294 Agentic Ai Jobs - Page 7

Role & responsibilities Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP). Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python. Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications. Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs. Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines. Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures. Define and uphold best practices for AI governance, cost optimization and robust performance monitoring. Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications. Design and maintain comprehensive monitoring and logging systems for AI-powered solutions. Collaborate with cross-functional teams including data scientists, ML engineers and software developers to seamlessly integrate AI across the product landscape. Document technical specifications, system workflows and development best practices. Preferred candidate profile Extensive experience in AI implementation incorporating generative models and agentic AI workflows. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is preferred.

About us Exotel is one of Asias largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best-in-class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, ICICI, IDFC, Redbus, Flipkart, Quikr, Practo, Lazada, Redmart, etc. to name a few. We are a 9-year-old company with humble beginnings. We started as a 3-member team. Currently, we are a 120-member team catering to over 3000 customers across the globe. Our technology has connected over 400 million people across the world and powered over 10 billion conversations. Read our growth story here. Tech @ Exotel Exotel Engineering solves some really cool infrastructure-level problems with the goal of ensuring no one misses a call or an SMS. Our focus is on building a very fault-tolerant, loosely coupled, scalable and real-time distributed system We are generally agnostic of language, technology or tools. Currently, our tech stack is built on Golang, Node.js, Ruby, Java and PHP. We use Aerospike, and MySQL as data stores, ElasticSearch for search and Beanstalkd for queuing We emphasize a lot on clean abstractions of code, loosely coupled services and good coding practices We are very strong believers in "you built it, you own it!". And running a distributed system is very different from just building one! We are crazy about high availability What are we looking for? We are looking for candidates with strong programming skills, and a strong understanding of computer/distributed systems. We want people who love designing and building infrastructure components and large complex services. Being a Software Engineer at Exotel takes a bit more than the following Must-haves Bachelor's or Master's degree in computer science or equivalent. Experience working with major cloud solutions AWS (preferred), Azure, and GCP. Familiarity with 3-Tier, microservices architecture and distributed systems Experience with the design & development of RESTful services Experience with developing Linux-based applications, networking and scripting. Experience with different data stores, data modelling and scaling them Familiarity with data stores such as Aerospike, MySQL, Mongo-db etc. 3 to 5 years of experience with Python, Gen AI, Agentic AI, building dedicated chatbots, RAG, LLMs Good understanding of data structures, multi-threading and concurrency concepts. Experience with DevOps tools like Jenkins, Ansible, Kubernetes, Git is a plus. Familiarity with elasticsearch queries and visualization tools like grafana, kibana Strong networking fundamentals: Firewalls, Proxies, DNS, Loadbalancing, etc. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Team player, flexible, and able to work in a fast-paced environment. A "devops" mindset. You own what you will develop. Other expectations: Willingness to explore and learn new technologies on the Job Take end-to-end ownership of software development lifecycle in a DevOps as a culture setting: Design, Development, Deployment and Monitoring Independently deliver software work products by working with stakeholders(PMs, Architects and team leads)

Looking for an AI/ML Engineer to build smart automation solutions. Must have experience in Python, Node.js, or Java scripting, and strong knowledge of ML/AI techniques and model integration. Required Candidate profile AI/ML Engineer with 4–8 years of experience in developing intelligent testing solutions. Skilled in Python/Node.js/Java, ML model deployment, automation frameworks, and cloud platforms.

LOCATION-BENGALURU, CHENNAI,PUNE NOTE- Immediate Joiners only Core Qualifications 12+ years in software & data architecture with hands-on delivery. Agentic AI & AWS Bedrock (Must-Have): Practical experience designing, deploying, and operating Agentic AI solutions using AWS Bedrock & Bedrock Agents. Cloud-Native AWS Expertise: Deep knowledge across compute, storage, networking, and security. Modern Architectures: Proven success in defining stacks for microservices, event-driven systems, and data platforms (e.g., Snowflake, Databricks). DevOps & IaC: Skilled in CI/CD pipelines and Infrastructure as Code using Azure DevOps & Terraform. Data & Integration: Strong in data modeling, REST/GraphQL API design, ETL/ELT, CDC, and messaging integration. Stakeholder Engagement: Excellent communicator with ability to align tech solutions to business outcomes. Preferred: Experience in media or broadcasting. Familiar with Salesforce or enterprise iPaaS platforms. Certifications: AWS/Azure/GCP Architect, Salesforce Integration Architect, TOGAF Have questions? I'm happy to help just connect with me on 9899080360, email- admin@spearheadps.com

