294 Agentic Ai Jobs - Page 5

Roles and Responsibilities 1. Model Development & Deployment Design, develop, and optimize machine learning and deep learning models for real-world applications (classification, regression, NLP, vision, recommendation systems, etc.). Train models using large datasets and evaluate their performance using appropriate metrics. Deploy models to production using tools like Flask/FastAPI, Docker, and cloud services (AWS/GCP/Azure). 2. Data Collection & Preprocessing Collect, clean, transform, and manage structured and unstructured datasets (CSV, JSON, images, text, etc.). Perform data wrangling, feature engineering, and exploratory data analysis (EDA). 3. Algorithm Research & Implementation Research and implement AI/ML algorithms suited to business use cases. Leverage existing libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and fine-tune pre-trained models when applicable. 4. NLP & Computer Vision (As per domain focus) For NLP: Build and integrate models for sentiment analysis, chatbots, text summarization, translation, and entity recognition. For Vision: Apply techniques for object detection, image classification, OCR, face recognition, etc. 5. API & Application Integration Create and manage APIs to expose AI model functionalities to frontend/backend systems. Integrate models into enterprise applications, dashboards, or web platforms. 6. Model Monitoring & Maintenance Monitor model performance over time, handle concept drift, and retrain models as needed. Maintain and document ML pipelines, model versions, and deployment logs. 7. Collaboration & Agile Participation Work in cross-functional teams with data engineers, frontend/backend developers, and product owners. Participate in Agile ceremonies like standups, sprint planning, and demos.

About Position: Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Role: GenAI Engineer Location: Bangalore Experience: 6-10 years Job Type: Full Time Employment What You'll Do: Worked on Voice AI / Digital Channels / Agentic AI applications using Playbooks, tooling, connectors, and data sources. Strong proficiency in Python for developing and deploying AI applications in a real-time production environment. Proven experience in designing and implementing agentic AI workflows, orchestrating multiple AI models and external systems. Worked on identification, design, and implementation of use cases for GCP Agents in contact centers to improve customer experience and operational efficiency. Understanding of customer service operations and contact centre technologies. Exposure GCP AI offerings and Google Dialog flow/Virtual agents exposure Expertise You'll Bring: Design, develop, and implement advanced conversational AI agents using Google Cloud Contact Center AI (CCAI) and other relevant GCP AI services (e.g., Dialogflow CX, Speech-to-Text, Natural Language AI). Leverage various GCP AI models to enhance agent capabilities, including intent recognition, entity extraction, sentiment analysis, and knowledge base integration. Ensure the secure handling of customer data, implementing robust measures to prevent exposure in chat interactions. Develop strategies and mechanisms to accurately extract customer conversations, even when speech is unclear or ambiguous. Integrate and configure different models offered by GCP for contact centre AI solution 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."

Key Responsibilities: Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects. Lead the development, deployment, and adoption of open source LLM models to do text classification, building sentiment models. Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and long-term business objectives. Collaborate with Data Engineering, Product and Technology teams on further build out of analytics architecture. Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines Translate insights into relevant business recommendations, anticipating the needs of business stakeholders. Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets Required Qualifications, Experience & Skills Education Bachelor's degree in computer science or Equivalent experience Experience 6 to 10 years Data Science experience covering ML, DL and GenAI 2+ years of experience building end-to-end data science applications using dash, Flask, Streamlit and Django etc. (Preferred) Skills Experience with building end-to-end data science applications Experience with NLP and LLM fine tuning Experience with cultural transformation to CI/CD and MLOps Experience with Azure MLOps or other SDLC tools Experience with Agile methodologies Experience building applications using fast APIs. Experience in a start-up, fast-growth, rapid-change environment Must be self-motivated, dedicated to quality and must always strive to do the right thing Preferred Qualifications: Experience with HTML, CSS, JavaScript, version control using Git. Experience with Containers and Kubernetes Experience with TensorFlow, Pytorch etc.

Open & Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist/Data Scientist AI/ML with GEN AI in Bangalore, Karnataka on 19th March [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI OR GEN AI Specialist We are hosting an Open Walk-in Drive in Bangalore, Karnataka on 19th March [Saturday] 2025 , and we believe your skills in GenAI Specialist/Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th March [Saturday] 2025Experience 5 year to 12 years Time: 9.30 AM to 4PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: As a GenAI Specialist AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

Project Role: AI/ML Lead Work Experience: 8 to 13 Years Work location: Bengaluru/Kochi Must Have Skills: Machine Learning, NLP, Deep Learning, AI, Python, GenAI. Job Description Develop/leverage fit for purpose AIML models/algorithms/foundation models/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 10+ years of experience in engineering roles with team management experience 6-8 relevant years experience on NLP, GenAI/LLM/Agentic AI, Machine Learning and Deep learning 6-8 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Extensive knowledge in leveraging GenAI/LLM for developing innovative solutions to complex business problems. Solid understanding of LLMs, including fine-tuning methodologies and deployment strategies. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Extend ML libraries and frameworks to apply in NLP tasks. Demonstrated experience in writing effective, scalable, and maintainable code Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Must have experience working with REST APIs, and frameworks like Flask API and Fast API. Experience with Django or Pyramid framework is a good to have Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

We seek a Senior Full Stack AI Engineer passionate about rapidly developing and demonstrating Agentic AI and workflow solutions. This role focuses on quickly translating innovative ideas into tangible Proofs of Concept (POCs), leveraging full-stack capabilities to build attractive user interfaces, integrate sophisticated AI agents, and deploy working solutions for impactful demonstrations. Key Responsibilities Rapid Agentic AI POC Development: Lead agile development of end-to-end Agentic AI and complex workflow POCs from concept to demonstration, ensuring rapid iteration and delivery. Design and implement multi-turn conversational Agents, Tools, and Chains. Full Stack Application Development: Develop attractive and intuitive front-end user interfaces (e.g., React, Next.js) and robust back-end APIs (e.g., FastAPI, Flask). Implement comprehensive testing strategies across the full stack. AI Orchestration & Integration: Utilize frameworks like Langgraph (or equivalents such as CrewAI, AutoGen) to orchestrate complex AI agent systems and multi-step workflows. Implement Agent-to-Agent (A2A) communication and adhere to Model Connect Protocol (MCP) for inter-model interactions. Apply advanced prompt engineering techniques. Deployment & Demonstration: Containerize applications (Docker) and deploy on Kubernetes for scalable POCs. Establish and utilize CI/CD pipelines for continuous integration and delivery. Prepare and deliver compelling technical demonstrations. Experience: 6+ years in ML + data engineering, with 2+ years in LLM/GenAI projects. Proven rapid prototyping track record. Technical Skills: Programming: Python, JavaScript/TypeScript (React, Next.js). AI/ML Fundamentals: LLMs, prompt engineering, Agentic AI architectures. Agentic AI & LLM Frameworks: Langgraph, CrewAI, AutoGen, A2A, MCP, Chains, Tools, Agents. Front-end: React, Next.js. Back-end: FastAPI, Flask. Databases: Vector databases (Pinecone, Weaviate), SQL/NoSQL. DevOps: Docker, Kubernetes (K8s), CI/CD, Testing. Cloud Platforms: AWS/Azure/GCP. Good to have: Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Familiarity with UI/UX design principles for creating engaging interfaces. Experience with asynchronous programming patterns in Python. Knowledge of caching mechanisms (e.g., Redis) for optimizing application performance. Understanding of general Machine Learning concepts and common algorithms beyond LLMs.

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

Are you prepared to take on a leadership role in driving innovation at the convergence of finance and technology An opportunity awaits for an experienced Product Leader to spearhead the vision, strategy, and implementation of cutting-edge banking software solutions. As the Product Leader, you will have a pivotal role in the entire product lifecycle, from conceptualization to retirement, by introducing impactful features that redefine banking processes. Leading a diverse team comprising Business Analysts, Project Managers, Engineering Heads, and Banking professionals, you will collaborate with Sales, Marketing & Partner teams to propel growth and achieve revenue targets. Your responsibilities include representing the voice of the customer within internal teams, fostering customer-centric innovations, and serving as a strategic thought leader in industry events and client interactions. The ideal candidate for this role should hold a BE (CSE/EEE), B.Tech, MCA, MBA (Banking), or CA qualification, with a profound understanding of the Banking Software Domain. You should possess proven leadership skills in managing teams of 50-200 individuals, along with expertise in Pre-sales, Data Analytics, and AI, including Agentic AI. Familiarity with AI tools will be considered a strong advantage. In this role, you will be entrusted with owning the end-to-end product lifecycle of Banking Products, driving innovation, and achieving positive outcomes. By comprehensively grasping customer pain points and financial operations, you will advocate for solutions that streamline workflows and eliminate friction. Your duties will involve envisioning customer needs, formulating and executing a multi-year strategy to address their critical banking product requirements. Furthermore, you will represent the customer's perspective within internal teams, clearly articulating their demands. Collaborating with the Product Engineering Team, you will explore innovative solutions that tackle existing challenges while aligning with the future vision. Engaging in customer calls with the sales team, you will provide expert product insights and facilitate successful deals. Your role will also entail making informed decisions to prioritize product roadmap features, collaborating with the marketing team to position the accounting solution effectively in the market, and ensuring seamless resolution of product-related issues in coordination with the support team. Additionally, you will serve as a domain expert for the Company's Banking Products at industry events, customer visits, and other outbound activities. As a leader, coach, and mentor, you will guide Business Analysts, Project Managers, and Engineering Managers in their professional growth and development. This position offers a dynamic opportunity to drive innovation, lead cross-functional teams, and shape the future of banking software solutions.,

As a Data Scientist at our company, you will be at the forefront of AI innovation, focusing on Agentic AI, cloud-based AI services, and immersive experiences in AR/VR. You will have the opportunity to work on cutting-edge projects spanning various industries such as retail, healthcare, gaming, and enterprise tech. Your main responsibilities will include building, deploying, and optimizing AI/ML models with a specific focus on Agentic AI and multi-agent coordination frameworks. You will also utilize Google Cloud AI and Azure AI Services for scalable training, inference, and deployment. Additionally, you will apply Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR settings. Collaboration with product, engineering, and design teams will be essential to bring AI-driven AR/VR applications to fruition. Experience with Multi-Cloud Pipelines for managing workflows in a hybrid cloud environment is required. You will be expected to continuously explore and experiment with emerging AI techniques in areas such as generative agents, prompt engineering, and memory-based systems. To excel in this role, you must possess at least 3-5 years of hands-on experience in AI/ML model development and deployment. Strong proficiency in Python and familiarity with frameworks like TensorFlow, PyTorch, or OpenCV are essential skills for success in this position. Join us in shaping the future of AI and immersive technologies across diverse industries, and be part of our dynamic team that is driving innovation forward.,

As a Senior QA Engineer at our company, you will be leading quality assurance for Generative AI (GenAI) solutions within our Digital Twin platform. Your role will involve focusing on the evaluation, reliability, and guardrails of AI-powered systems in production, going beyond traditional QA practices. Your responsibilities will include designing and implementing end-to-end QA strategies for applications using Node.js integrated with LLMs, RAG, and Agentic AI workflows. You will establish benchmarks and quality metrics for GenAI components, develop evaluation datasheets for LLM behavior validation, and conduct data quality testing for RAG databases. Additionally, you will perform A/B testing, define testing methodologies, collaborate with developers and AI engineers, build QA automation, and lead internal capability development by mentoring QA peers on GenAI testing practices. To be successful in this role, you should have at least 6 years of experience in software quality assurance, with a minimum of 3 years of experience in GenAI or LLM-based systems. You should possess a deep understanding of GenAI quality dimensions, experience in creating and maintaining LLM evaluation datasets, and familiarity with testing retrieval pipelines and RAG architectures. Preferred skills include experience with GenAI tools/platforms, exposure to evaluating LLMs in production settings, familiarity with prompt tuning and few-shot learning in LLMs, and basic scripting knowledge in Python, JavaScript, or TypeScript. If you are a passionate and forward-thinking QA Engineer with a structured QA discipline, hands-on experience in GenAI systems, and a strong sense of ownership, we encourage you to apply for this high-impact role within our innovative team.,

