360 Rag Jobs - Page 8

Role & responsibilities Develop and implement generative AI solutions, leveraging Microsofts cutting end technologies Work closely with cross-functional teams to prototype generative AI solutions and validate business needs and requirements Collaborate closely with stakeholders to align solutions to business needs Consider production deployment requirements as part of solution design Optimize solutions using the most appropriate models and design for cost effectiveness, efficiency, and accuracy Collaborate with data scientists to integrate machine learning models into proposed solutions Preferred candidate profile Skills: Proficiency in Python and C# (especially in Azure-integrated environments) Experience with or exposure to the following Microsoft technologies: Azure AI Studio Azure OpenAI Services Azure AI Search (Cognitive Search) Fabric Copilot Studio Cognetive Services (Language, Speech, Vision APIs) Experience with foundation models such as GPT3.5 Turbo, GPT 4.0, etc and RAG (retrieval augmented generation) using Azure AI Search or other vector databases Event Driven Architectures and cloud services that support them (e.g., Azure Service Bus, Kafka, Azure Event Grid, RabbitMQ, etc.) Cloud Software development including coding, testing, and debugging on the Microsoft technology stack including .NET (Core/6+), Entity Framework, C#, Typescript, MS SQL, Azure SQL, CosmosDB Prompt flow and evaluation flow for testing/validating models, and exposure to Azure Content Safety is considered an asset Experience with the following is considered an asset: Data modeling and analytics Azure SQL Azure Synapse Azure Data Bricks Azure Data Factory Certifications : 1. Microsoft Certified: Azure AI Engineer Associate (AI-102) with focus on NLP, vision, responsible AI, Azure Cognitive Services, Azure OpenAI

Python, Spark, and AWS, RAG, Azure, ETL, Python, Snowflake, Datawarehouse, Databricks, Abinitio, Tableau, SQL, and NoSQL. Good at problem solving, well-versed with overall project architecture and Hands-on Coding exp is mandatory

Job Description: Data Scientist (Generative AI) Job Summary Astria Digital is hiring a skilled and innovative AI/ML Engineer with 10+ years of experience for an exciting Conversational AI Bot project. This role is available in a hybrid setup (Bangalore) or can be fully remote. Were seeking someone with deep knowledge of AI/ML fundamentals, strong hands-on experience with modern NLP tech stacks, and the ability to build and deploy Small Language Models (SLMs). Youll work on creating intelligent, responsive conversational systems using frameworks like Lang Chain and deploying models on cloud platforms such as AWS or Azure. If you're passionate about cutting-edge language models and building real-world AI solutions, wed love to connect. Skills & Responsibilities Design, develop, and optimize Conversational AI Bots using advanced NLP techniques Build and fine-tune Small Language Models (SLMs) and integrate them into conversational flows Use frameworks like LangChain, LlamaIndex, or similar to develop memory-aware, context-rich dialogue systems Implement Retrieval-Augmented Generation (RAG) and embedding techniques for intelligent responses Deploy custom-trained models on AWS (e.g., SageMaker, Lambda) or Azure (e.g., AKS, ML Studio) Deep understanding of LLM architecture, transformers, and prompt engineering Proficient with libraries such as Hugging Face Transformers, PyTorch, TensorFlow Familiarity with vector databases (e.g., FAISS, Pinecone) and chat memory stores Strong foundation in machine learning fundamentals, optimization, and evaluation techniques Collaborate with product and engineering teams to integrate AI into scalable applications Experience with MLOps, model monitoring, and continuous improvement of conversational performance Keep up with the latest advancements in Conversational AI, open-source LLMs, and fine-tuning method

Role : Gen AI developer/ AI ML / ML operations/Data science Experience: 4 Years - 11 Years Locations: Bangalore/Chennai/Pune/Kolkata Notice Period: Immediate to 30 Days Mandatory Skills : Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills : GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) : We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Interested candidates can share their updated CV to pravallika@wrootsglobal.in

