Natural Language Generation NLG Jobs in Noida

Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

Job Title: Robot AI Researcher Advanced Robotics Location: Noida Role Overview As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics. Key Responsibilities Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning. Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making. Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability. Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution. Train multimodal robot foundation models using large-scale datasets. Optimize AI models for real-time performance and deployment on robotic platforms. Use data augmentation and simulation techniques to improve model robustness. Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed. Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis. Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems. Education & Experience PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields. 2 to 5 years of experience in AI research and development for robotic systems. Technical Skills Proficiency in Python, C++, and CUDA for AI development and optimization. Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn. Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques. Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred. Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS). Hands-on experience developing real-time AI algorithms for robotic platforms. Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing. Qualification : PhD or Masters degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and revolutionizing how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We know that new ideas can come from anywhere in the organization, and the next big idea could be yours! Excited by AI/ML? Interested in creating innovative solutions using Machine Learning? Join the Document Cloud team in Noida, where we are building PDF solutions across Web, Mobile, Desktop, and Platform APIs. We process billions of PDFs every month, leveraging ML, Deep Learning, and Generative AI at the core. We are looking for experienced individuals who are passionate about researching and developing methods for processing vast amounts of content, and are able to build mashups of Vision, Image Processing, NLP, and Generative Models to solve complex problems. What you get to do in this role: Develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision, alongside traditional large-scale, sophisticated solutions/codebases. Design and create experiments, algorithms, and solutions that achieve high accuracy while ensuring they are engineered to scale. Collaborate across multiple research and engineering disciplines to make the tradeoffs necessary to rapidly deliver AI/ML software solutions. Build robust, efficient, and reusable code in Python. Experience with C++ is preferred. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD is preferred. 3+ years of hands-on experience in deep learning, image processing, vision, and/or NLP. Proficiency in writing efficient, clean, and reusable code, with expertise in Python. Knowledge of C++ is a plus. Broad machine learning experience including data modeling, metrics, and result analysis. Experience working with TensorFlow or PyTorch. Exposure to Deep Learning techniques like CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, and multi-task learning. Experience in building solutions from scratch and maintaining large codebases. Strong software development skills that promote code reuse across engineering and research teams. Experience building AI applications for multiple locales is a plus. Pure Innovation: We celebrate those who think critically, take on challenges, and aspire to lead the way. Pure Growth: We offer the space and support you need to grow and contribute meaningfully to something groundbreaking. Pure Team: We believe in building each other up and working collaboratively toward shared goals. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech in Computer Science. MS/PhD preferred.

Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status. Qualification : Bachelors / Masters degree in engineering.