Data Science Consultant Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Consultant on our Data Science Team in Bangalore. What youll achieve SRS Automation is an innovative team aiming to streamline and automate manual heavy processes within the Dell Sales Renewals organization. The team employs creative technologies tailored for each project requirement including RPA, Python, Database query, generative and agentic AI, microservice development and PowerBI for reporting. Dell data security and solid coding standards and procedures are a critical part of how we operate. The team has a large portfolio of automated solutions that are both developed and maintained to ensure continuous efficiency delivery. As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Develop and fine-tune domain-specific language models using LLMs Build agents that work with LLMs and agentic workflows Perform data analytics and present findings effectively Integrate applications and ensure seamless functionality and collaborate with team members and work independently Research and stay up-to-date with the latest developments in AI and Ensure adherence to security and coding standards Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Heres what we are looking for with this role: Essential Requirements 12 to 15 years of related work experience in Data Science. Proficiency in Python programming Experience with application integration Knowledge of transformers and LLMs. Solid data analytics skills and ability to present findings Ability to fine-tune LLMs for domain-specific language and experience in building agents and agentic workflows Desirable Requirements Solid knowledge of Azure Work experience in a DevOps RPA team Who we are We believe that each of us has the power to make an impact. Thats why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 31-Jul-2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. If Interested, please apply using the link : https://dell.wd1.myworkdayjobs.com/External/job/Bangalore-India/Consultant--Data-Science--I9-_R270197

Job Description: Knowledge of Python , AI concepts, LLM, Semantic Kernel, LanGraph Strong software engineering experience with Python Hands-on experience with agentic AI concepts and tools Familiarity with LangChain, Semantic Kernel, CrewAI, or LangGraph Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows Ability to design scalable, modular, and enterprise-grade solutions across BUs and functions Cloud platform experience with Azure or AWS Strong understanding of prompt engineering, tool calling, and agent orchestration Strong communication and problem-solving skills Designing, developing, and deploying LLM agents, Agent design & orchestration ,LLM & tool integration, AI / Agentic AI framework & platform implementation,Testing, evaluation & guardrail implementation.

Lead Data Scientist role.Agentic AI Work Location- Hyderabad/ Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*Responsibilities: Develop machine learning models using Python & NLP techniques. Optimize data pipelines for efficiency & accuracy. Collaborate with cross-functional teams on product development.

Key Responsibilities: Architect and implement advanced AI solutions leveraging LLMs (and otheremerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI). Develop and refine AgenticAI systems focusingon planning, memory,tool utilization, and dynamic task critic execution. Engineer and optimize prompt engineering pipelines to achieve superioraccuracy and low latency across diverse applications. Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations. Collaborate with cross-functional teams to deliverproduction-grade solutions that create tangible value. Stay ahead of the curve by integrating emergingGenAI research and state-of-the-art capabilities into practical, real-world systems. Lead projects and mentor junior engineers, contributing to a culture of innovation and growth Required Qualifications: Experience: 3-8 years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real world application development. Technical Proficiency: Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow). Core Knowledge: Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate). Prompt Engineering Mastery: Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions. Agentic AI Acumen: Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage. \ Mindset: A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast paced, iterative environments Role & responsibilities

Role Overview: We are looking for a Lead Data Scientist / AI Solution Architect to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with Azure Cloud , LLMOps , Containerized environments , and Generative AI technologies. This is an onsite role based in Pune , offering you the opportunity to collaborate closely with cross-functional teams on impactful projects. Key Responsibilities: Architect and implement end-to-end AI/ML solutions using Azure AI/ML services Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) Work with containerized deployments using Docker and orchestration tools like Kubernetes Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.) Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems Drive model monitoring, versioning, and responsible AI practices Document technical architecture, decision-making, and knowledge transfer Required Skills & Qualifications: 5 to 7 years of experience in Data Science / AI / ML solution development Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, AI Foundry etc.) Experience working with LLMs , prompt engineering, and fine-tuning techniques Proven experience with containerized environments (Docker, Kubernetes) Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.) Solid understanding of LLMOps/MLOps lifecycle and best practices Excellent communication, stakeholder management, and team collaboration skills Must Have: Hands-On LangChain, Hugging Face APIs, or Azure OpenAI APIs Strong knowledge of Azure Cognitive Services, Machine Learning Studio, Azure AI Search, AI Foundry Strong Knowledge of basic hygiene principles Git, Clean Code, Unit Testing, Jira, DevOps etc. Good to Have: Experience with Databricks Familiarity with Azure CI/CD pipelines Prior experience working in a startup or fast-paced product environmentRole & responsibilities

