25 Vector Database Jobs

Company Name - Fission Labs Apply Here - https://app.fabrichq.ai/jobs/0e46cebe-8b91-4a96-9061-950b66dc4d54 About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Expertise Requirements Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design Technical Skills Advanced Python programming for AI/ML applications

As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. This role has a specific focus on Generative AI . Your Impact: What You'll Achieve As a Manager, Data Science specializing in Generative AI, you will: Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences. Strategic Collaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals. Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning. Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP , ensuring measurable outcomes. Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges. Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements. Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact. Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions. Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation. Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS, and Azure to address real-world business problems with precision and efficiency. Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects. Responsibilities Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization. Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation. Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights. Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production. Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions. Qualifications Your Skills & Experience Overall Experience: 8 to 15 years of experience. Generative AI Experience: At least 2 years of Gen AI experience . LLM Fine-tuning: Fine-tuning experience with Large Language Models (LLMs, VLLMs, or Vision models) . Distributed Training/Inference: Experience with distributed training or inference frameworks like Ray, vllm, openllm, bentoML etc. Generative AI Frameworks: Experience with frameworks like LangChain, Llamaindex for building maintainable, scalable Generative AI applications. LLM Deployment/Optimization: Deployment experience or optimized hosting experience of Large Language Models (LLMs, VLLMs, or Vision models) . Vector Databases: Experience working with any Vector database like Milvus, FAISS, ChromaDB etc. Agent Development: Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc. Prompt Engineering: Experience with prompt engineering. Market Trends: Keeping up with latest market trends. Open Source LLMs: Experience working with open-source large language models from HuggingFace . Cloud Providers: Experience working with at least one public cloud provider such as Azure, AWS, or GCP . Container Technology: Experience working with container technology like Docker, ECS etc. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines for data solutions. Production Deployment: Experience in deploying solutions to production with Kubernetes or OpenShift . ML Workflow Management: Experience with managing ML workflows with MLFlow or KubeFlow.

We are seeking a full-stack software developer and team lead to work with our front-end and back-end software development team and our computational linguistics team. This role requires architectural decisions, end-to-end planning and follow-up.

Data Scientist/ GenAI LLM Engineer. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies. Required Qualifications: Bachelors Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Desired Qualifications: M.sc. or Phd. in corresponding fields Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks Deep knowledge of a specific domain or industry, with a focus on NLP/LLM In depth understanding of Responsible AI standards and protocols Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

Design, develop, and optimize prompts to improve user interactions with AI models and tools. Collaborate with cross-functional teams to integrate prompt engineering capabilities into various applications. Implement and maintain high-quality prompt solutions within CoPilot Studio, ensuring alignment with user experience goals. Utilize the Azure Communication Framework to enhance AI model performance in real-world applications. Continuously test, evaluate, and refine prompt workflows to ensure effectiveness and efficiency. Document prompt design processes, testing protocols, and configuration guidelines to support operational consistency. Provide support in troubleshooting and resolving prompt-related issues. Design, develop, and optimize prompts to improve user interactions with AI models and tools. Collaborate with cross-functional teams to integrate prompt engineering capabilities into various applications. Implement and maintain high-quality prompt solutions within CoPilot Studio, ensuring alignment with user experience goals.

Role & responsibilities Role: Senior Technical Lead Skill : AI/ML/GENAI, Python ( NumPy,Pandas, Scikit-learn, Keras, Flask, SciPy , TensorFlow, NLTK),GPT/PaLM/BERT, BART, Azure Cloud Billing Rate: USD 28 #of positions: 1 Work Location; Chennai (preferred), Bangalore , Hyderabad, Noida, Pune Notice Period: Immediate Joiners Those who are interested may send their resume to aswathy.rajan@hcltech.com

