449 Rag Jobs - Page 13

JD: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning. Role & responsibilities Preferred candidate profile

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Job Title: Executive Human Resource Business Partner (HRBP) Location: Gurgaon Company: IGT Solutions Pvt. Ltd. Industry: IT & BPM Travel, Transportation, and Hospitality Domain Company Overview: IGT Solutions Pvt. Ltd. is a global leader in IT and Business Process Management (BPM) services, dedicated to delivering innovation and operational excellence across the Travel, Transportation, and Hospitality sectors. With over 10,000+ travel industry experts and 15 state-of-the-art delivery centers worldwide, IGT offers comprehensive solutions in Application Development, Mobility, Testing, Analytics, Contact Center Services, Back Office Operations, and Consulting. IGT is committed to a diverse and inclusive workplace and provides equal employment opportunities without regard to age, gender, race, religion, disability, or other protected statuses. Job Summary: We are seeking a dynamic and experienced Executive – HR Business Partner (HRBP) to join our team in Gurgaon . This role will lead HR operations for the assigned vertical/process, support business functions, drive employee engagement and retention initiatives, and ensure policy compliance. Key Responsibilities: Employee Relations: Address and resolve employee queries and concerns efficiently; track and report resolution Turnaround Time (TAT). Compliance & Policy Adherence: Enforce labor laws, company discipline, and the Code of Conduct. Attrition Management: Maintain attrition at or below 5%. Employee Engagement: Lead engagement activities, facilitate action planning, record meeting outcomes, and ensure timely follow-ups. Performance Management: Ensure timely KRA sign-offs for new joiners and during internal movements; monitor half-yearly and annual appraisals. Training Compliance: Track training plan adherence for the assigned vertical/process. Exit Management: Conduct exit interviews, analyze survey data, and present actionable insights and trends. Retention Strategies: Implement effective strategies to enhance employee retention and workplace satisfaction. Branding & Market Intelligence: Support employer branding and monitor industry HR best practices. Policy Compliance: Ensure adherence to internal policies including Security, Privacy, Zero Tolerance, Disciplinary, and Learning Agreements. Qualifications: Education: Graduate in any field (preferably with a degree in Psychology, Industrial Relations, or Human Resource Management). Experience: Proven experience in HR Generalist or Specialist roles, especially in labor relations and employee engagement in a BPO/Call Center environment. Skills & Competencies: Proficiency in MS Office tools (Excel, PowerPoint, Word) Strong analytical and problem-solving skills Basic understanding of labor laws and HR practices Ability to multitask and manage deadlines Excellent verbal and written communication skills Strong interpersonal and conflict-resolution abilities Additional Information: Work Environment: Onsite role (Gurgaon office) Work Schedule: Flexibility to work in rotational shifts or 24/7 schedules is mandatory Why Join IGT Solutions? Become part of a global leader that drives meaningful transformation in the travel and hospitality domain. At IGT, you’ll have the opportunity to shape HR practices, contribute to a culture of excellence, and grow your career in a dynamic, people-first environment. Interested candidate can share their cv at sonam.singh1@igtsolution.com

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Role : Data Scientist Experience: 610 Years Salary : 35 L Upto Location : Bangalore Notice Period: 30 Days max ( Immediate Joiners Preferred ) Note : We are Open for both Contract or FTE Job Description: We are seeking a Data Scientist with strong experience in natural language processing and generative AI to build intelligent systems that extract information from PDFs, power chatbots, and implement retrieval-augmented generation (RAG) solutions. The ideal candidate should have a solid foundation in machine learning, experience working with unstructured text data. Key Responsibilities: Design and implement pipelines for extracting structured data from PDF documents using tools like PyMuPDF, PDFPlumber, or OCR libraries. Develop and fine-tune RAG pipelines combining vector databases (e.g., FAISS, Chroma) with LLMs for document-based question answering. Build and optimize conversational agents (chatbots) that use domain-specific data and generative AI models. Train and evaluate machine learning and NLP models for classification, entity extraction, summarization, etc. Collaborate with engineering and product teams to integrate AI capabilities into production systems. Monitor model performance and continually improve accuracy and relevance of generated responses. Requirements: Strong Python skills and experience with libraries like Hugging Face Transformers, LangChain, or LlamaIndex. Strong knowledge of ABC cloud tools (AWS or Azure) Familiarity with vector databases and embedding models (OpenAI, Cohere, SentenceTransformers). Experience with PDF data extraction techniques and tools. Solid understanding of supervised/unsupervised ML, deep learning, and NLP techniques. Experience working with LLMs and knowledge of prompt engineering and fine-tuning. Bachelors or Masters degree in Computer Science, Data Science, or a related field.