Job Title : AI Prompt Engineer Location: Fully Remote Work Hours: 4:00 PM to 1:30 AM IST with daylight savings (Till 3 PM CST) Experience Required: 2+ Years As a Prompt Engineer, you will design, evaluate, and refine prompts that drive intelligent behavior in AI-enabled features across our platform. You will work closely with data scientists, engineers, and product leaders to develop prompt frameworks and dialogue flows that power agentic orchestration, helping patients navigate complex health journeys. Role & responsibilities Architect reusable prompt templates for multi-turn conversational flows, including clarification, escalation, human-in-the-loop, and action triggering Work with engineers and data scientists to test and optimize RAG-based search prompts Create and maintain prompt libraries with robust versioning and testing frameworks Collaborate on agentic workflows that help agents act autonomously and intelligently across clinical, scheduling, and care navigation use cases Evaluate prompt performance using real-time analytics and partner with the data science team to iterate Support safe prompt handling of PHI, bias mitigation, and hallucination reduction Develop challenger agents and evaluation agents to confirm agent output and ensure safe and consistent messaging to MyBSWHealth customers Minimum Qualifications Bachelor's degree in Computer Science, Linguistics, Philosophy, Cognitive Science, or comparable experience in industry or a related field 2+ years working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production settings Experience with prompt engineering, RAG, or agentic AI architectures Familiarity with healthcare or other regulated industry - workflows, EHR systems, or clinical terminology is a plus Strong understanding of conversational UX and prompt evaluation metrics Experience with Pydantic AI python library and n8n workflow automation software suite preferred

Overview: Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs, and increase efficiency and productivity. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products and improve existing platforms to optimize the seamless delivery of our services. This is a hybrid position based in Pune. What You will Do: Develop and support scalable, maintainable software solutions utilizing .NET, Web API, Microservices, and Azure. Developing AI Agents Hands-on coding and development using .NET technologies for backend development. Build new applications/services/platforms. Refactor legacy components using innovative/scalable platforms. Work with large database schemas that include adding and updating tables and rows. Must have skills: Core Development: 8+ years of experience developing software using C#, .NET Core, Web API, Entity Framework Core, and SQL Server. Hands-on knowledge about using various agentic frameworks, MCP. Hands-on experience in building React Applications Azure Services: Experience with Service Bus, Functions, Managed SQL, Azure Storage, Key-Vault, Azure Load Balancer, API Management, App Service, Web Apps, Web Jobs, Azure Active Directory, Azure Monitor, Cosmos DB, Application Gateway, API Gateway, Azure Key Vault, PowerShell, JSON, Azure Analytics, Redis Cache. Familiarity with software design principles and architecture patterns, OOPS concepts. Hands-on experience in building C#.NET Core WebAPIs. Hands-on experience with testing frameworks such as xUnit. Design and build available, scalable, and maintainable software with security best practices.

Job Type: C2H (6 Months) / FTE ML engineering project experience: > 5 yr Python programming language > 5 yr LangChain framework > 1 yr MLOps experience on at least 3 projects & > 3 yr AI coding experience > 1 Yr CALL: 9916086641

Greetings!!! This is in regards to a Job opportunity for AI Lead - Agentic AI & RAG with Datamatics Global Services Ltd. Position: AI Lead - Agentic AI & RAG Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.

As a Data Scientist at Agentic AI | Cloud AI | AR/VR, you will play a crucial role in working on cutting-edge innovation across various verticals such as retail, healthcare, gaming, and enterprise tech. Your primary responsibility will be to build, deploy, and optimize AI/ML models with a specific focus on Agentic AI and multi-agent coordination frameworks. You will utilize Google Cloud AI and Azure AI Services for scalable training, inference, and deployment, while also applying Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts. Collaboration will be key in this role, as you will work closely with product, engineering, and design teams to bring AI-driven AR/VR applications to life. Additionally, you will be responsible for utilizing Multi-Cloud Pipelines for managing end-to-end workflows in a hybrid cloud setup, and continuously experimenting with emerging AI techniques in the realm of generative agents, prompt engineering, and memory-based systems. To excel in this role, you must possess at least 3-5 years of hands-on experience in AI/ML model development and deployment. Strong Python skills are essential, along with experience in frameworks like TensorFlow, PyTorch, or OpenCV. If you are passionate about exploring the next frontier of AI and eager to contribute to groundbreaking projects in the field of Agentic AI, Cloud AI, and AR/VR, then this opportunity is perfect for you.,

As a seasoned Artificial Intelligence and Machine Learning professional with over 6 years of experience, you will be responsible for leveraging your deep understanding of AI and machine learning algorithms, including large language models (LLMs) like Azure OpenAI and Mystral. Your proficiency in deploying LLM on On-Prem or local Server will be crucial in this role. In this position, it is mandatory for you to have a strong grasp of cloud platforms such as Azure for deploying AI solutions and utilizing existing AI capabilities of the cloud platform. Additionally, familiarity with Azure Container Registry, Azure Container Instance, and App Services will be essential. Your programming skills should include strong coding abilities in languages like Python, as well as experience in Fast API, Flask API creation, and integration of APIs from third-party tools such as SNOW and Sharepoint. Proficiency in UI development using Angular, Streamlit, HTML, CSS, and JavaScript will also be required. Expertise in TensorFlow, PyTorch, and other relevant AI/ML libraries to fine-tune models is a must-have for this role. Moreover, familiarity with monitoring tools like Solarwinds, Splunk, and NewRelic will be advantageous. As part of the Data Engineering aspect, you will need to create data flow diagrams and ensure data security at rest and in motion. Collaborating with the team to analyze business data, implement solutions, and ensure data security and compliance will also be part of your responsibilities. In terms of Solution Architecture, you should demonstrate the ability to design and implement scalable AI solutions tailored to business needs. This includes architecture, design development, and walkthroughs with customers. You will also be involved in designing hardware and software requirements to deploy AI solutions for On-Prem or Cloud environments. A good understanding of Multi-factor Authentication is essential for this role. Additionally, the ability to estimate costs for deploying AI solutions on Cloud Platforms will be beneficial. At Wipro, we are reinventing the future of technology. Join us in building a modern Wipro where constant evolution is encouraged. We are looking for individuals who are inspired by reinvention and are eager to realize their ambitions in a purpose-driven environment. If you are ready to design your own reinvention and be part of a business that values diversity and inclusivity, Wipro is the place for you. Applications from individuals with disabilities are encouraged and welcome.,

