8 Rnns Jobs

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key components of the RAG workflow for ensuring production-grade performance and scalability is crucial. You will be evaluating, validating, and fine-tuning the outputs of Generative AI models for accuracy and relevance, implementing monitoring, observability, and guardrails to ensure responsible and secure use of AI technologies, and collaborating with cross-functional teams to deliver innovative AI solutions. To qualify for this role, you must have strong programming experience in Python, including frameworks like FastAPI and Flask. A deep understanding of Generative AI, LLMs, and RAG methodologies is essential. Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search, and Cosmos DB is required. Hands-on experience with machine learning, deep learning, and natural language processing (NLP) is a must. Familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, spaCy, etc., is expected. You should possess solid knowledge of machine learning algorithms, including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM, and Decision Forests, along with experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred qualifications include certifications in Azure AI Engineer Associate or related fields. Experience working with managed LLMs beyond Azure OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.) and knowledge of DevOps, CI/CD, and infrastructure automation for AI pipelines are considered advantageous.,

You will be responsible for building deep learning models using TensorFlow/PyTorch. Collaborate with the team to ensure proper testing and deployment of the models. Demonstrate good knowledge and understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domain, as well as TensorFlow and deep learning frameworks like Keras, PyTorch to solve real-life problems. Create and update documentation for the work done. Understand deep learning algorithms implementation from scratch such as LSTM, RNNs, DNNs, BI-LSTMs. Work on Computer Vision and Image processing, as well as TRANSFER LEARNING - GANs. Minimum qualifications include a Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) is required. Preferred qualifications include a Master's or B.Tech in relevant field. Your responsibilities will include researching on given machine learning/data science topics for writing articles for company websites. Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles. Work on short projects & assignments, deployment techniques, and design and implement machine learning, information extraction, probabilistic matching algorithms and models. Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems. Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN. Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques. Use innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning. Handle online code assistance, code mentoring, and education-based solutions. Perks include Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.,

Position -- Permanent Role Senior AI Developer Experience 6+ Years Location Chennai/Bangalore Work Mode – WFO/Hybrid Shift Timing – Afternoon (2pm – 10pm) About the Role We are seeking a highly skilled and experienced AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with hands-on experience in designing and deploying AI solutions across various domains. You will work closely with data scientists, software engineers, and product teams to build intelligent systems that solve real-world problems. Key Responsibilities: Design, develop, and deploy AI/ML models for various business applications. Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions. Optimize and scale machine learning models for performance and accuracy. Integrate AI models into production systems using APIs and cloud platforms. Conduct research and stay updated with the latest advancements in AI and ML. Mentor junior developers and contribute to code reviews and best practices. Document processes, models, and workflows for internal and external stakeholders. Required Skills 6+ years of experience in AI/ML development. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Strong understanding of deep learning architectures (CNNs, RNNs, Transformers). Experience with NLP, computer vision, or recommendation systems. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills Experience with large language models (LLMs) and generative AI. Knowledge of data engineering and pipeline development. Publications or contributions to open-source AI projects. Pay range and compensation package Competitive salary based on experience and qualifications. Equal Opportunity Statement We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law. Qualification Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

As a highly skilled Senior Machine Learning Engineer, you will leverage your expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. Your responsibilities will include developing and scaling deep learning models, fine-tuning LLMs (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. You will be responsible for designing, training, fine-tuning, and optimizing deep learning models (CNNs, RNNs, Transformers) for various applications such as NLP, computer vision, or multimodal tasks. Additionally, you will fine-tune and adapt LLMs for domain-specific tasks like text generation, summarization, and semantic similarity. Experimenting with RLHF (Reinforcement Learning from Human Feedback) and alignment techniques will also be part of your role. In the realm of Deployment & Scalability (MLOps/LLMOps), you will build and maintain end-to-end ML pipelines for training, evaluation, and deployment. Deploying LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT is crucial. You will optimize models for low-latency, high-throughput inference and implement CI/CD workflows for ML systems using tools like MLflow and Kubeflow. Monitoring & Optimization will involve setting up logging, monitoring, and alerting for model performance metrics such as drift, latency, and accuracy. Collaborating with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models will also be part of your responsibilities. The ideal candidate will possess 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks is essential. Experience with model deployment tools like Docker, Kubernetes, and FastAPI, along with knowledge of MLOps/LLMOps best practices and familiarity with cloud platforms (AWS, GCP, Azure) are required qualifications. Preferred qualifications include contributions to open-source LLM projects, showcasing your commitment to advancing the field of machine learning.,

