34 Llm Models Jobs - Page 2

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

Responsibilities : Design and develop LLM-powered applications using Python and Azure OpenAI services. Extend digital products and platforms, and LLM Apps , with new capabilities Support adoption of digital platforms and LLM Apps, by onboarding new clients Driving automation to expedite and accelerate new client adoption Build end-to-end Retrieval-Augmented Generation (RAG) pipelines , integrating vector databases, semantic search and other related tools. Develop conversational agents and virtual assistants , using frameworks like LangChain or LlamaIndex. Craft effective prompts using advanced prompt engineering and prompt design techniques . Integrate LLMs with external tools, APIs, and business data systems. Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together Deploy and manage applications using Azure Functions , Azure AI services , and serverless components . Ensure performance, scalability, and reliability of AI solutions on Azure. Collaborate across teams and participate in agile development processes. Required Skills (Must Have): Strong proficiency in Python programming language. Expertise in Azure OpenAI Service , including foundation model usage, GPT Model family, and integration. Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure AI Search). Deep understanding of vector databases and hybrid search capabilities built on top of Azure AI Search Deep experience in prompt engineering , including various prompting strategies (few-shot, chain-of-thought, etc.). Hands-on experience and deep expertise in building RAG pipelines with vector databases and tool integrations. Proven experience developing chatbots or virtual assistants using LLMs. Proficiency in at least one LLM application framework (preferably., LangChain ,). In-depth understanding of LLM models , their capabilities, and applications. Good understanding of LLM evaluations , and how to evaluate LLM model outputs. Experience deploying with Azure Function Apps and broader Azure ecosystem . Solid grasp of API integrations and data workflow design . Solid experience building automation workflows and automation solutions for LLM Apps and Products, to support new client onboarding Solid experience with data and content indexing pipelines to setup new knowledge bases” for RAG and LLM solutions Strong problem-solving skills and ability to deliver scalable, efficient code. Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs Familiarity with Multi-Agent AI orchestration and agentic workflows . Experience building cloud-native services with serverless architectures . Understanding of NLP techniques and data transformation pipelines . Familiarity with LLMOps concepts and AI model lifecycle. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile).

We are seeking an experienced Data Engineer, skilled in building and managing data orchestration pipelines within cloud-native environments. The ideal candidate will have extensive experience with Kubernetes, Airflow, Python, modern observability tools (Grafana + Prometheus) and Google Cloud Platform (GCP). You will be responsible for designing, developing, and maintaining data pipelines that support NLP and LLM models, ensuring data quality, scalability, and reliability. Key Responsibilities: Design and Develop Data Pipelines: Create, manage, and optimize data collection and processing pipelines using Airflow, Kubernetes (GKE), and GCP to handle large volumes of text-based social media data. Cloud Infrastructure Management: Implement and maintain cloud infrastructure on GCP, ensuring high availability, scalability, and security of data processing environments. Data Integration: Develop robust data integration solutions to aggregate data from various social media platforms and other sources, ensuring data consistency and reliability. NLP and LLM Model Support: Work closely with data scientists and machine learning engineers to support the deployment and maintenance of NLP and LLM models in production. Database Management: Design, manage, and optimize databases for storage and retrieval of large-scale text data, ensuring efficient data access and query performance. Version Control: Utilize Git for version control and collaboration on codebases, ensuring best practices in code management and deployment. Performance Tuning: Monitor and improve the performance of data pipelines, identifying and resolving bottlenecks and inefficiencies. Documentation: Maintain comprehensive documentation for all data engineering processes, ensuring transparency and knowledge sharing within the team. Collaboration: Work collaboratively with cross-functional teams, including data scientists, product managers, and other stakeholders, to understand data requirements and deliver solutions that meet business needs. Requirements: Airflow on GKE Production Experience DAG authoring, Helm/Terraform cluster provisioning, autoscaling (KEDA/HPA/GKE Autopilot), and CI/CD of DAGs. Observability & Monitoring Vision Hands-on dashboarding in Grafana , metrics via Prometheus/Cloud Monitoring, and definition of SLA/SLOs for pipelines. Python Expertise Advanced Python for data processing, custom Airflow operators/hooks/sensors, and familiarity with Airflow 2.x. GCP Core Services Daily use of BigQuery, Cloud Storage, Pub/Sub, Secret Manager, IAM/Workload Identity, VPC-SC; infrastructure as code with Terraform. Database & SQL Skills Proficiency with relational databases (PostgreSQL) Git & DevOps Practices Branching strategies, code reviews, automated testing, and GitOps-style deployments. Preferred / Bonus: Prior experience supporting large-scale NLP or LLM workloads. Familiarity with social-media APIs (Twitter/X, Reddit, TikTok, Meta). GCP Professional Data Engineer or Cloud DevOps Engineer certification.

About this role: Wells Fargo is seeking a Senior Software Engineer In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients' needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 4 years of strong hands-on experience in full stack development using .NET MVC core, React/Angular JS, JQuery and Javascript Hands on experience in developing and using RESTful Application Program Interface (API) Hands on experience in working in private cloud environment (PCF/OCP) and/or public cloud environment (GCP or Azure) Experience in Behavioral Driven Development (BDD) & Domain Driven Development (DDD). Excellent technical design documentation and verbal communication skills Experience with Database Performance Tuning, Scaling, Security, Resiliency Best Practices Hands on experience in delivering high value projects in Agile (SCRUM) methodology using preferably JIRA tool. Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines Act as senior member of the team and work closely with various business stakeholders to understand requirements, define and develop appropriate solutions Unit Testing (NUnit preferred)/ BDD - Scripting & Automated Testing, Continuous Integration and deployment (Jenkins) Good business communication skills in English System Knowledge & Analysis Problem solving & critical thinking Job Expectations : Certification in Google/Azure Cloud Proficient in technologies such as Kafka, Real time data processing and Business Intelligence tools Experience with GenAI tools, including an in-depth exploration of various LLM models, efficient utilization techniques Experience in Banking Domain

Role & responsibilities Define and drive the technical vision and strategic roadmap for Data APIs and related platform capabilities. Work closely with product management and stakeholders to translate requirements into scalable solutions. Lead initiatives around AI/ML integration, ensuring alignment with business goals and technical feasibility. Champion best practices in API design, performance, security, and maintainability. Manage project timelines and deliverables, ensuring on-time and high-quality outcomes. Provide mentorship and technical guidance to developers across the team. Design, develop, and maintain RESTful APIs using Python with Flask or Django frameworks. Develop backend services that support data ingestion, geospatial analysis, and real-time data access. Write efficient, optimized SQL queries across PostgreSQL, MS SQL, and MySQL databases. Implement secure authentication and authorization mechanisms (SSO, OAuth2). Integrate and operationalize AI/ML models within backend systems. Troubleshoot and resolve complex issues in a production environment. Lead code reviews and enforce clean, scalable code practices. Provide hands-on mentorship and technical guidance to mid-level and junior developers. Contribute to and improve CI/CD pipelines and development workflows. Debug and resolve complex technical issues and guide the team in best practices. Preferred candidate profile 5+ years of professional experience in backend/API development with Python. 3+ years in a technical leadership or lead developer capacity. Strong experience with Flask, Django, or similar Python web frameworks. Solid expertise in RESTful API design, development, and maintenance. Knowledge in Large language models and integrating with in the application Fine tuning LLM models Understanding of Agentic AI and agent development Advanced SQL proficiency and experience working with PostgreSQL, MySQL, or MS SQL. Familiarity with Git, CI/CD pipelines, and collaborative development workflows. Understanding of SSO/OAuth protocols and security best practices in web applications. Experience in defining and delivering a technical roadmap and working in Agile/Scrum teams. Proven ability to lead teams, mentor developers, and manage priorities in a cross-functional environment. Excellent communication skills and ability to work across technical and non-technical teams. Good to Have: Hands-on experience with AI/ML integration in applications or data pipelines. Familiarity with PySpark, SparkSQL, and platforms like Databricks. Knowledge of the Data Analytics and geospatial domains. Exposure to Linux administration and DevOps tools. Understanding of ReactJS or similar frontend libraries (for full-stack awareness). Passion for innovation and continuous learning.