Excellent with Python (scikit-learn, tensorflow, matplotlib, pandas, plotly, numpy) Excellent with Exploratory Data Analysis (EDA), Feature Engineering. Machine learning: Supervised, Unsupervised, Statistical Analysis & Time Series Modeling Deep Learning: LSTM, GRU for sequential data, Variational Autoencoders (VAEs) Generative AI: NLP, Transformers (BERT, GPT), LLM, Fine-tunning LLM, Vector Databases (FAISS, Postgres) Cloud Platform: GCP, Azure, AI Agents,RAG Tools & Frameworks: Hugging Face Transformers, LangChain or LlamaIndex, OpenAI API or similar LLM APIs, Streamlit or Gradio (for prototyping) Soft Skills & Other Requirements: Strong problem-solving and analytical thinking, Ability to communicate technical concepts to non-technical stakeholders, Experience working in cross-functional teams, Familiarity with data privacy and ethical AI practices.

Senior Backend Engineer Role & Responsibilities Design and implement scalable backend systems using Python (FastAPI preferred) and RESTful API services. Integrate and operationalize LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face models) into end-user applications. Develop and maintain pipelines for prompt orchestration, embeddings, and retrieval- augmented generation (RAG). Work with vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) for context- aware LLM responses. Ensure robustness, performance, and security of API endpoints and backend services. Collaborate with front-end developers, ML engineers, and client stakeholders to deliver high-quality features. Participate in architecture design discussions and contribute to code reviews and technical documentation. Take end-to-end ownership of features and independently manage tasks and delivery timelines. Support knowledge transfer from client-side experts and progressively reduce dependency on them. Must-Have Skills: 6+ years of strong hands-on experience in Python backend development, with a focus on RESTful APIs. Experience in integrating LLMs via APIs (OpenAI, Azure OpenAI, Hugging Face Transformers). Strong understanding of RAG patterns, prompt engineering, and context injection for GenAI applications. Experience working with vector databases or semantic search frameworks. Experience with cloud platforms, preferably Azure (Azure Functions, Cognitive Services, etc.). Proficiency in problem-solving, debugging, and performance tuning. Strong communication skills; able to articulate technical ideas and challenges clearly. Ability to work independently and mentor junior engineers when needed. Good-to-Have Skills: Experience with LangChain, LLM orchestration frameworks, or prompt tuning. Experience in containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and version control (Git). Prior exposure to enterprise AI solutions or chatbot frameworks

*****GenAI DevOps Engineer AWS Bedrock***** *****Pune Hinjewadi***** *****Immediate Joiners Preferred***** *****Minimum 4 Days WFO***** Job Description: We are seeking a highly experienced GenAI DevOps Engineer to join our dynamic team in Pune. The ideal candidate will have a strong background in building, deploying, and optimizing Generative AI applications on AWS Bedrock, along with expertise in DevOps practices. You will be responsible for automating infrastructure, managing CI/CD pipelines, and ensuring high performance and reliability of AI models. Key Responsibilities: Design, develop, and deploy Generative AI applications leveraging AWS Bedrock and SageMaker. Automate infrastructure provisioning and deployment processes. Build and maintain robust CI/CD pipelines using CodePipeline and CodeBuild. Monitor application and model performance using CloudWatch, Prometheus, and Grafana. Optimize AI models for performance, scalability, and cost-efficiency. Work with RAG (Retrieval-Augmented Generation) tools such as LangChain, Haystack, and LlamaIndex for building advanced AI solutions. Collaborate with data scientists and developers to streamline model deployment and monitoring. Required Skills: Extensive hands-on experience with AWS Bedrock and SageMaker. Strong expertise in CI/CD tools: CodePipeline, CodeBuild. Proficiency with monitoring tools: CloudWatch, Prometheus, Grafana. Experience with RAG frameworks like LangChain, Haystack, and LlamaIndex. Solid understanding of DevOps best practices and automation. Ability to troubleshoot and optimize AI deployment pipelines. Excellent problem-solving and communication skills. Preferred Skills: Knowledge of containerization (Docker, Kubernetes). Familiarity with scripting languages (Python, Bash). Experience with cloud security best practices. Understanding of machine learning lifecycle management. Mandatory Skills: AWS Bedrock and SageMaker expertise. CI/CD pipeline automation. Monitoring and performance optimization. RAG-based application development.

