819 Llms Jobs - Page 11

Hiring a Senior GenAI Engineer with 7-12 years of experience in Python, Machine Learning, and Large Language Models (LLMs) for a 6-month engagement based in Gurugram This hands-on role involves building intelligent systems using Langchain and RAG, developing agent workflows, and defining technical roadmaps The ideal candidate will be proficient in LLM architecture, prompt engineering, vector databases, and cloud platforms (AWS, Azure, GCP) The position demands strong collaboration skills, a system design mindset, and a focus on production-grade AI/ML solutions

If you've ever wanted to architect systems that understand people as well as they understand code, this is your playground. Role & responsibilities This role is for those who think in flows, not just functions. Youll collaborate with product strategists, cognitive scientists, and emotionally intelligent engineers to build systems that feel intuitive, inclusive, and alive. Whether its orchestrating ambient data pipelines or designing clarity-first APIs, your work will make the invisible visibleand the complex feel simple. **Position Requirement** Core Systems & Architecture Deep experience with distributed systems, microservices, and event-driven architectures Proficiency in cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Pulumi) Strong grounding in API design, service orchestration, and system observability Adaptive Intelligence & AI Integration Familiarity with LLMs, agentic workflows, and orchestration frameworks (LangChain, CrewAI, LangGraph) Experience with telemetry, behavioral data, and context-aware automation Understanding of retrieval-augmented generation (RAG), prompt engineering, and grounding strategies Engineering & DevOps Fluency in Python, Go, or TypeScript; experience with containerization (Docker, Kubernetes) CI/CD pipelines, version control (Git), and secure deployment practices Comfort with backend systems, data streaming (Kafka, Pulsar), and real-time processing Strategic & Collaborative Skills Ability to translate abstract product goals into scalable technical architectures Experience mentoring cross-functional teams and guiding architectural decisions Systems empathy: designing for clarity, inclusivity, and emotional resonance **General Requirements** We use human and AI tools to shortlist, please read carefully and follow. - [ ] **Updated LinkedIn Profile** Reflect your strategic depth, systems thinking, and any clarity-driven leadership experience. - [ ] **Preferred Job Location & Work Style (if any, optional)** Remote, hybrid, or in-personplus how you collaborate best (async, sync, signal-based, etc.). - [ ] **Verifiable Psychometric Assessment** Preferably from ezsixty.com | use referral code: `OSTENSIBLE`, (OR) any reputable platform (e.g., Traitify, Hogan, 16Personalities Pro) that reflects your cognitive and emotional profile. - [ ] **Brief Statement of Intent (if any, optional)** Share how you interpret human nuance into systems—or how you’ve led teams to do so. We value clarity over polish. - [ ] **Portfolio or Strategic Work Sample** Could be a systems map, product strategy doc, interface logic, or even a teardown of something you’d redesign. Show us how you think.

* Design develop deploy full stack AI solns using RAG pipelines, LLMS, Python, ML frameworks, TensorFlow, PyTorch, Hugging Face, APIs, LangChain, or LlamaIndex.Experience with OpenAI APIs, LangChain, or PhD in AI/ML /researcher in AI/ML MNC/IIT

