443 Rag Jobs - Page 4

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.

Mandatory Skills: Bachelor's degree in Computer Science, Information Technology, AI/ML or related field 2-5 years of experience in working with NLP / LLMs Experience with Fine Tuning and Retraining LLM's. Highly Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications Experience about NLP, LLMs - Falcon, LLama, Langchain, Palm2, Text annotation and Information extraction Experience Vector Databases like Pinecone, Waviate, Chroma , Faiss. Experience in deep learning frameworks like PyTorch/ Tensorflow Strong experience with Python, good programming and problem solving skills Preferred Skills : Experience with Machine Learning, Model Versioning and Deployment. Good knowledge of Cloud Deployment Knowledge about Computer Vision

Key Skills: Python, GenAI, RAG, LLM, Machine Learning, Natural Language Processing, Generative AI, Data Science, AI Model Training, Model Deployment, AI Research, Cloud AI Services. Roles & Responsibilities: Develop and deploy Generative AI solutions utilizing frameworks like RAG and LLM to address business challenges. Work with cross-functional teams to identify opportunities for leveraging GenAI and LLM technologies for enhancing products and services. Design, implement, and optimize Python-based solutions for training and deploying machine learning models. Collaborate with data scientists, product managers, and developers to integrate Generative AI capabilities into various applications and systems. Research and implement cutting-edge AI technologies to improve model performance and scalability. Lead the creation and management of AI models through their lifecycle, including data preprocessing, model training, testing, and deployment. Ensure model quality, efficiency, and robustness, and provide regular updates on AI initiatives to stakeholders. Experience Requirements: 6-9 years of experience in Generative AI, specifically in RAG (Retrieval-Augmented Generation) and LLM (Large Language Models). Proven track record with at least 2 projects in Generative AI or relevant AI-driven solutions. Proficiency in Python for model development, data processing, and AI tool integration. Familiarity with Machine Learning, Natural Language Processing, and Deep Learning concepts. Education: Any Post Graduation, Any Graduation.

Location : Bengaluru Employnment : Contractual Key Skills Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: B uilding scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency

Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 2 to 8 years of experience in full stack software engineering. Proven experience in building AI chatbots and deploying Agentic AI solutions. Hands-on experience with Retrieval-Augmented Generation (RAG) techniques. Proficient in programming languages such as Python, JavaScript, or similar. Experience with AI frameworks and tools such as LangChain, LlamaIndex, LangGraph, MS Autogen2, Google ADK, PydanticAI, crewAI or similar. Strong understanding of front-end technologies like React, Angular, or Vue.js. Strong understanding of backend-end technologies like FastAPI, Flask, Django etc Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Experience in agile development methodologies. Knowledge of machine learning algorithms and data structures. Strong communication and collaboration skills. Ability to work in a fast-paced, dynamic environment.

Role Purpose The purpose of this role is to execute the process and drive the performance of the team on the key metrices of the process. Do Ensure process is executed as per the client contract Conduct briefings before every shift to drive focus on key metrices and debrief at the end of the shift to drive focus of the team on quality and adherence to contract compliance processes Prepare notes from the huddle meetings and share it with the team Prepare and share the performance data of the team with the client at the end of the shift Interact with the client and prepare note to share updates and changes with the team Review the performance on the key process metrices and conduct RCA to improve quality parameters Prepare presentation on weekly and monthly performance data for the manager to be shared with the client Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Be part of the discussion between manager and WFM team on forecast and number of agents required Organize fun hours on Friday for the team to promote team engagement Identify opportunities for automation within the account and share it with the manager Provide details and data to the automation team to support the automation initiative Drive performance of the team on the identified metrices of the process Review last 6-8 weeks performance data (RAG) and identify low performers Provide feedback and coach the outliers/ low performers to improve their performance metrices Prepare Performance Coaching & Counselling Plan (PCCP) to document and support the low performers Handhold the employees on performance on process and monitor for improvements Identify training needs for new joiners especially and track their daily progress Conduct process trainings as well as refresher trainings are provided to bridge the capability gap or if there is any change from the clients end Stakeholder Interaction & Management Coordinate with internal and external stakeholders to ensure compliance and quality in the delivery for accounts Interact and engage with the client manager to communicate and update progress against account plan, project delivery etc. Participate in monthly review meetings with Account Delivery leadership updating them on the status and progress of the account Work with quality team to ensure the quality improvements as per the delivery standards of the contract Provide timely assistance in case of an escalation and support resolution of escalations/ issues Effective Team Management Resourcing Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Digital Marketing. Experience: 3-5 Years.

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal services Collaborate across teams to bring autonomy into complex workflows Mentor and guide teams on the future of agentic AI Why Join Us? Work on the latest in AI/ML and agentic systems Engage with large-scale clients and impactful projects Thrive in a culture of innovation, learning & development Location: Noida Sec-126 l 5 Days work from Office Apply now: nikita.gautam@innovationm.com

Responsibilities: Exp Machine Learning ,NLP, Generative AI, LLm ,API ,django . Develop CRM solutions with Hubspot & FastAPI/Flask frameworks. Design, develop & maintain RAG applications on Cloud platforms. Deploy Model Context Protocol server

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+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 Master's 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 [HIDDEN TEXT] Regards, Balaram K Mobile No: +91- 9000749410 Email: [HIDDEN TEXT]

