1040 Llm Jobs

Solution Architect (Azure)Experienced in Power Apps / Automate, Azure PaaS Services such as Logic Apps, Service Bus, Events and exposure to Azure Platform aspects (Landing Zone and GTM etc) Exposure to Azure AI Foundry services, hands on experience not mandatory. But should have broader understanding of LLMs, Industry leading AI / Gen AI tools. Ability to craft architecture decisions based on justification suited for the requirement Act as custodian for Architecture & Design

Are you prepared to have a significant impact on the world of wealth management Join our International Consumer Bank Advisor Support team in India and be part of a dynamic environment where your skills and passion will drive innovation and bolster our global sales organization. We provide unparalleled opportunities for career advancement in a collaborative setting where you can excel and contribute to meaningful projects. As a Solutions Assistant within the International Consumer Bank Advisor Support India team, you will function as an extension of the London-based Wealth Services team. Your role will be pivotal in supporting client advisors throughout the sales life cycle, from prospecting and lead generation to client onboarding and portfolio reviews. Your efforts will align with business priorities and elevate the overall client experience. The International Consumer Bank (GPB) Advisor Support India team plays a crucial role in the global sales organization, collaborating closely with Client Advisors, Investment Specialists, Lending Advisors, Wealth Advisors, and Market/Regional Leadership to drive activities across the client/sales life cycle. We operate in a globally integrated manner, aligning with Advisors of a specific Region/Market to support business objectives. Our focus areas include prospecting, pitchbook creation, marketing materials updating, client onboarding support, and continuous client portfolio reviews and analysis. Responsibilities: - Load potential opportunities into Salesforce and maintain precise records. - Review opportunities and handle administrative tasks related to funding and finance reconciliation. - Conduct competitor analysis to identify market trends and opportunities. - Supervise pension/ISA transfers, including follow-ups with providers and clients. - Prepare client documents and collaborate with the business team to progress them. - Research prospects using databases and search methods, creating bios for Wealth Manager meetings. - Develop materials for prospective client meetings, including background research and portfolio analysis. - Compile business reports, such as monthly and quarterly reviews for the team. Required Qualifications, Capabilities, and Skills: - Minimum of 4 years of professional experience in a similar role. - Strong stakeholder engagement skills; proficiency in English is mandatory. - Proficiency in PowerPoint and Excel; familiarity with tools like Alteryx, Tableau, and LLM is advantageous. - Comprehensive understanding of client management needs and sensitivities; utmost discretion with confidential matters. - Ability to work with minimal to moderate supervision; adaptable to challenging environments. - Inclination to grasp market dynamics and develop expertise. Preferred Qualifications, Capabilities, and Skills: - Solid analytical and problem-solving abilities. - Capability to work collaboratively within a team with high attention to detail and accuracy in work. - Flexibility to work in different shifts and locations as required; presence in the office for all five workdays is mandatory. - University degree holder (preferred MBA/CFA/CA/FRM). - Knowledge of German, Spanish, or Portuguese is an added advantage.,

The position available is for the role of Data Scientist on a permanent, full-time basis. The ideal candidate should possess at least 7 years of experience in the field. The job location can be in Noida, Gurgaon, Pune, or Bangalore, with the standard working week being 5 days. The work mode for this role is Hybrid. The mandatory skills required for this position include expertise in Transformer Models, with experience in either finetuning or training on Open-Source Transformer-based models. The candidate should have completed projects involving LLM, NLP, LLAMA, Hugging face, and RAG. Proficiency in Python coding is a must, along with experience in Gen AI projects. Additionally, the candidate should have knowledge of either Machine Learning or Deep Learning. Experience with Conversational AI/Chatbot is considered a plus for this role.,