Job Title: AI/ML and Chatbot Lead Experience Level: 10+ Years (Lead/Architect level) Location: Remote Employment Type: Full-time No. of Positions: 1 Job Overview: We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency. Key Responsibilities Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs). Build an AI/Chatbot Lab , creating a roadmap and driving innovations across in-app, generative, and conversational AI. Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers. Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases. Identify and implement agentic AI capabilities and SaaS optimization opportunities. Deliver POCs, pilots, and MVPs owning the design, development, and deployment lifecycle. Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers . Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel . Integrate bots with platforms like Salesforce, NetSuite, Slack , and custom applications via APIs/webhooks. Implement and monitor chatbot KPIs using tools like Kibana , Grafana , and custom dashboards. Champion ethical AI , governance, and data privacy/security best practices. Must-Have Skills 10+ years in AI/ML; demonstrable success in chatbot, conversational AI , and generative AI implementations. Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide. Expertise in: Python , LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face) LLMs (e.g., GPT, BERT), RAG, prompt engineering Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA AI solution deployment and monitoring at scale Familiarity with: Machine learning algorithms, deep learning, reinforcement learning NLP techniques for NLU/NLG Cloud platforms ( AWS, Azure, GCP ), Docker , Kubernetes Vector DBs (Pinecone, Weaviate, Qdrant) Semantic search, knowledge graphs, intelligent document processing Strong grasp of AI governance , documentation, and compliance standards Excellent team leadership, communication, and documentation skills Good-to-Have Skills Experience with Glean , Perplexity.ai , Rasa , XGBoost Familiarity with Salesforce , NetSuite , and business domains like Customer Success Knowledge of RPA tools like UiPath and its AI Center Role & responsibilities Interested candidate can call at 7087707007

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

We are seeking an innovative and highly skilled Architect / Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools Role & responsibilities: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAIs ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Preferred candidate profile: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Interested candidates can share their profiles to archana.y@orioininc.com Thanks & Regards, Archana Yesodharan Deputy Manager Talent Acquisition __________________________________________ Orion Innovation

Job Summary: We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Responsibilities: Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers). Handle data preprocessing, augmentation, and synthetic data generation. Work with NLP, text generation, and contextual comprehension tasks. Develop backend services using Python or .NET for LLM-powered applications. Build and deploy AI applications on cloud platforms (Azure, AWS, GCP). Optimize AI pipelines and ensure scalability. Stay updated with advancements in AI and ML. Skills & Requirements: Strong knowledge of machine learning, deep learning, and NLP. Proficiency in Python, TensorFlow, PyTorch, and Keras. Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment. Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG). Ability to work independently and as part of a team. Bachelors degree in Computer Science, Mathematics, Engineering, or a related field. 6+ years of experience in Gen AI, or related roles. Experience with AI/ML model integration into data pipelines. Core Competencies for Generative AI Engineers: 1. Programming & Software Development a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing. 2. Vector Database & Cloud AI Solutions a. Pinecone, FAISS, ChromaDB, Neo4jb. Azure Redis/ Cognitive Searchc. Azure OpenAI Serviced. Azure ML Studio Modelse. AWS (Relevant Services) 3. Data Engineering & Processing Handling large-scale structured & unstructured datasets. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop. Feature engineering and data augmentation techniques. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA). CV: Image generation using GANs, VAEs, Stable Diffusion. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers). Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face. Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner. Model compression (quantization, pruning, distillation). Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline). API integration with front-end applications. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks). Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.). Strong problem-solving skills with a passion for data architecture. Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders. Highly collaborative, capable of working with cross-functional teams. Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively. Why Join Us? Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. Work on impactful projects that make a difference across industries. Opportunities for professional growth and continuous learning. Competitive salary and benefits package. Ready to make an impact? Apply today and become part of the QX impact team!