As an AI Software Engineer at DHL IT Services, you will be part of a global team of 5600+ IT professionals dedicated to innovating and creating sustainable digital solutions to keep the global economy running smoothly. Your role will involve shaping the technology backbone of the world's largest logistics company, pushing boundaries, and leaving a mark on the industry. Our commitment to exceptional employee experiences is reflected in our #GreatPlaceToWork certification, ensuring a supportive and diverse environment where you can continuously expand your skills and grow professionally. As an AI Engineer, you will play a crucial role in finding solutions to improve efficiency in delivering solutions for faster time to market. Proficiency in Python, Prompt Engineering, Generative AI models, and AI use cases application are essential for this role. Knowledge of AI workflow tools such as LangChain and n8n will be a significant advantage in enhancing our business and IT processes. You will be responsible for leveraging available AI tools to apply real-world use cases for better productivity, breaking down tasks to use the right learning models, and ensuring relevant and high-quality results through context engineering using RAG and MCP protocols. Working independently, prioritizing tasks under time and workload pressure, and collaborating with multinational teams are key aspects of this role. Advanced proficiency in spoken and written English will be beneficial for effective cross-region collaboration. In return, we offer a range of benefits including hybrid work arrangements, generous annual leave, comprehensive medical insurance coverage, and in-house training programs for professional and technical certifications. Join us on this exciting journey of digitalization and innovation at DHL IT Services.,

Role & responsibilities About the Role: Our team is responsible for building the backend components of the GenAI Platform. The Platform offers: Safe, compliant and cost-efficient access to LLMs, including Opensource & Commercial ones, adhering to Experian standards and policies Reusable tools, frameworks and coding patterns to perform various functions involved in either fine-tuning a LLM or developing a RAG-based application What youll do here Design & build backend components of our GenAI platform on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. What youll need to succeed Must have skills: At least 7+ years of professional backend web development experience with Python. Experience of AI and RAG Experience with DevOps & IaC tools such as Terraform, Jenkins etc. Experience with MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow. Experience with web development frameworks such as Flask, Django or FastAPI. Experience with concurrent programming designs such as AsyncIO. Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS. Experience with CI/CD practices, tools, and frameworks. Nice to have skills: Experience with Apache Kafka and developing Kafka client applications in Python. Experience with big data processing frameworks, preferably Apache Spark. Experience with containers (Docker) and container platorms like AWS ECS or AWS EKS. Experience with unit and functional testing frameworks. Experience with various Python packaging options such as Wheel, PEX or Conda. Experience with metaprogramming techniques in Python Preferred candidate profile 7 YEARS TO 18 YEARS Permanent, "Python Terraforms AI & RAG MLOps Any cloud (Preferred AWS)"

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 Principal 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. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc 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. Experience in Azure platform 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.

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 Youll 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

About the Role: We are looking for a passionate and experienced Generative AI Engineer to join our AI/ML team. In this role, you will be responsible for designing, building, and deploying advanced generative models to solve complex business problems. You will work closely with data scientists, machine learning engineers, and product teams to turn innovative ideas into real-world AI solutions. Key Responsibilities: Design, develop, and fine-tune generative AI models (e.g., GPT, LLaMA, Diffusion Models, GANs, VAEs). Leverage large language models (LLMs) and foundation models for tasks like summarization, content creation, code generation, etc. Develop pipelines for data preprocessing, model training, evaluation, and deployment . Conduct experiments and A/B testing to evaluate model performance and effectiveness. Work with prompt engineering , retrieval augmented generation (RAG), and fine-tuning strategies. Collaborate cross-functionally with engineering and product teams to build AI-driven features. Stay up to date with the latest advancements in GenAI, NLP, and Deep Learning . Optimize models for performance, scalability, and cost. Required Skills: 49 years of experience in AI/ML with at least 2 years working on generative models or LLMs. Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers . Experience with LLMs (GPT, PaLM, LLaMA, Claude, etc.) , prompt tuning , instruction tuning , or LoRA . Solid understanding of deep learning architectures , NLP, and computer vision techniques. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools . Familiarity with LangChain , VectorDBs (e.g., Pinecone, FAISS), OpenAI/Anthropic APIs is a plus. Excellent problem-solving and communication skills. Preferred Qualifications: Experience in deploying GenAI solutions in production. Contributions to open-source AI projects or research publications in the field.

Strong programming experience in Python, Solid background in deep learning, CNNs, and transfer learning and Machine learning basics, object detection, classification, segmentation, PyTorch, TensorFlow, and ONNX, GPU acceleration (CUDA, cuDNN).

GenAI, NLP, or LLM based systems , strong Python development skills and working Artificial Intelligence, Python, AWS, Machine Learninges and embedding techniques

Level: Assistant manager Location : Bangalore Interested candidates can share their resume with rhythmrhythm@kpmg.com Role & responsibilities: Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions •Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects •Influence machine learning strategy for Digital programs and projects •Make solution recommendations that appropriately balance speed to market and analytical soundness •Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) •Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Create algorithms to extract information from large, multiparametric data sets. •Deploy algorithms to production to identify actionable insights from large databases. •Compare results from various methodologies and recommend optimal techniques. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Develop and embed automated processes for predictive model validation, deployment, and implementation •Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Preferred candidate profile : Bachelor of Science or Bachelor of Engineering at a minimum Good hands-on skills in both feature engineering and hyperparameter optimization Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering