459 Rag Jobs - Page 5

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

Role & responsibilities 3+ years of professional software development experience with strong proficiency in Python . Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs). Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG). Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers). Solid understanding of software engineering principles, including API design, data structures, and algorithms. Experience with version control systems (e.g., Git). Ability to work effectively in a collaborative team environment.

As a talented Full Stack Developer with expertise in Generative AI and Natural Language Processing, you will be a key member of our team, contributing to the design, development, and scaling of cutting-edge LLM and Generative AI applications to enhance user experiences. Your responsibilities will include developing backend logic and intelligent workflows using pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. You will integrate and operationalise NLP and Generative AI models in production environments, including speech processing pipelines like automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Applying techniques such as LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) will be crucial for enhancing AI system performance. Moreover, you will design and deploy scalable full-stack solutions supporting AI-driven applications, working with various data sources to enable contextual AI retrieval and responses. Utilising cloud platforms like AWS/Azure effectively for hosting, managing, and scaling AI-enabled services will also be part of your role. If you are passionate about combining full-stack development with AI and LLM technologies to create innovative text and voice applications, we look forward to hearing from you. Qualifications: - 3+ years of hands-on experience in full-stack application development with a strong understanding of frontend and backend technologies. - 12 years of proven experience in designing and implementing AI-driven conversational systems. - Deep knowledge of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: - Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimization in production environments. What You'll Get: - Opportunity to work on one of the most advanced AI systems. - A high-performing, fast-paced startup culture with a deep tech focus.,

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through both automated and manual testing methods. Collaborating closely with data scientists and software engineers, you will be responsible for testing, verifying, and validating AI applications to enhance their performance and usability. Your primary responsibilities will include designing and implementing detailed test plans and test cases for AI-based applications, conducting rigorous tests on various AI models and algorithms, identifying and reporting defects, bugs, and anomalies in AI behavior, and developing automated test scripts for efficient testing. Additionally, you will work on preparing test data, conducting functional and regression testing, and assisting in training and fine-tuning AI models based on user feedback. To excel in this role, you will need a Bachelor's degree with relevant experience, strong knowledge of AI technologies and machine learning frameworks, excellent communication skills, and the ability to work collaboratively in an Agile development environment. You should also be detail-oriented, proactive, and willing to accept feedback to implement changes effectively. Preferred qualifications include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position based at Matrix Tower, Pune, India, with a day shift schedule. If you are a cross-functional teammate who is organized, flexible, and eager to contribute to the QA processes and testing frameworks for AI development, we encourage you to apply for this exciting opportunity.,

Qualcomm India Private Limited is a leading technology innovator pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. Collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Minimum Qualifications: - Possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Senior Machine Learning & Data Engineer: Join our team as a Senior Machine Learning & Data Engineer with expertise in Python development. Design scalable data pipelines, build and deploy ML/NLP models, and enable data-driven decision-making within the organization. Key Responsibilities: - Data Engineering & Infrastructure: Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies. - Machine Learning & NLP: Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. - Python Development: Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. - Collaboration & Communication: Work closely with cross-functional teams to integrate ML solutions into production systems. Required Qualifications: - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Automation Engineer: As an Automation Engineer proficient in C#/Python development, you will play a crucial role in developing advanced solutions for Product Test automation. Collaborate with stakeholders to ensure successful implementation and operation of automation solutions. Responsibilities: - Design, develop, and maintain core APIs using C#. - Identify, troubleshoot, and optimize API development and testing. - Stay updated with industry trends in API development. Requirements: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.,

As an AI Developer, you will be responsible for designing and developing AI/ML models to enhance natural language understanding, intelligent automation, and real-time decision-making through the implementation of NLP, LLMs, and RAG techniques. Your primary focus will involve collaborating with cross-functional teams to seamlessly integrate AI models into various platforms, ensuring scalability, accuracy, and efficiency. In this role, you will actively support training and development programs across India, which may require traveling to client locations, academic institutions, and partner sites as necessary. Additionally, you will be tasked with continuously testing, refining, and documenting AI systems utilizing tools such as Python, TensorFlow, Hugging Face, and cloud services. Furthermore, you will engage in knowledge sharing initiatives, conduct technical workshops, and deliver on-site demos to showcase AI solutions and drive their adoption within the organization. This role is a full-time position with a day shift schedule and requires a Bachelor's degree as the preferred educational qualification. To be successful in this position, you should have a total of 1 year of experience, with specific expertise as an AI Developer for at least 1 year. The work location for this role is in person. In addition to a competitive salary, the benefits package includes cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund contributions.,

At EG, we are dedicated to developing industry-specific software solutions for our customers, allowing them to focus on their profession while we handle the technology aspect. Our team, consisting of industry peers and backed by the stability and innovation of EG, is committed to tackling significant challenges such as resource efficiency and sustainability. With a global workforce of over 3000 employees, including a team of 850+ based in Mangaluru, India, we prioritize a people-first culture that encourages innovation, collaboration, and continuous learning. Join our COE Team, working at the forefront of AI innovation, where we shape AI-powered digital transformation across various business domains. As a Senior Data Scientist with at least 7 years of experience, you will have the opportunity to be part of a core team designing and delivering end-to-end AI solutions that directly impact products across multiple industries. You will have the autonomy to bring your innovations to life while collaborating with exceptional minds in the field. Responsibilities: - Design scalable AI architectures including Traditional AI, GenAI, and Agentic AI - Build AI use cases deployed across hybrid environments such as on-premises infrastructure, Azure, and AWS cloud ecosystems - Enable business units to adopt and maintain AI solutions - Conduct feasibility studies and define technology roadmaps for AI initiatives - Support integration of AI accelerators into existing business applications Your role will involve engaging with product/business teams to translate requirements into AI/ML solutions, leading feasibility analysis, designing solution architectures, and developing, training, and evaluating AI/ML models for various business use cases. You will collaborate with cross-functional teams to deploy end-to-end data pipelines and AI solutions using cloud platforms like Azure and AWS. Additionally, you will evangelize AI best practices, drive adoption of emerging AI technologies, and provide mentorship and training to upskill Business Unit teams and junior data scientists. Required Skills: - Bachelor's in Computer Science and Engineering or related field; advanced degree preferred - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, and related technologies - Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Keras), NLP, and applied AI - Full-stack engineering exposure with backend in Python and experience in building scalable applications using Azure and AWS - Understanding of OOP/OOD, data structures, design patterns, and Agile/DevSecOps methodologies - Experience with visualization tools like Power BI, Streamlit, etc., and excellent interpersonal and communication skills Join us at EG for a professional, innovative environment where you can work on real-world problems and large-scale AI solutions alongside talented colleagues. We offer flexibility, ownership of ideas, extensive opportunities for personal and professional growth, and a strong focus on employee well-being, inclusion, and benefits.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -