11 Llm Model Jobs

About the Role: 08 The Team: The team drives new product innovation in the Maritime and Trade domain, leveraging cutting-edge machine learning algorithms to build scalable, intelligent solutions. Beyond product development, the team also leads the execution of complex, high-impact client projects, often operating across functional and geographical boundaries. What sets this team apart is its strong blend of technical excellence, domain depth, and collaborative agility-valuing innovation, ownership, and real-world impact. The Impact: This role plays a critical part in driving innovation by continuously ideating and developing novel solutions aligned with business needs and emerging market tre...

Responsibilities: Continuously explore GenAI and Agentic platforms for automation of internal processes, maintaining an expert understanding of evolving compliance requirements within regulated environments. Prototype end-to-end solutions using AI frameworks to address real-world customer challenges efficiently and creatively. Design, architect, and implement agent workflows that blend large language models (LLMs), retrieval-augmented generation (RAG), and diverse toolchains to integrate internal and external data sources. Develop interactive, lightweight UIs and demos capable of clearly demonstrating solution value to both executive and operational stakeholders. Champion the adoption of AI-...

Minimum 10 years of IT experience Out of which minimum of 4 years experience in data engineering and Azure AI Must have worked in at least 12 GenAI customer project or PoC with a recent LLM model Handson experience in Retrieved Augmented Generation RAG Semantic Kernel Prompt Engineering Azure Open AI Azure ML Form Recognizer Cognitive Search Vector Databases Handson experience in deploying a variety of generative models Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing Python and PySpark FlaskFastAPI Exposure to LLMbased Generative AI frameworksplatforms is a plus Pr...

You are invited to join our team as a Software Engineer specializing in AI/ML tools. With a minimum of 3 to 6 years of experience, you will play a crucial role in transforming natural language data into valuable features using NLP techniques to support classification algorithms. Your responsibilities will include statistical analysis, machine learning methods, and text representation techniques, ensuring the effective design of software architecture. As an ideal candidate, you will have proven experience as an NLP Engineer or in a similar role, along with a deep understanding of NLP techniques for text representation, Information Extraction, semantic extraction techniques, data structures, a...

Understanding of business requirements from the discovered information is crucial for the successful implementation of the project. Collaborating with the AI Architect to select the appropriate LLM Model and its variants for optimal performance and cost efficiency is a key responsibility. It is essential to engage in high-level and low-level designing of the solution in alignment with the architected solution to ensure a robust outcome. Optimizing the design considering various aspects such as performance, security, scalability, portability, and maintainability is necessary for overall success. Close collaboration with the Customer's Program Owner is required to foster a strong partnership b...

Job Title: Technology Lead Experience: 5+ Years Notice Period : Immediate Location: Bangalore (Hybrid) Detailed job description - Skill Set: We are looking for a well-versed Gen AI-ML resource who can work on the AWS Sagemaker for LLM Model training and also can perform development using Terraform. Mandatory Skills AWS Sagemaker, Terraform, LLM Model training

Role & responsibilities AWS Sagemaker, Terraform, LLM Model training Preferred candidate profile

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-3-9YRS In Gen AI AWS PKG Upto-25LPA Loc- Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Gen AI+AWS Skill-Gen AI,AWS,AI Platform,Python,Tensorflow,Langchain,LLM Model,ML Development, AWS Lambda,AWS Bedrock,Data Extraction Exp-4-12YRS In Gen AI AWS PKG Upto-25LPA Loc-Bang, Pune NP-Imm-30Days Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile Gen AI + AWS Mandatory Skill-Gen AI, AWS,AI Platform, Python, Tensor flow, Lang chain, LLM Model, ML Development, AWS Lambda, AWS Bedrock, AWS AI, Data Extraction, GEN AI Solution, RPA Tool

Role Brief: We are seeking a skilled and experienced MLOps Engineer to join our team and drive the operationalization of machine learning models and pipelines at scale. The ideal candidate will be responsible for automating, deploying, monitoring, and maintaining AI/ML solutions. Turning prototypes into robust, customer- ready solutions while mitigating risks like production pipeline failures, will be primary. This role requires expertise in infrastructure management, CI/CD pipelines, cloud services, model orchestration and collaboration with cross- functional teams to ensure seamless deployment into diverse customer environments. Primary Responsibilities: Strategizing and implementing scala...

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 h...