You will be a Software Engineer based in Lucknow, responsible for developing, testing, and maintaining software programs. Your daily responsibilities will include writing code, debugging, and working closely with team members to create software solutions. This role will focus on back-end web development, problem-solving, and ensuring that the software meets company standards and guidelines. Your technical skills should include proficiency in Python, Django, Flask, FastAPI, Node.js, Selenium, Java, SpringBoot, LLM, Mango DB, PostgreSQL, and MySQL. The ideal candidate will have a minimum of 1-2 years of experience in the field.,

We are looking for a talented developer specialist to join Amdocs amAIz - a pioneering telco generative AI framework. As a developer specialist, you must have a Bachelor's degree in science/IT/Computing or equivalent, along with at least 5 years of experience as a software engineer/developer. Proficiency in Python and experience with various LLM and GenAI libraries such as Lang Chain and Lang Graph is required. Additionally, you should be proficient with container management tools like Kubernetes, Docker, and CI/CD pipeline practices, as well as have experience in software development methodologies like Agile or Scrum. Your responsibilities will include designing, developing, and implementing generative AI models and algorithms using cutting-edge techniques like GPT. You will be tasked with investigating issues, reviewing/debugging code, providing fixes, and maintaining existing software solutions. Continuous improvement and efficiency enhancements through software engineering tools and innovative techniques will be a key aspect of your role. You will also lead discussions related to product/application/modules/teams and establish relationships with internal customers/partners. Joining our team will give you the opportunity to serve as a specialist in software and technology. You will actively participate in technical mentoring within the team, while enjoying stellar benefits ranging from health and dental to paid time off and parental leave. Amdocs, a market leader in software products and services, empowers customers to provide next-generation communication and media experiences. We are committed to accelerating service providers" migration to the cloud, enabling differentiation in the 5G era, and digitalizing and automating operations. Amdocs is proud to be an equal opportunity employer, welcoming applicants from all backgrounds and fostering a diverse and inclusive workforce.,

As a highly skilled and experienced Generative AI Developer, you will be responsible for designing, developing, and implementing generative AI models using state-of-the-art techniques. Your role will involve collaborating with cross-functional teams to define project goals, research requirements, and develop innovative solutions. It will be crucial to optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Your expertise in generative AI Models, Frameworks, and techniques will be essential in applying them to develop innovative solutions. You will have hands-on exposure to integrating at least one of the popular LLM API endpoints such as OpenAI, Claude, Mistral. Additionally, your proven track record of working in cloud computing environments will enable you to deploy and manage machine learning models in the cloud effectively. Staying up-to-date on the latest advancements in generative AI, deep learning, and related fields will be vital for incorporating new techniques and methods into the team's workflow. Clear and concise documentation of generative AI models, processes, and results will be expected from you. Effective communication of complex concepts and results to both technical and non-technical stakeholders will play a key role in your responsibilities. Furthermore, you will provide support and guidance to other team members, contributing to a positive and collaborative working environment. Your qualifications should include a Bachelor's degree in computer science, artificial intelligence, or a related field, along with at least 2 years of relevant experience in generative AI development. Strong programming skills in Python with 8+ years, experience in AI/ML, proficiency in machine learning frameworks such as Lang chain, llama-index, FastAPI, Tensor Flow, PyTorch, or scikit-learn, experience with cloud computing platforms like Azure, excellent communication, and problem-solving skills, as well as the ability to work both independently and as part of a team.,

Offshore based developer with following skills: Experiences with LLM, pref Llama. RAG; fine tuning; agent to agent communication & Integration. Good to have small models like Phi Good Communication

