459 Rag Jobs - Page 2

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should have 12-15 years of experience in cloud-native and distributed systems, with at least 2-3 years of experience in GenAI/LLMs using tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is required. Experience with technologies like RAG, semantic search, agent orchestration, and MLOps will be beneficial for this role. Strong architectural thinking and effective communication with stakeholders are essential skills. Preferred qualifications include cloud certifications, AI open-source contributions, and knowledge of security and governance principles. If you are passionate about designing cutting-edge Generative AI solutions and possess the necessary skills and experience, we encourage you to apply for this leadership role.,

Design and deploy GenAI apps using OpenAI, Azure, LangChain, AutoGen, etc. Build full-stack apps (React/NextJS, NodeJS), work on speech & vision AI, video processing (FFMPEG), and collaborate on agile R&D with global teams.

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.

Dear Candidates, Please find below the Job Description for an exciting opportunity with us: Location: Whitefield, Bangalore Contact: Ramya 9019493984 / 9113935324 Position: Principal Engineer / AI Platform Architect Key Responsibilities Architect & Develop Core Systems Lead the design and implementation of scalable, secure, and highly available enterprise cloud AI platform services. Drive evolution of microservices architecture to enhance performance, resilience, and developer productivity. Technical Leadership & Mentorship Provide guidance and mentorship to engineers, fostering a culture of learning. Establish and enforce best practices for developing cutting-edge AI solutions. Cross-Functional Collaboration Work with AI research, engineering, product, and UX teams to translate business needs into scalable solutions. Lead architectural reviews and contribute to technical roadmap planning. AI Innovation & Exploration Explore and evaluate emerging AI/ML technologies, frameworks, and tools. Collaborate with AI research teams to implement GenAI and ML solutions in production. Quality, Security & Compliance Champion CI/CD, automated testing, observability, and robust security practices. Ensure adherence to industry standards, privacy laws, and internal policies. Qualifications Educational Background: Bachelors or Masters in Computer Science, ML/AI, Software Engineering, or a related field. Technical Expertise: 12+ years of software development experience, including 3+ years in a lead or principal role. Hands-on experience with Python, Go, Java, or C++. Strong understanding of cloud-native architectures, Kubernetes, and platforms like AWS, GCP, or Azure. Experience with SQL/NoSQL, Kafka, and scalable storage solutions. Expertise in microservices, RESTful APIs, GraphQL, and event-driven architecture. AI/ML & Data Skills: Deep experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on with GenAI technologies, LLMs, and frameworks like LangChain, LlamaIndex, AutoGen, etc. Soft Skills & Leadership: Excellent communication and stakeholder management skills. Strong problem-solving abilities and a track record of delivering projects end-to-end. Ability to lead in a fast-paced, collaborative environment. Feel free to reach out for further information or clarification. Best regards, Ramya Talent Acquisition 9019493984 / 9113935324

