459 Rag Jobs - Page 4

Prompt Engineering and its strategies Should know how LLM works and its hyper parameter ( temperature, top_p) Agentic AI framework like langchain, lang graph, crew ai RAG LLM evaluation and observability Python Deployment on any one of cloud services

Immediate Joiner Job Summary 4+ years of experience. Skills: Agentic AI, RAG, Python. Education: B tech- M tech Annual bonus

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.

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will need to have 4+ years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. The ideal candidate should have at least 2+ years of working experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products at scale using cloud services and architectures. Additionally, you should possess 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Exposure to Playbooks, Vertex AI, ADK, and Voice AI is also required. It would be beneficial to have knowledge of LangChain and/or LangGraph, and 4+ years of experience in the Contact Center industry, specifically in design, development, testing, integration with vendors, CRMs, and business applications. Proficiency in IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, and customer journey optimization using AI/ML is a plus. Furthermore, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, NoSQL Databases (Cassandra or Mongo), Graph Databases, and Public Cloud Marketplace services is desirable. Experience with Deep Domain Driven Design and cloud-native Microservices designed for massive scale and seamless resiliency on platforms like PCF/VMWare Tanzu, K8s, or Serverless cloud technologies will be an advantage. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 50 countries and a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is also a leading provider of digital and AI infrastructure worldwide, committed to helping clients innovate, optimize, and transform for long-term success. If you are an exceptional, innovative, and passionate individual looking to grow with a prestigious organization, apply now to be a part of NTT DATA's dynamic team.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join the team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent, demonstrated through work experience, training, military experience, or education. To be considered for this role, you must have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products using cloud services and architectures at scale. Additionally, you should have at least 2 years of experience with Python, and 3 years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Experience with Playbooks and Vertex AI is required, along with exposure to ADK and Voice AI. Knowledge of LangChain and/or LangGraph is considered a plus. Furthermore, candidates with 4+ years of Contact Center industry experience, including design, development, testing, integration with vendors, CRMs, and business applications, are preferred. Familiarity with IVR/IVA, NLU/NLP, Real-Time Omni channel Agent experience, customer journey, and CX/AX optimization using AI/ML is advantageous. Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches, Elastic Search technologies, GraphQL, and NoSQL Databases is beneficial. Experience with Graph Databases and Public Cloud Marketplace services is also a plus. Deep Domain Driven Design experience with cloud-native Microservices designed for massive scale and seamless resiliency is desirable, preferably deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA has a diverse team of experts in more than 50 countries and collaborates with a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As a leading provider of digital and AI infrastructure, NTT DATA is dedicated to advancing organizations and society into the digital future confidently and sustainably.,

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key components of the RAG workflow for ensuring production-grade performance and scalability is crucial. You will be evaluating, validating, and fine-tuning the outputs of Generative AI models for accuracy and relevance, implementing monitoring, observability, and guardrails to ensure responsible and secure use of AI technologies, and collaborating with cross-functional teams to deliver innovative AI solutions. To qualify for this role, you must have strong programming experience in Python, including frameworks like FastAPI and Flask. A deep understanding of Generative AI, LLMs, and RAG methodologies is essential. Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search, and Cosmos DB is required. Hands-on experience with machine learning, deep learning, and natural language processing (NLP) is a must. Familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, spaCy, etc., is expected. You should possess solid knowledge of machine learning algorithms, including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM, and Decision Forests, along with experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred qualifications include certifications in Azure AI Engineer Associate or related fields. Experience working with managed LLMs beyond Azure OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.) and knowledge of DevOps, CI/CD, and infrastructure automation for AI pipelines are considered advantageous.,

Hiring Data Engineer with expertise in PySpark, Apache Spark, and Databricks, along with exp in analytics, data modeling, and Generative AI/Agentic AI solutions Exp in PySpark, Apache Spark, and Databricks for batch & streaming data pipelines. Required Candidate profile This role is ideal for someone who thrives at the intersection of data engineering, AI systems, and business insights Exposure to Generative AI, RAG, embedding models, and vector databases

Strong coding ability in Python & proficiency in SQL Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate) Practical exp with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows Building and optimizing RAG pipelines. Required Candidate profile We are looking for a highly capable AI Engineer to contribute to the design and delivery of intelligent, scalable AI solutions Familiarity with LangChain, LlamaIndex, or similar orchestration tools.

