1042 Llm Jobs - Page 4

Selection strictly as per BCI Norms. LLM should be upto 2 years with min. 55% and Ph.d in Law. Minimum 15 years of experience is required for this post.

Role & responsibilities We are looking for an experienced Data Scientist with expertise in Generative AI to join our team. In this role, you will develop and optimize AI/ML models, fine-tune large language models (LLMs), and build innovative AI-driven solutions. You will work closely with cross-functional teams to apply Gen AI techniques for text, image, and speech generation, driving business impact through intelligent automation, personalization, and data-driven insights. - Design and develop and deploy algorithms for generative models using deep learning techniques for given business problem. - Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. - Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies. - Optimize and fine-tune generative models for performance and efficiency. - Troubleshoot and resolve issues related to generative AI models and implementations - Create and maintain documentation for generative AI models and their applications. - Communicate complex technical concepts and findings to non-technical stakeholders.

Selection strictly as per BCI Norms. LLM should be upto 2 years with min. 55% and Ph.d in Law. Minimum 15 years of experience is required for this post.

We are seeking a Generative AI Engineer with 712 years of experience for a 12-month hybrid engagement (2 days onsite) in Bengaluru, Chennai, Hyderabad, Pune, or Vadodara. The candidate will develop enterprise-grade, cloud-native GenAI applications leveraging Azure OpenAI, Azure Cognitive Services, Azure ML Studio, and Azure Document Intelligence. Proficiency in implementing LLMs, RAG pipelines, OCR, and agent-based frameworks using LangChain, LlamaIndex, and Semantic Kernel is critical. The engineer should have experience in deploying scalable AI solutions across production environments. This role demands a mix of technical depth and applied AI implementation with strong delivery ownership and a problem-solving mindset. Location - Bengaluru, Chennai, Hyderabad, Pune, Vadodara (Hybrid 2 days WFO)

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

Location: Remote Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Experience: 4 Years Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Seeking a Senior AI Engineer with strong expertise in machine learning, deep learning, and model deployment to design and implement scalable AI solutions for complex business problems.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst

Position: AI ML GENAI Architect Experience: 9+ Years Location: Pune/ Kolkata / Indore Work Mode: Hybrid (3 Days WFO / 2 Days WFH) Position Overview: We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Mandatory Skills: GENAI, Generative AI, LLM, LangChain, LlamaIndex, TensorFlow, Prompt Engineering. Required Skills: Technical Expertise. Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills: 1. Strong communication skills with the ability to present technical solutions to business leaders. 2. Proven ability to collaborate cross-functionally with technical and non-technical teams. 3. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs. Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales. Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need. Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal.

Primary Skills (Must Have): Generative AI Expertise: Extensive experience in designing and implementing generative AI solutions, including knowledge of various generative models such as GANs, VAEs, and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. Proficient in prompt engineering, fine tuning, agentic framework, GenAI SDKs Proficient in Python , Langchain, Langgraph, Pytorch or Tensorflow. Proficient in the Mathematics behind the AI/ML algorithms. MLOps is added advantage. Proficiency in basic and advanced RAG techniques, auto evaluations of RAG outputs Azure Proficiency: Profound understanding and hands-on experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure AI Foundary, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). Ability to leverage Azure's capabilities to architect end-to-end AI solutions and optimize performance. Architecture Design: Strong architectural skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. Leadership and Collaboration: Exceptional leadership skills with the ability to lead cross-functional teams and drive architectural decisions. Proven experience in mentoring junior team members, conducting code reviews, and fostering a culture of innovation and collaboration. Problem-solving and Innovation: Strong analytical and problem-solving skills, with a track record of proposing innovative solutions to complex technical challenges. Ability to stay updated on emerging AI technologies, best practices, and industry trends to drive continuous improvement. Role & responsibilities : As a Gen AI Researcher, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Lead the design of architecture for generative AI solutions within the Azure/PCAI ecosystem. Collaborate with project managers, data scientists and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions. Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning. Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. Optimize AI models and systems for performance, scalability, and efficiency. Conduct regular code reviews and provide technical guidance to junior members of the team. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.

ROLE: AI/ML - GenAI Work Mode: Hybrid Location: Chennai Requirements: Strong foundation in data science concepts and methods. Proficiency in Python for data analysis and developing AI systems. Experience with SQL for querying and managing relational databases. Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance). Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering). Key Skills and Qualifications: Exposure to Generative AI and machine learning concepts and their real-world applications. Familiarity with LangChain Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG. Basic knowledge of cloud technologies and their role in AI solution deployment. Exposure to GitHub and development practices for cloud-based applications. Preferred skills: Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI Required Candidate profile Looking for candidates working in Data Analytics companies preferably.

Key Responsibilities: Lead a cross-functional engineering team building AI-powered call center solutions. Oversee the deployment and tuning of STT, TTS, and LLM models. Translate expert agent feedback into model tuning strategies. Manage prompt engineering, RAG/CAG integration, and action workflows. Customize models rapidly for new enterprise clients. Ensure the team can: Understand speech-to-text and text-to-speech models Analyze feedback from expert call agents Develop and refine prompts for LLM tuning Create reliable, scalable workhorse models Optimize model operations to reduce cost Integrate LLMs with Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems Build custom action workflows linked with enterprise data systems Enable rapid customization for customer-specific use cases and data environments Requirements: Strong background in NLP and LLMs (GPT, Mistral, Claude, etc.). Experience in leading AI/ML teams or mentoring. Exposure to distributed teams across time zones. Familiar with cloud platforms (AWS/GCP), vector DBs, LangChain, etc. Deep understanding of NLP, speech technologies, and generative AI stacks Strong systems architecture and cloud deployment skills Experience leading technical teams, ideally in a fast-paced environment

This role is for one of Weekday's clients Min Experience: 0 years Location: Gurgaon, Gurugram JobType: full-time At Shipsy, we're building proactive AI systems that anticipate and automate customer needs, reimagining customer experience beyond reactive support. This role focuses on applied AI engineering to solve real customer challenges. You'll start with hands-on support to gain deep insights, then build intelligent automation. Your Journey: From Understanding to Automation Phase 1: Master the Domain (Months 1-6) Resolve customer support tickets, manage escalations, and troubleshoot complex issues for enterprise clients. Develop empathy for pain points through direct interactions. Analyze codebase, patterns, and business impact while solving problems. Identify repetitive tasks and build initial automation tools. Phase 2: Architect the Future (Months 6+) Design AI agents using LLMs, agentic frameworks, and vector databases for automated resolutions. Create workflows for diagnosis, API interactions, and autonomous fixes. Deploy ML models for predictive detection, root cause analysis, and proactive outreach. Implement RAG, function calling, and multi-agent systems. Key Responsibilities Customer Success & Support (Phase 1 Focus): Resolve tickets via portal with timely, high-quality solutions. Handle escalations and troubleshooting for critical operations. Manage incident communications and technical explanations. Participate in on-call rotations across time zones. Own metrics: SLA adherence, first-call resolution, and satisfaction scores. AI & Automation Engineering (Growing Focus): Deploy AI systems using modern frameworks. Build automation for multi-step scenarios. Develop predictive models for issue prevention. Create autonomous AI agents. Reduce manual support through automation. Technical Innovation: Integrate AI tools to boost efficiency. Experiment and contribute to AI-first culture. Collaborate to embed customer learnings into the platform. What We're Looking For Mindset & Skills: Entrepreneurial spirit: Turn problems into transformative solutions. AI-first thinking: Excited to apply AI to business challenges. Customer obsession: Driven to create exceptional experiences. Systems thinking: Connect technical solutions to outcomes. Strong engineering fundamentals in Python, JavaScript, or similar. Knowledge of AI/ML, LLMs, frameworks, APIs, databases, and integrations. Familiarity with data analysis tools. Bonus Points: Experience with AI agents, automation, or CX platforms. Background in data science, ML, or AI research. Time in fast-growing SaaS companies. Interest in logistics or enterprise software.