As an AI Developer at our company, you will play a crucial role in the development of advanced AI solutions. Your primary responsibility will involve designing, implementing, and maintaining AI algorithms and models to address complex challenges. Collaboration with data scientists, engineers, and product managers will be essential to deliver innovative AI-driven products. Your key responsibilities will include designing, developing, and deploying various AI algorithms and models encompassing machine learning, deep learning, and natural language processing techniques. Working closely with data scientists, you will also assist in data collection, cleaning, and preparation for AI modeling purposes. Furthermore, you will be tasked with optimizing AI models to enhance their performance and efficiency. It will be imperative for you to stay abreast of the latest advancements in AI and machine learning technologies. Your active participation in the development of AI-powered products and applications will be critical. Additionally, collaborating with cross-functional teams to ensure seamless AI integration across different projects will be part of your routine tasks. To be successful in this role, you should possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong programming skills in Python or other relevant languages are essential. Previous experience with machine learning frameworks like TensorFlow, PyTorch, or Keras is highly advantageous. Knowledge of deep learning architectures such as CNNs, RNNs, and Transformers, along with familiarity with natural language processing techniques like text classification and named entity recognition, will be beneficial. Experience with cloud platforms like AWS, GCP, or Azure will be a plus. Excellent problem-solving and analytical skills are crucial for this position. Your ability to work both independently and collaboratively within a team environment will be instrumental in your success as an AI Developer.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology we set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation -driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Man agement Trainee -Human Resource Analytics In this role, you will act as a Technical Leader for our People Analytics projects Responsibilities Lead the People Analytics Projects Accountable for all technical details of the projects and is expected to run them independently, end to end. Constantly upskilled with latest developments in the field of Machine Learning / Deep Learning Ensure we incorporate Machine Learning / Deep Learning, as applicable. Own entire project life cycle - Data collection, Data clean up and then modelling. Adept in storyboarding project insights Qualifications we seek in you! Minimum qualifications Relevant experience in Machine Learning / Deep Learning . Preferred Qualifications/ Skills Excellent hands-on experience in Machine Learning techniques such as Decision Trees (Random Forest), Support Vector Machines, Regression (Linear & Logistic) Should have hands on experience in Deep Neural network techniques such as RNNs and LSTMs Have worked on NLP. Adept at visualizing data and presenting it to stakeholders. Good with statistical concepts such as Probability Distributions and Hypotheses testing. Should have run Machine Learning / Deep Learning projects on cloud servers and handled large datasets. Good rank on Kaggle competitions is preferred. Excellent communication (verbal & written) skills - should be adept in storyboarding project insights. Languages preferred: Python or R Needs to be independent and self-motivated and comfortable working independently. Experience in ML Ops, Airflow would be an added advantage . Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

We are urgently looking for an experienced Generative AI Trainer to join our institute and drive excellence in training. Require solid expertise in AI/ML, NLP, and Generative AI (LLMs, LangChain, Transformers, RAG, etc) Send CV at rathij91@gmail.com Required Candidate profile Conduct online & offline classes. Provide proxy interviews & technical support to help students get placed. Prepare assessments, track performance & guide for certifications.

Skills Required Deep Learning Expertise: Strong understanding of deep learning concepts, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), transfer learning, etc. Proficiency in Machine Learning Frameworks: Hands-on experience with popular frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Mathematics for Machine Learning: Solid knowledge of mathematical foundations, including linear algebra, probability, statistics, and optimization algorithms related to deep learning. Experience in Model Building: Ability to build, train, and optimize deep learning models for different use cases like image classification, NLP, speech recognition, etc. Content Development Skills: Experience in creating comprehensive learning materials, including video lectures, assignments, quizzes, and projects for students. Programming Proficiency: Strong knowledge of Python and libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Cloud and Deployment: Familiarity with deploying deep learning models on cloud platforms like AWS, GCP, or Azure. Hands-on Projects: Experience in creating hands-on projects to help students apply learned concepts practically. Pedagogy & Curriculum Development: Ability to structure and organize technical content clearly and logically to suit a range of learning levels. Communication Skills: Excellent written and verbal communication skills to explain complex technical concepts simply and effectively. Collaboration Skills: Ability to work with instructors, instructional designers, and subject matter experts to create engaging and accurate content. Prior experience in content development is preferred. Responsibilities Assist the Technical Content Developer (TCD) in creating high-quality technical content across various formats such as text, video scripts, presentations, and interactive materials. Support the TCD in researching and gathering resources to ensure the accuracy and relevance of the content. Collaborate with Subject Matter Experts (SMEs) and other team members to refine and polish content for final delivery. Contribute to developing curriculum outlines, roadmaps, and learning objectives under the guidance of the TCD. Ensure content is optimized for different learning formats, adapting materials as required. Participate in regular content reviews and provide suggestions for improvements or updates based on learner feedback. Stay updated on industry trends and assist in incorporating emerging technologies and techniques into the content. Manage smaller content projects independently while maintaining alignment with the overall curriculum goals. Job Overview Location : NxtWave Office Spaces in Hyderabad Job Type : Full-Time Working days : 5