Note: 1. Immediate to 30 days serving notice period 2.Who are available for face to face and video can apply Please add more profile for LLM engineer for weekend drive, below is the mandatory skills which delivery is looking for: 5+ years of relevant experience in Python , AI and machine learning - 2+ years of relevant experience in Gen AI LLM Hands-on experience with at least 1 end-to-end GenAI project Worked with LLMs such as GPT, Gemini, Claude, LLaMA, etc LLM skills: RAG, LangChain, Transformers, TensorFlow, PyTorch, spaCy Experience with REST API integration (e.g. FastAPI, Flask) Proficient in prompt types: zero-shot, few-shot, chain-of-thought - Knowledge of model training, fine-tuning, and deployment workflows LLMOPs - atleast 1 cloud (AZURE/AWS) , GITHUB , Docker/Kubernetes , CICD Pipeline - Comfortable with embedding models and vector databases (e.g. FAISS, Pinecone)

Hiring Al Trainees in Gurgaon! Work on cutting-edge Agentic Al in healthcare (RAG, LLMS, automation workflows). Ideal for freshers eager to build real-world Al apps. On-site role. Apply: mcuraimplementation@gmail.com, humanresource@mcura.com

Job Title: AI/ML Architect GenAI, LLMs & Enterprise Automation Location: Bangalore Experience: 8+ years (including 4+ years in AI/ML architecture on cloud platforms) Role Summary We are seeking an experienced AI/ML Architect to define and lead the design, development, and scaling of GenAI-driven solutions across our learning and enterprise platforms. This is a senior technical leadership role where you will work closely with the CTO and product leadership to architect intelligent systems powered by LLMs, RAG pipelines, and multi-agent orchestration. You will own the AI solution architecture end-to-endfrom model selection and training frameworks to infrastructure, automation, and observability. The ideal candidate will have deep expertise in GenAI systems and a strong grasp of production-grade deployment practices across the stack. Must-Have Skills AI/ML solution architecture experience with production-grade systems Strong background in LLM fine-tuning (SFT, LoRA, PEFT) and RAG frameworks Experience with vector databases (FAISS, Pinecone) and embedding generation Proficiency in LangChain, LangGraph , LangFlow, and prompt engineering Deep cloud experience (AWS: Bedrock, ECS, Lambda, S3, IAM) Infra automation using Terraform, CI/CD via GitHub Actions or CodePipeline Backend API architecture using FastAPI or Node.js Monitoring & observability using Langfuse, LangWatch, OpenTelemetry Python, Bash scripting, and low-code/no-code tools (e.g., n8n) Bonus Skills Hands-on with multi-agent orchestration frameworks (CrewAI, AutoGen) Experience integrating AI/chatbots into web, mobile, or LMS platforms Familiarity with enterprise security, data governance, and compliance frameworks Exposure to real-time analytics and event-driven architecture You’ll Be Responsible For Defining the AI/ML architecture strategy and roadmap Leading design and development of GenAI-powered products and services Architecting scalable, modular, and automated AI systems Driving experimentation with new models, APIs, and frameworks Ensuring robust integration between model, infra, and app layers Providing technical guidance and mentorship to engineering teams Enabling production-grade performance, monitoring, and governance

