458 Rag Jobs

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

You are an experienced Python & AI Engineer with a minimum of 3 years of relevant experience in the same tech stack. As a part of our growing CRM product team, you will be responsible for developing AI-powered features using Python and various ML/NLP tools. Your role will involve building intelligent modules such as recommendation engines, lead scoring systems, document extraction tools, chatbot assistants, and predictive insights directly into our CRM platform. Your key responsibilities will include designing, building, and deploying AI/ML models and NLP systems to address real-world CRM challenges. Additionally, you will be developing Python-based microservices for smart automation and CRM intelligence, implementing AI modules for chatbot integration, document analysis, lead prediction, and integrating LLMs and RAG systems for contextual search and automation workflows. You will also work on handling structured and unstructured data from MongoDB/PostgreSQL for model training, optimizing models for accuracy, performance, and scalability, and collaborating with product and engineering teams for seamless feature delivery. To be successful in this role, you must possess at least 3 years of experience in Python, Machine Learning, and AI development, along with proficiency in ML/NLP libraries like scikit-learn, spaCy, Transformers, and LangChain. Working knowledge of LLMs, OpenAI APIs, RAG, chatbot architecture, experience in building REST APIs using FastAPI or Flask, strong database management skills using MongoDB and PostgreSQL, and familiarity with version control (Git), Docker containers, and API integration are essential. Nice-to-have skills include exposure to vector databases (e.g., Pinecone, Weaviate, FAISS), experience with MLOps tools like MLflow, Airflow, or Seldon, working on SaaS-based CRM or multi-tenant applications, and background in domains such as EdTech, ImmigrationTech, or SalesTech. Ideally, you should hold a Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or a related field. Immediate joiners will be given priority for this full-time on-site position located in Mohali, Punjab. If you are passionate about leveraging Python and AI technologies to drive innovation in CRM intelligence systems, we encourage you to apply for this role.,

About Us Thoucentric provides end-to-end consulting solutions to tackle diverse business challenges across industries. With a focus on leveraging deep domain expertise, cutting-edge technology, and a results-driven approach, we assist organizations in optimizing operations, improving decision-making, and fostering growth. Headquartered in Bangalore, we have a global presence in India, US, UK, Singapore, and Australia. Our services span Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning, and Execution, encompassing areas such as Analytics & Emerging Tech in functional domains like Supply Chain, Finance & HR, Sales & Distribution. We pride ourselves on executing solutions rather than just offering advice, collaborating with leading names in the CPG industry, tech sector, and start-up ecosystem. Recognized as a "Great Place to Work" by AIM and ranked among the "50 Best Firms for Data Scientists to Work For", we boast a seasoned consulting team of over 500 professionals across six global locations. Job Description About the Role We are in search of a BI Architect to support the BI Lead of a global CPG organization by designing an intelligent and scalable Business Intelligence ecosystem. The role involves crafting an enterprise-wide KPI dashboard suite enhanced by a GenAI-powered natural language interface for insightful exploration. Responsibilities - Architect BI Stack: Develop and supervise a scalable and efficient BI platform serving as the central source for critical business metrics across functions. - Advise BI Lead: Collaborate as a technical advisor to the BI Lead, ensuring alignment of architecture decisions with long-term strategies and business priorities. - Design GenAI Layer: Create a GenAI-driven natural language interface for BI dashboards to enable conversational querying of KPIs, trends, and anomalies by business users. - RAG/Graph Approach: Implement suitable architectures like RAG with vector stores or Knowledge Graphs to deliver intelligent, context-rich insights. - External Data Integration: Establish mechanisms for organizing and integrating data from external sources (e.g., competitor websites, industry reports) to enhance internal insights. - Security & Governance: Maintain adherence to enterprise data governance, security, and compliance standards across all layers (BI + GenAI). - Cross-functional Collaboration: Engage closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization of the BI ecosystem. Requirements Qualifications - 9 years of BI architecture and analytics platform experience, with at least 2 years focused on GenAI, RAG, or LLM-based solutions. - Profound expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. - Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). - Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is advantageous. - Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. - Experience in web scraping and structuring external/third-party datasets. - Previous exposure to CPG domain or large-scale KPI dashboarding is preferred. Benefits Joining Thoucentric as a Consultant offers: - Opportunity to shape your career path independently. - Engaging consulting environment working with Fortune 500 companies and startups. - Supportive and dynamic workplace fostering personal growth. - Inclusive culture with opportunities for bonding beyond work. - Participation in Thoucentric's growth journey. Skills Required: BI architecture, Analytics, Data Visualization Practice Name: Data Visualization Date Opened: 07/15/2025 Work Mode: Hybrid Job Type: Full time Industry: Consulting Corporate Office: Thoucentric, The Hive, Mahadevapura, Bengaluru, Karnataka, India, 560048,