As a .Net AI Developer at Unified Cloud Pvt. Ltd., you will be an integral part of the Azure Open AI Solution Team in Noida. Unified Cloud LLC, a leading provider of cloud modernization and migration services focusing on Azure technologies, is looking for an experienced professional to enhance their cloud services with AI-driven innovation. Your responsibilities will include creating and maintaining web-based applications using cutting-edge .NET technologies such as ASP.NET, C#, MVC, and Web API. Collaborating with the team, you will define software requirements and technical designs while ensuring clean, efficient, and well-documented code adhering to industry best practices. Additionally, you will implement front-end interfaces using HTML, CSS, and JavaScript frameworks like Angular, React, or Vue.js, along with designing and optimizing relational databases for optimal performance. To excel in this role, you should demonstrate proficiency in SQL, MVC, .NET, and Azure Cloud, with expertise in AI/ML technologies, especially Azure OpenAI. Your programming skills in languages like C#, Python, and R will be crucial, along with familiarity in AI technologies such as LLM, NLP, and DL. A comprehensive understanding of cloud services, particularly Azure, and adaptability to a dynamic work environment are essential. Preferred skills include experience with Azure OpenAI, general AI, and Generative AI, as well as knowledge of other cloud platforms like GCP and AWS. If you are passionate about cloud technology and AI-driven innovation, and if you meet the requirements mentioned above, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and contributions you can bring to our team. For more details or to apply for this position, please contact us at snehlataj@unifycloud.com.,

Details: Job Description Stefanini Group is a multinational company with a global presence in 41 countries and 44 languages, specializing in technological solutions. We believe in digital innovation and agility to transform businesses for a better future. Our diverse portfolio includes consulting, marketing, mobility, AI services, service desk, field service, and outsourcing solutions. Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame works. Deploying models and building APIS (FAST API, FLASK API) Need to have experience working with GPU&aposS. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Job Requirements Details: Good to have: Knowledge and experience in Kubernetes, docker etc. Cloud Experience working with VM&aposS and azure storage. Sound data engineering experience. Show more Show less

Remote Work: No Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customers and partners needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about locally and globally. Weve only begun reimaging the future for our people, our customers, and the world. Lets create tomorrow together. Analyzes, develops, designs, and maintains software for the organization&aposs products and systems. Performs system integration of software and hardware to maintain throughput and program consistency. Develops, validates, and tests: structures and user documentation. Work may be reviewed for accuracy and overall adequacy. Follows established processes and directions. Responsibilities: Designs, develops, and tests on a variety of software assignments that constitute a portion of a larger project Develops and tests documentation which describes the specific software functionality Participates and provides some input in project code reviews Runs software tests designed by more experienced engineers Reviews test results and perform root cause analyses to identify problems Provides recommendations and implements solutions to complex issues. Insures compliance with quality process and standards Makes changes to or upgrades existing software. Enhances and improves existing technologies to apply to new solutions Makes and implements recommendations to immediate team to enhance performance and improve productivity Seeks out new tools to analyze and solve problems Exercises judgment within defined procedures and practices to determine appropriate action Receives general instructions on routine work, new projects or assignments May provide guidance to non-exempt personnel Builds productive working relationships internally and externally Primary intra-organizational with occasional inter-organizational and external customer contacts on routine matters Familiarity with cloud platforms (GCP) , natural language processing (NLP), LLM and Co-Pilot Contribute to continuous improvement by researching and applying new AI techniques and cloud technologies. Qualifications: Preferred Education: Bachelor&aposs or Masters degree in an appropriate engineering discipline required. Preferred Work Experience (years):Bachelors degree and 2+ years or Masters degree with no experience. All Other Regions: Bachelors or Masters degree in an appropriate engineering discipline required Preferred work experience (years): 2+ years experience To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. Show more Show less

What is Contentstack Contentstack is on a mission to deliver the world&aposs best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today&aposs crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let&aposs go! Roles & Responsibilities The primary purpose of this role is to be part of the R&D Disruptive product team ideating, developing the MVP product developing new products.. Working with emerging technologies Trying out new Technologies and developing prototypes Work with different product and engineering teams for adoption of the emerging tech within the stable products Work across the stack from a code commit to running it in production, with the end goal of delivering the best possible experience for the user Design, develop and test features from inception to rollout Write high quality code that is scalable, testable, maintainable and reliable Collaborate with people across roles to understand the domain and work towards building the right solution Adopt an open mindset for learning new things and working in new roles Continuously improve by working on and providing feedback Requirements Knoweledge of Generative AI (LLM) Experince in integrating with LLM APIs like(function calling, MCP) Experince in working with LLM Agents and creating Agentic AI solution Experince in creating RAG pipeline. experince in Prompt Engineering Ability to learn new skills quickly and apply them to solving tough problems Object-oriented design and development skills Good understanding of the Software Development Life Cycle Knowledge of the following: Html, CSS, Javascript, Node.js Good communication skills Exposure to databases like MongoDB, Redis, and/or any Relational databases is preferred What Really Gets Us Excited About You Working independently on the emerging technologies Curiosity and deep interest in solving problems Project/intern experience in working with software product companies What Do We Offer Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you&aposre doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don&apost believe in artificial hierarchies. If you&aposre part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it&aposs a great time to be joining To review our Privacy Policy, please click here. Show more Show less