Dear Aspirants, Urgent Hiring!!! Desired Candidate Profile 3+ years of experience Location: Bangalore-Electronicity Mandatory skills: Automation testing . . Exp : 3+ yrs (Only) You can register by sharing your CV, Notice period and Expected CTC to 9363648148 Whatsapp for immediate response (May not be available for call). Apply If you are ready to work from office Bangalore location . we are not considering candidates with less than 3 years of experience, Relocation candidates and notice period higher than 10 days. Proficiency in Python for AI/ML Development Strong command of Python and its ecosystem is essential for building and scaling AI applications. Experience with LLM Technologies and Architectures Includes API integrations (e.g., OpenAI, Anthropic), Retrieval Augmented Generation (RAG), vector databases, and embedding models. Backend Development and API Engineering Ability to develop and maintain backend services and APIs that support AI functionality. Relevant years of experience: 3+ years

Role & responsibilities We are looking for an experienced GenAI Developer to join our team and drive innovation in AI-driven applications. The ideal candidate will work with large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), vector databases, and API development to build intelligent and scalable AI-powered solutions. Develop, fine-tune, and deploy LLM-based applications to enhance AI-driven capabilities. Implement Agentic AI workflows for autonomous decision-making and task execution. Design and optimize RAG pipelines to improve contextual retrieval and knowledge grounding. Work with vector databases (e.g., FAISS, Pinecone, Weaviate, pgvector) for efficient data retrieval and embedding storage. Build and integrate RESTful APIs using FastAPI or similar frameworks to enable seamless AI interactions. Optimize AI models for latency, efficiency, and cost-effectiveness in production environments. Integrate multimodal AI capabilities to process and generate content from various media formats. Embed real-time monitoring and analytics to generate insights and proactive recommendations. Ensure security, privacy, and ethical AI practices in all deployments. Preferred candidate profile Experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.). Hands-on experience in Agentic AI frameworks (LangChain, AutoGPT, CrewAI, Agno (Phidata), etc.). Proficiency in RAG techniques for enhanced AI responses. Expertise in vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, or pgvector. Strong Python programming skills with experience in FastAPI. Knowledge of embedding models (e.g., OpenAI embeddings, Hugging Face, BGE, etc.). Strong understanding of RESTful API integration and development. Perks and benefits

Develop Deep Learning models, focusing on NLP, Large Language Models (LLMs), and Generative AI. Expertise in NLP techniques (e.g., text classification, sentiment analysis, text generation).

Our client is leading Global IT Service and Consulting Organization Role : Gen AI Lead/ Architect Exp : 10+ years Location. : Bangalore, Chennai, Hyderabad NP: Immediate to 30 days Job Description : Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4

Management Level: Ind & Func AI Decision Science Analyst/Consultant Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions. Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2-8+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture (do not remove the hyperlink)

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 7+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

AI/ML-focused Software Developer with 3+ YOE in SDLC and 1+ year in conversational AI (speech-to-text, emotion recognition, agentic systems). Skilled in fine-tuning LLMs/SLMs, RAG, quantization, and distillation for production use. R & D Required Candidate profile Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs. Background in agent-based modeling, RL, GenAI. Holds CS/AI degrees with contributions via publications or open-source work.

Job Title: AI Engineer – GenAI & Azure (Python + ML) Location: Bangalore Hybrid Experience: 7+ years to 15 Years Employment Type: Full-Time Design, develop, and deploy AI/ML solutions with a focus on Generative AI applications. Required Candidate profile Build and optimize scalable data pipelines and AI services using Python and Azure cloud components. Integrate and operationalize AI models using Azure Functions, Azure Event Grid, and Azure Search.

Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI . Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases . Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs , designing robust relational database schemas ( PostgreSQL, MySQL ), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker . Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

We are looking for DS Gen AI Lead with Azure Cloud experience. Location - PAN India Experience - 12+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG, Azure and Open AI Job description Deep understanding of RAG Open AI LLM embedding models Good knowledge of Vector database and how it works Experience in designing solutions Ability to do research for use cases and discuss various approaches with pros and cons Evaluate and recommend appropriate AI technologies and frameworks Lead the development and mentor development team in technical challenges Understanding of Data privacy concerns in GenAI application Excellent communication skills Ability and willingness to work late hrs as needed by business

Job Position (Title): Agentic AI Experience Required: 3 - 9 Years No of Position: 4 Job Type: FTE Location: Hyderabad Required Skills 3 to 7 years of hands-on experience in AI/ML, with at least 12 years specifically in Agentic AI or autonomous agents. Strong proficiency in Python and familiarity with AI libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs. Experience with tools like AutoGen , CrewAI , and LangGraph . Deep understanding of RAG pipelines , LLM fine-tuning , and embedding-based retrieval systems . Hands-on experience with vector databases like FAISS, Pinecone, or similar. Solid foundation in machine learning, NLP, and data structures. Excellent communication skills and ability to work in a collaborative environment Role and Responsibilities Design, build, and deploy intelligent autonomous agents using Agentic AI frameworks like AutoGen , CrewAI , and LangGraph . Implement RAG (Retrieval-Augmented Generation) pipelines to enhance response accuracy and contextual relevance. Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for knowledge storage and semantic search. Fine-tune large language models (LLMs) for specific tasks using tools like LoRA, PEFT, or full model training. Collaborate with product, research, and engineering teams to understand user needs and create agent-based workflows. Integrate APIs and services to create complex multi-agent systems capable of task delegation and coordination. Continuously evaluate and improve system performance, scalability, and reliability. Preferred Qualifications Prior experience deploying LLM-based agents in production. Knowledge of prompt engineering and agent orchestration. Contributions to open-source AI/agent frameworks.

We are looking for an innovative Generative AI Engineer to design, build, and deploy LLM-based applications, chatbots, and AI-driven workflows. You will work on retrieval-augmented generation (RAG) systems, fine-tune AI models,

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with Master degree enrollments. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 11 -16 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 987153039 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Responsibilities: * Design, develop, and deploy generative AI models using Python and TensorFlow. * Optimize model performance through RAG testing and LLM integration.