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

POS-P322 Were seeking a Senior Software Engineer to join a high-impact, new initiative within the Breeze Assistant team at HubSpot. Breeze Assistant is a fully conversational AI chief of staff designed specifically for Go-to-Market (GTM) teams. By integrating frontier AI capabilities with rich data from HubSpot and third-party applications, Breeze provides an AI assistant that fundamentally transforms team collaboration and productivity. As a Senior Engineer On The Breeze Assistant Team, Youll Do Many Thingsand You Likely Already Have Experience Doing Some Of Them In The Past. We Are Looking For People Who Have a proven track record of delivering high-value projects, including collaborating across multiple teams when needed. Senior Engineers at HubSpot are experienced individual contributors who help drive our product vision forward by collaborating closely with team members and contributing hands-on code. Bring solid backend engineering experience. A strong understanding of technologies like Java, Node.js, MySQL, Kafka, and cloud-native architectures is beneficial. We are looking for candidates who are well-versed in engineering principles and excited to solve challenging problems, rather than deep specialists in any single technology. Have direct experience building new user-facing products from the ground up, ideally including product integrations and complex, data-driven applications. Familiarity or hands-on experience with Generative AI technologies (LLMs, Agents, RAG, etc.) is a strong plus. A demonstrated interest in working on AI-driven products is highly desirable. Demonstrate strong problem-solving and pragmatic engineering skills, balancing immediate needs with longer-term technical architecture. Thrive in dynamic, fast-paced environments and are comfortable adapting to evolving requirements. Understand secure, compliant application development best practices, particularly for data privacy, governance, and API integrations. Make significant contributions to technical decisions and help solve challenges related to context, user interfaces, real-time features, data governance, and application performance. Support and help mentor team members in your area of expertise when opportunities arise Help build and scale the engineering culture at HubSpot India. Join us in creating the AI assistant that defines the future of work for GTM teams. We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please dont hesitate to apply wed love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether youre a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, youll also attend other in-person events such as your Product Group Summit and other gatherings to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot&aposs Career Diversity page here. India Applicants: link to HubSpot India&aposs equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot&aposs connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. Were building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore More HubSpot Careers Life at HubSpot on Instagram By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot&aposs Recruiting Privacy Notice for details on data processing and your rights. Show more Show less

Engineering Office - Bengaluru, India POS-P320 Were seeking a Senior Software Engineer to join a high-impact, new initiative within the Breeze Assistant team at HubSpot. Breeze Assistant is a fully conversational AI chief of staff designed specifically for Go-to-Market (GTM) teams. By integrating frontier AI capabilities with rich data from HubSpot and third-party applications, Breeze provides an AI assistant that fundamentally transforms team collaboration and productivity. As a Senior Engineer On The Breeze Assistant Team, Youll Do Many Thingsand You Likely Already Have Experience Doing Some Of Them In The Past. We Are Looking For People Who Have a proven track record of delivering high-value projects, including collaborating across multiple teams when needed. Senior Engineers at HubSpot are experienced individual contributors who help drive our product vision forward by collaborating closely with team members and contributing hands-on code. You have strong frontend development experience. We work with Typescript, JavaScript and React primarily, but experience with specific technologies is secondary to strong programming fundamentals. We are looking for candidates who are well-versed in engineering principles and excited to solve challenging problems, rather than deep specialists in any single technology. Have direct experience building new user-facing products from the ground up, ideally including product integrations and complex, data-driven applications. Familiarity or hands-on experience with Generative AI technologies (LLMs, Agents, RAG, etc.) is a strong plus. A demonstrated interest in working on AI-driven products is highly desirable. Demonstrate strong problem-solving and pragmatic engineering skills, balancing immediate needs with longer-term technical architecture. Thrive in dynamic, fast-paced environments and are comfortable adapting to evolving requirements. Understand secure, compliant application development best practices, particularly for data privacy, governance, and API integrations. Make significant contributions to technical decisions and help solve challenges related to context, user interfaces, real-time features, data governance, and application performance. Support and help mentor team members in your area of expertise when opportunities arise Help build and scale the engineering culture at HubSpot India. Preferred Qualifications Prior experience developing desktop applications with frameworks like Electron, SwiftUI, or AppKit. Familiarity with HubSpot or other CRM platforms and integrations. Demonstrable interest or previous work in developing collaborative and conversational user experiences. Join us in creating the AI assistant that defines the future of work for GTM teams. We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please dont hesitate to apply wed love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether youre a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, youll also attend other in-person events such as your Product Group Summit and other gatherings to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot&aposs Career Diversity page here. India Applicants: link to HubSpot India&aposs equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot&aposs connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. Were building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore More HubSpot Careers Life at HubSpot on Instagram By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot&aposs Recruiting Privacy Notice for details on data processing and your rights. Show more Show less