Position Summary: We are seeking a highly skilled and motivated Tech Lead to join our team, focusing on developing and scaling a next-generation e-commerce catalog platform with integration of cutting-edge AI technologies, including Large Language Models (LLMs). This role combines expertise in Python and optimally Java backend development, production-scale architecture, and AI/ML applications to create data-intensive soluttions for data pipelines, catalog optimization. and to power different business use cases. The ideal candidate will have a strong background in backend engineering, AI-driven solutions, and leadership. Key Responsibilities: 1. Technical Leadership and Architecture Lead the design, development, and deployment of scalable, production-grade platforms for e-commerce catalog operations. Define architectural standards for Python and Java backend systems, ensuring scalability, fault tolerance, and maintainability. Provide mentorship to the engineering team, fostering technical excellence and best practices. Drive cross-functional collaboration to align technical solutions with business goals. 2. Backend Development and Platform Scaling Build and maintain robust backend systems using Pthon or Java Spring Framework (Spring Boot, Spring Cloud). Develop APIs and microservices to handle high volumes of data in real-time with low latency. Optimize platform performance to support large-scale catalogs and global user traffic. Ensure high availability and fault tolerance for critical catalog operations. 3. AI and Machine Learning Integration Design and implement solutions leveraging Large Language Models (LLMs), such as OpenAI GPT APIs or similar frameworks. Fine-tune and optimize LLMs for performance, accuracy, and relevance in e-commerce applications. Build and maintain RAG (Retrieval-Augmented Generation) systems and vectorized databases for enhanced AI capabilities. Collaborate with data science teams to deploy AI/ML models for catalog optimization, personalization, and predictive analytics. 4. Data Engineering and Pipelines Work with data engineers to design and optimize data pipelines, ensuring the availability and quality of training datasets. Develop scalable systems to process and store large volumes of catalog data. Leverage big data technologies like Hadoop, Spark, or Kafka for efficient data processing and real-time synchronization. 5. Cloud and DevOps Deploy and manage backend services and ML models on cloud platforms like AWS, GCP, or Azure. Set up and optimize CI/CD pipelines for seamless deployments and updates. Monitor system and model performance, ensuring smooth operations and rapid troubleshooting. 6. Collaboration and Stakeholder Engagement Partner with product management, business development, and engineering teams to define platform requirements and AI/ML solutions. Communicate complex technical concepts to non-technical stakeholders effectively. Stay updated on industry trends in AI, ML, and backend development to drive innovation. Required Qualifications: Technical Skills Backend Development: 8+ years of experience in Python / Java development, including expertise in Spring Boot, microservices, and RESTful APIs. Experience in designing and scaling production-grade platforms for high-volume applications. AI/ML Expertise: Proficiency in integrating LLMs like OpenAI GPT and frameworks such as Hugging Face Transformers. Hands-on experience with TensorFlow, PyTorch, or similar tools. Data Engineering: Strong knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with RAG systems, vectorized databases, and retrieval-based AI. Cloud and DevOps: Proven experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes. Expertise in CI/CD pipelines and system monitoring. Professional Experience 7+ years of experience in backend development, machine learning, and NLP applications. Proven track record of delivering scalable, fault-tolerant platforms and AI-powered solutions. Soft Skills Strong leadership, decision-making, and problem-solving abilities. Excellent written and verbal communication skills. Ability to thrive in a fast-paced, collaborative environment. Preferred Qualifications Advanced certifications in machine learning, cloud computing, or AI technologies. Experience in e-commerce catalog systems, including product onboarding, search optimization, and personalization. Contributions to open-source projects or active participation in tech communities. What We Offer: A collaborative environment to work on cutting-edge AI and backend technologies. Opportunities to lead and shape the future of e-commerce catalog platforms. Competitive compensation and benefits package. Access to advanced tools and frameworks in AI, cloud, and backend development. This is your opportunity to lead the development of a state-of-the-art, AI-integrated e-commerce catalog platform. If you're ready to combine your expertise in Python or java development, architecture, and AI, we want to hear from you! Notice Period: 30 Days