As a Pega Senior Programmer Analyst, you will play a crucial role in driving strategic business process management initiatives utilizing Pega technologies. You will be an integral part of a dynamic team, leading the development of complex, high-volume, and scalable Pega applications. Your responsibilities will include being an individual contributor overseeing a team of highly talented technical resources, managing all aspects of the project lifecycle, collaborating with IT vendors and business stakeholders to define requirements, develop functional specifications, design, estimate, build, and deploy Pega PRPC applications, as well as providing project oversight. Your role will require you to leverage your in-depth knowledge of applications development to analyze complex problems and issues, evaluate business and system processes against industry standards, and make insightful judgments. You will also consult with users, clients, and other technology groups on issues, recommend and implement programming solutions, and contribute to enhancing existing applications and infrastructure to align with IT commitments to the business. Furthermore, you will ensure adherence to essential procedures, help establish operating standards and processes, and serve as an advisor or coach to new or junior analysts. Minimum qualification requirements for this role include holding a Pega PCSSA certification and possessing a Bachelor's degree in Computer Science or equivalent. You are expected to have 8-12 years of hands-on experience working on Business Process Management solutions, showcasing expertise in Pega Infinity. Proficiency in application design and development using Pega Infinity 8.8.x or higher, as well as solid skills in SQL with experience in designing relational databases in Oracle, are essential. Hands-on experience with Pega Cosmos or Constellation is a must, and familiarity with Pega Smart Dispute, Pega DX APIs, and Agentic AI will be advantageous. Knowledge of cloud technology or Pega deployment on containers is a plus, and experience in Agile methodology is beneficial. Additionally, holding at least a Pega CSSA certification is required. In terms of business skills, you must demonstrate strong communication, problem-solving, collaboration, leadership, and project management abilities. You should be comfortable working in a team environment, providing project status reports, and presenting solutions to peers and business groups. Your role will also require you to work effectively under pressure, manage deadlines, and adapt to unexpected changes in expectations or requirements. Acting as a mentor and providing technical guidance to new or junior analysts will be part of your responsibilities. This job description offers a comprehensive overview of the primary responsibilities associated with the role of a Pega Senior Programmer Analyst. While additional job-related duties may be assigned as necessary, you will primarily focus on driving Pega technology initiatives, collaborating with various stakeholders, and ensuring the successful development and deployment of Pega applications.,

Job Title: AI Ops Engineer Experience: 35 years About the Role We are seeking a hands-on and proactive AI Ops Engineer to operationalize and support the deployment of large language model (LLM) workflows, including agentic AI applications, across Marvell’s enterprise ecosystem. This role requires strong prompt engineering capabilities, the ability to triage AI pipeline issues, and a deep understanding of how LLM-based agents interact with tools, memory, and APIs. You will be expected to diagnose and remediate real-time problems, from prompt quality issues to model behavior anomalies. Key Responsibilities Design, fine-tune, and manage prompts for various LLM use cases tailored to Marvell’s enterprise operations. Operate, monitor, and troubleshoot agentic AI applications , including identifying whether issues stem from: Prompt quality or structure Model configuration or performance Tool usage, API failures, or memory/recall issues Build diagnostics and playbooks to triage LLM-driven failures , including handling fallback strategies, retries, or re-routing to human workflows. Collaborate with architects, ML engineers, and DevOps to optimize agent orchestration across platforms like LangGraph, CrewAI, AutoGen, or similar. Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, or Confluence using REST APIs, webhooks, and adapters. Implement observability and logging best practices for model outputs, latency, and agent performance metrics. Contribute to building self-healing mechanisms and alerting strategies for production-grade AI workflows. Required Qualifications 3–6 years of experience in software engineering, DevOps, or ML Ops with exposure to AI/LLM workflows. Strong foundation in prompt engineering and experience with LLMs like GPT, Claude, LLaMA, etc. Practical understanding of AIOps platforms or operational AI use cases (incident triage, log summarization, root cause analysis, etc.). Exposure to agentic AI architectures , such as LangGraph, AutoGen, CrewAI, etc. Familiarity with scripting (Python), RESTful APIs, and basic system debugging. Strong analytical skills and the ability to trace issues across multi-step pipelines and asynchronous agents. Good-To-Have Glean DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Role & responsibilities Preferred candidate profile

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 managementRole & responsibilities