Qualcomm India Private Limited is seeking an experienced Software Engineer to join the QCT PM Tools team. In this role, you will be responsible for analyzing data from multiple sources, transforming the data, and creating reporting solutions to provide valuable insights for driving business decisions. Your main responsibilities will include developing, creating, and managing reporting using tools like PowerBI and Tableau, as well as building data pipelines and intelligent analytics. You will also be tasked with collecting data from various Qualcomm systems, providing actionable insights, and troubleshooting any data issues reported by users of the reporting solutions. It is essential to understand user requirements and build scalable, high-performance reporting solutions. Minimum Qualifications for this position include a Bachelor's degree in computer science engineering or a related field, along with at least 3 years of experience in Data Modelling and Data Visualization using BI tools such as Tableau, Power BI, or QlikView. You should also have experience in applying ML/AI models for prediction, classification, search, and NLP, as well as a minimum of 1 year of experience in software development with programming languages like C#, Java, or Python. Preferred Qualifications include experience in building NLP-enabled solutions using LLMs and existing data sources with RAG, Langchain, and at least 2 years of software development experience with programming languages like C#, Java, or Python. Additionally, the ability to work independently and collaboratively in a diverse, fast-paced environment is desirable, along with knowledge of database, operating system, and algorithm design. Experience working on cloud platforms like AWS or Azure is also preferred. Qualcomm values diversity and is an equal opportunity employer. If you require accommodations during the application or hiring process due to a disability, Qualcomm is committed to providing accessible support. For more information about this role, please contact Qualcomm Careers directly.,

As a Senior Data Scientist (Gen AI Developer) with 5 to 7+ years of experience, you will be based in Hyderabad and employed full-time in a hybrid work mode, spending 4 days in the office and 1 day working from home. Your primary responsibility will be to tackle a Conversational AI challenge for our client by utilizing your expertise in Speech-to-Text and Text Generation technologies. Your role will involve developing and fine-tuning Automatic Speech Recognition (ASR) models, implementing language models for industry-specific terminology, and incorporating speaker diarization to distinguish multiple voices in a conversation. Additionally, you will build conversation summarization models, apply Named Entity Recognition (NER), and use Large Language Models (LLMs) for deep conversation analysis and smart recommendations. You will also design Retrieval-Augmented Generation (RAG) pipelines leveraging external knowledge sources for enhanced performance. Furthermore, you will be tasked with creating sentiment and intent classification systems, developing predictive models for next-best-action suggestions based on historical call data and engagement, and deploying AI models on cloud platforms like AWS, Azure, or GCP. Optimizing inference and establishing MLOps pipelines for continual learning and performance enhancement will also be part of your responsibilities. To excel in this role, you must possess proven expertise in ASR, NLP, and Conversational AI systems, along with experience in tools such as Whisper, DeepSpeech, Kaldi, AWS Transcribe, and Google STT. Proficiency in programming languages like Python, PyTorch, TensorFlow, and familiarity with RAG, LangChain, and LLM fine-tuning is essential. Hands-on experience with vector databases and deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask will be beneficial. Apart from technical skills, you should have strong business acumen to translate AI insights into impact, be a fast-paced problem-solver with innovative thinking abilities, and possess excellent collaboration and communication skills for effective teamwork across functions. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP projects, knowledge of multimodal AI, prompt engineering, and exposure to Reinforcement Learning (RLHF) techniques for conversational models. Join us to work on impactful real-world projects in Conversational AI and Gen AI, collaborate with innovative teams and industry experts, leverage cutting-edge tools and cloud platforms, and enjoy a hybrid work environment that promotes flexibility and balance. Your ideas will be valued in our forward-thinking, AI-first culture. To apply for this exciting opportunity, please share your updated resume at resumes@empglobal.ae or apply directly through the platform. Kindly note that while we appreciate all applications, only shortlisted candidates will be contacted. Thank you for your understanding!,