DvSum India Private Limited Position Vacant -AI Solutions Consultant Organization Name DvSum India Qualification • 7 to 10 years (maximum) relevant experience Minimum qualification Bachelor of Engineering (Computer Science/ Information Systems) or Master in Computer Application Required Skill Set Experience design, development and deployment of AI solutions Successfully executed engagements working with partners, architects, developers in AI domain Solid expertise in Python and Relational Databases (SQL, PLSQL) for atleast 7 years Experience in AI projects - Gen AI project, Prompt Engineering Experience in cloud services, preferably AWS Knowledge in agile methodologies and DevOps/ AIOps Preferred experience in telecom, healthcare, banking domain projects Job Description / Responsibilities This role will perform the responsibilities of Senior AI Solutions Consultant on DvSum projects for Gen AI solutions . This is an individual contributor lead role, where the AI Solutions Consultant needs to work with minimal supervision. Role will be responsible to gather customer requirements, convert customer requirements into solution design, develop, deploy leading customer to go-live. Ultimately be responsible for delivering quality solution for customers. Design and develop Gen AI solution for multiple customers Get trained on DvSum Data Intelligence platform Create Agentic workflows Deploy DvSum solution as per customer requirements Gather functional requirements, design, develop Gen AI solutions Write functional and solution design documents Configure and deploy Data Insight Gen AI solution Provide technical expertise, research on Gen AI solution approaches for solution development and deployment Review deliverables for quality assurance Analyze issues, determine root-cause and drive resolution for any issues Desired profile of the candidate Atleast 7+ years combined expertise in Data Engineering/ AI Solutions domain Experience in Gen AI projects Demonstrated experience as Python Developer in multiple projects using multiple libraries. Experience in creating Agentic workflows and Prompt Engineering Expertise in SQL and database technologies Experience in cloud services, preferably AWS Good to have experience in healthcare, telecom, banking domain Articulate, persuasive, ability to influence a wide range of stakeholders Analytical data driven mind, problem solving, innovative thinking, demonstrating flexibility with attention to detail Dynamic, confident personality, quick learner, with the ability to successfully execute based on multiple priorities A go-getter and highly driven personality Excellent communication skills both written and oral [Must Have] Ability to join quickly Candidates Location Remote/ work from home. Bangalore office. Contact Information DvSum Careers indiacareers@dvsum.com Website www.dvsum.ai IndiQube Alpha, Outer Ring Road, Kadubeesanahalli, Bengaluru, Karnataka, INDIA 560103

Job Title: AI/ML Engineer Location: Pune (Hybrid) Join our team as a AI/ML Engineer and be a part of our cutting-edge Generative AI lab. As an AI Engineer, you will play a pivotal role in developing and implementing core AI functionalities to drive value throughout the consulting lifecycle. Your responsibilities will include innovating information extraction, synthesis, and analysis of both structured and unstructured data to derive valuable quantitative insights. Responsibilities: Develop and own AI functionalities across the lifecycle, from initial proof of concept to production-ready pipelines. Research and experiment with new and emerging AI capabilities to establish performance metrics and suitability for proof of concept. Enhance developed pipelines into production-level modules for seamless integration into user experiences. Collaborate with the product team to ensure seamless deployment and functionality of AI solutions. Stay abreast of industry trends and technological advancements to continuously improve AI capabilities. Requirements: Experience in data science, specializing in building and deploying AI/ML applications. Proficiency in Python is a must, along with experience in ML libraries like Scikit-Learn and SQL. Familiarity with cloud-based platforms such as Azure and vector databases like pinecone is preferred. Deep understanding of statistical and machine learning models, including data preparation, model selection, hyperparameter tuning, and performance evaluation. Experience in processing unstructured natural language data and text extraction. Knowledge of NLP techniques, including text processing, TF-IDF, semantic parsing, and sentiment analysis, is a plus. Previous exposure to Generative AI and large language models will be advantageous. Strong analytical and problem-solving skills, with the ability to work independently with guidance. An advanced degree in Statistics, Computer Science, Physics, or Mathematics is preferred. Benefits: Unlimited Leave Policy Flexible working Hours Supportive team for Personal and Professional Growth Joining our team means being part of a founding team where you'll have ample opportunities for personal and professional growth.

Job Description We are seeking a highly skilled and motivated Data Science & Machine Learning Developer with a minimum of 3 years of experience of working in Data Science in Conversational AI and Enterprise Search. The ideal candidate should be passionate about creating efficient, scalable, and maintainable code, with a focus on delivering high-quality solutions for our clients. Responsibilities Developing applications using the python programming language. Design and implement web applications using Python and related technologies. Should have worked on PyTorch and Vector Databases Should have worked on model training and Prediction from model Hands on experience in Conversational AI and Enterprise Search Candidate should have worked with Different cloud like Azure, AWS and Google and their respective AI components AWS Lex knowledge is advantage. Involvement in all aspects of the software development life cycle, from requirements gathering to testing and deployment. Testing applications thoroughly before deployment in order to ensure that they are free of errors. Requirements A bachelor's degree in computer science or a related field. Minimum of 3 years of professional experience in Python development. Excellent problem solving and communication abilities, in order to be able to solve complex problems that may arise during the development process. The ability to work independently as well as part of a team. Excellent communication abilities Strong organizational skills