We are seeking a highly skilled LLM Engineer with deep expertise in chatbot implementations and large language models (LLMs) . The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG) , instruction fine-tuning , parameter-efficient fine-tuning (PEFT) techniques such as LoRA or QLoRA , and proficiency in frameworks like LangChain , LlamaIndex , Haystack , Rasa , or their equivalents. The role requires experience in designing and implementing at least two chatbot projects end-to-end, coupled with a strong understanding of requirement analysis, architecture planning , and solution strategy formulation . Bonus points for experience with Vision-Language Models (VLMs) and multimodal AI applications integrating text, image, video, and audio data. Key Responsibilities Design, architect, and develop intelligent chatbot systems using state-of-the-art LLM techniques. Analyze business and functional requirements and translate them into scalable LLM solutions. Implement Retrieval-Augmented Generation (RAG) pipelines using relevant libraries and vector databases. Apply instruction fine-tuning and PEFT techniques like LoRA/QLoRA for domain-specific customization. Build LLM applications using frameworks such as LangChain , LlamaIndex , Haystack , or Rasa . Integrate chatbots with enterprise systems, APIs, and document stores. Work with vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) and embedding models. Collaborate cross-functionally with design, product, and engineering teams for integration and deployment. (Preferred) Develop multimodal systems that process combinations of text, audio, video, and images. Stay up to date with the latest research in conversational AI, LLMs, and multimodal AI. Document technical architecture, processes, and best practices. Required Qualifications Bachelor's or Masters in Computer Science, Artificial Intelligence, Data Science, or equivalent. 6 to 9 years of total experience in software/AI development with minimum 2+ chatbot projects delivered using LLMs. Proficiency in RAG , instruction tuning , and parameter-efficient fine-tuning (LoRA/QLoRA) techniques. Strong expertise in one or more frameworks: LangChain , LlamaIndex , Haystack , Rasa , etc. Solid programming skills in Python and familiarity with Transformers , PyTorch , or TensorFlow . Experience with vector databases , embedding models , and NLP pipelines . Ability to understand business needs and independently drive solution strategy and implementation. Excellent communication and stakeholder engagement skills. Preferred Qualifications Exposure to multimodal AI and Vision-Language Models (VLMs) such as Flamingo, GPT-4V, or Kosmos. Experience with MLOps tools and deploying LLMs into scalable production environments. Understanding of prompt engineering, few-shot learning, and performance optimization for LLMs. Familiarity with model evaluation metrics specific to conversational and generative tasks. Soft Skills Strong analytical and problem-solving mindset. Self-motivated with the ability to take initiative and ownership. Effective communicator with the ability to translate complex technical concepts into business outcomes. Comfortable working in agile, fast-paced environments

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources, and opportunities to unleash their full potential. The power we create together when we combine your strengths with ours is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big We Need You. **Job Title:** Junior Data Scientist **Location:** Bangalore **Reporting to:** Senior Manager - Analytics **Purpose of the role:** The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of LLM-based frameworks, tools, and technologies, cloud-native technologies and solutions, and microservices-based software architecture and design patterns. As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. **Key tasks & accountabilities:** **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:** - Building 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 **Qualifications, Experience, Skills:** **Level of educational attainment required (1 or more of the following):** - Bachelor's or master's degree in Computer Science, Engineering, or a related field. **Previous Work Experience Required:** - Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. **Technical Skills Required:** - Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. - Proficiency in implementing and optimizing machine learning models for natural language processing. - Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. - Strong programming skills in languages such as Python and proficiency in relevant frameworks. - Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create a future with more cheer.,

Auxiliobits is a global consulting and AI services firm that specializes in delivering transformative automation solutions across various industries. With a presence in India, Dubai, and the US, we focus on HyperAutomation, Agentic AI, and Intelligent Process Automation, leveraging advanced technologies such as UiPath, LLMs, Autonomous Agents, and cloud-native deployments. We are currently looking for a Senior RPA + Agentic AI Developer to take the lead in developing and deploying next-gen automation solutions. The ideal candidate should possess solid expertise in UiPath development and have hands-on experience or a keen interest in Agentic AI frameworks like LangChain, ReAct, or UiPath's Agentic features. In this role, you will collaborate closely with cross-functional teams to deliver automation systems that go beyond being rule-based to being reasoning- and context-aware. Key Responsibilities: - Design, build, and deploy scalable RPA solutions using UiPath and modern automation frameworks. - Develop and integrate Agentic AI components, such as ReAct-style agents, LLM orchestration, and autonomous workflows. - Utilize APIs, cloud services, and enterprise data to facilitate AI-powered decision-making and process execution. - Identify automation opportunities blending RPA and AI in collaboration with Process Owners and Business Analysts. - Implement document understanding, NLP models, and AI-based classification in end-to-end workflows. - Create reusable components, libraries, and utilities to expedite delivery. - Ensure adherence to security, scalability, and auditability standards. Required Qualifications: - Minimum 5 years of experience in RPA development, with at least 3 years focusing on UiPath (REFramework, Queues, Orchestrator, etc.). - Preferably possess the UiPath Advanced Developer Certification. - Proficiency in .NET, VB, Python, or similar programming languages. - Experience in integrating REST/SOAP APIs, working with databases, and handling structured/unstructured data. - Familiarity with LLMs, prompt engineering, LangChain, OpenAI, or similar AI tools. - Hands-on exposure to ReAct agents, retrieval-augmented generation (RAG), or agent orchestration concepts. - Strong problem-solving skills and the ability to work independently in a fast-paced environment. Good to Have: - Experience in Agentic Process Automation or multi-agent architectures. - Knowledge of cloud services like Azure, AWS, GCP, and deploying AI/RPA workloads on the cloud. - Domain expertise in finance, healthcare, logistics, or procurement. - Familiarity with platforms such as UiPath Apps, Action Center, and AI Center. Perks & Benefits: - Opportunity to work with cutting-edge automation and AI technologies. - Collaboration with a high-performance team and global clients. - Exposure to enterprise-grade deployments and innovation projects. - Career advancement prospects in an AI-first automation company.,

