Job Title: Remote Internship – Generative AI / Artificial Intelligence/Python Location: Remote (India – open to candidates across the country) Job Type: Internship (0–6 months experience / Freshers welcome) Client details – confidential with be discuss in interview. We are looking for motivated and enthusiastic candidates to join our team as Interns on projects involving Generative AI and Artificial Intelligence . This role provides an excellent opportunity to gain hands-on experience working on cutting-edge AI technologies and real-world applications. Responsibilities Assist in development and research for projects related to Generative AI . Contribute to building, testing, and optimizing AI models. Work with the team on data preprocessing, model evaluation, and deployment tasks. Support project documentation and reporting. Collaborate with senior team members to solve technical challenges. Required Skills Python programming proficiency (essential). Academic or project experience in AI/ML, Generative AI, or related domains . Familiarity with AI tools, frameworks, or libraries (such as TensorFlow, PyTorch, Hugging Face, LangChain, or similar). Strong analytical and problem-solving mindset. Ability to learn quickly and work independently in a remote setup. Eligibility Freshers or candidates with 0–6 months of relevant experience . Bachelor’s/Master’s degree students or recent graduates in Computer Science, Information Technology, Data Science, AI/ML, or related fields. What We Offer Remote internship with flexible working. Exposure to real-world projects in the Generative AI domain. Opportunity to learn and grow in a fast-paced environment.
Position - AI/ML Architect Location - Matrix Tower Shivajinagar, Pune, India 4days work from office 1 day work from home Company - Emerson Company Link - https://www.emerson.com Experience - 10+ Years of experience Job Summary: We are seeking a highly experienced AI Solutions Architect with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI (GenAI). This role involves leading the design, development and deployment of scalable AI/ML solutions and tools with a strong focus on innovative architectures. The ideal candidate will collaborate across teams to deliver high-performance AI systems aligned with business objectives and future scalability. In this Role, Your Responsibilities Will Be: Design and implement full-stack scalable AI/ML systems integrating frontend (React/Angular), backend (Python/Node.js), RESTful APIs, RAG and agentic frameworks (LangChain, AutoGen). Architect distributed, microservice-based AI pipelines using event-driven architectures and containerized deployments on Azure and AWS (secondary). Advanced ML/DL models including GPT, BERT, CNNs, RNNs, GANs for NLP, computer vision, and multimodal applications. Engineer prompt-based systems using retrieval-augmented generation (RAG), few-shot learning, and prompt tuning to optimize LLM performance. Lead data preprocessing workflows with Spark, Pandas, and MLFlow, including feature engineering and data augmentation. Model observability frameworks for drift detection, performance monitoring, and lifecycle management using tools like Prometheus and Grafana. Apply model optimization techniques such as quantization, pruning for real-time, low-latency inference. Enforce AI/ML system security by integrating data protection protocols, implementing role-based access control (RBAC), encryption standards (TLS, AES), and ensuring compliance with regulatory frameworks such as GDPR, HIPAA, and ISO/IEC 27001 through automated policy enforcement and audit logging. Ensure AI security, governance through bias mitigation, explainability and secure deployment aligned with compliance standards. Conduct technical feasibility assessments, PoCs, and infrastructure cost estimation with risk analysis. Lead AI architecture with cross-functional collaboration, Agile execution, and continuous innovation while maintaining technical excellence and comprehensive documentation. Exceptional ability to articulate complex AI and technical concepts with clarity, enabling effective communication across technical and non-technical stakeholders. Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, or related field with 10+ years in AI/ML architecture and enterprise-grade solution delivery. Over 5 years of specialized experience in architecting and deploying AI/ML systems, with a demonstrated history of delivering production-grade solutions across diverse use cases. Hands-on experience with agentic frameworks (LangChain, AutoGen), prompt engineering, and scalable LLM deployment. Strong expertise in GenAI, Machine Learning, Data Science, transformer models (GPT, BERT), deep learning (CNNs, RNNs, GANs), and multimodal AI systems. Proficient in Python and ML/DL frameworks like TensorFlow, PyTorch, Hugging Face, and MLFlow. Skilled in designing distributed AI pipelines using microservices, containerization (Docker, Kubernetes) and cloud platforms (Azure, AWS-secondary). Deep understanding of data engineering, CI/CD automation, model observability, and performance optimization. Specialized in AI security including adversarial robustness, federated learning, encryption standards, and regulatory compliance. Proven leadership in Agile environments, technical mentoring, and translating business needs into scalable AI architectures. Passionate about innovation with a track record of integrating emerging AI technologies into production-ready systems. Preferred Skills: Proven experience in developing AI-powered solutions across industries. Strong understanding of MLOps practices, CI/CD pipelines, and Azure DevOps for scalable AI deployment. Solution Architect Certifications is plus advantage like AZ-305: Azure Solutions Architect Expert, AWS Certified Solutions Architect. Deep knowledge of secure and ethical AI design, including data privacy regulations and responsible AI principles. Demonstrated success in leading GenAI/ML projects from concept to production with measurable impact. Advanced problem-solving and analytical skills for translating complex challenges into efficient AI solutions. Excellent communication and collaboration abilities to bridge technical and non-technical stakeholders
Role : IBM MQ admin with MQ Streams , Event Streaming. Remote Notice : 30 days to 45 days Max Salary : 9 lakhs Must have – IBM MQ admin, Event Streaming, MQ stream – Great to have /Optional : APIC Connect , Kafka streams 4 – 8 years of hands-on experience WebSphere MQ, Kafka and Ansible experience. Responsible for providing IT security and automation expertise. This candidate will provide baseline security standards and policies for Utilizes technical and business knowledge to design and implement secure, risk-based solutions, exercising judgment within broadly defined practices and policies. Results oriented, business focused, and successful at interfacing across multiple organizational units, at various levels. Required Skills: WebSphere MQ. IBM MQ streams, Kafka Strong Confluent Kafka or IBM Stream admin experience with clear understating of Confluent Kafka user/role and security Strong Ansible automation Linux/UNIX Shell Scripting IT security Strong hands-on experience of developing automation using Python and Javancy in these technologies.