Job Description: As an LLMOps Engineer, you will play a crucial role in the deployment, maintenance, and optimization of large language models (LLMs). Your responsibilities will span the entire lifecycle of LLMs, from initial deployment to ongoing operations, ensuring optimal performance, scalability, and reliability. 5+ years of relevant experience in data engineering roles. Key Responsibilities: LLM Deployment and Integration - Deploy and integrate large language models into production environments, ensuring seamless integration with existing systems and applications. Infrastructure Planning and Scaling - Collaborate with cross-functional teams to plan and design the infrastructure required for LLM deployment. Implement scalable solutions to accommodate growing data volumes and user loads. Automation of Deployment Processes - Develop and maintain automation scripts and tools for efficient deployment, scaling, and versioning of LLMs. Streamline deployment processes to minimize downtime. Continuous Monitoring and Alerting - Implement monitoring systems to track LLM performance metrics. Set up alerts for potential issues and respond promptly to ensure uninterrupted service. Performance Monitoring and Optimization - Monitor the performance of LLMs in real-time, conduct regular assessments, and implement optimizations to enhance efficiency and responsiveness. Fault Tolerance and Disaster Recovery - Design and implement fault-tolerant systems for LLMs, incorporating strategies such as redundancy, sharding, and replication. Develop and maintain disaster recovery plans. Security Measures Implementation - Implement robust security measures to safeguard LLMs and associated data. Ensure compliance with data security regulations and industry standards. Collaboration with NLP Engineers and Data Scientists - Collaborate with NLP (Natural Language Processing) engineers and data scientists to understand model requirements and implement necessary infrastructure adjustments. Skills & Tools Infrastructure as Code (IaC) - Experience with IaC tools such as Terraform or Ansible for automating infrastructure provisioning. Containerization and Orchestration - Proficiency in containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing LLM deployments. Cloud Platforms - Familiarity with cloud platforms such as AWS (Bedrock), Azure, or GCP, and experience in deploying and managing applications in a cloud environment. Monitoring and Logging Tools - Knowledge of monitoring tools (e.g., Prometheus, Grafana) and logging systems (e.g., ELK stack) for real-time performance monitoring and analysis. Security Measures - Understanding of security guardrails using tools like LLM Guard and familiarity of how to mask / redact / obfuscate sensitive data, protect the input and output of toxic and harmful content to / from LLMs and understand the performance implications of the same. Scripting and Automation - Proficient in scripting languages such as Python, Shell, or similar, and experience in automating deployment and maintenance processes.

Responsibilities Develop Gen AI POC and solutions for industry verticals. Discuss solution requirements with solution architects and customer interface where necessary Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency. Recommend appropriate technologies and libraries to be used in the client-side stack Staying abreast of the latest developments in technology and industry best practices and identifying where they can be incorporated Qualifications Bachelors degree or above in Computer Science, Software Engineering or Mathematics Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Experience with LLMs Understanding of good design principles and patterns Solid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and problem-solving skills. Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Self-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly. Hands-on of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools. Strong in Object Oriented Programming Concepts. Good in debugging and analytical skills.

