methodologies and leading cross-functional teams in a fast-paced environment. Excellent communication and presentation skills for delivering product demos and gathering customer feedback. Proven ability to manage a product roadmap and deliver on tight deadlines . Experience with data security , compliance, and industry best practices. A bachelors degree in computer science, engineering, or a related field.

Hiring: Automation Development Engineer (Python Automation + AI) Location: Bangalore (Work from Office) Experience: 5+ Years Job Description: We are hiring for an Automation Development role involving Python-based workflow automation, analytics dashboard creation, approval flows, and notification systems. The role also includes working on AI APIs, RAG techniques, and AI Agentic Architectures . Key Skills: Python Automation Development AI API Integration, RAG Techniques, AI Agentic Architecture System Design Expertise Protobuf, Blaze, PLX, Spanner, JavaScript, APIs Source Control Management (Git preferred) Google Cloud Platform (GCP) knowledge preferred Profile Requirements: Bachelors or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering 5+ years of hands-on experience in Software Development / Automation Proficient in Python automation, workflow development, and system design Exposure to AI-driven architectures and related technologies Familiarity with distributed systems and database tools like Spanner Strong problem-solving and debugging skills

We are the perfect match if you have: 1-3 years of experience in Product Management, preferably in a SaaS-based environment. Strong problem-solving skills and structured thinking ability. Demonstrated business acumen understands the why behind features, prioritizes for business impact, and can break down user problems to drive user-centric solutions. Experience shipping SaaS platforms that delivered measurable business outcomes and improved user efficiency. Experience performing customer research to deeply understand user needs and translate insights into actionable opportunities. Excellent analytical and visualization skills ability to distill complex business requirements into clear and actionable product features. Working knowledge of LLMs and modern RAG (Retrieval-Augmented Generation) techniques. Basic prompting skills using leading models like Claude, GPT, or similar. Practical experience in writing detailed PRDs, defining user stories, and setting clear acceptance criteria for technical team. Strong written and verbal communication skills ability to collaborate seamlessly with engineering, design, marketing, and leadership teams. Self-motivated and proactive, with a strong sense of ownership and accountability in a fast-paced environment. Experience working with Jira or similar product management tools for sprint planning and backlog management. It s an added plus if you also have: Hands-on ownership or contribution to AI-based features/modules, such as document intelligence, knowledge management systems, AI-driven workflow automation, smart search and retrieval systems, or risk and compliance automation using AI. Exposure to privacy, security, or compliance-focused products. Comfort working with design tools like Figma and create quick prototypes using any modern AI tools