Offshore based developer with following skills: Experiences with LLM, pref Llama. RAG; fine tuning; agent to agent communication & Integration. Good to have small models like Phi Good Communication

Job description: We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office Date - 2nd August 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree - Hyderabad Office. Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Generic JD- More than 5 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intreasted candidates please share CV On kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

You will be joining Ziance Technologies as an experienced Data Engineer (Gen AI) where your primary role will involve leveraging your expertise in Python and the Azure Tech Stack. Your responsibilities will include designing and implementing advanced data solutions, with a special focus on Generative AI concepts. With 5 - 8 years of experience under your belt, you must possess a strong proficiency in Python programming language. Additionally, you should have hands-on experience with REST APIs, Fast APIs, Graph APIs, and SQL Alchemy. Your expertise in Azure Services such as DataLake, Azure SQL, Function App, and Azure Cognitive Search will be crucial for this role. A good understanding of concepts like Chunking, Embeddings, vectorization, indexing, Prompting, Hallucinations, and RAG will be beneficial. Experience in DevOps, including creating pull PRs and maintaining code repositories, is a must-have skill. Your strong communication skills and ability to collaborate effectively with team members will be essential for success in this position. If you are looking to work in a dynamic environment where you can apply your skills in Azure, Python, and data stack, this role at Ziance Technologies could be the perfect fit for you.,

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Key Responsibilities: Clean, prepare, and explore data to find trends and patterns Build, validate, and implement AI/ML models Extensively document all aspects of the work including data analysis, model development, results Collaborate with other team members teams to incorporate AI/ML models into software applications Stay updated with the laviptest advancements in AI/ML domain and incorporate into day-to-day work Required Skills/Qualifications: 3-5 years of experience in AI/ML related work Extensive experience in Python Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit- learn, Keras Experience with GenAI, LLMs, RAG architecture would be a plus Familiarity with cloud services such as AWS, Azure Familiarity with version control systems (e.g., Git), JIRA, Confluence Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro Knowledge of CI/CD pipelines and DevOps practices Experience delivering customer facing AI Solutions delivered as SaaS would be a plus Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills and attention to detail Excellent verbal and written communication and teamwork skills Benefits: Competitive salary and benefits package Opportunity to work on cutting-edge technologies and innovative projects Collaborative and inclusive work environment Professional development and growth opportunities 8341137995-kavya.p

We are looking for an experienced Solution Architect in Generative AI to lead the design and delivery of enterprise-grade GenAI solutions across Azure and Google Cloud platforms. This is a full-stack leadership role requiring deep technical expertise and the ability to guide teams through end-to-end project execution. Key Responsibilities: Lead architecture for GenAI projects: LLMs, embeddings, RAG, prompt engineering, agent frameworks. Define scalable designs across full-stack: React, Node.js, .NET Core, C#, Cosmos DB, SQL/NoSQL, vector DBs. Implement Azure/GCP cloud-native solutions using AKS, GKE, Functions, Pub/Sub. Drive CI/CD automation via GitHub Actions, Azure DevOps, Cloud Build. Conduct architecture/code reviews and enforce security, DevSecOps, and performance standards. Translate business requirements into technical solutions and communicate with senior stakeholders. Mentor engineering teams and promote innovation, collaboration, and agile delivery. Required Skills: Generative AI, LLMs, Prompt Engineering, LangChain, RAG, C#, .NET Core, React, Node.js, Azure, Google Cloud, AKS, GKE, Terraform, CI/CD, Cosmos DB, BigQuery, Microservices, DevSecOps, API Gateway Qualifications: Bachelors in Computer Science or Engineering (Master’s in AI/ML preferred) Strong leadership, communication, and stakeholder management skills Apply Now: shrishtispearhead1@gmail.com Contact: +91 8299010653