Project Description: Grid Dynamics aims building enterprise generative AI framework to deliver innovative, scalable and efficient AI-driven solutions across business functions.Due to constant scaling of digital capabilities the platform requires enhancements to incorporate cutting-edge generative AI features and meet emerging business demands. Platform should onboard brand new capabilities like Similarity Search (image,video and voice);Ontology and entity managment;voice and file mgmt [text to speech & vice-versa, metadata tagging, multi-media file support];Advanced RAG ; Multi-Modal capabilities Responsibilities: As an LLMOps Engineer, you will be responsible for providing expertise on overseeing the complete lifecycle management of large language models (LLM). This includes the development of strategies for deployment, continuous integration and delivery (CI/CD) processes, performance tuning, and ensuring high availability of our LLM services. You will collaborate closely with data scientists, AI/ML engineers, and IT teams to define and align LLM operations with business goals, ensuring a seamless and efficient operating model. In this role, you will: Define and disseminate LLMOps best practices. Evaluate and compare different LLMOps tools to incorporate the best practices. Stay updated on industry trends and advancements in LLM technologies and operational methodologies. Participate in architecture design/validation sessions for the Generative AI use cases with entities. Contribute to the development and expansion of GenAI use cases, including standard processes, framework, templates, libraries, and best practices around GenAI. Design, implement, and oversee the infrastructure required for the efficient operation of large language models in collaboration with client entities. Provide expertise and guidance to client entities in the development and scaling of GenAI use cases, including standard processes, framework, templates, libraries, and best practices around GenAI Serve as the expert and representative on LLMops Practices, including: (1) Developing and maintaining CI/CD pipelines for LLM deployment and updates. (2) Monitoring LLM performance, identifying and resolving bottlenecks, and implementing optimizations. (3) Ensuring the security of LLM operations through comprehensive risk assessments and the implementation of robust security measures. Collaborate with data and IT teams to facilitate data collection, preparation, and model training processes. Practical experience with training, tuning, utilizing LLMs/SLMs. Strong experience with GenAI/LLM frameworks and techniques, like guardrails, Langchain, etc. Knowledge of LLM security and observability principles. Experience of using Azure cloud services for ML Experience of using Azure cloud services for ML Min requirements: Programming languages: Python Public Cloud: Azure Frameworks: K8s, Terraform, Arize or any other ML/LLM observability tool Experience: Experience with public services like Open AI, Anthropic and similar, experience deploying open source LLMs will be a plus Tools: LangSmith/LangChain,guardrails Would be a plus: Knowledge of LLMOps best practices. Experience with monitoring/logging for production models (e.g. Prometheus, Grafana, ELK stack) We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

DvSum India Private Limited Position Vacant -AI Solutions Consultant Organization Name DvSum India Qualification • 3 to 5 years (maximum) relevant experience Minimum qualification Bachelor of Engineering (Computer Science/ Information Systems) or Master in Computer Application Required Skill Set Experience design, development and deployment of AI solutions Successfully executed engagements working with partners, architects, developers in AI domain Solid expertise in Python and Relational Databases (SQL, PLSQL) for atleast 3 years Experience in AI projects. Preferably Gen AI project, Prompt Engineering Good to have knowledge in Langchain Experience in cloud services, preferably AWS Knowledge in agile methodologies and DevOps/ AIOps Preferred experience in telecom, healthcare, banking domain projects Job Description / Responsibilities This role will perform the responsibilities of AI Solutions Consultant on DvSum projects for Gen AI solutions . This is an individual contributor role, where the AI Solutions Consultant needs to work with minimal supervision. Role will be responsible to gather customer requirements, convert customer requirements into solution design, develop, deploy leading customer to go-live. Ultimately be responsible for delivering quality solution for customers. Design and develop Gen AI solution for multiple customers Get trained on DvSum Data Intelligence platform. Deploy DvSum solution as per customer requirements Gather functional requirements, design, develop Gen AI solutions Write functional and solution design documents Configure and deploy Data Insight Gen AI solution Provide technical expertise, research on Gen AI solution approaches for solution development and deployment Review deliverables for quality assurance Analyze issues, determine root-cause and drive resolution for any issues Desired profile of the candidate Atleast 3+ years Expertise in Data Engineering/ AI Solutions domain Experience in Gen AI projects Demonstrated experience as Python Developer in multiple projects using multiple libraries. Experience in Prompt Engineering Expertise in SQL and database technologies Good to have experience in cloud services, preferably AWS Good to have experience in healthcare, telecom, banking domain Articulate, persuasive, ability to influence a wide range of stakeholders Analytical data driven mind, problem solving, innovative thinking, demonstrating flexibility with attention to detail Dynamic, confident personality, quick learner, with the ability to successfully execute based on multiple priorities A go-getter and highly driven personality Excellent communication skills both written and oral [Must Have] Ability to join quickly Candidates Location Remote/ work from home. Bangalore office. Contact Information DvSum Careers indiacareers@dvsum.com Website www.dvsum.ai IndiQube Alpha, Outer Ring Road, Kadubeesanahalli, Bengaluru, Karnataka, INDIA 560103