DESCRIPTION Amazon's Accounts Receivable Technology team, part of FinAuto (Finance Automation), is transforming financial operations through next-generation automation powered by agentic AI. We process trillions in annual transactions across every Amazon business worldwide, including AWS, Stores, and Digital. Our team is building intelligent systems that optimize the entire order-to-cash lifecycle, from sales through billing and collections. We're seeking a hands-on technical leader to drive our automation vision forward. As Amazon's financial operations grow exponentially with business expansion, traditional approaches to scaling through human operations are no longer sufficient. Our team is at the forefront of solving this challenge through innovative automation solutions that combine artificial intelligence, machine learning, and enterprise-grade workflows to transform how financial operations work. Key job responsibilities Technical Leadership & Innovation - As Software Development Manager, you will: . Shape architectural decisions for our next-generation automation platform . Drive adoption of emerging technologies including agentic AI and LLMs . Design scalable, secure systems that handle sensitive financial data . Build frameworks that enable autonomous operations while maintaining enterprise-grade controls . Partner with AWS teams on emerging AI capabilities and primitives . Guide development of ML/AI-powered solutions for pattern detection and process optimization Team Leadership - You'll lead a talented engineering team building strategic automation solutions that: . Process financial transactions at massive scale . Leverage ML/AI to detect patterns and optimize operations . Automate complex workflows across multiple transactional systems . Transform manual processes into autonomous operations . Drive continuous improvement through data-driven insights Technical Complexity - Key challenges include: . Building observable, auditable automation systems . Creating flexible integration patterns across modern and legacy systems . Implementing robust testing and governance frameworks . Scaling solutions across global operations . Ensuring compliance with financial regulations while driving innovation Impact - This role offers the opportunity to: . Shape the future of financial operations at Amazon's scale . Drive technical innovation in emerging technologies . Lead transformation of critical business processes . Influence automation strategy across the organization BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job Requisition ID # 25WD90121 Position Overview Are you a problem solver who thrives on building real-world AI applications Do you geek out over LLMs, RAG, MCP and agentic architectures Want to help shape a brand-new team and build cool stuff that actually ships If so, read on. We're building a new Applied AI team within Autodesk's Data and Process Management (DPM) group. As a Founding Principal Engineer, you'll be at the heart of this initiative - working in a highly dynamic environment, designing, building, and scaling AI-powered experiences across our diverse portfolio providing critical Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to our customers. You'll work on real production systems, solve hard problems, and help define the future of AI at Autodesk. Responsibilities: . Build AI-powered Experiences: Architect and develop production-grade AI applications that are scalable, resilient & secure . Shape AI Strategy: Help define the AI roadmap for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction . Operationalize LLMs: Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints . Build for Builders: Design frameworks and tools that make it easier for other teams to develop AI-powered experiences . Guide Engineering Practices: Collaborate with other engineering teams to define and evolve best practices for AI experimentation, evaluation, and optimization. Provide technical guidance and influence decisions across teams . Drive Innovation: Stay on top of the latest in AI technologies (e.g. LLMs, VLMs, Foundation Models), Architecture Patterns such as fine-tuning, RAG, function calling, MCP and more-and bring these innovations to production effectively . Optimize for Scale: Ensure AI applications are resilient, performant, and can scale well in production . Collaborate Across Functions: Partner with product managers, architects, engineers, and data scientists to bring AI features to life in Autodesk products Minimum Qualifications: . Masters in computer science, AI, Machine Learning, Data Science, or a related field . 10+ years building scalable cloud-native applications, with 3+ years focused on production AI/ML systems . Deep understanding of LLMs, VLMs, and foundation models, including their architecture, limitations, and practical applications . Experience fine-tuning LLMs using real-world datasets and integrating them into production systems . Experience with LLM related technologies including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, MCP, in production settings . Deep understanding of data modeling, system architectures, and processing techniques . Experience with AWS cloud services and SageMaker Studio (or similar) for scalable data processing and model development . Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud. . Proficiency in Python or TypeScript . You love tackling complex challenges and delivering elegant, scalable solutions . You can explain technical concepts clearly to both technical and non- technical audiences Preferred Qualifications: . Experience building AI applications in the CAD or manufacturing domain. . Experience designing evaluation pipelines for LLM-based systems (e.g., prompt testing, hallucination detection, safety filters) . Familiarity with tools and frameworks for LLM fine-tuning and orchestration (e.g., LoRA, QLoRA, AoT P-Tuning etc.) . A passion for mentoring and growing engineering talent . Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents . Contributions to open-source AI projects or publications in the field . Bonus points if you've ever explained RAG to a non-technical friend-and they got it #LI-Hybrid #LI-SB4 Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site).

Agentic AI Developer Job Profile: Must have experience in: Python and FastAPI for backend development and API integration. Generative AI and Large Language Models (LLMs) especially OpenAI models. Retrieval-Augmented Generation (RAG) and Prompt Engineering techniques. Building multi-agent systems using the AutoGen framework. Agentic AI design patterns such as: Reflection Planning Tool use Multi-agent collaboration Azure AI Services, Vector Databases, and both SQL and NoSQL databases.

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

As an Engineer at Knowl, you will play a crucial role in building and maintaining systems that can handle millions of real-time interactions daily with near-zero latency and unmatched reliability. You will have the opportunity to innovate with LLMs, pushing the boundaries of what LLMs can achieve in real-world applications. Taking full ownership of designing, implementing, and optimizing the systems that power our platform will be a core part of your responsibilities. Your work will directly impact how businesses connect with customers, driving measurable results at scale. We are looking for individuals who thrive on solving hard problems and have a passion for building systems that define the future. You should be skilled at turning complex ideas into scalable, reliable systems and have a knack for writing clean, efficient, and impactful code. If you are excited about designing systems that can handle massive concurrency and scale effortlessly, then you are the perfect fit for this role. If you are a bold innovator, a practical builder, a relentless coder, and have a passion for scale, then we would love to have you on board at Knowl. Join us in shaping the future of how businesses connect with their customers. This job opportunity was posted by Ashvin Sharma from Knowl.,