We are looking for an experienced Data Scientist with expertise in Generative AI and Large Language Models (LLMs) to join our innovation team. In this role, you will work at the cutting edge of AI technologies, leveraging LLMs to develop intelligent applications that can generate, analyze, and process text data. You will collaborate with data scientists, machine learning engineers, and product teams to build and deploy state-of-the-art AI solutions that solve complex real-world problems. Programming Python GenAI Technologies understanding evaluation LLM-LMM integration, Optimization, Deployment RAG, Knowledge graphs, transformers AWS Bedrock We re hiring Sr. Data Scientist for one of our Leading MNC to join their growing team. This position is based out in Bangalore. Education: Any Engineering

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 Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Job Summary: As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications. In this Role, Your Responsibilities Will Be: Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AI's response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues Analyze and validate the performance of machine learning models and AI outputs critically, identify biases, edge cases through testing and ensure that the application meets the encouraged accuracy, precision, and other performance metrics Contribute to improving the overall QA processes and testing frameworks used for AI development Maintain detailed documentation of test procedures, test cases, and testing results for accountability and repeatability. Perform exploratory testing to uncover potential issues with AI application features and functionality Who You Are: Cross-functional teammate Detailed, organized, flexible, and proactive teammate Willing to accept feedback and implement changes quickly and with a positive attitude Comfortable working in an Agile development environment For This Role, You Will Need: Bachelors degree and 2+ years of relevant experience or a master’s degree and 1+ year of relevant experience Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR Outstanding English writing and verbal communication skills Ability to develop product understanding by working closely with product developers in an Agile development environment Ability to design and organize document structure Curiosity about hands-on installation, configuration and use of the software to further develop product understanding Understanding of accepted technical writing style conventions Experience in writing technical documents Ability to work collaboratively as part of a team Self-motivated and able to work independently Ability to simultaneously handle multiple projects and monitor their progress with minimal direction Excellent time management skills and ability to meet deadlines Strong research skills Preferred Qualifications that Set You Apart Bachelor's Degree in Computer Science, Engineering, or a related field. 3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development Knowledge of ethical AI principles and bias detection in AI models Proficiency with automated testing tools e.g., Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot etc.)

Role & responsibilities Build Doctor Agentic AI, a real-time diagnostic and decision-support system. Patient-Doctor interaction- transcribe, understand, and summarize voice notes, answer patient inquiries, and recommend tests or treatments. Integrate text, images, lab reports, and structured EHR data into AI systems that see the full patient picture and medical insights. Live monitoring tools that detect anomalies in vitals, trigger adaptive questioning, and accelerate early interventions. Preferred candidate profile 3+ years of experience in AI/ML with a focus on multimodal data and agent-based systems. Deep understanding of transformer models and medical LLMs. Multimodal Health AI Stack like;: BioGPT, Med Palm, Meditron, ClinicalBERT, OCR (AWS Textract, Google Document AI, Google Vision) CoMT (Chain-of-Medical-Thought Reasoning) pipelines. RAG/MEDRAG pipelines multimodal analysis for structured and unstructured medical data. Proficient with LangChain, OpenAI Agents, Responses AI and tool calling APIs. Use vector databases for semantic search and memory retrieval. Experience generating or managing synthetic patient data for fine-tuning. Skilled in Python, Node.js, Connect models to backend infrastructure and ensure secure data pipelines. Familiar with AWS deployment and cost optimization.