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools Role & responsibilities: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAIs ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Preferred candidate profile: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Interested candidates can share their profiles to archana.y@orioininc.com Thanks & Regards, Archana Yesodharan Deputy Manager Talent Acquisition __________________________________________ Orion Innovation

Position Overview: We are seeking highly motivated and innovative AI Agent Development Interns t. You will work with our AI and Oracle Cloud teams to build and prototype AI agents using Large Language Models (LLMs) integrated with Oracle Fusion Applications . This internship is ideal for students who want to work on cutting-edge AI use cases with direct business impact in enterprise environments. Key Responsibilities: Design and build AI agents using LLMs for Oracle Fusion modules: HCM, ERP, SCM, and Risk Management Integrate AI agent flows with Oracle Cloud APIs and datasets Collaborate with Oracle Fusion ERP, SCM, HCM & GRC specialists, data engineers, and cloud developers to refine models and workflows Actively participate in the entire project lifecycle from conceptualization, requirements gathering, and design, through to coding, rigorous testing, iterative refinement, and documentation Document your approach, challenges, and learning outcomes Qualifications: Currently pursuing a Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields Strong proficiency in Python, APIs, and LLM frameworks (e.g., OpenAI, LangChain, HuggingFace) Familiarity with Oracle Fusion Cloud or interest in enterprise applications is a strong plus Understanding of prompt engineering, embeddings, and agent orchestration Strong problem-solving skills, curiosity, and eagerness to learn new technologies Preferred Skills: Experience with tools like LangChain, VectorDB, or Retrieval-Augmented Generation (RAG) Familiarity with REST APIs, JSON, and webhooks Exposure to enterprise IT or cloud platforms (OCI, AWS, Azure, etc.) What You Will Gain: Real-world experience building AI applications for enterprise use Exposure to Oracle’s enterprise ecosystem and industry-leading risk solutions Mentorship from cloud, AI, ERP, SCM, HCM and GRC experts Opportunity to present your work in internal demos and client-facing forums Certificate of Completion and potential full-time offer Role & responsibilities