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience

Experience : 5+ years Work Mode: Remote Interview Mode : Virtual Roles and Requirements Data engineering/pipeline development Design AI architects in cloud environments (AWS, Azure, GCP) Deploying LLMs for specific applications Knowledge of AI Ethics, bias mitigation, responsible AI practices Communication skills for stakeholders and requirement gathering

What you need to succeed Minimum of 5-7 years of experience in web development with Java technologies. Gen AI Basics, along with understanding of how LLMs work. Strong understanding of algorithms and of object-oriented design patterns and database schemas. Proficiency in setup, configuration and deployment of web applications. Strong Data Structure fundamentals Ability to translate business requirements into implementation designs Good team player with extraordinary problem solving and trouble-shooting capabilities. Good communication and analytical skills.

Responsibilities: Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science,Computer Vision, and Machine Learning. Collaborate with product teams to turn research advances into impactful products. Design challenging evaluations related to creative intelligenceandmarketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Train models and run experiments to study data and model quality. Iteratively refine research experiments and clearly communicate insights to the team. Integrate coremachine learningmodelsinto the Adobe Experience Managerand Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements: Provenexpertisein one or more of the following areas: Large Language Models,Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Multiple publications in top-tier conferences such as ICLR,NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD,ICCV, ECCV, CVPR, etc. Hands-on experience anda track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. BTech (for research associates) orPhD degree or equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. For senior positions, a minimum of seven years of post-PhD experience is required. You Will ThriveIn This Role If You: Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the team Have a proventrack record and an impulse for empirical research, answering complex questions with data. Are capable of leading ambitious projects and possess clear communication skills. Have familiarity with crafting quality research experiments and evaluations with rapid iterations. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases and SQL. Bonus: Experience with large-scale data systems such as Beam or Spark.

We seek innovative and passionate server-side developers with a keen interest and practical experience in designing and implementing low-latency, high-performance, user-centric SaaS applications. Responsibilities: 1. Own product solutions through their end to end development lifecycle ensuring high quality. 2. Engage with customers and product management teams (co-located in Bangalore) to understand the need and design an innovative solution. 3. Elaborating the feature scope through competition analysis, research on recent technologies and trends to deliver the best-in-class and often next-in-class solutions and iteratively work with customers to finesse the solution. 4. Craft detailed use cases, design, code, test, and deploy stable, scalable, cost-effective, and simple solutions. 5. Handle non-functional requirements like performance, memory leaks, security at the solution level. 6. Keep up with industry trends and support the evolution of standard processes. Mentor junior developers to improve team potential. 7. Demonstrate thought leadership through domain and technology presentations, while integrating the latest tech trends into the product. Requirements: 1. Bachelor's / postgraduate degree in computer science/software engineering. 9+ years experience in developing customer-focused, large-scale SaaS services. 2. Proficiency in java programming language & web app frameworks (Spring, Tomcat). 3. Thorough understanding of various databases (MySQL, PG, Mongo, Dynamo etc), pros & cons and performance considerations. 4. Knowledge on cloud infrastructure and hands on experience on at least one them - AWS, Azure, Google cloud etc 5. Excellent problem solving, verbal and written communication skills. 6. Passionate about solving exciting problems for customers ready to explore new grounds in technology and user experience. 7. Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously. Proven ability to influence technical and non-technical stakeholders. Good to have skills: 1. Exposure to GenAI, LLMs 2. Exposure to Data warehousing

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Key Responsibilities Platform Development and Evangelism: Build scalable AI platforms that are customer-facing. Evangelize the platform with customers and internal stakeholders. Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Implement A/B testing of models. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture: Serve as an SME in LLM serving paradigms. Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning and Optimization: Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models and Use Cases: Have extensive knowledge of different LLM models. Provide insights on the applicability of each model based on use cases. Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Skill Matrix LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery. Cloud Knowledge: AWS/Azure/GCP Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert Proficient in Python, SQL, Javascript

