219 Rag Jobs - Page 2

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Notice Period: Maximum 30 days Location: Bangalore, Chennai, Kolkata, Pune, and Hyderabad Note: Candidates based in Hyderabad must attend in-person interviews for the second round. Role Summary: Generative AI Specialist Mandatory Skills: Gen AI, LLMs, ML/DL/NLP, RAG, LangChain, Mistral, LLaMA, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DBs Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (e.g., Kubeflow, MLflow), Kubernetes, GitHub/Bitbucket, Azure DevOps, GPT-4 Responsibilities: Design, develop, and deploy generative AI solutions using modern ML/DL techniques. Work with large-scale datasets; handle preprocessing and model optimization. Build applications using LLMs and frameworks like LangChain, leveraging models like Mistral, LLaMA, GPT-4. Research and implement cutting-edge GenAI algorithms and architectures. Ensure Responsible AI compliance and monitor model performance post-deployment. Collaborate with cross-functional teams for solution integration and data engineering. Drive innovation by staying up to date with AI trends. Provide technical leadership, mentorship, and contribute to project governance and stakeholder communication. If you meet the requirements and are looking for a new opportunity, we'd love to hear from you! Interested candidates can send their resumes to admin@spearheadps.com OR Contact us via call/WhatsApp at 9899080360

8+ yrs of exp with min 3 years on building, training & deploying AI/ML models in a production environment. Will lead end-to-end design, development, prototyping, deployment of custom AI & Machine Learning models that address specific client need Required Candidate profile Hands-on exp in designing & implementing Retrieval-Augmented Generation (RAG) systems using modern frameworks like LangChain or LlamaIndex & vector databases (e.g., Pinecone, Chroma). Perks and benefits Connect at +91 7975273124 / Prakrity@workoid.in

Job Details: Position Title : AI Engineer Azure AI & Copilot Development Job Locatio n: Remote/Hybrid/Onsite Experience : 3-6 years. Job Summary We are looking for an AI Engineer to join our team and help us build intelligent solutions using Azure AI Foundry , Semantic Kernel , and Azure OpenAI . You will work on projects involving large datasets, smart copilots, and AI-driven automation for enterprise use cases. KEY RESPONSIBILITIES: Design and build intelligent agents using Azure AI Foundry and Semantic Kernel . Integrate LLMs (GPT-4, GPT-3.5) with enterprise data using Azure Cognitive Search and vector-based retrieval . Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data. Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling . Connect to and query data sources like Azure SQL, Synapse, Cosmos DB , and Data Lake using APIs or SDKs. Collaborate with frontend/backend teams to embed copilots in React or .NET-based applications. Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration. Deploy and secure solutions using Azure App Services, Containers , and Azure AD authentication . SKILLS & QUALIFICATIONS: Hands-on experience with Azure OpenAI , Cognitive Search , and Semantic Kernel . Good understanding of LLM-based agents , prompt engineering, and tool-use workflows. Proficiency in Python or .NET Core for backend development. Familiarity with REST APIs , data transformation , and cloud pipelines . Experience with cloud integration on Azure . Nice to Have Prior experience building copilots, chatbots, or knowledge assistants. Exposure to multi-agent architectures or agentic AI . Microsoft certifications (AI-900, AI-102, DP-203) are a plus. Why Work With Us Work on cutting-edge AI, Agentic AI, and Generative AI solutions. Flexible work setup with a fast-paced innovation culture. Exposure to real-world enterprise challenges and global client projects. Perks & Benefits Health & Accident Insurance Paid Leaves and Sick Leaves Education sponsorship / Certification Reimbursement Free Training Platforms Gym membership EPF, Gratuity. US Based Clients Onsite Opportunities to US.