Apply here- https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIebwsHHZQFG-FBpsMwy3S3e89UOFNIWU42V1pSQTlXWDMwUTAzSjkzNVRZQy4u Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworksRole & responsibilities Apply here- https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIebwsHHZQFG-FBpsMwy3S3e89UOFNIWU42V1pSQTlXWDMwUTAzSjkzNVRZQy4u

About the Role: We are seeking a talented and experienced GenAI Developer with expertise in Python , Large Language Models (LLMs) , Natural Language Processing (NLP) , and AI agent development to join our dynamic team. The ideal candidate will work on the development and integration of cutting-edge AI solutions in cloud environments (AWS, GCP, Azure), integrating with CRM systems, and optimizing AI model performance. You will be responsible for developing AI agents , fine-tuning models using Hugging Face Transformers , and OpenAI technologies, and optimizing systems to meet business needs in a scalable and ethical manner. The role involves close collaboration with cross-functional teams, and youll be working on AI-driven features , APIs , and cloud integrations. Key Responsibilities: AI Model Development: Design, develop, and fine-tune AI models using OpenAI LLMs , Hugging Face Transformers , and advanced NLP techniques (e.g., prompt engineering , reinforcement learning from human feedback (RLHF) ). Cloud Integration: Develop, deploy, and optimize AI solutions on cloud platforms ( AWS , GCP , Azure ) ensuring scalability , reliability , and performance . API Development & Integration: Build and maintain APIs to integrate AI solutions with CRM platforms and third-party applications. Ensure seamless integration of AI agents into customer-facing systems. Model Interpretability & Transparency: Apply model interpretability tools to ensure transparency and ethical AI practices, and help explain AI model decisions to both technical and non-technical stakeholders. Continuous Learning & Optimization: Stay updated on the latest advancements in LLMs , AI agents , and Generative AI (GenAI) technologies. Continuously optimize the performance of AI models, focusing on accuracy, efficiency, and business needs. Collaboration & Innovation: Work closely with cross-functional teams to design innovative AI-driven features. Contribute to architecture decisions and AI system enhancements. Apply Agile development practices to ensure timely delivery. Candidate Profile: Education: A Bachelor’s degree in Computer Science , Artificial Intelligence , Information Technology , or a related technical field. Experience: 2 to 4 years of professional experience in AI development , with a strong focus on LLMs , NLP , Python , and cloud platforms . Proven experience with model fine-tuning , API development , and cloud integration is essential. Skills Required: Proficiency in Python with experience in Django or other web frameworks. Strong understanding of NLP techniques, including prompt engineering and reinforcement learning . Hands-on experience with Hugging Face Transformers and OpenAI models (GPT, etc.). Strong experience with cloud platforms ( AWS , GCP , Azure ) for deploying AI solutions. Familiarity with version control systems (GitHub, Git). Experience developing and consuming RESTful APIs for seamless third-party integrations. Familiarity with database technologies (e.g., PostgreSQL , MySQL , MongoDB ) and GraphQL is a plus. Preferred Skills: Knowledge of Generative AI (GenAI) frameworks (e.g., Azure OpenAI , DALL•E ). Experience with RAG (retrieval-augmented generation) techniques for improving model performance. Familiarity with tools like Jupyter Notebooks , Streamlit , and Flask for rapid prototyping. Experience with ethical AI practices and ensuring model transparency.

AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) Work Location - J P Nagar Bangalore Lead Time - Immediate Budget 15 LPA About the Role Were seeking an AI Developer who specializes in agentic AI frameworksLangChain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end to end deep learning life cycle (training, scaling, deployment, and monitoring). ScopeWhat You’ll Do Agentic AI Frameworks (Primary Focus) Architect and implement multi agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction Build and fine tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data ingestion, labeling, and augmentation pipelines. LLM Fine Tuning & Retrieval Augmented Generation (RAG) Fine tune open weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain specific adapters. Deep Learning at Scale Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence Build robust APIs/micro services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. Minimum Qualifications B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer vision models for image classification/extraction. Hands on experience fine tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