Job Title: AgentOps Lead Champion Location: Flexible (India/Bengaluru preferred) Team: GrowthTech | AI Enablement | Marketing Ops Reports To: VP, Growth & Intelligence Systems Role Overview LakeB2B is seeking a strategic, hands-on AgentOps Lead to drive the next wave of AI agent innovation across marketing, sales, and customer success functions. You will lead the development, deployment, and continuous optimization of LakeB2B’s proprietary AI agents and data science products, unlocking growth across our internal operations and for our external clients. This is a hybrid role at the intersection of data science, AI agent orchestration, and B2B growth. You’ll lead high-performing teams, collaborate cross-functionally, and turn 1.1B+ records into intelligent, scalable agent solutions that fuel the revenue engine. Key Responsibilities AI Agent Deployment & Intelligence • Architect and operationalize LakeB2B’s proprietary agent suite including ICP GPT, Lead GPT, Data GPT, Campaign Co-Pilot, and Company GPT. • Manage prompt engineers and agent trainers to create, refine, and QA agents tailored to vertical-specific use cases. • Integrate agents with LakeB2B’s proprietary datasets (730M contacts, 340M firmographics) for real-time personalization. Performance & Data Strategy • Develop advanced performance dashboards to measure agent impact (leads, response rates, conversions) and identify top-performing datasets. • Work with campaign managers and data teams to pilot successful agent use cases and surface actionable data patterns. • Apply natural language processing (NLP), computer vision, or predictive analytics techniques to improve agent intelligence and user value. ML & Data Science Productization • Design and implement advanced ML models and AI-driven algorithms for use in both internal ops and external data products. • Build predictive models, customer segmentation tools, recommendation engines, and data enrichment layers to supercharge campaign outcomes. • Collaborate with product, sales, and engineering teams to develop data-powered solutions for clients. Data Operations & Infrastructure • Lead efforts in data cleansing, deduplication, identity resolution, and enrichment to improve accuracy and usability of data products. • Build and automate robust data pipelines for efficient processing, modeling, and delivery of AI and ML solutions. • Continuously monitor, evaluate, and refine models for accuracy, impact, and ethical use. Cross-Functional Collaboration & Governance • Coordinate with IT, data science, and AI vendors to ensure data readiness, security, and responsible AI practices. • Document agent behavior, model assumptions, and data workflows; communicate findings clearly to internal and external stakeholders. Key Skills & Requirements Must-Have: • Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, or related fields • 6+ years in B2B marketing ops, product, AI deployment, or sales enablement (with at least 3+ in a data science/ML/AI role) • Strong command over Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R • Deep understanding of supervised/unsupervised ML algorithms and deep learning methods • Familiarity with NLP, recommendation systems, clustering, regression, and classification techniques • Experience with large-scale datasets, ETL workflows, and real-time data enrichment • Hands-on experience with AWS, Azure, or GCP • Familiarity with big data platforms like Spark, Hadoop (preferred) • Experience working with CRM systems, multichannel campaign tools, or outbound GTM stacks • Exceptional analytical thinking and business translation skills Nice to Have • Experience building LLM-based agents and hyper-personalized outbound automations • Exposure to growth marketing, ABM, or performance marketing strategies • Experience in building AI-first external client-facing products • Prior work in SaaS or B2B data firms Role & responsibilities Interested Candidate share your resume to thirumala.j@championsmail.com

We are seeking a highly skilled AI/ML Engineer with a solid foundation in Machine Learning and deep hands-on experience in Generative AI (GenAI). Agentic experience is must.

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis Role & responsibilities

Job Description: About the Role We are seeking a passionate and skilled Data Scientist to join our innovative team. The ideal candidate will have a strong foundation in data science and artificial intelligence, with hands-on experience or strong understanding in cutting-edge technologies like Agentic AI , AR/VR , and Multi-Cloud Pipelines (MCP) . Key Responsibilities: Develop, implement, and maintain machine learning models and AI-driven solutions. Work with large and complex data sets to derive actionable insights and predictions. Explore and contribute to Agentic AI systems where autonomous decision-making and adaptive learning are key. Collaborate with cross-functional teams to integrate AI with AR/VR experiences . Design and optimize Multi-Cloud Pipelines (MCP) for scalable data ingestion, transformation, and model deployment. Key Skills: Data Scientist, AI, Agentic AI, AR/VR, MCP Location: Gurgaon.

Responsibilities: H1B Filling for(Year 2026) Software developer , AI ML & GCP Engineers with 10 years plus experience Candidates need to take hacker rank and problem solving skills test Interested Candidates can share resume info@ahcommere.com Health insurance Annual bonus