Crew AI Engineer Remote Contractual-6 months Job Description : We are looking for people with strong python skills, knowledge of multi agent frameworks like Crew AI, knowledge of RAG concepts mandatory. Good conceptual knowledge of LLM concepts Langraph and Langchain Required Skills : 5-8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Key Responsibilities Design, build, and maintain scalable full-stack solutions, integrating sophisticated AI models and advanced data retrieval mechanisms into intuitive, scalable, and responsive applications. Applications integrating Retrieval-Augmented Generation (RAG)-based AI solutions. Develop responsive, intuitive user interfaces leveraging modern JavaScript frameworks (React, Angular Design, build, and maintain AI-driven full-stack applications leveraging Retrieval-Augmented Generation (RAG, Vue) to deliver seamless AI-driven user experiences. Build robust backend APIs and microservices that interface with AI models,) and related AI technologies vector databases, and retrieval engines. Integrate Large Language Models (LLMs), embeddings, vector databases, and search algorithms. Collaborate closely with AI/ML specialists, product owners, and UX designers to translate complex AI capabilities into user-friendly interfaces. Implement robust into applications. Collaborate closely with data scientists, machine learning engineers, and product teams to define APIs and backend services to requirements, optimize AI integration, and deliver innovative features support RAG model integrations and real-time data retrieval. Develop responsive front-end interfaces utilizing modern frameworks. Create and manage RESTful and GraphQL APIs to facilitate efficient, secure data exchange between frontend (React, Angular, Vue) that seamlessly interact with AI backend services. Ensure robust security measures, scalability, and performance components, backend services, and AI engines. Participate actively in code reviews, architecture decisions, and Agile ceremonies, ensuring best practices in software engineering and optimization of AI-integrated applications. Participate actively in code reviews, technical design discussions, and agile ceremonies. Continuously AI integration. Troubleshoot, debug, and enhance performance of both frontend and backend systems, focusing on AI latency, accuracy explore emerging AI trends and technologies, proactively recommending improvements, and scalability. to enhance product capabilities. Qualifications Bachelors degree in computer science, Engineering, or a related technical discipline. 3+ years of experience in full-stack software engineering, with demonstrated, Engineering, or related discipline. Minimum of 3+ years of experience in full-stack software development. Proficiency experience integrating AI/ML services. Strong proficiency in front-end technologies including HTML, CSS, JavaScript, and frameworks such as React, Angular, or Vue.js. in frontend technologies (HTML, CSS, JavaScript Backend development expertise with Node, React, Angular, Vue). Strong backend.js, Python, Java, or .NET, particularly experience building RESTful APIs and microservices.skills in Node.js, Python, Java, or .NET. Hands-on experience integrating AI/ML models, particularly NLP- Experience integrating AI and NLP models, including familiarity with Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, or similar frameworks. Proficiency with relational-based Large Language Models (e.g., GPT, BERT, LLaMA). Familiarity with RAG architectures, vector databases (e.g., Pinecone, We and NoSQL databases (PostgreSQL, MongoDB, etc.) and familiarity with vector databases (aviate, Milvus), and embedding techniques. Experience with RESTful APIs, GraphQL, microservices, and cloud-native architecture (AWS, Azure, GCP). e.g., Pinecone, Chroma, Weaviate) is a plus. Solid understanding- Solid understanding of databases (SQL/NoSQL) and data modeling best practices. Experience with version control systems (Git), CI/CD pipelines, and containerization (Docker of version control (Git) and CI/CD pipelines.

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,

You are a technology-led healthcare solutions provider with a strong purpose to enable healthcare organizations to be future-ready. You offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you provide a unique career experience that celebrates entrepreneurship and is driven by passion, innovation, collaboration, and empathy. Indegene values the importance of the early years of your career, recognizing that they lay the foundation for your professional journey. By joining the team, you can expect a differentiated career experience that exposes you to the dynamic intersection of healthcare and technology. You will have the opportunity to be mentored by industry experts and grow alongside the company's high-speed expansion on a global scale. As a Competency Leader, your role involves leading the design, development, and deployment of advanced AI and Generative AI solutions that bring substantial business value to pharma clients. You should possess extensive hands-on experience with AI/ML frameworks, cloud platforms, MLOps, and a deep understanding of GenAI technologies. Key Responsibilities: - Design, develop, and optimize AI/ML models for practical applications ensuring high performance, scalability, and reliability. - Innovate using advanced GenAI technologies to address complex business challenges. - Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. - Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms such as AWS and Azure. - Collaborate with cross-functional stakeholders to align AI solutions with business objectives. - Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment. - Develop and train Generative AI models. - Perform data analysis and prepare data for AI model training. - Integrate AI models with Snowflake, AWS, and other systems. Required Knowledge: - 10+ years of experience in AI/ML development and deployment, including leadership roles. - Good knowledge of machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI-based models. - Proficiency in working with GenAI tools and technologies such as LLMs, RAG, OpenAI APIs, LangChain, Streamlit, and vector databases. - Experience in building scalable (Gen) AI applications on AWS. - Strong background and understanding of vector databases. - Good knowledge of Python for data science and streamlit for rapid deployment of prototypes. - Experience working in an agile environment. - Experience in setting up and using CI/CD pipelines as well as writing software in a test-driven fashion. - Experience in building (Gen) AI solutions on Snowflake is a plus. - Experience with Agentic AI build. Key Skills: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. EQUAL OPPORTUNITY If you are excited about the prospect of contributing to cutting-edge AI solutions in the healthcare industry and are ready to take on a challenging yet rewarding role, we encourage you to apply.,