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through various testing methods. You will collaborate closely with data scientists, software engineers, and other team members to enhance the performance and usability of AI applications. Your responsibilities will include designing and executing detailed test plans, conducting rigorous tests on AI-based applications, identifying and reporting defects, developing automated test scripts, preparing test data, performing different types of testing, and contributing to the improvement of QA processes and testing frameworks. You will need a Bachelor's degree with 2+ years of relevant experience or a Master's degree with 1+ year of relevant experience. Strong knowledge of AI technologies, machine learning frameworks, and NLP is essential, along with excellent English communication skills. Being a cross-functional, detailed, organized, and proactive teammate who is willing to accept feedback and implement changes promptly is crucial for success in this role. Additionally, you should be comfortable working in an Agile development environment, have a curiosity for software installation and configuration, and possess strong research skills. Preferred qualifications that set you apart include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI-based applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position with a day shift schedule that requires in-person work at Matrix Tower, Pune, India.,

We are seeking a Senior LLM Engineer to actively contribute to the development of cutting-edge GenAI applications. Your responsibilities will include building GenAI applications that align with business use cases, designing and optimizing prompts for multi-modal models, testing GenAI solutions to ensure they meet requirements and implementing guardrails to prevent unintended or harmful content generation. Additionally, you will be involved in designing conversational or RAG systems. To be successful in this role, you should have a Bachelor's degree in Engineering or related fields with at least 3 years of experience in ML/LLMs. You should possess knowledge of prompt engineering techniques such as chain of thoughts, tree of thoughts, guardrails, zero-shot or few-shot prompting. Familiarity with open-source and proprietary LLMs like GPT, Claude, LLaMA, and Mistral is required. Proficiency in Python programming and experience with libraries like numpy and pandas are essential. Hands-on experience with frameworks such as Langchain, LlamaIndex, Huggingface, or similar tools is preferred. Knowledge of RAG and experience with self-hosted/cloud-based vector databases is a plus. The ideal candidate will have a proven ability to work effectively in a cross-discipline environment within defined timelines. Experience with cloud-based systems, particularly GCP or AWS, is highly desirable. Strong analytical, problem-solving, written, and verbal communication skills are also key requirements. This position is based in Ahmedabad or Pune.,