Position Summary A data scientist cum data engineer with 5+ years of experience with a deep understanding of data analysis, Big Data & Cloud technologies, AI & machine learning, GenAI and NLP techniques. You will be responsible for developing & building low level design as per approved Tech specs, extracting valuable insights from large datasets, building advanced AIML models and driving data-driven decision-making within the organization or for the enterprise customers. This role involves a combination of data analysis, model development, and strategic thinking to solve complex business problems. You will interact with key stakeholders and apply your technical proficiency in AIML, Python, R and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and interface directly with enterprise customers for the Adobe Experience Platform. What you'll do Interface with Adobe customers to gather requirements, map solutions & make recommendations. Document projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of results Experience in Natural Language Processing, GenAI and Image processing Support the execution of Data Science solutions to business problems Innovate on new ideas to solve customer needs & assist to create GTM strategies for new solutions Experience in AIML modeling like propensity models, clusterings, regression, etc. Developing ETL pipelines involving big data. Developing data processinganalytics applications primarily using PySpark. Experience of developing applications on cloud(AWS/Azure/GCP) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming. Clear understanding and ability to implement distributed storage, processing and scalable applications. Experience in working with SQL and NoSQL database. Ability to write and analyze SQL, HQL and other query languages for NoSQL databases. Proficiency in writing disitributed & scalable data processing code using PySpark, Python and related libraries. Experience in developing applications that consume the services exposed as ReST APIs. Understand and clean datasets, interpret outputs and make them comprehensible to understand for other teams. Strong collaboration with consultants onshore & offshore Create reusable statistical models & modify existing algorithms Report on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions. Requirements 2+ years of experience & knowledge with Web Analytics or Digital Marketing. 5+ years of experience in AIML role , with a focus on building data pipelines for conducting data intensive analysis 5+ years of experience with Machine Learning and alogrithims for classification, clustering, prediction, recommendations and NLP 5+ years of experience with common Data Science Toolkits (i.e. R, Jupyter Notebooks, PySpark etc.) 5+ years of enterprise development using Python Strong understanding of GenAI and LLM Ability to enhance Standard Algorithms is required Knowledge & experience using Amazon Sagemaker , Microsoft Azure ML or Google AI technologies 5+ years of complex SQL experience 5+ years of Data Modeling experience Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects Strong verbal & written communication skills to lead customers to a successful outcome and explain complex technical concepts to non-technical stakeholders. Excellent problem-solving and critical-thinking skills. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud) Must be self-managed, proactive and customer focused Degree in Computer Science, Information Systems or related field Should be able to work in teams Special Consideration given for Experience & knowledge with Adobe Experience Cloud solutions Experience & knowledge with Web Analytics or Digital Marketing

The Role: We are looking for Machine Learning Engineer to join our Models and Applications team. If the challenge of distributed training of large model on large number of GPUs excites you and you are passionate about improving training efficiency and enjoy innovating and coming up with new ideas, then this role is for you. You will be part of world class team focus on addressing the challenge of training generative AI. The Person: The ideal candidate should have experience with distributed training pipeline, knowledgeable with distributed training algorithms (Data parallel, Tensor parallel, Pipeline parallel, ZeRO) and familiar with training Large Model. Key Responsibilities: Train large model to convergence on AMD GPUs. Improve the end-to-end training pipeline performance. Optimize the distributed training pipeline and algorithm to scale out. Contribute your changes to open source. Up to date with latest training algorithms. Influence the direction of AMD AI platform. Cross team collaborate with various group and stakeholder. Preferred Experience: 10+ years of experience. Experience in ML frameworks such as PyTorch, JAX or Tensorflow. Experience with distributed training and distributed training framework such as DeepSpeed. Experience with LLM or Vision, especially large model is a plus. Excellent python programing skills, including debugging, profiling, and perf analysis. Experience with ML pipeline. Strong communication and problem-solving skills. Academic Credentials: A master's degree in computer science, artificial intelligence, machine learning, or a related field.