Role & responsibilities AI ML Engineer Location: Bangalore/ Hyderabad Skills: Generative AI, LLM, Python, PyTorch, TensorFlow, Agentic AI

RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the PropTech domain. Our Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities. As part of our team, youll contribute to RealPage’s AI go-tomarket (GTM) strategy, creating cutting-edge solutions that empower our users and clients. We are seeking a Senior Full Stack AI Developer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will fine-tune pre-trained foundation models, apply promptengineering and RAG techniques, utilize Agentic frameworks, and work closely with design and product teams to create impactful AI solutions that support our business objectives and transform user experiences. PRIMARY RESPONSIBILITIES Agentic AI Engineering: Evaluate and utilize appropriate language models (e.g., GPT-4, LLaMA, Gemini, Claude) to develop AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics and copilots, agents, and beyond. Assess and utilize appropriate AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and Agentic frameworks based on project needs. Master Prompt Engineering: Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Tailor Full User Experience: Capable of writing code for UIs (React / Vue / Svelte etc) and integrations (REST, gRCP, MCP). Establish Evaluation Frameworks: Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Leadership and Mentorship: Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Stakeholder Communication: Translate complex needs into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Cross-Functional Collaboration: Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts, to create integrated Agentic AI experiences. Stay Current in AI Advancements: Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvement. Not being shy about doing PoCs and prototypes. Understand Business Needs: Cultivate a growth mindset, build an understanding of RealPages business processes, products, and challenges to better align AI solutions with organizational goals. REQUIRED KNOWLEDGE/SKILLS/ABILITIES Degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent industry experience. 6+ years in software engineering and/or Data Science, with at least 2 years in Generative AI, transformers, and large language models (LLMs). Strong proficiency in Python with modern Python tooling (e.g., Pydantic, FastAPI, asyncio), JavaScript, TypeScript and SQL, experience in writing production-grade code. Proficiency in prompt engineering to enhance model output reliability and quality. Familiarity with Vector embeddings, RAG architectures and Agentic frameworks for sophisticated generative AI applications. Expertise with cloud platforms for AI (AWS, GCP, Azure) and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD practices. Demonstrated ability to lead projects and mentor team members in Agile environments, driving collaboration and fostering team effectiveness. Exceptional communication skills to effectively convey complex technical subjects to both technical and non-technical stakeholder

Job Overview We are seeking a highly experienced Senior AI Developer with extensive expertise in the latest generative AI (GenAI), agentic AI, and other cutting-edge artificial intelligence technologies. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments. This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology. ________________________________________ Key Responsibilities Advanced AI Development: Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications. Research & Innovation: Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities. Collaboration & Integration: Work closely with cross-functional teamsincluding data scientists, software engineers, and product managers—to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms. Code Quality & Mentorship: Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence. Performance Optimization & Scalability: Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy. ________________________________________ Required Qualifications Experience: Extensive industry experience in AI development, with a strong portfolio that demonstrates proficiency in generative AI and agentic AI applications. Technical Skills: AI Frameworks & Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging generative AI platforms. Programming Languages: Proficiency in Python, with exposure to additional languages like Rust or C++ considered a plus. Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. Core Competencies: Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. Excellent communication skills for effective collaboration across diverse teams. Familiarity with Agile methodologies and best practices in software development. ________________________________________ Preferred Qualifications Advanced degrees (Master’s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud). Proven track record of contributing to AI research publications or patents in the field of generative and agentic AI. Knowledge of ethical AI practices and ensuring model fairness, transparency, and accountability.

Responsibilities: * Develop computer vision models using generative AI techniques. * Optimize model performance through LLM integration. * Collaborate with cross-functional teams on project delivery. Share your resumes to sruthi.gali@liftu.tech

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

AI/ML Engineer Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API NOTE: ONLY REGISTERED CANDIDATES WILL ALLOWED TO PARTICIPATE IN THE WALKIN DRIVE https://lnkd.in/gfXVUE8U Location: Hyderabad Walkin Date: 5th July 2025 Time: 11:00 am to 3:00pm