As an AI/ML Developer at our Gurugram location, you will be responsible for designing and implementing end-to-end machine learning models using Python for various tasks such as regression, classification, clustering, NLP, and deep learning. Your expertise in developing AI applications based on Machine Learning and Large Language Model (LLM) using tools like LangChain, RAG pipelines, vector databases, and more will be crucial in driving AI innovation. You will work on building and deploying AI applications leveraging technologies such as Retrieval Augmented Generation (RAG), LangChain, LLMs (OpenAI, Huggingface Transformers), and Vector Databases (FAISS, Pinecone, Milvus). Your role will involve developing robust pipelines for semantic search and retrieval chains in real-world production systems, writing clean and efficient Python code, and collaborating with cross-functional teams to deliver scalable AI/ML solutions. If you have front-end skills in React, it would be considered a big plus as you may also contribute to UI components for interactive AI applications. To be successful in this role, you should have at least 5 years of hands-on experience in AI/ML development using Python and a strong knowledge of ML algorithms such as XGBoost, SVM, Random Forests, Logistic Regression, as well as deep learning models like CNNs, RNNs, Transformers (BERT, GPT), and unsupervised learning techniques including K-Means and PCA. Experience with RAG architecture, LangChain, advanced prompt engineering, vector search techniques, and Python libraries like scikit-learn, TensorFlow, PyTorch, and Huggingface Transformers is essential. Proficiency in working with cloud environments such as AWS, Azure, or GCP is also required. It would be nice to have front-end development experience using React.js, familiarity with MLOps tools like MLflow, Kubeflow, Airflow, and knowledge of self-supervised or contrastive learning methods such as SimCLR and CLIP. In this role, you will have the opportunity to work on cutting-edge AI/ML technologies, collaborate in a fast-paced and innovative environment, contribute to impactful production-level AI solutions, and enjoy competitive compensation and benefits.,

We're Hiring: Sr. Software AI Engineer AI & ML Location: Remote / On-site Specify Type: Full-time | Join Within: 30 Days Department: AI & Machine Learning Apply Now: nitu.singh@simplifyhealthcare.com At Simplify Healthcare , we're on a mission to transform payer operations through automation, intelligence, and next-gen AI. Founded in 2008, were a leading healthcare IT company driving innovation across health insurance platforms. Our latest game-changer? A powerful agentic AI platform built on LLMs and Retrieval-Augmented Generation (RAG) . This is your chance to work on meaningful real-world problems, from automating claims to intelligent provider queries all while shaping the future of healthcare. What Youll Do: As a Senior AI/ML Engineer , you'll play a pivotal role in building intelligent agents and conversational AI systems that make healthcare smarter, faster, and more human. You will: Design & build LLM-powered RAG pipelines with Azure Cognitive Search or similar vector databases. Develop conversational agents using LangChain , Python , and cutting-edge agent frameworks. Fine-tune or prompt-tune LLMs (Azure OpenAI) for healthcare insurance use cases. Integrate structured & unstructured data (MongoDB, MSSQL) into AI workflows. Build high-performance APIs with FastAPI for real-time model serving. Collaborate across teams to enhance product UX and AI performance. Optimize agent memory, reasoning, and multi-agent collaboration. Drive innovation with A/B testing , prompt engineering , and LLM evaluation cycles . Skill Required: 3+ years of experience in AI/ML or NLP engineering. Solid experience building RAG pipelines , LLM-based applications , or vector search . Strong skills in Python and FastAPI or Flask. Hands-on with MongoDB , unstructured/structured data integration. Understanding of prompt engineering , multi-agent systems , and context optimization . Experience with Azure cloud AI services is a huge plus. Great communication and cross-functional collaboration skills. Bonus Points If You Have: Worked on agentic AI architectures or multi-agent orchestration . Integrated claims, benefits, or policy data into AI workflows. Knowledge of healthcare payer systems , HIPAA , or regulatory environments. Why Simplify Healthcare? Be part of a cutting-edge AI journey in a high-impact domain. Work on real-world challenges that truly matter. Collaborate with a smart, passionate, and supportive team. Enjoy a flexible, innovation-first culture where you own your growth. How to Apply: If you are passionate about AI and can join within 30 days , we would love to hear from you! Please share your CV at: nitu.singh@simplifyhealthcare.com

Greetings from Sun Technologies. Position: AI Engineer Years Of Experience: 5+ Years Work Location: HBR Layout, Bangalore (work from office) Job Type: Permanent/Fulltime Position Interview Mode : Virtual Shift Details: 12:30 PM TO 9:30 PM-IST (Free 2 ways cab with dinner) Roles Responsibilities: Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python If interested please share updated resume to chandanap@suntechnologies.com, appreciate for references.