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

Meet the Team Our Licensing Experience and Operation team, collaborates with multi-functional collaborators to provide and handle the capabilities required for on-premises software, license and documentation setup and delivery, provisioning and device activation. Our service is key to achieving Ciscos Recurring Revenue strategies, handling software and licensing distribution to ALL routes to market. The role also involves extensive cross organization collaboration with internal collaborators such as Business Units, IT Architects and Program Managers. Your Impact You are a motivated and agile self-starter with the ability to drive multiple complex and sometimes ambiguous programs to completion. Proficient in project management tools and methodologies, you are confident in facilitating effective meetings and preparing and communicating project analysis, status updates, challenges, and other key insights that resonate with executive leadership. You thrive in team environments, demonstrating clear and concise communication skills, active listening, and effective questioning techniques to resolve issues. Resourceful and adaptable, you excel at handling or leading project teams of varying sizes and diverse abilities to achieve optimal results, handling interdependencies and leading horizontally across functions. You have experience communicating with senior management to drive alignment among business partners from diverse functions, writing detailed specifications of user requirements, business processes, and procedures for implementing software solutions, and leading projects effectively. With a strong desire to learn and work independently in a fast-paced, high-growth environment, you also collaborate effectively with cross-functional teams of business analysts and developers while maintaining meticulous attention to detail. Minimum Qualifications : 4-7 years of demonstrated experience, including: Experience in Program and Product Management: Demonstrated ability to lead end-to-end programs and products, including defining strategy, planning, execution, and delivery, while ensuring alignment with collaborators, meeting deadlines, and achieving business objectives Experience in AI/Automation Projects: Hands-on experience leading programs or products in the AI or automation domain, with a focus on delivering value-driven solutions Requirements Gathering and Documentation: Strong skills in gathering, analyzing, and writing detailed business requirements and user stories to drive product and project outcomes. Data Analysis Skills: Ability to analyze AI model and project-related data to identify trends, areas of improvement, measure success, and inform decision-making. Strong Communication and Collaboration Skills: Excellent ability to connect with cross-functional teams, technical partners, and leadership, with a focus on clear and concise documentation and presentations. Preferred Qualifications : Knowledge of Emerging Technologies: Familiarity with AI/ML concepts (e.g. Agentic framework, RAG/LLM models), automation tools (e.g., AI Assistants), with the ability to bridge the gap between technical teams and business needs.

Role & responsibilities Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement: -Need some knowledge of genAI - past 1-2 projects -Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience -Manage application on Kubernetes, ensure high scalability and availability. -Experience in typescript (they will be developing extensions written in typescript) -Design develop and deploy scalable python APIs -Once deployed, need to debug that issue in the endpoints. -Knowledge on LLM models.

Dear Candidate, Greetings from IDEXCEL Technologies!! Please find the employment opportunity with I dexcel, Designation: GenAI Engineer Company Name: IDEXCEL technologies, Full Time. Experience: 5+ Years Notice Period: immediate to 20 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode: Only one Round (F2F) Work Locations: Bengaluru, Hyderabad (Yellareddy Guda) Please go through the attachment for job description. Generative AI Engineer Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: Design, develop, deploy GenAI applications using LM's, agent framework and related technologies Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones Troubleshoot and resolve complex technical issues related to applicationsand models Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk Resolve coding, testing and escalated platform issues of a technically challenging nature Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Collaborate and influence all levels of professionals including managers Required Qualifications: 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in software development 5+ years of Python, JavaScript or Java and other relevant technologies 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering Knowledge agentic design patterns Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting Note : We are looking for Immediate Joiners and if interested please share your updated Cv following mail ID : blikhith@idexcel.com