5225 Generative Ai Jobs - Page 40

We are seeking a highly capable and forward-thinking Lead Data Scientist with a product mindset to join our CPG innovation product team. This role demands a strong foundation in machine learning, optimization, and generative AI, with the ability to translate complex data into actionable insights. The ideal candidate will contribute to the design and development of a licensable digital commerce platform by building scalable models, optimizing performance, and supporting data-driven product innovation. Key Responsibilities: 1. Predictive & Prescriptive Modeling Design, develop, and deploy advanced models including. Have worked on or have some knowledge of- Optimization models : Solver-based (S...

Were building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering. This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills — ideal for those who love building scalable systems from the ground up. You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability. Required Qualifications: 11-16 years of experience in working on ML projects that includes product building mindset, strong hands on skills, technical leadership, leading development teams Model development, training, deployment at scale, monitoring performance for produ...

As an NLP Lead Data Scientist, you will be building solutions that require analysing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities : Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate...

opening with a leading Construction company for their office in Chennai Note: Work from office only & 6 days a week Role: Principal data Scientist Roles & Responsibilities : Scope of the Role: The Principal Data Scientist will lead the architecture, development, and deployment of cutting-edge AI solutions, driving innovation in machine learning, deep learning, and generative AI. The role demands cutting edge expertise in advanced Gen AI development, Agentic AI development, optimization, and integration with enterprise-scale applications while fostering an experimental and forward-thinking environment. This senior level hands-on role offers an immediate opportunity to lead next-gen AI innovat...

Role & responsibilities: We are looking for fresh candidates with a strong passion for Generative AI and Natural Language Processing (NLP) to join our team. In this role, you will have the opportunity to learn and contribute to the development of cutting-edge AI solutions, working with state-of-the-art technologies such as transformers, text generation, and sentiment analysis. You will gain hands-on experience in building and fine-tuning Generative AI models, particularly focusing on NLP tasks. This is a fantastic opportunity to grow alongside a team of experts, tackle real-world challenges, and advance the field of AI. We seek individuals with curiosity, a strong learning mindset, and a des...

Role & responsibilities We are hiring a Senior AI/ML Engineer to lead projects in Deep Learning, Generative AI, and Agentic AI. The candidate should be experienced in developing advanced ML models, integrating APIs, and deploying solutions in cloud and containerized environments. Skills Required: Domain: Machine Learning / Deep Learning / Generative AI / Agentic AI Framework / Library: scikit-learn, PyTorch or TensorFlow / Keras, Transformers, LangGraph, Hugging Face, RAG / Graph RAG / n8n Programming Languages: Python (Data Structures & Algorithms), Bash scripting Optional Language: R / C++ Libraries Data Engineering: Pandas, NumPy Libraries Data Visualization: Matplotlib, Seaborn, Plotly, ...

Looking for a Python Developer with 4-6 years of experience, strong coding & DSA skills, experience in React/HTML/CSS/JS, REST APIs, microservices, concurrency, Gen-AI (LLM prompt engineering), and cloud deployments.

Roles and Responsibilities : Design, develop, and maintain automated tests using Selenium WebDriver for web applications. Collaborate with cross-functional teams to identify requirements and create test plans. Develop API automation scripts using Python programming language to integrate with backend systems. Troubleshoot issues and debug code to ensure high-quality deliverables. Job Requirements : 2-4 years of experience in software testing or related field. Strong knowledge of Selenium WebDriver for automating web applications. Proficiency in Python programming language for developing APIs.

Job Description: We are looking for highly motivated interns and early graduates passionate about AI, Machine Learning, and Large Language Models (LLMs) to join our Data Science team. You will work on real-world problems involving GenAI, NLP, model fine-tuning, and data-driven insights , collaborating with experienced ML engineers and data scientists. Responsibilities: Assist in building and fine-tuning LLMs, NLP, and GenAI-based models . Work on data preprocessing, feature engineering, and model evaluation . Collaborate with cross-functional teams to integrate models into applications. Analyze datasets using Python, Pandas, NumPy, and visualization tools . Research and experiment with promp...