About You PhD in a relevant discipline or masters plus a comparable level of experience, 5+ years of hands-on experience building NLP / IR systems / Document Processing Systems for commercial applications, Experience writing production code and ensuring we'll-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and leading through others, in an applied research setting, Outstanding communication, problem-solving, and analysis skills, Collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback, Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. (Preferred) Innovate: Develop new skills and capabilities for Document AI, focusing on areas such as document classification, data extraction, and reasoning improvement. Lead research initiatives in LLM benchmarking, grounding, LLM agents, and enhancing the reasoning abilities of large language models. Build & Experiment: Design, test, and deploy state-of-the-art models that expand Document AI ability to address complex, real-world tasks. Collaborate: Partner with engineering teams, product managers, and stakeholders to translate complex challenges into impactful solutions. Mentor & Lead: Guide and support junior researchers, fostering a culture of learning, creativity, and collaboration. Communicate: Publish findings at top-tier conferences (eg, NeurIPS, ACL, EMNLP, SIGIR) and contribute to patents, ensuring our solutions are cutting-edge and competitive.

As a Full Stack Developer, you will be responsible for developing full stack applications by writing clean and efficient code. Your role will involve automating tasks using appropriate tools and scripting, as well as reviewing and debugging code. It will be essential for you to document development phases and closely monitor systems to ensure smooth operation. To excel in this role, you should have at least 2+ years of experience working with Python, Machine Learning, and related frameworks. You should be proficient in creating RESTful APIs using Python Django and have the ability to seamlessly integrate backend APIs with frontend applications. Additionally, you should possess knowledge of developing applications based on machine learning, deep learning, Gen AI, and LLM. Your expertise should include a strong command over programming languages like Python, SQL, and Big Query. Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Langchain, and Vector Base will be highly advantageous. You should also demonstrate excellent problem-solving skills and the capability to work both independently and collaboratively within a team environment. If you are passionate about developing innovative applications and have a keen interest in the field of Machine Learning, this role offers you the opportunity to showcase your skills and contribute to cutting-edge projects.,

You will be responsible for functions, activities, and skills required for the analysis, design, coding, integration, testing, and maintenance of Intelligent Document Processing modules and systems. Your role will involve building NLP based solutions for query and document analysis, processing, information extraction, and document classification, as well as context-based information retrieval. Additionally, you will conduct research to advance the state-of-the-art Deep learning and NLP technologies. As an AI Intern at Xerox Holdings Corporation, you will work in Kochi, India, in a hybrid work mode with timings from 10 AM to 7 PM (IST). The ideal candidate for this role should have 6 months to 1 year of experience and hold a qualification of B. Tech /MCA /BCA. In this role, you will need proficiency and experience working in the technical area of Intelligent Document Processing, including Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, NLP, and more. Experience in designing and developing highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured pdf or images is essential. Additionally, experience in Docker and flask APIs, Redis, and Celery is required. You will closely work with Solution Architects/Team leads, prepare technical design documents, and implement automated deployment. Understanding and practicing AGILE Methodologies, working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools, and proficiency in working with Relational Databases and SQL Scripting are key aspects of this role. Clear understanding of Architecture and infra requirements and setup is necessary. Experience or proficiency in .NET (C#, VB, C++, Java) & Python development languages would be useful. This position offers an opportunity to contribute to the advancement of digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things, and cleantech at Xerox Holdings Corporation. If you are passionate about innovation and have the required technical skills and experience, we encourage you to apply for this exciting role. Learn more about Xerox at www.xerox.com and explore our commitment to diversity and inclusion.,