As a seasoned professional with 8-10 years of experience, you will be entrusted with leading the development of cutting-edge Gen AI solutions at our office located in Irinjalakuda, Thrissur. Your role will involve designing, implementing, and deploying AI models and systems to address business problems effectively. Collaboration with cross-functional teams is key, as you will work together to identify challenges and develop AI-powered solutions that foster growth and enhance operational efficiency. Your expertise will be instrumental in designing and implementing scalable AI solutions, utilizing cutting-edge technologies such as LangChain, Agentic AI, RAG, and Event-driven architecture using Kafka. In addition to development responsibilities, you will be tasked with maintaining large-scale AI systems to ensure optimal performance, reliability, and security. Leading and mentoring a team of AI developers will be part of your role, guiding them to deliver high-quality outcomes in line with industry standards. Staying abreast of the latest advancements in Gen AI and related technologies is imperative. By leveraging your knowledge, you will drive innovation and continuous improvement within the organization. Technical documentation, including architecture diagrams and design documents, will be within your purview, along with participating in code reviews to uphold coding standards and best practices. Engaging with clients and internal stakeholders, you will play diverse roles like a strategist, value realization expert, project manager, track lead, and program manager. Your involvement will span business transformation initiatives through the enablement of digital or data platforms, covering areas such as Conversational AI, target operating model design, and strategy & roadmap development. Your educational background in Computer Science, Engineering, or a related field will serve as a strong foundation for this role. Additionally, investing in learning new skills, mentoring team members, and providing career guidance will be part of your professional growth journey. This full-time position offers benefits such as leave encashment, work from home options, day and morning shifts, as well as performance and yearly bonuses. If you are ready to immerse yourself in the dynamic world of AI development and drive impactful solutions, we look forward to welcoming you to our team. Contact Details: Mobile Number: +91 8089111607, +91 9846875775 Email: theaitsolutionsllp.com (Note: This job description is based on the information provided and does not include specific company details or job title.),

As an AI Engineer at GenAI & Applied ML, you will have the opportunity to work with cutting-edge AI technologies, particularly in Generative AI, Large Language Models (LLMs), and applied machine learning. Your role will involve designing, building, and deploying AI solutions using platforms like OpenAI, Hugging Face, and Cohere, specifically for applications in document intelligence, automation, and Q&A systems. You will collaborate with product and engineering teams to integrate AI features into scalable platforms, utilizing tools like Lang Chain, Flask, and AWS/GCP to deploy models effectively. Your key responsibilities will include integrating RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning for domain-specific applications, and developing NLP models using advanced techniques such as NER, topic modeling, embeddings (Word2Vec, FastText), and transformers (BERT, GPT). Additionally, you will be automating data extraction, classification, and analysis using Python, Selenium, and web scraping tools, while utilizing frameworks like TensorFlow, PyTorch, and Scikit-learn for training deep learning models across NLP, CV, and recommendation domains. To qualify for this role, you should hold a Bachelor's/masters degree in computer science, AI/ML, Data Science, or related fields, along with at least 1+ years of hands-on experience in building AI/ML models. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn is essential, as well as familiarity with LLM orchestration frameworks, cloud platforms like AWS, GCP, or Azure, and a strong understanding of NLP, Computer Vision, or Recommendation Systems. Experience with SQL, data pipelines, and big data tools like Hadoop and Spark would be advantageous, along with a good understanding of explainable AI (XAI) and model interpretability. Nice to have for this role would be projects or experience in healthcare AI, document processing, or legal/finance AI applications, familiarity with Flask/Django for API development, and contributions to research or published papers in ML/NLP conferences. Join our team and be part of our mission to solve real-world problems through AI innovation and technology.,