As an AI Solution Architect at Cognizant, you will join a rapidly growing consulting and IT services company with a global presence and a commitment to innovation. The Cognizant AI Labs focus on pioneering scientific innovation and developing groundbreaking AI solutions responsibly. As part of the Advanced AI Lab / Neuro AI team, you will specialize in delivering tailored AI-driven solutions to enable organizations to solve complex challenges and unlock new growth opportunities. Your role will involve designing and implementing intelligent, autonomous systems using Generative AI and Agentic AI technologies to revolutionize business processes across various industries. You will leverage machine learning models, LLMs, and multi-agent systems to automate, optimize, and streamline business operations for clients. Key responsibilities include architecting end-to-end AI solutions, collaborating with sales teams, identifying opportunities for applying AI to improve business processes, and ensuring seamless deployment of AI solutions at scale. You will also be responsible for staying at the cutting edge of emerging AI technologies, providing mentorship to junior architects, and supporting clients through the full lifecycle of AI adoption. To qualify for this role, you should have a Master's degree or Ph.D. in Computer Science, Engineering, Data Science, or a related field, along with 5+ years of experience in AI architecture and machine learning technologies. You should also have expertise in AI models and frameworks, experience with cloud platforms, strong programming skills in Python and relevant AI development tools, and a deep understanding of business process automation and workflow optimization. Preferred skills include experience in deploying agentic AI technologies, familiarity with ethical considerations in AI systems, knowledge of enterprise architecture frameworks, and experience working in industries such as healthcare, finance, retail, manufacturing, or logistics. By joining Cognizant as an AI Solution Architect, you will work on transformative AI projects, integrate Generative and Agentic AI technologies, and have opportunities for career growth and advancement in a dynamic and innovative team environment with flexible work options.,

Surface Al aims to transform website building by providing a user-friendly platform for non-tech founders. The Al-Powered Website Builder allows users to generate unique and high-quality websites through simple prompts. Unlike traditional templates, each website created is tailored and dynamic. The platform also offers business management tools such as inventory tracking and operations integration. We are seeking a Founding Engineer who is passionate about artificial intelligence, automation, and web development. In this role, you will be a key member of our engineering team, collaborating closely with the founder to realize the vision of Surface Al. As a Founding Engineer, your responsibilities will include architecting and developing the Al-driven website generation engine, creating user-friendly tools for non-technical users, working on Al/ML models to enhance website design and business management, ensuring the scalability, speed, and reliability of the platform, and contributing to product direction to shape the future of Surface Al. The ideal candidate should have experience with Al-driven UI/UX generation or a strong interest in learning, proficiency in React, TypeScript, Node.js, and Python with Al/ML integration, knowledge of LLMs (Large Language Models) or Al-assisted content generation, as well as familiarity with No-Code/Low-Code tools or web automation. If you are excited about leveraging artificial intelligence to simplify website creation and business management, and possess the required skills and experience, we invite you to join our team at Surface Al.,

You will be joining Meithee Tech, a software development company specializing in creating sophisticated web and mobile applications that cater to a wide range of businesses and individuals. Our focus is on delivering cost-effective solutions that transform unique ideas into robust and scalable software products. At Meithee Tech, we prioritize understanding our clients" business requirements and bringing their visions to life through our skilled teams of designers and developers. As a Senior Tech Lead in Coimbatore, you will be immersed in AI and machine learning projects, taking charge of developing and implementing algorithms, and offering technical guidance to the team. Your role will encompass tasks such as data analysis, model training, and performance optimization, requiring a deep understanding of AI and ML concepts. To excel in this position, you should possess a minimum of 7+ years of programming experience, with a strong grasp of core programming concepts and system architecture. Additionally, you should have at least 5+ years of experience in Full Stack Web Development and a solid conceptual knowledge of AI/ML. Proficiency in Deep Learning, Transformer Architecture, and LLMs is crucial, along with hands-on experience in implementing ML algorithms. Apart from technical expertise, we are looking for someone with exceptional analytical skills, the ability to lead and train a team effectively, and a keen eye for problem-solving. Your role will also involve leading technical projects, mentoring team members, and ensuring the successful execution of AI and ML initiatives. The interview process will consist of multiple stages, starting with an Initial Screening Online Form Filling, followed by a Technical Written test conducted onsite. Subsequently, you will engage in a Face to Face Technical Interview onsite, culminating in an HR Discussion to finalize the hiring process.,

Do you have a passion for pushing the boundaries of innovation and are excited about AI's potential to improve the human experience Cerence ai, the global leader in AI for transportation, is looking for a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer to join their dynamic team. Cerence ai specializes in building AI and voice-powered companions for cars, two-wheelers, and more, enabling people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, the company partners with leading automakers, mobility providers, and technology companies to create intuitive, integrated experiences for drivers and passengers. As a part of the team at Cerence ai, you will play a crucial role in advancing the next generation of transportation user experiences. The company's culture is customer-centric, collaborative, fast-paced, and fun, offering continuous opportunities for learning and development to support your career growth. The ideal candidate for this role will have a robust background in developing and implementing ASR models specifically for automotive voice assistants. You will need to be well-versed in the latest advancements in speech recognition technology, including generative AI, large language models (LLMs), and next-generation ASR frameworks. Your responsibilities will include leveraging your expertise to train, fine-tune, and optimize Large Language Models (LLMs) for optimal accuracy, naturalness, efficiency, and scalability. You will collaborate with cross-functional teams to integrate LLM-based features, design and implement software components, conduct testing and validation of LLM-based features, and stay updated with the latest advancements in AI and natural language processing (NLP) technologies. To be successful in this role, you should have demonstrated expertise in creating NLP solutions using Deep Learning techniques, an advanced degree in computer science or related field, proficiency in Python and Deep Learning frameworks like Tensorflow or PyTorch, experience with training and fine-tuning large language models, and excellent problem-solving skills with a collaborative mindset. Cerence offers a range of benefits including annual bonus opportunities, insurance coverage, paid time off, paid holidays, equity-based awards, and remote or hybrid work options depending on the position. If you are looking to have a significant impact in a dynamic industry with a high-performing global team, consider joining Cerence ai and be a part of meaningful innovation in the rapidly growing automotive voice assistant space.,