Work Location: Chennai/ Bangalore Shift: General Shift Mandatory Skills: Gen AI, LLM, RAG, Lang chain, Llama, AI/ML, Deep Learning, Python, Tensorflow, Pytorch, Pandas, Prompt Engineering, Vector DB, MLOps Preferred Skills: AWS or GCP or Azure Cloud, GPT-4, SQL, Fast API/ API Development, Docker/ Kubernetes, Hadoop, Spark or Apache Flink Data Pipeline, Banking exposure. Job Description / Roles & Responsibilities (in Detail) : Educational Background: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Programming Languages: Proficiency in Python, R, API development - Python/Fast API. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras etc. Gen AI & RAG: Experinced in GEN AI Models, Langchain/Langflow and Prompt Engineering Machine Learning: Strong understanding of machine learning algorithms, Deep Learning / Neural networks & Transfer Learning, Data Science: Experience with data analysis, data visualization, and statistical modeling. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink or similar Data pipelines. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions if good to have. Awareness on applied statistics, Experinced in Algorithms, Model development / evaluation and Data Preprocessing Exposure to ML Ops & Awareness of Containerisation with Docker/ Kubernetes Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Dear Candidate, We at TATA Technologies looking for an experienced candidate for Gen AI/ML lead role for Pune location. Please check the below JD, if matches to your profile please share your resume on sayali.yadav@tatatechnologies.com Job Title: Gen AI/ML Lead Total Experince: 6-8 Years Location: Pune Notice Period: Immediate-30 Days Role & responsibilities: Define and lead the Gen AI/ML strategy, aligning with organizational goals. Architect and oversee the development of intelligent chatbots for HR, Finance, and People Supply Chain functions. Lead initiatives to integrate in-context AI capabilities into existing applications to enhance user experience and productivity. Drive the development and deployment of Agentic AI solutions for autonomous and decision-support systems. Mentor and guide the AI/ML team, fostering innovation and collaboration. Collaborate with stakeholders to understand business needs and translate them into AI/ML solutions. Stay updated on the latest advancements in AI/ML to ensure cutting-edge implementations. Qualifications: Bachelors degree in computer science, Artificial Intelligence, Machine Learning, or related field. 6+ years of overall experience in SW development, with at least 3 years in a AI/ML development leadership role. Proven expertise in chatbot development, NLP, and contextual AI technologies. Strong understanding of ML frameworks (TensorFlow, PyTorch) and cloud AI services (AWS, Azure, Google Cloud). Exceptional problem-solving and strategic thinking abilities. Excellent communication and stakeholder management skills. Generative AI, Azure OpenAI Service, Azure Cognitive Search / Azure Search Service Preferred Technical Skills: Vector Database, Embeddings (OpenAI / Azure-based), ChatGPT / GPT-4 / GPT Models, Retrieval-Augmented Generation (RAG), LangChain, RESTful API development, OpenAI API, Prompt Engineering, Azure Machine Learning (Azure ML), Azure DevOps (ADO)Kubernetes / Docker (for AI microservices, Git & CI/CD Pipelines, Experience with cloud-native architecture (preferably in Azure), Experience leading AI engineering teams

About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai, Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelors or Masters degree in Computer Science, Machine Learning, Data Science, or related field (Ph.D. is a plus) Minimum of 5 hands-on ML/AI projects, preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy, and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering Why Join Us: Work on impactful, real-world AI challenges Collaborate with a passionate and innovative team Opportunities for career advancement and learning Flexible work environment (remote/hybrid options) Competitive compensation and benefits

About Position: We are conducting an in-person hiring drive for the position of GenAI Developer / Sr. GenAI Developer in Hyderabad. We are looking for an experienced and talented GenAI Developer/Sr. Gen AI Developer to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Agentic AI Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: GenAI /Sr.GenAI/ RAG / LLM Engineer Interview Location: Gate 11, Argus Block-Sattva Knowledge City, 6th Floor Beside T-hub, Silpa Gram Craft Village, Madhapur Rai Durg, Hyderabad, 500081 Experience: 4 Years-8 Years Job Type: Full Time Employment Note: After joining candidate can work from AII PSL Locations What You'll Do: Develop and fine-tune LLMs for real-world use cases Build and optimize RAG pipelines using Langchain or similar tools Integrate GenAI capabilities into enterprise applications Hands on Python coding exp Work with vector databases and embedding techniques Collaborate with cross-functional teams on AI-driven features Expertise You'll Bring: 4+ years of experience working with data science. Strong proficiency in prompt Engineering and Lang chain and Fast API Experience in Microservices (Fast API), RAG and OpenAI Experience with ML/Ops technologies Understanding of machine learning fundamentals, optimization techniques, generative AI, NLP, LLMs, and Retrieval-Augmented Generation (RAG). Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Python, PyTorch/TensorFlow LLMs (OpenAI, LLaMA, HuggingFace) RAGframeworks (Langchain, LlamaIndex) FAISS, Weaviate, Pinecone Cloud (AWS/GCP/Azure Databricks) Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Must Have: 1. Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. 2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. 3. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. 4. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) 5. Excellent verbal and written communication skills, 6. Excellent analytical and problem-solving skills 7. Degree in Computer Science, Engineering or relevant field is preferred. 8. Proven Experience as Data Analyst or Data Scientist Good To Have: 1. Familiarity with Hive, Pig and Scala 2. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc 3. Experience with using cloud technologies on AWS/ Microsoft Azure "

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