We are seeking a highly experienced candidate with over 13 years of experience for the role of Technical Project Manager(Data) in Trivandrum/Kochi location. As a Technical Project Manager, your responsibilities will revolve around owning the end-to-end delivery of data platform, AI, BI, and analytics projects. It is essential to ensure alignment with business objectives and stakeholder expectations. Your role will involve developing and maintaining comprehensive project plans, roadmaps, and timelines for various aspects including data ingestion, transformation, governance, AI/ML models, and analytics deliverables. Leading cross-functional teams, comprising data engineers, data scientists, BI analysts, architects, and business stakeholders, to deliver high-quality and scalable solutions within the defined budget and timeframe will be a key aspect of this role. Furthermore, you will be responsible for defining, prioritizing, and managing product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools. Collaboration with business units to capture requirements and translate them into actionable user stories and acceptance criteria for data and analytics solutions is crucial. Overseeing BI and analytics areas, including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities, will also be part of your responsibilities. It is imperative to ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle in collaboration with governance and security teams. Coordinating UAT, performance testing, and user training to ensure successful adoption and rollout of data and analytics products is vital. Acting as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating when necessary are essential aspects of this role. Additionally, facilitating agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives to foster a culture of continuous improvement is expected. Driving post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards is also a key responsibility. Primary Skills required for this role include: - Over 13 years of experience in IT with at least 6 years in roles such as Technical Product Manager, Technical Program Manager, or Delivery Lead - Hands-on development experience in data engineering, including data pipelines, ETL processes, and data integration workflows - Proven track record in managing data engineering, analytics, or AI/ML projects end to end - Solid understanding of modern data architecture, data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling - Hands-on familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices - Strong knowledge of Agile methodologies, sprint planning, and backlog grooming - Excellent communication and stakeholder management skills, including working with senior execs and technical leads Secondary Skills that would be beneficial for this role include: - Background in computer science, engineering, data science, or analytics - Experience or solid understanding of data engineering tools and services in AWS, Azure & GCP - Exposure or solid understanding of BI, Analytics, LLMs, RAG, prompt engineering, or agent-based AI systems - Experience leading cross-functional teams in matrixed environments - Certifications such as PMP, CSM, SAFe, or equivalent are a plus If you meet the above requirements and are looking for a challenging opportunity in Technical Project Management within the data domain, we encourage you to apply before the closing date on 18-07-2025.,

Senior Engineer (GenAI & Prompt Engineering) Company : Xebia | Job Type : Fulltime| Location : Hybrid Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram (India) Job Summary Xebia is hiring an experienced GenAI Engineer to lead initiatives embedding LLMs into internal DevOps and Engineering workflows. This is a hands-on opportunity for AI engineers with strong Python and prompt engineering skills. Key Responsibilities Design and optimize LLM prompts for contextual accuracy Build RAG architectures using FAISS, Pinecone, Weaviate , etc. Integrate LLMs into CI/CD pipelines, dashboards, internal tools Use LangChain, LlamaIndex, HuggingFace, Haystack frameworks Fine-tune LLMs (OpenAI, Claude, Cohere, Mistral) for enterprise use cases Ensure compliance, security, and performance of AI systems Collaborate across teams to identify automation opportunities Required Skills & Experience 6-10 years total experience with 2+ years in GenAI/LLM/NLP systems Strong in Python, vector DBs, embedding techniques Hands-on with LLM APIs , GenAI libraries, and NLP concepts Prior experience building contextual AI agents or CI/CD automation using LLMs Nice to Have Familiarity with multi-modal models , DevSecOps, Kubernetes Experience with developer-facing GenAI use cases (log triage, changelogs, copilots) Other Details Mode : Hybrid (3 days a week in-office) Locations : Chennai / Bangalore / Hyderabad / Pune / Jaipur / Bhopal / Gurugram Notice Period : Immediate to max 2 weeks Contract Role To Apply Send the following details to vijay.s@xebia.com : Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location Notice Period / Last Working Day Primary Skills LinkedIn Profile Keywords : GenAI, Prompt Engineering, RAG, LangChain, Python, FAISS, LLM, LangChain, Vector DB, HuggingFace, LlamaIndex, CI/CD, Automation, DevOps, AI, NLP

Job Title: Python, Machine Learning & GenAI Specialist Company: Tekskills Location: Bengaluru, India Contact: shailender.b@tekskills.in Job Summary We are seeking a dynamic and experienced professional with 5+ years of hands-on expertise in Python, Machine Learning, and advanced experience in Deep Learning and Generative AI (GenAI) . This role is ideal for candidates passionate about solving complex problems, driving innovation, and implementing next-gen AI solutions for real-world applications. Key Responsibilities Design, develop, and deploy robust solutions leveraging Core Python , standard libraries, and frameworks. Build and optimize end-to-end machine learning and deep learning models for production use. Architect and implement GenAI-powered applications utilizing: Vector Databases, Langchain, Langgraph, RAG, and MCP. Integrate external data sources and APIs, and build scalable pipelines for AI model deployment. Collaborate with internal teams to translate business requirements into cutting-edge AI features. Conduct model evaluations, fine-tuning, and support ongoing model monitoring. Mentor and guide team members and contribute to best practices within the AI community. Required Skills & Qualifications Minimum 5 years of professional experience in Python development, with a focus on machine learning and deep learning. Strong understanding of core ML concepts , with proven project delivery using frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in deep learning (CNNs, RNNs, LLMs/Transformers, or similar architectures). Demonstrable expertise in GenAI tools (Vector Databases, Langchain, Langgraph, Retrieval Augmented Generation (RAG), MCP). Introductory knowledge of AI Agents and their integration in larger workflows. Solid understanding of model deployment, API integration, version control, and containerization. Excellent communication, problem-solving skills, and a collaborative mindset. Preferred Qualifications Experience deploying AI/ML solutions in production at scale. Familiarity with cloud AI services (AWS Sagemaker, Azure ML, GCP, etc.). Exposure to LLM fine-tuning, prompt engineering, or knowledge of autonomous agent systems. How to Apply Interested candidates should submit their CV to shailender.b@tekskills.in with the subject line: Application for Python, Machine Learning & GenAI Specialist Bengaluru Join our innovative team at Tekskills and transform the future of AI-driven solutions!