The Data Science team at Delhivery plays a crucial role in leveraging technology and algorithms to facilitate the smooth operations of the company, which delivers nearly two million parcels daily. As a Data Scientist in this team, you will be tasked with identifying and resolving high-impact business challenges by utilizing the vast amounts of data collected. Your responsibilities will encompass crucial decisions related to network optimization, package routing, geocoding, and pricing. Each team member is expected to take complete ownership of a specific problem statement, demonstrating the ability to analyze the problem comprehensively and engage with business stakeholders, while also designing and implementing technically sound solutions. The team operates with ambition, constantly seeking innovative approaches, and maintains a fast-paced work environment. As a member, you will be required to embrace ambiguous and challenging problem statements, taking full accountability for end-to-end solutions and independent decision-making. In the role of a Data Scientist at Delhivery, we seek individuals with expertise in a specialized area of modeling such as Deep Learning (transformers, NLP, LLMs) or Simulations, alongside a foundational understanding of a diverse range of data science models. Hands-on experience with data handling and deriving actionable insights from it is essential for success in this role. Your primary responsibilities will involve: - Identifying and comprehending business problems suitable for data-driven solutions - Formulating and articulating business problems in a data-friendly manner - Collecting and analyzing relevant data to develop models - Rigorously testing and analyzing models/heuristics with a business-centric approach - Effectively communicating model results and analyses to business stakeholders - Collaborating with operational and cross-functional teams to translate data insights into tangible business outcomes - Partnering with product and technology teams to integrate insights and model outputs into core technology products To excel in this position, you must possess: - Strong mathematical and logical acumen - Excellent written, verbal, and visual communication skills - Proficiency in programming, particularly in Python or a similar language - In-depth knowledge of operations research, statistics, machine learning, natural language processing, or simulations, and the ability to apply them to real-world industry challenges - A genuine enthusiasm for data and analytics - Practical sensibilities and an understanding of common logical fallacies - Demonstrated capability in delivering end-to-end solutions to complex industry problems - 2 to 8 years of relevant industry experience - A Bachelor's or Master's degree in a STEM field from a reputable institution, either in India or abroad If you are passionate about leveraging data to drive impactful business decisions and thrive in a dynamic and challenging environment, we welcome you to join our team at Delhivery.,

Postman is the world's leading API platform, used by more than 35 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration, enabling users to create better APIs, faster. The company is headquartered in San Francisco and has an office in Bangalore, where it was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Postman is the world's leading collaboration platform for API development. Postman's features simplify each step of building an API & streamline collaboration to help create better APIs faster. More than 30 million developers & 500,000 organizations worldwide use Postman today, and we continue to strive humbly towards our mission of 100 million connected developers & serving companies as they seek to innovate in an API-first world. Our customers are doing more and more astounding things with the Postman product every day, and as a result, we are growing rapidly. Are you excited about AI's potential Do you want to work toward the goal of using AI to help millions of developers be more effective at their jobs At Postman, one of our goals is to create net new developers in the world, and we believe products like Postbot, an AI Assistant for our users, will play a vital role in this journey. To help us with this, we're seeking exceptional engineers to join us. As an AI Software Engineer, you will work with a talented team of engineers, researchers, design and Product teams, to design and implement key components on developing and implementing AI-powered products and workflows into Postman's product. Utilize your expertise to develop new agent architectures, design and manage data pipelines, run evaluations, and propose solutions to enhance output quality. Embrace uncertainty with confidence by prioritizing meaningful machine-learning experiments that enhance our products. Take the initiative to lead projects collaboratively, ensuring they flourish from inception to completion. Design, monitor, and analyze experimental results efficiently. Document findings thoroughly, conduct ablation studies, and effectively transform data into actionable insights. Collaborate with cross-functional teams to deliver product features on time across Postman's product stack. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. You might be a good fit if you have 6+ years of experience in AI/ML research and development, a Masters or Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. Have expertise in improving our models and building evaluations for model capability improvement. Hands-on experience with LLMs, Transformer models, and generative AI techniques. Working experience in retrieval systems, inference engines. The ability to design and run ML research experiments, engineer prototypes, and build infrastructure and tooling for processing data. Strong programming skills in Python and knowledge of ML libraries like Scikit-learn, LLM Model API, or LLM frameworks. A "validate first and perfect later" mentality and curiosity about how things work inside the hood. Self-driven, self-motivated, able to work independently and in a team. Published work at top conferences such as ICLR, ICML, NeurIPS, ACL, and EMNLP would be a nice to have, as well as open-source projects. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Noida, Hyderabad, and New York, employees are expected to come into the office 3-days a week. Our Values include creating with curiosity, transparency, focusing on specific goals, an inclusive work culture, and delivering the best products we can.,