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

AI/ML Associate Architect Basic Skills ( Must-Haves): 8+ years of experience in Designing and architecting solutions with artifacts and technical documents using LLM, Generative AI, RAG, and Agentic AI applications. Strong understanding of LLM, Generative AI, RAG, and Agentic AI applications. Creating detailed technical designs and documentation that accurately reflect the proposed solution and its components. Developing and implementing various types of solutions using programming languages such as Python, .Net , Java etc. Working with data scientists, engineers, and other stakeholders to understand and implement machine learning algorithms such as regression, classification, and clustering. Also design and implement machine learning models and algorithms. Excellent problem-solving skills and ability to think critically about complex systems. Experience working with cloud platforms such as Azure Cloud or AWS Cloud. Preferred Responsibilities (Nice-to-Haves): Possessing a certificate in ML (Machine Learning) and an Architect Certificate in Azure Cloud or AWS Cloud. Provide training and support to internal stakeholders on AI technologies and solutions Strong communication and collaboration skills, with the ability to work effectively in a team environment. Any Other: Experience working with large datasets and data processing tools, such as Spark or Hadoop. Familiarity with Agile development methodologies and version control systems, such as Git. Strong leadership, communication, and teamwork skills. Ability to learn quickly and adapt to new technologies. Key Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects to demonstrate AI-powered solutions Collaborate with sales teams to identify new business opportunities and develop go-to-market strategies Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications. Leading teams on the latest AI tools and solutions, mentoring junior architects and developers, and providing guidance on best practices

Role & responsibilities AI/ML Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Preferred candidate profile

Title- AI Engineer Experience - 4 to 6 Years Location - Noida Sec 126 Note-We are looking for a candidate who can Join within July and or having maximum 1 month of Notice period Skills Python Agentic Frameworks AI Models LangGraph Agentic workflows Vector Database AI/ML LLM RAG CrewAI Project Highlights We are seeking a Senior Agentic AI Engineer to lead the design and development of an enterprise-grade Agentic AI framework. This framework will empower various business units across the organization to build intelligent, autonomous agents capable of handling complex workflows, using tools, interacting with APIs, and making decisions with minimal human intervention.This role requires deep expertise in architecting scalable, modular AI systems using LLMs, tool integration, memory systems, and agent orchestration. This role is ideal for someone who has hands-on experience with agentic AI frameworks like LangGraph, CrewAI and AutoGPT and a deep understanding of enterprise software engineering and system architecture. Roles and Responsibilites Architect and build a reusable, secure, and scalable Agentic AI framework that can be adopted by multiple teams across the enterprise. Define standards, patterns, and abstractions for building intelligent agents using LLMs and other foundational models. Leverage and extend frameworks like LangGraph, CrewAI, or Semantic Kernel to enable advanced agentic capabilities such as (Long-horizon task planning, Tool calling (APIs, databases, RPA, internal services), Memory persistence and retrieval (via vector stores or knowledge graphs),Autonomous decision-making and reflection,Multi-agent orchestration and collaboration, Human-in-the-loop workflows,Monitoring and observability,Governance and compliance,Security and access control,Performance optimization and cost management Collaborate with cross-functional teams to ensure the framework aligns with enterprise-grade expectations. Integrate the framework with existing enterprise platforms. Conduct research and stay updated on the latest advancements in Agentic AI, LLMs, and related technologies. Mentor and guide junior engineers in best practices for building agentic systems. Coach and guide engineering teams in adopting and extending the framework. Requirements 4 -6 years of software engineering or AI/ML experience, with 2+ years in agentic or LLM-based system design. Hands-on experience with LangGraph, CrewAI, AutoGPT, BabyAGI, or similar frameworks. Proficiency in Python and common AI/LLM libraries (LangChain, OpenAI API, Hugging Face, etc.). Strong grasp of agent lifecycle, orchestration, and autonomy patterns (e.g., ReAct, Plan-and-Execute, hierarchical agents). Experience in integrating LLM agents with tools (APIs, search, file systems, databases) and managing secure, compliant interaction models. Solid understanding of vector stores , memory architectures, and context management strategies. Experience deploying agentic frameworks in large-scale enterprise environments (finance, telecom, healthcare, etc.) and Knowledge of LangGraph's stateful workflows will be a plus. Benefits Of Working With Us Opportunities to work in Latest Technologies. Challenging / Complex Development Projects. Working with Large clients. Strong Development & Delivery Processes. Focus on Learning and Development. Send your profile to: nikita.gautam@innovationm.com or you can connect over linkedin:- https://www.linkedin.com/in/gautamnikita/

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Contact Recruiter: Anishma Alexen Walkin Date: 5-July-2025 Time: 11:00 am to 3:00pm Years of experience: 4 to 10 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad . Skillset: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Kindly complete the registration process as it mandate for participation Registration Link: https://lnkd.in/gfXVUE8U

Design, implement, and evaluate data-driven solutions using advanced machine learning and Agentic AI frameworks. Work on LLM-based architectures, including prompt engineering, memory systems, and agent orchestration (e.g., LangChain, AutoGPT).