Job Title: Senior Software Engineer Job Location: Pune Job Description: Company Introduction Join Nitor Infotech, an Ascendion company, where we leverage advanced technologies to drive innovation and deliver impactful solutions. Our collaborative environment empowers teams to excel in data science and AI. Job Overview We are seeking a Senior Software Engineer with expertise in Generative AI and multi-agent systems to lead complex projects and develop advanced AI solutions. This full-time, remote position reports to the Head of Data Science. Key Responsibilities Technical Leadership Execute complex Generative AI projects utilizing RAG (Retrieval-Augmented Generation) techniques. Design and implement multi-agent AI systems using frameworks like AutoGen, LangGraph, and Crew.AI. Develop advanced AI solutions for image processing, document analysis, and multi-format data handling (PDF, Excel, CSV). Build and optimize Large Language Models (LLMs) with custom embeddings and vector stores. Implement prompt engineering and debugging strategies for agentic AI systems. Project Management & Strategy Oversee the complete project lifecycle from requirements gathering to deployment and documentation. Coordinate with multiple stakeholders across business domains. Translate complex technical insights into strategic business decisions. Ensure projects are delivered on time, within scope, and exceed client expectations. Conduct AI model evaluation and performance optimization. Team Leadership & Mentorship Foster a culture of continuous learning and technical excellence. Facilitate collaboration between NLP/NLU engineers, analysts, and operations teams. Guide team members through complex project challenges and technical problem-solving. Advanced Analytics & Machine Learning Apply advanced ML techniques including bagging, boosting, and clustering algorithms (K-means, hierarchical clustering, DBSCAN). Implement feature engineering and selection methodologies for optimal model performance. Develop hyperparameter tuning strategies for various ML models. Handle imbalanced datasets using advanced AI techniques. Deploy MLOps practices for continuous integration and delivery. Must-Have Skills and Qualifications 3+ years of experience in Data Science, Machine Learning, and NLP. 2+ years of hands-on experience with Generative AI and Large Language Models. 2+ years of experience in Agentic AI and multi-agent systems. Proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn, NLTK, Spacy). Experience with ML frameworks: XGBoost, CatBoost, AdaBoost, LightGBM, Gradient Boosting. Knowledge of cloud platforms (AWS) and deployment strategies. Expertise in RAG implementation and vector database management (ChromaDB, FAISS). Experience with multi-agent frameworks (AutoGen, LangGraph, Crew.AI). Strong communication skills with the ability to present to both technical and non-technical stakeholders. Proven track record of leading technical teams and managing complex projects. Good-to-Have Skills and Qualifications Masters degree in Computer Science, Data Science, or related field. Published research or patents in the AI/ML domain. Experience with web scraping and data visualization tools (Streamlit, Matplotlib, Seaborn). Familiarity with AutoML and PyParet frameworks. Knowledge of SQL, MySQL, and database management. Understanding of statistical modeling and advanced analytics. What We Offer Competitive salary and performance bonuses. Comprehensive health and wellness benefits. Opportunities for professional development and career growth. A supportive and inclusive work environment. DEI Statement At Nitor Infotech, we embrace diversity in all forms. We actively foster an inclusive environment where every voice is valued. ISMS Statement Nitor Infotech maintains ISO 27001 certification. All employees must adhere to our information security policies. Preferred candidate profile Immediate joiner Pune Location

About the Role GeoTech Infoservices Pvt. Ltd. is seeking a Lead Python Developer to join our growing team of skilled technologists. In this role, you will take ownership of complex and high-impact software solutions, leveraging the power of Python and modern data processing tools. You'll lead a team of developers while also being hands-on with codedesigning, developing, and delivering innovative applications that support our core business objectives.You will also work on data engineering initiatives, including the development of scalable data pipelines and integration with machine learning systems. If you’re passionate about high-quality software, eager to learn and apply the latest tech, and capable of leading with vision and empathy—this is the role for you. Key Responsibilities Lead and mentor a team of Python developers, promoting best practices and fostering a collaborative work culture. Design, develop, and maintain efficient, reusable, and reliable Python code. Build scalable and high-performance data processing pipelines for machine learning and AI applications. Collaborate with cross-functional teams (design, product, QA, DevOps) to define, design, and deliver robust features. Perform code reviews, provide technical guidance, and ensure code quality through unit testing and best practices. Debug and resolve technical issues in production and development environments. Stay updated with emerging Python tools, trends, and technologies—especially in AI, data science, and cloud computing. Implement solutions integrating modern ML/AI capabilities including transformer-based models, vector databases, embeddings, and retrieval-augmented generation (RAGs). Required Qualifications & Skills 5+ years of proven experience as a Python Developer in a professional setting. Bachelor’s degree in computer science, Software Engineering, or a related field. Strong command of Python programming and frameworks, with exposure to: Libraries such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, Scikit-learn, PyTorch Experience working with pre-trained LLMs, tokenization techniques, and transformer architectures Understanding of Vector DBs, embeddings, and RAG architectures Frontend development knowledge (HTML, CSS, JavaScript) Solid experience with SQL and NoSQL databases Excellent analytical thinking and problem-solving skills Strong communication skills and the ability to collaborate effectively in a team Preferred Qualifications Experience with Python web frameworks such as Django, Flask, or Pyramid Familiarity with cloud platforms like AWS, Google Cloud Platform, or Microsoft Azure Hands-on experience with data science, machine learning workflows, and deployment pipelines Exposure to containerization tools (Docker, Kubernetes) and CI/CD practices