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Job Title: Senior Software Engineer / Tech Lead - Full Stack (React, Python, MongoDB, AI) Location: Bangalore, India (On-site) Type: Full-time Experience: 4 -10 years About the Role We are looking for a Senior Software Engineer / Tech Lead to join our fast-growing engineering team in Bangalore . This is a high-impact role for someone who thrives in a product company environment , enjoys solving complex problems, and can deliver secure, scalable, and AI-enabled systems fast. Youll work across the stack with ReactJS, Python, and MongoDB , integrating AI models or APIs where it drives real value. You bring a delivery-first mindset , care deeply about performance, scalability, and security , and are passionate about building high-quality production code that moves the needle for the business. What Youll Do Build and ship end-to-end features using React (frontend) , Python (backend APIs) , and MongoDB (data layer) . Contribute to architectural decisions, system design, and product shaping discussions. Integrate AI/ML models or LLM APIs into real-world product workflows. Deliver clean, maintainable, production-ready code — fast. Collaborate with product managers, designers, and other engineers to iterate quickly and smartly. Ensure systems are high-performing, secure, and scalable from day one. Own your work with pride and push for continuous improvement in code quality and delivery velocity. What We’re Looking For 4–10 years of experience in software development at product companies (mandatory). Strong proficiency in: ReactJS (modern component patterns, performance tuning) Python (FastAPI, Flask, Django) MongoDB (schema design, indexing, performance optimization) Hands-on experience in building and maintaining production systems with real users. Familiarity with AI/ML APIs , LLMs, or intelligent feature integrations is a strong plus. Experience working with cloud-native architectures (AWS/GCP), containerization (Docker), and CI/CD pipelines. A business-aware mindset — you understand the “why” behind what you build. Strong ownership, collaboration, and problem-solving skills. Bonus Points Exposure to Vector Databases , or AI agents . Built software in early-stage startups or fast-growing B2B platforms . Passion for shipping fast without compromising stability or scale. Why Join Us Join a mission-driven product company building intelligent, real-world solutions. Work in a builder-led, high-ownership culture Collaborate with world-class talent across engineering, product, and AI. If you’re passionate about building smart, scalable, and meaningful products — this is your platform.

Are you ready to shape the future of AI? As a Mid-Level Generative AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Falcon, LLaMA, and PaLM 2. Dive deep into the world of NLP, vector databases, and deep learning frameworks to create groundbreaking solutions. Your expertise in Python, PyTorch, and TensorFlow will drive the development of next-generation AI applications. Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate ML solutions that redefine industries. Designation: Generative AI Engineer Location: Hyderabad, India Employment Type: Full Time Expertise: Mid-Level Key Responsibilities Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. ¢ Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. ¢ Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. ¢ Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. ¢ Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. ¢ Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. ¢ Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. ¢ Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. ¢ Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations. Foundational Skills ¢ Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems. ¢ Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks. ¢ Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications. ¢ Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications. ¢ Deep Learning: Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems. ¢ Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries. ¢ AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions. ¢ Ownership: Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion. ¢ Seeker Mindset: Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate. ¢ Passionate Towards Work: Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement. ¢ Extremely Ambitious: Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development. ¢ Ability to Comprehend: Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions. Advanced Skills ¢ Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions. ¢ Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments. ¢ Leadership Experience: Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department. How to Apply If you are passionate about leveraging AI technologies to create impactful solutions and meet the qualifications listed above, we invite you to apply for this exciting opportunity by sharing your video resume. We look forward to hearing your story and exploring how your skills align with the goals of our team. As an equal opportunity employer, Techolution celebrates diversity and is committed to creating an inclusive environment for all employees. About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do As your one-stop shop engineering firm, Techolution guides you from ideation to ROI realization. We ensure real-world AI success by minimizing R&D risks for our clients with our innovative fixed-bid pricing model. Our Unique Value Proposition ¢ White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. ¢ Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. ¢ Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Our Impact Techolution has partnered with 300+ clients worldwide, including 50+ Fortune 500 companies. Our growing team works across diverse sectors such as healthcare, education, retail, media, tech, banking, fintech, government, telecom, and manufacturing. Celebrating 9+ years in business, we are committed to AI Done Right! Awards & Recognition ¢ 2024: Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." ¢ 2023: AI Solutions Provider of the Year - AI Summit ¢ 2022: Best in Business Award - Inc. Magazine ¢ 2021: Best Cloud Transformation Consulting - CIO Review ¢ 2019: Inc. 500 Fastest Growing Company Award Take a Look At Our Accelerators ¢ Enterprise LLM Studio ¢ AppMod.AI ¢ ComputerVision.AI ¢ Robotics and Edge Device Fabrication ¢ RLEF AI Platform Some Videos You Wanna Watch! ¢ About Techolution ¢ Transform Customer Service with Techolution ¢ GoogleNext 2023 ¢ Conversational AI for Enterprise ¢ Realytics AI Success Story Visit us at www.techolution.com to know more about our revolutionary core practices and how we enrich the human experience with technology.