Responsibilities: - Partner with product, ML, and DevOps teams to translate business goals into GenAI software solutions. - Design, build, and maintain Python-based GenAI services, APIs, and micro-servicesleveraging FastAPI for REST endpoints as well as WebSockets and WebRTC for real-time, bi-directional communication. - Implement event-driven architectures (e.g., Kafka, Pub/Sub) for low-latency data ingestion and inference. - Containerize and orchestrate services with Docker and Kubernetes for reliable, scalable deployments. - Engineer data-lake integrations that handle high-volume structured and unstructured data for RAG and fine-tuning workflows. - Enforce modular, reusable, and secure co...

About the Role Were building a high-performance chat platform and seeking an AI/GenAI Engineer to lead the integration and optimization of Large Language Models (LLMs). Youll design intelligent chat pipelines, fine-tune models for domain use cases, and collaborate with our React and Python teams to deliver real-time, high-quality AI experiences at scale. Key Responsibilities Integrate and optimize LLM APIs (OpenAI, Claude, Gemini, open-source models). Design robust API wrappers, handle streaming, rate limiting, and error recovery. Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, etc.). Develop prompt engineering, fine-tuning (LoRA/QLoRA), and domain adaptation strat...

We are seeking a DevOps Technical Lead with a strong background in infrastructure automation, cloud architecture, and a keen interest in Generative AI technologies. The ideal candidate will lead the development of an Infrastructure Agent powered by GenAI capable of intelligent provisioning, configuration, observability, and self-healing. Key Responsibilities: Lead architecture & design of an intelligent Infra Agent leveraging GenAI capabilities. Integrate LLMs and automation frameworks (e.g., LangChain, OpenAI, Hugging Face) to enhance DevOps workflows. Build solutions that automate infrastructure provisioning , CI/CD , incident remediation , and drift detection . Develop reusable components...

Role & responsibilities: Required skills 9+ years of professional experience in building Machine Learning models & systems 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language mode...

Role & responsibilities AI Model Development: Design, develop, and implement generative AI models for various applications, such as natural language generation, image synthesis, and data augmentation. Research and Innovation: Stay updated with the latest trends and advancements in Generative AI and machine learning, and incorporate new techniques into existing projects. Software Development: Write clean, efficient, and scalable code for AI/ML algorithms and integrate them into production systems. Data Handling: Prepare and preprocess datasets for training and testing generative models, ensuring data quality and relevance. Collaboration: Work closely with cross-functional teams including data...

About Us CLOUDSUFI, a Google Cloud Premier Partner , a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance. Our Values We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community. Equal Opportunity Statement CLOUDSUFI is an equal oppor...

Job Title: GenAI Developer Specialist Total Experience : 6-12 years Experience in AI: 2+ years (Hands-on) Role Summary: Were looking for a GenAI Developer with strong experience in building and deploying real-world applications using LLMs, vector DBs, and cloud AI services. The role involves end-to-end design and development of scalable, production-ready GenAI systems. Candidates must explain real-world challenges faced during implementations. Key Responsibilities: Build GenAI apps using models like GPT, Claude, LLaMA with prompt engineering. Develop RAG pipelines, multimodal use cases, and agent-based workflows. Optimize cost by identifying AI opportunities and delivering efficient use case...

Role & responsibilities Conduct web research on competitor companies and industry trends. Use AI tools to generate images / videos , gather and analyze information for research reports. Develop and submit detailed research reports periodically. Reach out to potential leads and maintain communication records. Assist in collecting and organizing data for business insights. Demonstrate enthusiasm and willingness to explore and learn through online research. Preferred candidate profile Students / Freshers from any domain with interest and curiosity are welcome to apply. No prior experience required. Should have an interest in internet research and AI tools. Enthusiastic, eager to learn, and will...