You will be joining Orient Technologies Limited, a leading IT solution provider in India with over 20 years of experience. In this full-time on-site role based in Mumbai, you will be responsible for developing and implementing scalable machine learning models and AI solutions using Python. Your daily tasks will involve designing, coding, testing, and deploying various AI and LLM applications. You will collaborate with cross-functional teams to gather requirements and deliver solutions, as well as maintain and optimize existing models. Troubleshooting issues, providing support, and ensuring the performance and reliability of AI-based applications will also be part of your responsibilities. To be successful in this role, you should have at least 3 years of relevant experience in Python, with a minimum of 3.5 years in Python programming. Additionally, you should have at least 1 year of experience in machine learning and natural language processing (NLP), as well as 1.5 years with LLMs and GenAI. A minimum of 2 years of experience with any database and 1 year of experience deploying ML models/Python applications on Azure or AWS is also required. If you are ready to take on this exciting opportunity, apply now and be part of a dynamic team at Orient Technologies Limited.,

As an Individual Contributor at P50 level at Adobe Express, you will have the opportunity to develop cutting-edge ML models, platforms, and services, covering the entire ML lifecycle. Joining the AI Foundation Team, you will work towards developing a groundbreaking AI stack using internal and external technologies to enhance feature speed and quality, ultimately improving user experience at Adobe Express. Your responsibilities will include researching, designing, and implementing advanced ML models and pipelines for training and inference at scale. This will involve utilizing techniques in computer vision, NLP, deep learning, and generative AI. Additionally, you will integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling context-aware content generation and dynamic user experiences. Collaborating with cross-functional teams, you will translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Your role will also involve developing robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring high model quality and relevance. Leveraging distributed computing technologies and cloud infrastructures will be essential for handling large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Furthermore, you will implement reliable APIs and microservices that serve ML models to end users, ensuring alignment with standard methodologies in security, compliance, scalability, and maintainability. It will be crucial to stay updated on emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, the team plans to expand model coverage to include more creative tasks, improve model architectures for better latency and accuracy, and integrate federated learning or domain adaptation strategies to reach diverse audiences. To be successful in this role, you should hold a PhD, Masters, or Bachelors in Computer Science or a related technical field, with 14+ years of industry experience. Proficiency in Python and Java for ML model development, hands-on experience with TensorFlow and PyTorch, as well as expertise in computer vision and NLP techniques are required. Experience in developing and deploying RESTful web services and microservices architectures, along with proficiency in UNIX environments, Git, and Jenkins, will be beneficial. At Adobe, we celebrate creativity, curiosity, and continuous learning as essential components of your career growth journey. We are excited that you are considering a new opportunity with us, and we look forward to your potential contributions to our innovative team. Join us at Adobe and immerse yourself in an exceptional work environment where feedback flows freely and colleagues are dedicated to helping each other grow. If you are seeking to make a meaningful impact, Adobe is the place for you!,

As an AI Software Engineer at our company based in Ahmedabad, you will play a crucial role in driving innovation and improving our software products by implementing intelligent automation and cutting-edge AI solutions. Your primary responsibilities will include designing AI algorithms and utilizing extensive datasets to deliver sophisticated and scalable features. Your responsibilities will involve developing and deploying AI algorithms for seamless product integration in real-time scenarios. You will also be tasked with constructing and managing data models and pipelines for processing large volumes of data efficiently. Additionally, implementing autoclassification systems for handling unstructured data and working on AI-driven code automation and smart programming tools will be part of your daily tasks. It will be essential to ensure the optimal performance of AI software by utilizing scalable infrastructure and maintaining clean code practices. You will need to leverage predictive analytics to gain insights into user behavior, prioritize features, and minimize customer churn. Analyzing logs, feedback, and usage data using AI will be crucial for extracting actionable insights. Furthermore, managing internal process optimization by utilizing AI and providing training to team members across various departments will also be a key aspect of your role. The key requirements for this position include a Bachelor's or Master's degree in Computer Science, AI, or a related field. You should possess a minimum of 5 years of overall experience in software development, with at least 2-3 years of specific experience in applying AI within software development environments. Proficiency in Python and ML frameworks such as TensorFlow and PyTorch is essential. Experience in data handling, machine learning, and deploying models into production environments is also required. A strong understanding of AI-driven automation and model optimization is crucial, and familiarity with tools like AutoML, LLMs, or AI code generation tools would be considered a plus.,