*****GenAI/Architect***** *****Immediate Joiners Preferred**** *****Pune Hinjewadi Phase1***** *****4 days a week***** We are seeking an experienced **GenAI Lead / Architect** to design and implement scalable Generative AI solutions leveraging AWS services. The ideal candidate will lead the transformation of existing LLM-based architectures into efficient, cloud-native platforms, ensuring robust, secure, and cost-effective deployments. Key Responsibilities: Design and architect scalable GenAI solutions using AWS Bedrock and other AWS services. Lead the transformation of homegrown LLM-based architecture into a managed cloud-native solution . Provide architectural guidance across components: RAG pipelines, LLM orchestration, vector DB integration, inference workflows, and scalable endpoints. Collaborate closely with GenAI developers, MLOps, and data engineering teams to ensure alignment on implementation. Evaluate, integrate, and benchmark frameworks such as LangChain, Autogen, Haystack, or LlamaIndex . Ensure infrastructure and solutions are secure, scalable, and cost-optimized on AWS. Act as a technical SME and hands-on contributor for architecture reviews and POCs. Must-Have Skills: Proven experience architecting LLM applications with RAG, embeddings, prompt engineering. Hands-on understanding of frameworks like LangChain , LlamaIndex , or Autogen . Knowledge of LLMs like Anthropic Claude, Mistral, Falcon, or custom models . Strong understanding of API design, containerization (Docker), and serverless architecture. Expertise with AWS Bedrock , S3, Lambda, SageMaker, API Gateway, DynamoDB/Redshift, etc. Experience leading cloud-native transformations. Preferred: AWS Certified Solutions Architect. Experience with CI/CD, DevOps integration for ML/AI pipelines. Exposure to Azure/GCP in GenAI (bonus).

Role & responsibilities Develop and maintain AI-based solutions using Python. Design, develop, and deploy AI-driven applications with a focus on GenAI Chatbots & AI Agents. Implement GenAI Chatbots, including ingestion and query pipelines, using at least one cloud platform ( Azure, or GCP). Implement Agentic AI framework-based solutions. Develop data ingestion pipelines for efficient data processing and transformation. Ensure high data integrity and performance in AI-driven workflows. Deploy AI models on cloud platforms such as Azure, or GCP. Implement best practices for scalability, security, and cost optimization in cloud-based AI solutions. Conduct regular performance tuning, debugging, and troubleshooting of AI models and applications. Implement monitoring and logging mechanisms for AI-driven systems. Work closely with cross-functional teams, including data scientists, ML engineers, and software developers, to integrate AI solutions. Document technical specifications, workflows, and best practices for AI development. Stay updated with the latest advancements in GenAI, Agentic AI technologies to bring innovation into the organization. Preferred candidate profile Extensive experience in AI software development with strong proficiency in Python. Hands-on experience with GenAI, Agentic AI. Experience in developing Generative AI chatbots, Agentic AI frameworks including ingestion pipelines, query pipelines, and Retrieval-Augmented Generation (RAG) using at least one cloud platform. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is a plus.

Experience inimplementing & designing data pipelines using Azure Data Factory Advanced knowledge of Azure Functions,Event Grid Data processing using Azure AI services,cognitive services,Azure cognitive search Stakeholder management,project management