About the Role: We are seeking a talented AI Engineer with strong expertise in Large Language Models (LLMs) and AI agent frameworks to help us build next-generation AI-powered systems. You will work on everything from fine-tuning open-source models to building intelligent agent workflows using tools like LangGraph , LangChain , and others. You'll also deploy services at scale using modern DevOps and cloud infrastructure. Key Responsibilities: Fine-tune and adapt open-source LLMs (e.g., LLaMA 4, Mistral, Falcon) using NVIDIA GPUs for domain-specific tasks. Design and build AI agents capable of reasoning, planning, and tool use using frameworks like LangGraph , LangChain , and AutoGen . Implement structured, multi-step workflows for agents including memory management, tool calling, human-in-the-loop logic, and retry/error recovery strategies. Integrate proprietary LLMs (e.g., OpenAI, Claude) and Open Source LLM (e.g. Llama 4) for hybrid solutions using APIs and plugins. Develop scalable backend systems using FastAPI and containerized applications using Docker . Deploy and manage models on AWS , Azure , or other cloud providers, with a focus on scalability and reliability . Monitor and optimize infrastructure to ensure performance under variable traffic loads. Requirements: Strong experience in fine-tuning LLMs , optimized with NVIDIA GPU toolkits (CUDA). Proficient in building LLM-powered AI agents using tools like: LangGraph (for stateful agent workflows) LangChain (chains, memory, and tools) AutoGen or CrewAI (multi-agent collaboration) Solid grasp of agent orchestration concepts such as state machines, task decomposition, tool selection, and intermediate reasoning steps. Hands-on with OpenAI/Anthropic APIs , including function calling, tool use, prompt engineering and context management. Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Weaviate, FAISS, Pinecone) Experience building and exposing REST APIs using FastAPI , with production-grade containerization in Docker . Deep understanding of cloud deployment and infrastructure scaling using services like AWS EC2/S3, Lambda, Azure Functions, AKS, or ECS. Familiar with monitoring tools and CI/CD workflows (e.g., GitHub Actions, Prometheus, Grafana). Nice to Have: Experience with: LangServe , Semantic Kernel , Haystack , or SuperAGI Open-source contribution in agent orchestration frameworks Exposure to event-driven architecture, streaming (Kafka/PubSub), and async task orchestration (Celery, Ray) Preferred Qualifications: Bachelor's or master's in computer science, Machine Learning, or a related field. Previous experience deploying agent-based AI systems in production environments. Strong problem-solving, system design, and cross-functional collaboration skills are important. What We Offer: Work on cutting-edge AI agent technology solving real-world problems. A collaborative and ownership-driven environment with growth opportunities.

As an American technology company that is currently expanding its range of technology offerings for enterprise customers, you will be responsible for designing, coding, testing, debugging, and documenting software according to the company's systems quality standards, policies, and procedures. Your role will involve analyzing business needs and creating software solutions, as well as preparing design documentation and test data for various testing phases. In this position, you will evaluate and recommend software and hardware solutions to meet user needs, resolve customer issues with software solutions, and respond to suggestions for improvements and enhancements. Collaborating with business and development teams to clarify requirements for testability will be a crucial aspect of your responsibilities. You will also draft, revise, and maintain test plans, test cases, and automated test scripts, and execute test procedures according to software requirements specifications. Additionally, you will play a key role in planning, conducting, and leading assignments that may involve moderate to high budgets or multiple projects. Managing user expectations regarding milestones and deadlines, providing training, assigning work, and checking the work of less experienced developers will also be part of your responsibilities. As a technical consultant to leaders in the IT organization and functional user groups, you will be expected to be a subject matter expert in one or more technical programming specialties. Your primary skills in AI/Client, NLP, LLM, Oracle, Cloud, and DevOps (CI CD) will be essential for success in this role. Secondary skills in Python, HTML, CSS, and JS (Angular/React/node) will also be beneficial. If you are interested in this opportunity, we encourage you to respond by submitting your updated resume. For more job opportunities, please visit Jobs In India - VARITE. At VARITE, we value diversity and are committed to being an Equal Opportunity Employer. If this opportunity is not suitable for you, we invite you to share it with your network. VARITE offers a Candidate Referral program where you can earn a one-time referral bonus based on the candidate's experience level if they complete a three-month assignment with VARITE. Join VARITE, a global staffing and IT consulting company that provides technical consulting and team augmentation services to Fortune 500 Companies in the USA, UK, Canada, and India. We are proud to be a primary and direct vendor to leading corporations in various sectors such as Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Unlock Rewards: Refer Candidates and Earn.,