As a part of Cowbell's innovative team in the field of cyber insurance, you will play a crucial role in designing and implementing RAG-based systems, integrating LLMs with vector databases, search pipelines, and knowledge retrieval frameworks. Your responsibilities will include developing intelligent AI agents that automate tasks, retrieve relevant information, and enhance user interactions. You will work with APIs, embeddings, and multi-modal retrieval techniques to improve the performance of AI applications. Additionally, you will be tasked with optimizing inference pipelines and enhancing LLM serving, fine-tuning, and distillation for efficiency. Staying abreast of the latest advancements in generative AI and retrieval techniques will be essential, along with collaborating with stakeholders and cross-functional teams to address business needs and develop impactful ML models and AI-driven automation solutions. The ideal candidate for this position should hold a Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field (or a Bachelor's degree with significant experience). You should have at least 5 years of experience in machine learning, deep learning, and NLP for real-world applications, as well as a minimum of 1 year of hands-on experience with LLMs and generative AI. Expertise in RAG architectures, vector search, and retrieval methods is required, along with proficiency in Python and experience with LLM APIs such as OpenAI, Hugging Face, Anthropic, etc. Experience in integrating LLMs into real-world applications, solid foundation in machine learning, statistical modeling, and AI-driven software development, as well as knowledge of prompt engineering, few-shot learning, and prompt chaining techniques are also preferred qualifications. Strong software engineering skills, including experience with cloud platforms like AWS, and excellent problem-solving abilities, communication skills, and the capacity to work independently are crucial for this role. Preferred qualifications for the position include proficiency in PyTorch or TensorFlow for deep learning model development, experience in LLM fine-tuning, model compression, and optimization, familiarity with frameworks like LangChain, LlamaIndex, or Ollama, experience with multi-modal retrieval systems (text, image, structured data), and contributions to open-source AI projects or published research in AI/ML. At Cowbell, employees are offered an equity plan, wealth enablement plan for select customer-facing roles, comprehensive wellness program, meditation app subscriptions, lunch and learn sessions, a book club, happy hours, and more for professional development and growth opportunities. The company is committed to fostering a collaborative and dynamic work environment where transparency and resilience are valued, and every employee is encouraged to contribute and thrive. Cowbell is an equal opportunity employer, promoting diversity and inclusivity in the workplace and providing competitive compensation, comprehensive benefits, and continuous opportunities for professional development. To learn more about Cowbell and its mission in the cyber insurance industry, please visit https://cowbell.insure/.,

You are an innovative thinker passionate about driving AI/ML solutions in financial planning and analysis. You have found the right team. As an Applied AI/ML Lead in our Firmwide Planning & Analysis (FP&A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities for our firm. You will be responsible for partnering across the organization to provide AI/ML-based solutions, oversight, and coordination of advanced analytical techniques. Our Data Science Center of Excellence (COE) teams are responsible for a wide range of activities including analyzing business problems, experimenting with statistical and machine learning models, developing solutions with state-of-the-art machine learning and deep learning algorithms, and advising cross-functional teams on how to enhance productivity and efficiencies. Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&A, Information Retrieval/Summarization, Search, etc. Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap. Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production. Communicate findings and insights through clear and concise visualizations and reports. Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&A organization. Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization. Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity. Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making. Required qualifications, capabilities, and skills. MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning. Minimum 3 years of experience in data science, machine learning, or a related role. Proficiency in programming languages such as Python or R. Experience with LLMs and Prompt Engineering techniques. Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred qualifications, capabilities, and skills. Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models. Proven track record in successful development and deployment of AI/ML based solutions to solve large and complex business operations. Experience in leading a team and/or supervising and mentoring junior analysts.,

The Head of Product Development at Value Health Inc. is responsible for leading the strategy, design, and execution of cutting-edge AI-powered products. In this role, you will oversee the end-to-end development lifecycle, ensuring seamless integration of Gen AI capabilities into innovative solutions. The ideal candidate will possess deep expertise in AI/ML, strong leadership skills, and a proven track record in building AI-driven products that deliver business value. As the Head of Product Development, your day-to-day activities will include: Strategic Leadership: Defining and executing the Gen AI product roadmap aligned with business goals and market needs. Product Development: Leading and overseeing the design, development, and deployment of AI-powered products, ensuring high scalability, security, and performance. Team Management: Building, mentoring, and leading a team of AI researchers, engineers, and product managers to drive innovation and execution. AI Research & Innovation: Staying at the forefront of Generative AI advancements, identifying opportunities to enhance products with state-of-the-art AI techniques. Collaboration: Working closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure successful product launches and adoption. Technical Oversight: Guiding the implementation of ML models, algorithms, and frameworks to optimize performance and efficiency. Customer-Centric Approach: Gathering market feedback, analyzing user needs, and ensuring AI solutions align with customer expectations and business objectives. Compliance & Ethics: Ensuring adherence to AI governance, ethical AI practices, data privacy laws, and regulatory compliance in all AI-driven solutions. Budget & Resource Allocation: Managing budgets, resources, and timelines effectively to meet project deadlines and company goals. Qualifications: - Master's in computer science, AI/ML, Data Science, or a related field. - 10+ years of experience in product development, with at least 5 years in AI/ML, and 3+ years leading AI-driven product teams. - Strong expertise in Generative AI technologies such as LLMs (Large Language Models), NLP, GANs, Transformers, and multimodal AI. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and cloud AI services. - Proven ability to scale AI solutions from concept to production in real-world applications. - Strong business acumen with a deep understanding of AI monetization strategies. - Excellent leadership, communication, and stakeholder management skills. - Experience working in a fast-paced, agile startup or enterprise environment. Preferred Skills: - Experience with cloud platforms (AWS, Azure, Google Cloud) for AI deployment. - Knowledge of MLOps best practices, including model monitoring and continuous improvement. - Exposure to ethical AI frameworks and responsible AI principles. - Strong understanding of UI/UX considerations in AI-driven products. - Prior experience in product development. Value Health Inc. offers a dynamic growth environment where you can thrive in a rapidly expanding company with opportunities for professional development and personal growth. You'll have the freedom to think innovatively, experiment with tasks, and make impactful decisions that directly shape the success of crucial companies. Additionally, you can immerse yourself in continuous learning opportunities and contribute to a collaborative and supportive community.,