Looking for Top Talent in Data Science healthcare Domain Immediate Joiner/30 Days Work From Office - 5 Days (Hebbal Location) Job Summary We are seeking a Senior Data Scientist Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Senior Data Scientist Gen AI, youll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: The ability to design and develop ML, Gen AI, NLP, LLM Models for AI data pipelines. Model components will include data ingestion, preprocessing, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering . Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field 5-8 years of hands-on experience in data science, analytics, or machine learning roles Knowledge of ML Ops practices deploying and operationalize AI models. Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes). Demonstrated experience working with large datasets and statistical modeling Proficiency in Python or R for data analysis and machine learning Experience with SQL and database management systems Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental designJD Template for Senior Data Scientist Gen AI Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What Youll Need to Be Successful (Required Skills): Large Language Model (LLM) Experience : At least 5 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques. LLM experience should include Claude, Llama models.Understanding of RAG techniques is a critical skill. Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Minimum Qualifications: Bachelor's or master's degree in computer science, Engineering, or a related technical field, or equivalent practical experience. 4-7 years of professional software development experience. Proficiency in Java, or Core Java. Hands on experience with Gen AI & RAG. Experience with software development practices and design patterns. Strong problem-solving skills and attention to detail. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Good communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.

Role Senior Python Developer (Data Science, AI/ML) HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus

Prompt Engineer We are looking for a Prompt Engineer to join our delivery team and take ownership of prompt design, optimization, and context structuring in out Agentic AI Projects. You will work closely with data engineers, frontend/backend developers, and domain SMEs to ensure the AI produces accurate, relevant, and useful outputs in response to financial queries. Key Responsibilities: Design, develop, and iteratively improve prompts for financial query handling, chart generation, and narrative explanation. Structure context for LLM calls using metadata, schema details, cube hierarchies, and user query history. Optimize prompt formats for different use cases: summaries, comparative analysis, simulations, and forecast scenarios. Collaborate with SMEs to translate business questions into structured prompt frameworks and test sets. Build and test prompt pipelines using RAG techniques with financial datasets and document sources. Monitor LLM outputs for accuracy, completeness, and business alignment; propose corrections and enhancements. Work with the development team to integrate prompt logic into API endpoints and UI workflows.. Requirements: 2+ years of experience in prompt engineering, NLP, or working with LLMs (e.g., GPT-4, Azure OpenAI). Strong understanding of prompt composition strategies (system prompts, few-shot, chain-of-thought, etc.). Experience working with financial or business data (KPIs, variance reports, financial statements, etc.). Familiarity with tools like LangChain, Azure AI Foundry, or custom RAG implementations. Comfortable reading data schemas (Power BI datasets, OLAP cubes) and using them to craft contextual prompts. Basic knowledge of Python, JSON, and APIs. Excellent communication skills and attention to detail. Ability to collaborate cross-functionally with engineers and finance SMEs. Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow Location: Bangalore

We are seeking a Generative AI Engineer with 712 years of experience for a 12-month hybrid engagement (2 days onsite) in Bengaluru, Chennai, Hyderabad, Pune, or Vadodara. The candidate will develop enterprise-grade, cloud-native GenAI applications leveraging Azure OpenAI, Azure Cognitive Services, Azure ML Studio, and Azure Document Intelligence. Proficiency in implementing LLMs, RAG pipelines, OCR, and agent-based frameworks using LangChain, LlamaIndex, and Semantic Kernel is critical. The engineer should have experience in deploying scalable AI solutions across production environments. This role demands a mix of technical depth and applied AI implementation with strong delivery ownership and a problem-solving mindset. Location - Bengaluru, Chennai, Hyderabad, Pune, Vadodara (Hybrid 2 days WFO)