Hi, We are looking for AI Lead Engineer Position Summary We are seeking an experienced and visionary AI Lead Engineer to spearhead the design, development, and scaling of an enterprise-grade, automated FAQ Generation Platform powered by Generative AI. This role will be pivotal in architecting intelligent systems that ingest structured/unstructured content and dynamically generate, validate, and optimize FAQs across domains such as travel, accommodation, policy, and support services. The ideal candidate brings deep expertise in LLM operations (LLMOps), retrievalaugmented generation (RAG), prompt engineering, and multi-modal pipeline orchestration, and can lead cross-functional teams from PoC to production Key Responsibilities • Lead the technical design and architecture of a scalable application using AWS Bedrock, OpenSearch, and DynamoDB. • Drive LLM integration (e.g., Claude, Titan, or third-party models) to enable contextual, accurate, and diverse application development • Develop and optimize semantic search and vector-based retrieval pipelines, supporting real-time and batch generation workflows. • Design and maintain feedback loops for continuous model and content improvement, integrating business and user feedback. • Collaborate closely with UX/UI teams, data engineers, and business SMEs to ensure that the application is aligned with domain needs. • Implement automated data ingestion, preprocessing, and metadata tagging from diverse content sources (PDFs, CMS, knowledge bases). • Define and uphold AI ethics, bias mitigation, and compliance standards in line with enterprise and regulatory frameworks (e.g., EU AI Act). • Provide technical mentorship to AI developers and guide sprint-level deliverables using Agile practices Qualifications • Bachelors or Masters in Computer Science, AI/ML, Data Science, or a related discipline. • 5+ years of experience in AI/ML engineering, with 3-4 years in Generative AI or NLP-led product delivery. • Proven experience with LLMs, Bedrock, LangChain, OpenSearch, and Vector Databases (e.g., Pinecone, FAISS). • Strong hands-on skills with Python, AWS Lambda, DynamoDB, and orchestration tools (Airflow, Step Functions). • Deep understanding of prompt engineering, RAG pipelines, embeddings, and content chunking strategies. • Experience in security and compliance alignment (PII detection, encryption, audit trails) for AI systems. What We Offer • A pioneering opportunity to lead the next-gen AI product shaping intelligent customer experience. • A collaborative environment with cross-functional tech and domain teams. • Access to enterprise AI tooling and LLM platforms (Anthropic, AWS, OpenAI). • Competitive compensation, benefits, and career growth in AI leadership. Good to Have • Exposure to multi-lingual NLP, enterprise search, or knowledge graph integration. • Familiarity with MLOps/LLMOps practices, CI/CD for ML pipelines, and model performance monitoring. • Experience in leading enterprise GenAI use cases such as document QA, virtual assistants, or intelligent search. • GitHub/portfolio (if any) • Brief note on your experience with GenAI-powered systems

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

Required Skills and Qualifications: 8+ years of experience in Data Science and AI project execution and delivery. Proven experience in delivering enterprise-scale AI/ML solutions. Hands-on expertise in at least two of the following: predictive modeling, NLP, Gen AI, LLM-based applications. Experience in Gen AI solutions including LLM fine-tuning, prompt engineering, and RAG implementations. Strong knowledge of Python, ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and Gen AI frameworks (LangChain, LlamaIndex, Hugging Face). Familiarity with cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate). Strong communication and leadership skills, with the ability to guide technical teams and engage with business stakeholders. Good to Have: Experience in Data Engineering tools and pipelines (Spark, SQL, Airflow, Databricks, etc.) Experience in handling structured and unstructured data. Exposure to MLOps tools and practices (MLflow, Kubeflow, Azure ML, etc.) AI/ML-related certifications from AWS, Azure, or GCP.

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.