You are an experienced and highly skilled Salesforce Solution and Platform Architect who will be joining a dynamic team. Your main responsibility will be designing, implementing, and optimizing Salesforce solutions, with a focus on the Agenforce platform and overall Salesforce architecture. Your deep expertise in Salesforce products and platforms, particularly Agenforce, will enable you to deliver solutions that align with industry best practices and meet business needs effectively. Salesforce has recently introduced Agentforce, a suite of autonomous AI agents that enhance employee productivity and customer satisfaction across service, sales, marketing, and commerce functions. By leveraging your core values and expertise, you will contribute to helping companies innovate and improve customer connections. As a Trailblazer, you will drive performance, chart new paths, and make a positive impact on the world through your work. In this role, you will play a pivotal part in redefining innovative Agentforce-driven experiences and lead the evolution of Customer Success in the Agentforce ecosystem. You will collaborate with a diverse Digital Success Engineering team to create Unified Experiences that support Trailblazers effectively. By utilizing Salesforce Agentforce, DataCloud, and other platform capabilities, you will architect and develop human + agent experiences, ensuring a seamless end-to-end solution architecture lifecycle. Your primary responsibilities will include architecting, designing, implementing, and testing scalable Salesforce solutions to enhance user experiences and meet business requirements. You will collaborate with stakeholders to identify opportunities for innovation, document technical solutions for Agenforce deployments, and provide expert guidance on Salesforce Agenforce features and best practices. Additionally, you will stay updated on new releases and enhancements within the Salesforce ecosystem, especially those related to Agenforce & AI, and incorporate them into solution designs. Furthermore, you will mentor and support junior architects and developers, lead the development of custom Salesforce solutions, establish governance frameworks for the platform, and drive cross-functional teams to achieve common goals and business objectives. Your analytical mindset, experience in ML engineering, proficiency in Python and popular ML frameworks, and understanding of agile development methodologies will be valuable assets in this role. To be successful in this position, you must have over 12 years of experience in Software Engineering, with at least 8 years of experience in Salesforce architecture and platform implementation. Experience with Agentforce implementation, ML engineering, Salesforce DevOps, and Salesforce certifications such as Salesforce Certified Technical Architect, Application Architect, and System Architect are preferred. A degree in Computer Science, Software Engineering, or equivalent experience is required for this role. If you are a strategic thinker, adaptable to change, and possess effective communication skills, this role offers you the opportunity to contribute to cutting-edge Salesforce solutions and drive innovation in the Agentforce ecosystem.,

As a Mid Level Gen AI Fullstack professional with 5-6 years of experience, you will be working remotely with an immediate to 15 days notice period. Your primary skills will include expertise in Gen AI fullstack, Azure cloud, and Python. Your main responsibilities will involve designing and developing scalable, full-stack applications using Node.js and Python. You will also be responsible for creating and integrating chatbot solutions using custom-built and third-party platforms like Dialogflow and Oracle Digital Assistant. Additionally, you will need to develop responsive and accessible UI components using HTML, CSS, and JavaScript. Collaboration with AI/ML teams, UX designers, and product owners will be essential to deliver intelligent and user-centric chatbot and Gen AI features. Integrating OpenAI APIs and similar LLMs into applications for advanced conversational and generative capabilities will also be part of your role. You will be required to apply prompt engineering techniques to optimize LLM behavior for specific business use cases. Furthermore, designing and implementing Retrieval-Augmented Generation (RAG) pipelines to provide real-time, grounded responses using external data sources will be crucial. Managing RESTful APIs, handling backend processing, and ensuring seamless data flow will also be your responsibility. Troubleshooting, debugging, and optimizing performance across the tech stack, especially with AI features in production, will be part of your daily tasks. Writing clean, maintainable, and testable code, contributing to peer code reviews, and working in an agile environment with a focus on delivery, experimentation, and continuous improvement are key aspects of this role.,