Job Description (Job Summary/Roles & Responsibilities) Design, develop, and maintain scalable backend systems using Node.js and Python. Integrate Generative AI technologies into applications to solve real-world problems and enhance user experiences. Collaborate with cross-functional teams including product managers, data scientists, and UX designers to deliver high-quality solutions. Optimize performance, ensure security compliance, and debug production issues in large-scale distributed systems. Keep up-to-date with emerging trends in Generative AI and backend development to propose and implement innovative ideas. Mentor junior engineers and contribute to a culture of technical excellence wi...

Role & responsibilities Design, craft, and optimize effective prompts for Generative AI models to achieve desired outputs. Collaborate with data scientists and developers to integrate AI-generated responses into applications. Evaluate model outputs for accuracy, coherence, and performance. Experiment with different prompt structures to improve model response quality. Maintain detailed documentation of prompt templates, use cases, and results. Stay updated on the latest trends and advancements in GenAI, LLMs, and prompt engineering. Preferred candidate profile 1-4 years of experience in AI, NLP, or software development roles. Proven experience in prompt writing for large language models (LLMs...

Qualifications 2 to 10 years of professional experience in software development. High proficiency in Python and its relevant libraries Strong hands-on experience with any cloud ecosystem. Exposure to Large Language Models (LLMs) Experience with Retrieval-Augmented Generation (RAG) frameworks and implementations Familiarity with Lang-Chain or similar frameworks. Experience with RESTful APIs and microservices architecture. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication and collaboration skills. Roles & Responsibilities Design & develop and implement generative AI applications using Python and any cloud 's AI/ML services. Collaborate with pr...

About the Role: We are looking for an experienced Cloud & DevOps Engineer with strong expertise in Azure and AWS platforms . The ideal candidate should have hands-on experience in designing, building, and automating cloud infrastructure using modern DevOps tools and practices. Key Responsibilities: Design and implement secure, scalable, and cost-efficient cloud architectures (Azure/AWS). Develop and manage CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions. Automate infrastructure provisioning using Terraform and other IaC tools. Work with Docker and Kubernetes for containerization and orchestration. Implement and maintain monitoring and logging solutions (Azure Monitor, CloudWat...

Responsibilities may include the following and other duties may be assigned: Design, develop, and implement machine learning models and algorithms to solve complex business problems. Use software design principles to develop production ready code. Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. Optimize and fine-tune machine learning models for performance and accuracy. Deploy machine learning models into production environments and monitor their performance. Develop processes and tools to monitor and analyze model performance and data accuracy. Stay up to date with the latest advancements in machine learning and apply them to improve existing m...

Greetings from RPS consulting ! We are looking for Corporate Trainer (On Role) Below mentioned are the JD. 1. Data Management & Preprocessing Collecting, curating, cleaning, and labeling training data. Ensuring data quality, consistency, and relevance. Anonymizing and securing sensitive information. 2. Model Development & Fine-tuning Developing or selecting appropriate generative models (e.g., GPT, BERT, DALL•E, StyleGAN). Fine-tuning pre-trained models on domain-specific data. Incorporating reinforcement learning or prompt engineering for better performance. 3. Prompt Engineering Designing and refining prompts to guide model outputs. Creating reusable prompt templates for different tasks (e...

Architect and deploy scalable, production-ready GenAI/Agentic AI solutions. Expert in LLMs, RAG, prompt engineering, Python, MLOps (cloud/containerization/CI/CD), and vector DBs. Requires strong coding, fine-tuning, and FastAPI/ORM skills.

Job Description REQUIREMENTS: Total experience 10+ years. Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers) Should have expert-level prompt engineering skills and proven experience implementing RAG patterns High proficiency in Python and standard AI/ML libraries (e.g., LangChain,LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn,PyTorch/TensorFlow). Experience implementing RAG architectures and prompt engineering. Strong experience with fine-tuning and distillation techniques and evaluation. Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Mach...