About Role We are seeking a highly skilled AI/ML Engineer to join our team and drive the implementation of cutting-edge ML solutions. The ideal candidate will have extensive experience in developing and deploying advanced GenAI applications, techniques and models. Key Responsibilities: 1. Advanced RAG Implementation o Identify the most appropriate chunking techniques for a use case to maximize RAGs accuracy o Evaluate and implement different retrieval optimisation techniques depending on data & use case requirements o Apply RAG solutions to real-world use cases, ensuring practical applicability 2. LLM Fine-tuning and Optimization o Fine-tune Large Language Models (LLMs) for specific domain use cases o Work on creating the data & format required for fine tuning 3. AI Solution Development o Design and implement advanced AI solutions, including intent classification, sequential modeling, and semantic search o Work with vector databases & frameworks like LangChain to build LLMpowered applications 4. Model Evaluation and Improvement o Create robust evaluation benchmarks to assess model performance o Continuously research and propose innovative methods to enhance AI solution performance 5. Technical Leadership and Collaboration o Stay up-to-date with the latest developments in GenAI and share knowledge with the team o Collaborate with cross-functional teams to integrate AI solutions into production systems Requirements: 2 years+ experience in Machine Learning and Natural Language Processing Hands-on experience with PyTorch, Hugging Face Transformers, and other relevant libraries Proven track record of implementing RAG systems for real-world use cases Experience in fine-tuning and optimizing large language models Proficiency in Python and software engineering best practices Familiarity with vector databases and embedding techniques Strong problem-solving skills and attention to detail Passion for staying current with the latest GenAI developments

Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities - GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. - Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. - AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. - Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. - Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. - Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) - Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. - Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. - Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience - Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. - Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). - Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac - Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. - Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. - Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. - GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. - Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. - LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: - Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. - Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. - Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. - Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills - Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). - Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. - Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. - Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien

Curious about the role ? Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 4+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills.

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Senior Data scientist/ Lead Data scientist Exp : 6 - 12years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 6 - 10years of overall experience, including at least 2-3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project life cycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 2-3 years experience in GenAI and LLM with overall 6- 12 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

We are looking for a Senior AI/ML Engineer to join our team and help design, build, and deploy the product. About Us Zonka Feedback is a fast-growing, bootstrapped SaaS company building an AI-first platform that combines machine learning, GenAI, and large-scale analytics. We are working on cutting-edge applications of AI including LLMs , NLP , unsupervised clustering , vector databases , and retrieval-augmented generation (RAG) systems . Key Responsibilities Design and build scalable NLP pipelines , unsupervised clustering models , and semantic search solutions . Develop vectorization pipelines and implement RAG (Retrieval-Augmented Generation) architectures for efficient information retrieval. Fine-tune large language models (LLMs) and craft effective prompt engineering strategies for real-world performance. Evaluate and optimize AI/ML models using tools like LangChain , Evals , Hugging Face , and custom evaluation frameworks. Work closely with backend and product engineering teams to integrate AI capabilities into production systems. Continuously research and implement advancements in AI, ML, and LLMs to keep the product innovative and competitive. Requirements 3 to 6 years of hands-on experience in Machine Learning and NLP . Solid experience in unsupervised learning techniques (clustering, dimensionality reduction, topic modeling, etc.). Strong understanding and experience in vector databases (e.g., FAISS, Pinecone, ChromaDB) and RAG system design . Experience with LLM fine-tuning , prompt engineering , and deployment of AI systems in production. Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Strong analytical and problem-solving skills with an ability to work in a fast-paced environment. Prior experience building end-to-end AI features that are used in real products is a strong plus. If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

Role & responsibilities Develop, test, and maintain backend services using Python and frameworks such as FastAPI or Flask . Implement and optimize LLM-based applications using models like OpenAI (GPT-4o) , Gemini , LLaMA , etc. Work on RAG implementations , including integration with vector databases and prompt engineering strategies. Design, build, and maintain database connectivity using SQL for infrastructure-level applications. Develop and deploy containerized applications using Docker , Git , GitHub , and integrate with CI/CD pipelines . Deploy and manage applications on cloud platforms ( AWS , Azure , GCP ). Ensure clean code practices including unit testing , error handling , Python best practices , and design patterns . Collaborate with cross-functional teams including Product, Data Science, and DevOps for end-to-end solution delivery. Preferred candidate profile Strong proficiency in Python programming . Familiarity with FastAPI , Flask , or similar web frameworks. Experience with SQL databases and connection management. Hands-on with LLMs and RAG workflows (OpenAI GPT, Gemini, LLaMA, etc.). Understanding of vector databases such as FAISS, Pinecone, or similar. Proficiency with Git , GitHub , and CI/CD pipelines . Experience with Docker for containerization. Exposure to any of the major cloud platforms AWS , Azure , or GCP . Ability to write unit test cases , implement robust error handling , and follow design patterns . Clear understanding of enterprise software development best practices . Someone who have experience working with Banking or Financial Services projects/clients. Immediate Joiner or someone serving notice period.