Key Responsibilities: Design and Implement RAG-Based Solutions: Lead the development of a robust RAG-based system that seamlessly integrates generative AI models with retrieval mechanisms, ensuring optimal accuracy, performance, and scalability. Agent-Based Solution Development : Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions using AutoGen, LangGraph frameworks. Generative AI Integration : Leveraging LLMs (e.g., GPT, Anthropic, Llama, Deepseek etc.) for generating high-quality, contextually accurate content in response to user queries. Prompt Engineering: Strong proficiency in prompt engineering to design, test, and optimize prompts for large language models, ensuring effective agent behavior and task completion Data & Knowledge Integration : Work on integrating structured and unstructured data sources into the RAG framework to improve model outputs. Collaborate with Teams : Work closely with product, engineering, and data science teams to ensure seamless integration of AI capabilities into broader products. Security & Compliance : Ensure following best practices in data security, privacy, and compliance, particularly in AI-driven applications. Model Evaluation : Implement strategies for continuous evaluation, monitoring, and tuning of models to ensure high-quality outputs. Data Pipeline Design : Build robust data pipelines for preprocessing and integrating structured and unstructured data sources into the platform. Collaborate with Teams : Work closely with data engineers, and software engineers to ensure seamless integration of machine learning models into production environments. Performance Optimization : Implement and experiment with various techniques such as vector search , semantic search , and knowledge distillation to enhance the platforms efficiency and accuracy. Data Quality : Ensure data quality and consistency throughout the data pipeline, implementing necessary quality checks and validation processes. Requirements: 4+ years of experience with building GenAI solutions using Python and Langchain and AutoGen technologies. Agentic AI experienced developing agents using AutoGen and LangGraph frameworks. Prior experience in building GenAI solutions using effective text representation techniques and classification algorithms. Experience with ML – Model Building, Semantic extraction techniques, data structures and modelling Experience with Supervised/Unsupervised Learning, Sentiment Analysis, Statistical Analysis using NLP and Python libraries (NLTK, Spacy, Numpy, Pandas) Experienced in building Rest API’s Experience with building applications with micro services & serverless architecture Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow

Seeking a Senior AI Engineer with strong expertise in machine learning, deep learning, and model deployment to design and implement scalable AI solutions for complex business problems.

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

Job Title: AI/ML Engineer – (5 Years Exp) Location: Bangalore Duration: 1 year (Extendable) AI/ML Engineer with 5 years of experience for a contractual role based in Bangalore. Required Candidate profile Key Skills: Azure, GCP, Python, Generative AI, LLMs, RAG, Machine Learning, PyTorch/TensorFlow. Apply now to be part of a dynamic and innovative AI team.

Primary Skills (Must Have): Generative AI Expertise: Extensive experience in designing and implementing generative AI solutions, including knowledge of various generative models such as GANs, VAEs, and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. Proficient in prompt engineering, fine tuning, agentic framework, GenAI SDKs Proficient in Python , Langchain, Langgraph, Pytorch or Tensorflow. Proficient in the Mathematics behind the AI/ML algorithms. MLOps is added advantage. Proficiency in basic and advanced RAG techniques, auto evaluations of RAG outputs Azure Proficiency: Profound understanding and hands-on experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure AI Foundary, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). Ability to leverage Azure's capabilities to architect end-to-end AI solutions and optimize performance. Architecture Design: Strong architectural skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. Leadership and Collaboration: Exceptional leadership skills with the ability to lead cross-functional teams and drive architectural decisions. Proven experience in mentoring junior team members, conducting code reviews, and fostering a culture of innovation and collaboration. Problem-solving and Innovation: Strong analytical and problem-solving skills, with a track record of proposing innovative solutions to complex technical challenges. Ability to stay updated on emerging AI technologies, best practices, and industry trends to drive continuous improvement. Role & responsibilities : As a Gen AI Researcher, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Lead the design of architecture for generative AI solutions within the Azure/PCAI ecosystem. Collaborate with project managers, data scientists and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions. Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning. Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. Optimize AI models and systems for performance, scalability, and efficiency. Conduct regular code reviews and provide technical guidance to junior members of the team. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.

ROLE: AI/ML - GenAI Work Mode: Hybrid Location: Chennai Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Preferred skills: Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.