RPA Training Internship and Job Assistance at VishvaVidya We are excited to announce a 3 - 6-months RPA Training Internship opportunity at VishvaVidya! This program is designed to provide hands-on experience in Robotic Process Automation (RPA), a Certificate of Internship, and job assistance upon completion. Position: RPA Intern Location: Pune (Work from Office) Duration: 3-6 months Stipend: Unpaid Pre-Placement offer based on performance: CTC Starting From 2.5LPA Training and Internship Fee: Free of cost Note: Candidate should be ready to learn New Technologies and ready to relocate based on clients projects Role Overview: As an RPA Intern, you will gain expertise in automation tools and processes, working closely with our team to develop real-world automation solutions. This internship will help you build a strong foundation in RPA technologies and prepare you for a career in automation. Key Responsibilities : Assist in developing, testing, and deploying RPA bots. Work with automation tools like UiPath, Automation Anywhere, or Blue Prism. Analyze and optimize manual processes for automation. Support in creating workflow documentation and process maps. Collaborate with teams to integrate RPA solutions into business processes. Learn about Agentic AI and its applications in automation. Skills and Qualifications : Pursuing or completed a degree in Computer Science, IT, Engineering, or related fields. Basic knowledge of programming (Python, Java, C#) is a plus. Strong analytical and problem-solving skills. Ability to document workflows and process improvements effectively. A proactive mindset with a keen interest in automation technologies. Attention to detail and eagerness to learn cutting-edge RPA solutions. What You Will Gain : Certificate of Internship upon successful completion. Job assistance to help you launch your RPA career. Hands-on experience with industry-leading RPA tools. Exposure to real-world automation projects and best practices. A chance to be part of a mission-driven organization making an impact. Follow us on LinkedIn: VishvaVidya LinkedIn If you are passionate about automation, AI, and technology-driven solutions, this internship is the perfect opportunity for you. We look forward to welcoming you! Thanks & Regards, Team VishvaVidya www.vishvavidya.com

Immediate/Early joiners preferred. Proven expertise in building ML & GenAI apps using RAG , Agentic AI, NLP, LLMs (Langchain, LlamaIndex). Strong in Python , TensorFlow, PyTorch, Azure , Databricks , MLOps, and secure data pipelines for all data types. Gratuity Health insurance

Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Your role in our mission Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation. What we're looking for Bachelor's/Master’s degree in computer science, Engineering, or related fields. Strong experience with ML Ops tools (Kubeflow, MLflow, TFX, SageMaker, etc.). Experience with LLM-specific tools and frameworks (LangChain,Lang Graph, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS, Weavite, Chroma DB etc.). Solid experience in deploying models in cloud (AWS, Azure, GCP) and on-prem environments. Proficient in containerization (Docker, Kubernetes) and CI/CD practices. Familiarity with monitoring tools like Prometheus, Grafana, and ML observability platforms. Strong coding skills in Python, Bash, and familiarity with infrastructure-as-code tools (Terraform, Helm, etc.).Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Strong skills in Giskard, Deepeval etc. What you should expect in this role Fully Remote Opportunity – Work from anywhere in the India Minimal Travel Required – Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Role Description Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, quantization, pruning, and fine-tuning pipelines. Integrate prompt management, version control, and retrieval-augmented generation (RAG) pipelines. Manage vector databases, embedding stores, and document stores used in conjunction with LLMs. Monitor hallucination rates, token usage, and overall cost optimization for LLM APIs or on-prem deployments. Continuously monitor models for its performance and ensure alert system in place. Ensure compliance with ethical AI practices, privacy regulations, and responsible AI guidelines in LLM workflows. Core ML Ops Responsibilities: Design, build, and maintain robust CI/CD pipelines for ML model training, validation, deployment, and monitoring. Implement version control, model registry, and reproducibility strategies for ML models. Automate data ingestion, feature engineering, and model retraining workflows. Monitor model performance, drift, and ensure proper alerting systems are in place. Implement security, compliance, and governance protocols for model deployment. Collaborate with Data Scientists to streamline model development and experimentation.