As a member of our team at Regal Rexnord, you will be responsible for designing and deploying advanced Generative AI solutions utilizing LLMs, multi-agent systems, and RAG architectures. Your role will involve building scalable and secure applications that integrate FastAPI, React/Streamlit, PostgreSQL, and vector databases. You will have the opportunity to leverage frameworks such as LangChain, CrewAI, and HuggingFace to orchestrate multi-step GenAI workflows efficiently. In this position, you will play a crucial role in implementing prompt engineering, fine-tuning, and performance monitoring to enhance model accuracy and reliability. Collaboration across teams to integrate GenAI features into enterprise platforms and deliver business value will be a key aspect of your responsibilities. Additionally, you will work on optimizing GenAI workloads using cloud-native services on Azure, including OpenAI, Functions, and Fabric. At Regal Rexnord, we prioritize model governance, responsible AI practices, and continuous improvement through robust MLOps pipelines. Our company is a publicly held global industrial manufacturer with 30,000 associates worldwide who are dedicated to providing sustainable solutions that power, transmit, and control motion. Our electric motors and air moving subsystems play a crucial role in creating motion, while our portfolio of highly engineered power transmission components efficiently transmits motion for various industrial applications. Our automation offering, which includes controls, actuators, drives, and precision motors, controls motion across a wide range of applications from factory automation to precision control in surgical tools. Regal Rexnord operates in end markets such as factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture. As part of our company, you will be part of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. With offices and manufacturing, sales, and service facilities worldwide, we are committed to creating a better tomorrow through sustainable solutions. For more information about our company and our Sustainability Report, please visit RegalRexnord.com.,

About the Role: We are seeking a highly skilled AI Full-Stack Developer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven applications. This role requires expertise in both front-end and back-end technologies, as well as experience in integrating AI/ML models into scalable web applications. Key Responsibilities: AI/ML Development: - Develop and integrate AI/ML models into web applications. - Optimize model performance and deployment. - Work with frameworks like TensorFlow, PyTorch, or OpenAI APIs. Front-End Development: - Build responsive and interactive UI/UX using React.js, Angular, or Vue.js. - Optimize applications for speed and scalability. Back-End Development: - Develop robust RESTful or GraphQL APIs. - Work with Node.js, Python (Django/Flask/FastAPI). - Manage databases (SQL/NoSQL) and cloud services. DevOps & Deployment: - Deploy AI models and applications on cloud platforms (AWS, GCP, Azure). - Work with Docker, Kubernetes, CI/CD pipelines. Collaboration & Innovation: - Work closely with data scientists, designers, and product teams. - Stay updated with AI advancements and industry best practices. Requirements: Education & Experience: - Bachelors/Masters degree in Computer Science, AI, or a related field. - 4+ years of experience in full-stack development with AI integration. Technical Skills: - Proficiency in Python, JavaScript/TypeScript, and relevant frameworks. - Experience with AI/ML frameworks (TensorFlow, PyTorch, OpenAI API). - Strong knowledge of databases (PostgreSQL, MongoDB, Firebase). - Experience with cloud computing (AWS Lambda, Google Cloud Functions). - Proficiency in Docker, Kubernetes, and CI/CD pipelines. Soft Skills: - Strong problem-solving abilities and analytical thinking. - Excellent communication and teamwork skills. Must Have: - Experience with LLMs (Large Language Models) and NLP. - Familiarity with MLOps practices. - Knowledge of Web3 or blockchain technologies. Why Join Us - Work with cutting-edge technologies and a talented team. - Competitive salary and benefits package. - Flexible work environment with growth opportunities. - Access to professional development and learning resources.,

We are seeking an experienced and results-driven AI Developer to become a valuable part of our team. Your main responsibility will involve developing, deploying, and optimizing AI and machine learning models to address real-world business challenges. Collaborating with diverse teams, you will work towards delivering scalable and ethical AI solutions utilizing cutting-edge tools and technologies. You will be involved in various aspects of AI model development and implementation, including data engineering, preprocessing, and feature selection to enhance model inputs. Your role will also focus on designing, building, and validating machine learning and deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs/LSTMs), Transformers, NLP, computer vision models, reinforcement learning agents, and classical ML techniques. Customizing models to meet specific business requirements will be a key part of your responsibilities. Optimizing model performance, latency, scalability, and resource efficiency, ensuring they are suitable for real-time applications, will be crucial. You will also be responsible for deploying models, managing MLOps pipelines, and integrating models into various systems and applications using APIs or model-serving frameworks. Implementing testing strategies, continuously improving models based on user feedback and performance metrics, and staying abreast of AI/ML advancements and techniques are essential aspects of this role. Collaborating closely with different stakeholders, documenting model architecture, and communicating complex technical topics to non-technical audiences will be part of your routine. In addition to technical skills such as proficiency in Python, experience with libraries like TensorFlow, PyTorch, Keras, Scikit-learn, ML/DL architectures, data manipulation using Pandas, NumPy, SciPy, MLOps tools, Docker, Kubernetes, and CI/CD pipelines, you are expected to possess strong software engineering, analytical, and communication skills. Experience in agile environments and a proven track record in deploying models on cloud platforms are also highly valued. Preferred qualifications include advanced expertise in AI and LLM, domain-specific experience in sectors like healthcare, finance, retail, manufacturing, or customer service, and academic/research background with a strong foundation in statistics and optimization. Hands-on experience with LLMs, familiarity with prompt engineering and RAG, and exposure to vector databases are considered advantageous. Research publications in top AI/ML conferences will be viewed as a significant asset.,