Your Role Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. Your Profile Experience with Gen AI and Machine Learning algorithms. Experience with Natural Language Processing (NLP). Familiarity with AI platforms and understanding of their capabilities and limitations. Ability to design & implement AI models. What youll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programs in the latest technologies such as Gen AI

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

Ccube is a fast-growing technology company dedicated to transforming how businesses harness the power of Apps, Data, and AI. We help organizations thrive by delivering integrated solutions across various sectors. We are currently seeking a dynamic individual to join our team as a "GenAI Pre-Sales Consultant" based in Indore (Hybrid), on a Full-Time basis in the AI/Tech domain. As a GenAI Pre-Sales Consultant, you will play a crucial role in leading sales for Generative AI solutions, which includes LLMs, RAG, vector DBs, and AI agents. Your main responsibilities will include prospecting, pitching, and closing AI deals, leading client discovery sessions and product demos, translating GenAI technology into ROI for clients, collaborating with technical teams, and managing your sales pipeline efficiently using tools like HubSpot/Salesforce. The ideal candidate should possess at least 6+ years of experience in B2B tech sales or consulting, have a strong understanding of LLMs, RAG, vector DBs (e.g., Pinecone), be an excellent communicator with a blend of technical and business acumen, be well-versed in CRM tools, self-motivated, and prioritize client satisfaction. Previous experience in selling AI/ML platforms or working in industries like fintech, healthcare, or retail would be a bonus. At Ccube, we offer an environment where you can build the future by being part of a mission-driven company that is shaping the next generation of AI and digital solutions. You will collaborate with talented individuals who value transparency, experimentation, and integrity, while also benefiting from career mobility, competitive compensation including base salary, commission, and stock options, opportunities for professional growth through annual stipends for certifications, courses, and industry events. If you are ready to help companies unlock the power of technology and contribute to building something extraordinary in the process, we encourage you to reach out to us at "rahul@ccube.com" for more details. Join us at Ccube and be part of a collaborative culture that nurtures talent, innovation, and success. Powered by JazzHR,

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

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

You will be part of a team that is building an Agentic AI Platform aimed at enabling enterprises to solve real business problems using Agentic AI workflows. The platform covers a wide range of areas from utility operations to legal document review. The ultimate goal is to empower AI agents to think, act, and deliver quickly, securely, and locally. As an Agentic AI Engineer, you will have the opportunity to work with cutting-edge frameworks such as Lang Chain, CrewAI, Lang Graph, Google ADK, and more. Your role will involve translating real enterprise challenges into intelligent multi-agent workflows. Your responsibilities will include building and deploying AI agents using open-source agentic frameworks, integrating models from sources like OpenAI, Mistral, Gemini, Llama, Claude, among others, and utilizing tools such as Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores. Collaboration with product managers and domain experts to address real problems in various enterprise domains like utilities, legal, marketing, and supply chain will be a key aspect of your role. Additionally, you will play a significant role in continuously testing and refining agent behavior and contributing to the enhancement of the proprietary DataInsightAI platform. To excel in this role, you should possess at least 1+ years of hands-on experience in implementing enterprise-level Gen AI projects that have been successfully deployed. Strong Python skills, familiarity with LLMs, agentic AI workflows, RAG, vector databases, and the ability to simplify complex problems are essential. A curiosity-driven mindset, a fast learner, and hands-on coding abilities are also crucial for success in this role. While not mandatory, experience in multi-agent architectures, graph databases like Neo4j, deployment on cloud platforms such as Azure/AWS/GCP, and familiarity with LangGraph or Google ADK are considered advantageous. Joining our team will offer you the opportunity to work on cutting-edge agentic AI projects daily, be part of a small team with significant ownership, ship solutions rapidly, and tackle real enterprise challenges. Moreover, you will be supported by InTimeTec, a company with a strong AI/ML engineering culture.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,