Responsibilities Implement Generative AI based solutions using Infosys and Industry standard tools and platforms Implement prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results. Perform AI assurance to test AI infused applications Work closely with cross-functional teams to ensure prompts align with company objectives and user experience. Identify and report bugs, performance bottlenecks, and safety issues. Stay up-to-date with the latest advancements in Generative AI and testing methodologies. Identify and report bugs, performance bottlenecks, and safety issues. Technical and Professional Requirements: Hands-on experience in Python LangChain programming Experience in using Traditional AI/ML Models in SDLC Experience in leveraging Azure AI Services in projects Experience in Generative AI Concepts such as Advanced Prompt Engg, RAG, leveraging LLMs etc. Excellent communication skills & Analytical skills Knowledge about Agentic AI Frameworks, Commercial GenAI Platforms/Tools (Optional) Open AI , models knowledge is important Preferred Skills: Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering

Role: ML Engineer. Exp : 5 Years to 10 Years Location : Hyderabad. Job Overview: Were seeking a ML Engineer / Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and agentic workflows (LangChain, LangGraph, LlamaIndex) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices. Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline. Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows. Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes. Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyze performance and optimize costs and SLA compliance. Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows. Qualifications: Bachelor’s or master’s in computer science, Data Science, AI or related quantitative discipline. 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures. In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG). Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks. Strong proficiency in Python and production-grade coding for data pipelines and AI workflows. Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices. Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred). Infrastructure as Code skills with Terraform. Experience building REST APIs, microservices, and containerization with Docker and Kubernetes. Solid data science fundamentals: feature engineering, model evaluation, data ingestion. Understanding of cybersecurity principles, SIEM data, and incident response. Excellent communication skills for both technical and non-technical audiences. Preferred Qualifications: AWS certifications (Solutions Architect, Developer Associate). Nice to have Experience with Model Context Protocol (MCP) and RAG integrations. Nice to have Experience in Crew.AI Familiarity with workflow orchestration tools (Apache Airflow). Experience with time series analysis, anomaly detection, and machine learning.

Job Title: Generative AI Specialist Experience: Total 7+ Years | Relevant - 3 to 5 Years Location: Hyderabad Employment Type: Full-Time Job Description We are seeking a highly skilled and innovative Generative AI Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and deploying AI models, particularly in the domain of generative AI and large language models (LLMs). Key Responsibilities Design & Development: Architect and build generative AI models, algorithms, and frameworks. Model Implementation: Integrate AI models into existing systems and applications. LLM Expertise: Work with tools like LangChain, Haystack, and apply prompt engineering techniques. Data Handling: Preprocess and analyze data for model training and evaluation. Cross-functional Collaboration: Partner with data scientists, product managers, and other stakeholders. Testing & Deployment: Evaluate model performance and deploy models to production. Monitoring & Optimization: Track model performance and continuously improve results. Research & Innovation: Stay updated with the latest advancements in generative AI. Required Skills Proficiency in Python for AI development. Strong understanding of Generative AI , NLP , and LLMs . Experience with RAG pipelines and vector databases . Familiarity with frameworks like LangChain , Haystack , and other open-source libraries. Knowledge of prompt engineering and tokenization . Experience in fine-tuning and integrating AI models in production. Excellent communication and problem-solving skills. Optional Skills Experience with cloud platforms (GCP, AWS, Azure). Familiarity with MLOps and DevOps practices. Why Join Us? Work on cutting-edge AI technologies. Collaborate with a passionate and talented team. Opportunity to innovate and shape the future of AI applications. How to Apply Interested candidates can apply directly through Naukri or send your updated resume to shilpa.shapur@Excelra.com