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. It is essential to have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, delivering products with cloud services and cloud architectures at scale. In addition, you should have 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Furthermore, 1+ years of experience with Playbooks and Vertex AI is required for this role. Exposure to ADK (hands-on) and Voice AI is a must. While not mandatory, having experience with LangChain and/or LangGraph is considered a plus. Additionally, 4+ years of Contact Center industry experience would be advantageous, including design, development, testing, integration with vendors, CRMs, and business applications. Proven knowledge in contact center subdomains such as IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, customer journey, and CX/AX experience optimization using AI/ML is beneficial. Moreover, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services is a good-to-have skill set. Experience with Deep Domain Driven Design with cloud-native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies for at least 2 years is also an added advantage. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. Being a part of NTT DATA means being part of a diverse team of experts in over 50 countries, with a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website for more information.,

As a skilled Data Scientist specializing in Generative AI, you will be responsible for designing, developing, and deploying state-of-the-art AI models to tackle real-world business challenges. Your role will involve working with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions. Your key responsibilities will include: - Designing, developing, and fine-tuning advanced Generative AI models such as LLMs, GANs, and Diffusion models. - Implementing and enhancing RAG and transformer-based architectures to enable contextual understanding and document intelligence. - Customizing and optimizing LLMs for specific domain applications. - Building, maintaining, and optimizing ML pipelines and infrastructure for model training, evaluation, and deployment. - Collaborating with engineering teams to integrate AI models into user-facing applications. - Staying updated with the latest trends and research in Generative AI, open-source frameworks, and tools. - Analyzing model outputs for quality and performance, ensuring adherence to ethical AI practices. To excel in this role, you should possess the following skills: - Strong proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, and HuggingFace Transformers. - Deep understanding of GenAI architectures such as LLMs, RAG, GANs, and Autoencoders. - Experience in fine-tuning models using techniques like LoRA, PEFT, or equivalents. - Knowledge of vector databases like FAISS, Pinecone, and embedding generation methods. - Experience in handling datasets, preprocessing, and synthetic data generation. - Solid grasp of NLP concepts, prompt engineering, and safe AI practices. - Hands-on experience in API development, model deployment, and cloud platforms such as AWS, GCP, and Azure. By leveraging your expertise in Generative AI and staying abreast of industry advancements, you will play a crucial role in developing cutting-edge solutions to address complex business problems.,

As a Software Engineer - Backend (Python) with 7+ years of experience, you will be responsible for designing and building the backend components of the GenAI Platform in Hyderabad. Your role will involve collaborating with geographically distributed cross-functional teams and participating in an on-call rotation to handle production incidents. The GenAI Platform offers safe, compliant, and cost-efficient access to LLMs, including Opensource & Commercial ones, while adhering to Experian standards and policies. You will work on building reusable tools, frameworks, and coding patterns for fine-tuning LLMs or developing RAG-based applications. To succeed in this role, you must possess the following skills: - 7+ years of professional backend web development experience with Python - Experience with AI and RAG - Proficiency in DevOps & IaC tools like Terraform, Jenkins - Familiarity with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow - Expertise in web development frameworks such as Flask, Django, or FastAPI - Knowledge of concurrent programming designs like AsyncIO - Experience with public cloud platforms like AWS, Azure, GCP (preferably AWS) - Understanding of CI/CD practices, tools, and frameworks Additionally, the following skills would be considered nice to have: - Experience with Apache Kafka and developing Kafka client applications in Python - Familiarity with big data processing frameworks, especially Apache Spark - Knowledge of containers (Docker) and container platforms like AWS ECS or AWS EKS - Proficiency in unit and functional testing frameworks - Experience with various Python packaging options such as Wheel, PEX, or Conda - Understanding of metaprogramming techniques in Python Join our team and contribute to the development of cutting-edge technologies in a collaborative and dynamic environment.,

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.