Position - AI Engineer As an AI Engineer, you will design, implement, and optimize machine learning models and AI systems to solve complex problems. You will work closely with cross-functional teams to integrate AI solutions into our products and services, ensuring scalability and efficiency. Key Responsibilities: Application Development: Design and develop AI-powered applications using state-of-the-art LLM models and generative AI techniques. Implement scalable solutions that integrate LLM-powered tools into existing workflows or standalone products. Model Optimization: Fine-tune pre-trained LLM models to meet specific application requirements. Optimize model performance for real-time and high-throughput environments. LLMOps Implementation: Develop and maintain pipelines for model deployment, monitoring, and retraining. Set up robust systems for model performance monitoring and diagnostics. Ensure reliable operations through analytics and insights into model behavior. Vector Databases and Data Management: Utilize vector databases for efficient storage and retrieval of embeddings. Integrate databases with LLM applications to enhance query and recommendation systems. Collaboration and Innovation: Work closely with cross-functional teams, including product managers, data scientists, and software engineers. Stay up-to-date with advancements in generative AI and LLM technologies to drive innovation. Skills and Experience 3+ years of experience in AI/ML development, with a focus on generative AI and LLMs. Proficiency in programming languages such as Python and frameworks like PyTorch or TensorFlow. Hands-on experience in fine-tuning and deploying LLM models (e.g., GPT, BERT, etc.). Familiarity with LLMOps practices, including pipeline automation, monitoring, and analytics. Experience with vector databases (e.g., Pinecone, Weaviate, or similar). Strong knowledge of natural language processing (NLP) and machine learning principles. You should certainly apply if: Understanding of MLOps principles and cloud platforms (AWS, GCP, Azure). Familiarity with prompt engineering and reinforcement learning from human feedback (RLHF). Experience in building real-time applications powered by generative AI. Knowledge of distributed systems and scalable architectures.

Job Title: Technology AI Engineer Location: Gurugram (Onsite) Experience: 2+ Years Budget: Open Job Overview: We are looking for a highly skilled Technology AI Engineer who is proficient in both front-end and back-end development. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), AI architecture, data structures, and AI prompt engineering . The role requires expertise in building APIs , working with OpenAI, Llama, and Anthropic models , and creating scalable AI-powered applications. Key Responsibilities: Develop and optimize AI-based applications leveraging LLMs. Design and implement scalable AI architectures and data structures to support AI functionalities. Build and manage AI-driven APIs for back-end integration. Work with OpenAI, Llama, and Anthropic models to develop AI solutions. Collaborate with data scientists and AI researchers to fine-tune and deploy models. Develop secure and efficient backend services using modern frameworks. Implement front-end components to integrate AI capabilities into user interfaces. Monitor and improve the performance of AI-driven applications. Required Skills & Qualifications: 2+ years of experience in Full Stack Development (Frontend & Backend) Strong experience in AI Model Integration (OpenAI, Llama, Anthropic) Solid understanding of AI architecture and data structure development Expertise in API Development and AI-driven applications Proficiency in Python, JavaScript, or similar technologies Hands-on experience with cloud platforms (AWS, GCP, or Azure) Experience with Vector Databases and Retrieval-Augmented Generation (RAG) is a plus Strong problem-solving skills and ability to optimize AI workflows

As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI and ML to improve performance and efficiency. Your typical day will involve working with LLMs, deep learning, neural networks, chatbots, natural language processing, and Cloud Data Architecture. Roles & Responsibilities: - Design and develop scalable and reliable AI-based applications and systems using Azure Cloud Data Architecture. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and maintain AI models, including deep learning, neural networks, chatbots, and natural language processing. - Ensure AI-based applications and systems' performance, scalability, and reliability. - Stay updated with the latest advancements in AI and machine learning technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must have Skills: Azure AI studio, Azure Open AI, and Cloud Data Architecture. - Must have experience in writing custom LLMs - Strong understanding of AI and machine learning technologies, including deep learning, neural networks, chatbots, and natural language processing. - Experience in designing and developing scalable and reliable AI-based applications and systems. - Experience in implementing and maintaining AI models. - Experience in ensuring AI-based applications and systems' performance, scalability, and reliability. - The candidate should have a minimum of 4 years of experience in AI/ML and cloud. - The ideal candidate will possess a strong educational background in computer science, AI, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale