343 Llms Jobs - Page 3

You will be responsible for developing and implementing machine learning models to address business challenges, such as classification, regression, clustering, and recommendation systems. Your role will involve building and overseeing complete data science pipelines, encompassing data preprocessing, feature engineering, model creation, and deployment. Collaborating with diverse teams will be essential to seamlessly integrate models into operational environments. Your focus will be on ensuring that models are scalable, precise, and in line with business objectives. Additionally, you will work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuous evaluation and enhancement of model performance will be crucial to ensure solutions remain current with the latest AI/ML advancements. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. A minimum of 3+ years of practical experience in data science and machine learning is required. Proficiency in Python is essential, along with a strong background in utilizing libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in constructing and deploying machine learning models in live environments is essential. Familiarity with NLP techniques and deep learning models, including CNNs, RNNs, and Transformers like LLMs for classification and sentiment analysis, is crucial. Any exposure to cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) would be advantageous. Strong analytical and problem-solving abilities are necessary, particularly when working with extensive and intricate datasets. Effective communication skills are also key in this role. This position offers an exciting opportunity to leverage your expertise in data science and machine learning to develop innovative solutions that drive business success while staying at the forefront of AI/ML developments.,

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). You will build intelligent systems that understand natural language queries and automate complex workflows. Additionally, you will integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. You will also prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaboration with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features is a key aspect of this role. Furthermore, you will work on prompt engineering, few-shot learning, and tool use orchestration. Key Responsibilities: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens - A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

We are looking for a Senior Product Manager to join our growing product team. In this role, youll take ownership of end-to-end product experiences across web and app from discovery and evaluation to investment execution and portfolio. You'll start by owning core user journeys related to investment discovery and engagement, but the role is flexible and may evolve to include other strategic product areas based on business needs and your strengths. You will work cross-functionally with design, engineering, analytics, business, and marketing teams to build high-impact features that drive user growth, engagement, and retention. Key Responsibilities: Take ownership of one or more product areas across the investment journey (e.g., discovery, listings, investment decisioning, portfolio experience, liquidity, or personalization). Build seamless and intuitive user experiences across web and app. Collaborate with design and engineering teams to define, scope, and ship impactful features. Work with analytics and growth teams to identify funnel drop-offs and solve them with data-backed decisions. Launch, measure, and iterate on new products and features quickly. Coordinate with business, content, and marketing teams to drive conversions. Define and track product metrics, user engagement, and funnel movement. Contribute to product strategy and roadmap planning across pods. Optionally mentor junior PMs or analysts within the product team. Experience & Qualifications: 5 to 8 years of product management experience in high-growth consumer internet, fintech, or investment platforms Strong problem-solving and analytical skills with a deep understanding of funnels, user behavior, and retention Experience working with product analytics tools like GA4, MoEngage, Mixpanel, Amplitude, etc. Demonstrated success in shipping features end-to-end with measurable business impact. Excellent communication, stakeholder management, and project execution skills. Comfort in working in fast-paced environments with cross-functional collaboration. Bonus: Experience in fixed-income, wealth-tech, marketplaces, or buy/sell flow. Highly Preferred: Exposure to Agentic AI, Large Language Models (LLMs), and product automations for efficiency .

This is a 6-month paid internship designed as a path to full-time employment. You will work on complex, high-visibility systems from day one, solving problems where AI and engineering meet real-world data. Top performers will be offered a full-time role with compensation and equity. Responsibilities - Build intelligent scraping pipelines with fallback logic (GET Playwright LLM). - Parse messy HTML using DOM-aware logic to extract emails, names, and keywords. - Use lexical similarity and subsequence scoring to associate entities with goals. - Integrate and optimize LLM APIs (OpenAI, Claude, Sonar) for reasoning and enrichment. - Create structured reports in JSON/HTML from semi-structured sources. - Optimize backend performance for multi-threaded, concurrent web crawling. - Experiment with goal-classification models, AI-driven contact curation, and relevance ranking. Requirements - A strong academic background in CS, engineering, AI, or related fields. - Solid programming skills in Python (and optionally Node.js). - Direct experience with LLMs, including usage of OpenAI/Claude APIs in real projects. - Projects or work demonstrating hands-on use of AI for reasoning, enrichment, or extraction. - Deep curiosity and creativity in solving open-ended, data-heavy problems. - The ability to move fast, think clearly, and work hard. - A willingness to iterate, debug, and own real production features. Bonus If You Also Have - Experience scraping the web at scale using Playwright, asyncio, or similar. - Understanding of DOM traversal and proximity-based entity matching. - Built tools or algorithms using subsequences and string similarity measures. - Strong opinions on when and how to use AI to supplement human reasoning.,

The ideal candidate for this role should have a solid understanding of the technical aspects of Large Language Models (LLMs) and possess proficient skills in prompt engineering. You will be responsible for running tests, fine-tuning various LLM models and data to enhance model performance and output quality. Additionally, you will be required to explore cutting-edge AI/GenAI technology stacks under the guidance of the manager to enhance LLUMO's product offerings. A basic understanding of data engineering is also essential for this position. Your expertise should include a deep understanding of the architecture and functioning of LLMs such as GPT, LLAMA, BISON, among others. You should be familiar with application development frameworks like LangChain, LlamaIndex, and have knowledge of vector index and vector databases. A strong grasp of underlying architecture and algorithms like RLHF, transformers, attention mechanism, and DNNs is crucial. Proficiency in Python and frameworks like Hugging Face transformers, PyTorch, etc., is required. Prior experience in prompt engineering techniques to customize the behavior of LLMs for specific tasks is preferred. You should be skilled in the fine-tuning process to adapt models to particular domains or tasks. Knowledge of tools and techniques for interpreting the behavior of LLMs and proficiency in version control systems such as Git for tracking code and model configuration changes are necessary. Moreover, familiarity with ethical and legal considerations in language model development, including bias-hallucination mitigation, is essential. The qualifications for this position include a Bachelor's or advanced degree in Computer Science, Natural Language Processing (NLP), or a related field. This is a full-time job with a work schedule from Monday to Friday, and the work location is in-person. Job Type: Full-time Schedule: Monday to Friday Work Location: In person,

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

NTT DATA is looking for a Data & Analytics Principal Consultant to join their team in Bangalore, Karnataka, India. As a part of this inclusive and forward-thinking organization, you will be responsible for hands-on development of GenAI solutions using the Microsoft Azure platform. You will lead the build team, maintain, deploy, and support the internal GenAI platform and integrate with LLM, Langchain, and OpenAI. Your duties will include designing and building advanced GenAI plugins and services to streamline workflows and tackle complex challenges. You will also conduct code and PR reviews, collaborate with DevOps and Cloud Engineering teams to enhance development processes, and ensure requirements are met in the platform build-out. Additionally, you will collaborate on the design and implementation of best practices for Vector DB architecture, stay updated on generative AI and LLMs, and produce detailed technical documentation for platform capabilities. The ideal candidate should have expertise in Microsoft Gen AI - copilot, Azure AI/ML, and a strong understanding of GenAI solutions development. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts across more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence solutions, and the development and management of applications, infrastructure, and connectivity. Join NTT DATA to drive innovation and transformation for long-term success.,

As a Senior Software Engineer specializing in Data Science, you are expected to bring 3 to 6 years of experience to the role. Your expertise will be crucial in driving our projects forward and achieving our goals. Working at our location in Airoli, Navi Mumbai, you will adhere to office hours from 11 AM to 8 PM across 5 days a week. Your primary responsibility will be to leverage your 3 years of experience as a Data Scientist and a minimum of 3 years of proficiency in Python programming to design, develop, and maintain Python-based applications with a focus on ML and AI. Additionally, you should possess at least 1+ years of experience in ML & NLP, 1.5 years of experience with LLMs and generative AI (GenAI), and 2 years of experience with any database. Your role will also involve deploying ML models/Python applications on Azure or AWS, and familiarity with LLMOps will be considered a plus. In this position, you will design and optimize ML/NLP models and integrate them into production systems. You will be responsible for implementing and fine-tuning LLMs and GenAI solutions for business applications, managing database structures to support ML applications and data pipelines, and deploying and monitoring ML models in cloud environments such as AWS/Azure. Collaboration is key in our work environment, and you will be expected to work closely with cross-functional teams to deliver effective solutions. Your ability to write clean, efficient, and well-documented code will be essential. Participation in code reviews, providing feedback, troubleshooting technical issues in production, and staying updated with emerging trends in ML, NLP, and GenAI are all vital aspects of this role.,

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: ? Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. ? Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. ? Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: -Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting -Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite -Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) -Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops -Strong in privacy-preserving AI (federated learning, differential privacy) -Secure real-time comms (WebRTC, SIP, RTP) Nice to have: -Experience with MCP or similar protocol frameworks -Background in wearables/XR or smart glass AI platforms -Expertise in platform security architectures (sandboxing, auditability) Industry Technology, Information and Internet Employment Type Full-time Show more Show less

We are looking for an experienced Solution Architect in Generative AI to lead the design and delivery of enterprise-grade GenAI solutions across Azure and Google Cloud platforms. This is a full-stack leadership role requiring deep technical expertise and the ability to guide teams through end-to-end project execution. Key Responsibilities: Lead architecture for GenAI projects: LLMs, embeddings, RAG, prompt engineering, agent frameworks. Define scalable designs across full-stack: React, Node.js, .NET Core, C#, Cosmos DB, SQL/NoSQL, vector DBs. Implement Azure/GCP cloud-native solutions using AKS, GKE, Functions, Pub/Sub. Drive CI/CD automation via GitHub Actions, Azure DevOps, Cloud Build. Conduct architecture/code reviews and enforce security, DevSecOps, and performance standards. Translate business requirements into technical solutions and communicate with senior stakeholders. Mentor engineering teams and promote innovation, collaboration, and agile delivery. Required Skills: Generative AI, LLMs, Prompt Engineering, LangChain, RAG, C#, .NET Core, React, Node.js, Azure, Google Cloud, AKS, GKE, Terraform, CI/CD, Cosmos DB, BigQuery, Microservices, DevSecOps, API Gateway Qualifications: Bachelors in Computer Science or Engineering (Master’s in AI/ML preferred) Strong leadership, communication, and stakeholder management skills Apply Now: shrishtispearhead1@gmail.com Contact: +91 8299010653

Position Title: Full Stack Developer Openings: 34 Positions Location: Gurugram (On-site) Company: BlackNGreen Mobile Solutions Pvt. Ltd. (BNG) Role Overview: We are hiring Full Stack Developers to join our AI-driven product team . This role involves building scalable backend services, designing robust APIs, and integrating large language models (LLMs) into modern digital products. Note: We are only considering candidates currently working in product-based companies . Responsibilities: Develop clean, maintainable, and efficient code (Python/Java). Design and implement APIs and integrate backend services. Collaborate with AI teams on LLM model integrations (e.g., OpenAI, Claude, Lama). Contribute to architectural decisions for scalable and resilient systems. Follow Git-based version control and branching strategies. Execute unit tests and participate in peer code reviews. Collaborate closely with product managers, designers, and frontend teams. Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 3+ years of hands-on experience in full-stack or backend development. Strong knowledge of Python, Java , or similar languages. Proficient in cloud platforms (AWS, Azure, or GCP). Understanding of AI/ML concepts, especially LLMs. Familiarity with Git and CI/CD tools (GitLab, Jenkins). Strong communication, analytical, and team collaboration skills. Interview Drive Details: We are conducting a Face-to-Face Virtual Interview Drive on: Date: 2nd August Venue: Plot No 242-243, AIHP Palms, Ground Floor, Phase IV, Udyog Vihar, Sector 18, Gurugram, Haryana 122015 Application Note: Only candidates with a background in product-based companies will be considered. Apply Now to be part of a team transforming global digital and telecom innovation!

Are you passionate about driving strategic business decisions , optimising operations , and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team! Location : Bangalore, India Job Type : Full-time Work From Office About Tracxn Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team. Your Role & Impact As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives. Business Strategy & Process Optimization Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations. Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing. Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations. Work closely with leadership to align operational processes with business objectives, driving improved outcomes. Continuously monitor and optimize data processing workflows to support rapid scalability and business growth. Data Operations & Automation Strategy Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions. Implement workflow automation to streamline repetitive tasks and minimize manual dependencies. Enhance data processing accuracy and speed by integrating robust automation solutions into data operations. Ensure the development of scalable data operations models that can support business growth while minimizing operational costs. Data-Driven Decision Making & Insights Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency. Provide leadership with actionable insights for decision-making. Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement. Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability. Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement. Automation & Technology Integration Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment. Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies. Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity. Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform. Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times. Leadership & Cross-Functional Collaboration Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence. Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency. Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team. Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability. Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction. What Success Looks Like in This Role Achieving operational scalability by significantly reducing manual interventions through automation. Enhancing data processing accuracy, speed, and output quality to support business growth. Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times. Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth. Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation. What Were Looking For Up to 10 years of experience in business strategy, operations, or process automation. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Ability to drive scalable process improvements in a data-driven environment. Excellent problem-solving, analytical, and stakeholder management skills. Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus). Why Join Tracxn? Lead strategic business initiatives in a high-impact, data-first organization. Drive automation and operational transformation at scale. Be part of a fast-growing, tech-driven company. Competitive compensation & fast career growth opportunities.

Yahoo Finance is the world's leading finance destination, providing investors with news, information, and tools to make confident financial decisions. Trusted by over 150 million visitors globally each month, representing over $20 trillion dollars in investable assets, Yahoo Finance delivers high-quality real-time market data across desktop, mobile, and streaming platforms. With breaking news from thousands of sources, original editorial perspectives, objective analyst ratings and research, analytical charts and technical tools, personalized mobile alerts, and more, Yahoo Finance equips investors with knowledge and insights to achieve financial freedom and greater prosperity. Yahoo is a top provider of media and technology brands, reaching over a billion people worldwide. Yahoos Media Engineering organization utilizes the latest technologies to build brands that members love, including Yahoo, AOL, Engadget, TechCrunch, Autoblog, In The Know, and more. With a focus on building at a massive scale to reach hundreds of millions of users, our teams strive to create world-class user experiences, delivering trusted content and data across all brands. We are committed to building and revitalizing this essential, trusted resource for investors and savers under a new leadership team. As an experienced engineer, you will collaborate closely with Engineering, Product, and Design teams to enhance our product offerings. You will develop applications and tools essential for supporting our business operations and ensuring the quality of our data and services. This role involves architecting, designing, scoping, building, maintaining, and iterating on systems needed to deliver world-class finance products and features. Responsibilities: - Be part of an agile scrum team, demonstrating progress through proof of concept, sandboxing, and prototyping - Architect and design scalable, maintainable, secure, and reusable strategic solutions - Deploy, monitor, and manage ML models in production environments using MLOps best practices - Work closely with data scientists to transition models from development to production efficiently - Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness - Design and implement frameworks and tools to empower developers and non-technical colleagues - Lead key team initiatives by managing and improving the software development life cycle - Seek opportunities to improve quality and efficiency in day-to-day workflow processes - Present and communicate progress across multiple groups, sharing knowledge and best practices - Perform code reviews for peers and recommend approaches to solving complex problems - Own, deploy, monitor, and operate large-scale production systems - Lead and mentor junior engineers in building production-grade systems and applications - Act as a technical liaison to translate business needs into technical solutions Requirements (must have): - MS or PhD in Computer Science or related major - 5 to 10 years industry experience as a Back End Engineer, ML Engineer, or Research Engineer - Deep functional knowledge and hands-on experience with AWS or GCP cloud services, RESTful Web Services, Containerization (Docker, ECS, Kubernetes), and modern AI tools - Experience with AI/ML Ops tools and platforms, basic Data Science concepts, and version control tools - Capable of implementing resilient web architecture and building web products end to end - Familiarity with financial datasets and experience with time series analysis - Ability to work in a hybrid model, commuting 3 days a week to an office in Bangalore Important notes: - All applicants must apply for Yahoo openings directly with Yahoo - Offer letters and documents will be issued through the system for e-signatures - Yahoo offers flexibility around employee location and hybrid working For further inquiries about the role, please discuss with the recruiter.,

Ccube is a fast-growing technology company dedicated to transforming how businesses harness the power of Apps, Data, and AI. We help organizations thrive by delivering integrated solutions across various sectors. We are currently seeking a dynamic individual to join our team as a "GenAI Pre-Sales Consultant" based in Indore (Hybrid), on a Full-Time basis in the AI/Tech domain. As a GenAI Pre-Sales Consultant, you will play a crucial role in leading sales for Generative AI solutions, which includes LLMs, RAG, vector DBs, and AI agents. Your main responsibilities will include prospecting, pitching, and closing AI deals, leading client discovery sessions and product demos, translating GenAI technology into ROI for clients, collaborating with technical teams, and managing your sales pipeline efficiently using tools like HubSpot/Salesforce. The ideal candidate should possess at least 6+ years of experience in B2B tech sales or consulting, have a strong understanding of LLMs, RAG, vector DBs (e.g., Pinecone), be an excellent communicator with a blend of technical and business acumen, be well-versed in CRM tools, self-motivated, and prioritize client satisfaction. Previous experience in selling AI/ML platforms or working in industries like fintech, healthcare, or retail would be a bonus. At Ccube, we offer an environment where you can build the future by being part of a mission-driven company that is shaping the next generation of AI and digital solutions. You will collaborate with talented individuals who value transparency, experimentation, and integrity, while also benefiting from career mobility, competitive compensation including base salary, commission, and stock options, opportunities for professional growth through annual stipends for certifications, courses, and industry events. If you are ready to help companies unlock the power of technology and contribute to building something extraordinary in the process, we encourage you to reach out to us at "rahul@ccube.com" for more details. Join us at Ccube and be part of a collaborative culture that nurtures talent, innovation, and success. Powered by JazzHR,

You have accumulated over 10 years of experience as a Product Manager/Product Owner, with a minimum of 2 years specifically in AI/ML product ownership. As an experienced Product Owner, you will be responsible for leading the vision, strategy, and implementation of our AI-based Test Intelligence Platform. This platform is designed to transform software testing through the utilization of AI/ML, data analytics, and automation to offer actionable insights, test generation, predictive testing, risk-based prioritization, and intelligent regression strategies. Your key responsibilities will include defining and managing the product roadmap, backlog, and feature prioritization based on customer requirements, business objectives, and AI capabilities. Collaboration with cross-functional teams, such as AI/ML engineers, QA, DevOps, and UX, will be essential to translate requirements into scalable product features. You will drive the discovery, definition, and delivery of features like test generation, test impact analysis, flaky test detection, root cause analytics, and automated risk scoring. Additionally, conducting competitive benchmarking of test intelligence tools and partnering with customers and internal stakeholders to collect feedback and enhance user journeys will be part of your role. Defining and monitoring necessary KPIs is also crucial. The ideal candidate will possess proven experience as a Product Owner or Product Manager in software development, test automation, DevOps, or quality engineering domains. A good grasp of AI/ML concepts, model lifecycle, and their integration in software products is essential. Familiarity with test frameworks, CI/CD pipelines, and telemetry tools, along with experience in test analytics, coverage tracking, impact-based testing, and test optimization, are required. Strong analytical, communication, and stakeholder management skills are necessary, as well as exposure to agile methodologies and tools. Experience with or the development of developer/tester tools, along with exposure to GenAI, LLMs, or NLP-driven test automation, will be considered advantageous.,

As a Principal Engineer at our company, you will have the opportunity to lead the architecture and execution of our innovative GenAI-powered, self-serve marketing platforms. Working closely with the CEO, you will play a crucial role in shaping, building, and scaling products that revolutionize how marketers interact with data and AI. This position offers a unique chance to engage in real-world product development with traction, velocity, and high impact. Your responsibilities will include co-owning the product architecture and direction with the CEO, building GenAI-native full-stack platforms from MVP to scale utilizing LLMs, agents, and predictive AI. You will be in charge of the full stack, encompassing React for the frontend, Node.js/Python for the backend, GCP for infrastructure, BigQuery for data, and vector databases for AI. Leading a lean, high-caliber team, you will adopt a hands-on, unblock-and-coach mindset to drive rapid iteration with rigor while maintaining a balance between short-term delivery and long-term resilience. To excel in this role, you should possess 8-12 years of experience in building and scaling full-stack, data-heavy, or AI-driven products. Proficiency in React, Node.js, and Google Cloud is essential, with hands-on experience in GenAI tools being a bonus. You should demonstrate a track record of shipping products from ambiguity to impact, along with the ability to architect and construct scalable microservices and APIs that are robust, maintainable, and performant. Collaboration with cross-functional teams, promotion of engineering best practices, and mentorship of junior and mid-level engineers will also be key aspects of your role. Additionally, you will be responsible for proactively identifying tech debt, proposing scalable solutions, ensuring strong engineering processes through Agile practices and DevOps automation, and staying updated with emerging technology trends. Your contribution to hiring and talent development within the engineering team will further enhance our capabilities and drive innovation in our products.,

As the Head of AI at our company, you will play a crucial role in leading the research, development, and deployment of cutting-edge AI and ML models that drive our SaaS platform. This position requires a unique blend of profound technical knowledge, product insight, strategic acumen, and the ability to make a significant impact on a large scale. Your primary objective will be to translate ambitious AI concepts into practical solutions that bring tangible business value. Your responsibilities will include defining and overseeing the AI roadmap and strategy to align with our product and business objectives. You will design and construct state-of-the-art AI/ML systems and pipelines that are not only robust and scalable but also easy to maintain. Leading and guiding a team comprising machine learning engineers, data scientists, and researchers will be a core aspect of your role. Collaboration with engineering, product, and design teams to seamlessly integrate AI solutions into user-facing features will be essential. You will be at the forefront of exploring and implementing the latest advancements in NLP, LLMs, generative AI, and other pertinent domains to enhance our core product. Additionally, you will be responsible for supervising data collection, annotation, and governance processes to drive AI innovation in a responsible and ethical manner. Your vision and leadership will be instrumental in shaping the foundation of a product that sets new standards in its category. Working alongside industry pioneers in an environment that values initiative and innovation, you will have end-to-end ownership, enabling quick decision-making and the opportunity to witness your work in production promptly. Joining a dynamic, collaborative, and fast-paced team dedicated to pushing the boundaries of AI, you will enjoy perks and benefits such as gym membership, health insurance, company-sponsored lunches, and more.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

As a skilled Python Backend Engineer at Cognio Labs, you will be responsible for leveraging your expertise in FastAPI and your strong foundation in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies. Your role will involve a blend of backend development and data science to facilitate data processing for model fine-tuning and training. You should have a minimum of 2 years of experience in Python backend development and possess the ability to develop and maintain APIs using the FastAPI framework. Proficiency in asynchronous programming, background task implementation, and database management using both SQL and NoSQL databases, especially MongoDB, are essential. Additionally, familiarity with Git version control systems and RESTful API design and implementation is required. Experience with containerization technologies like Docker, understanding of component-based architecture principles, and the capability to write clean, maintainable, and testable code are valuable additional technical skills. Knowledge of testing frameworks, quality assurance practices, and AI technologies such as LangChain, ChatGPT endpoints, and other LLM frameworks will be advantageous. In the realm of AI and Data Science, your experience with LLMs and RAG implementation will be highly valued. You should be adept at data processing for fine-tuning language models, manipulating and analyzing data using Python libraries such as Pandas and NumPy, and implementing machine learning workflows efficiently. Your key responsibilities will include designing, developing, and maintaining robust, scalable APIs using the FastAPI framework, preparing data for model fine-tuning and training, implementing background tasks and asynchronous processing for system optimization, integrating LLM and RAG-based solutions into the product ecosystem, and following industry best practices to write efficient, maintainable code. Collaboration with team members, database design and implementation, troubleshooting and debugging codebase issues, as well as staying updated on emerging technologies in Python development, LLMs, and data science will be integral parts of your role at Cognio Labs.,

As the AVP Business Intelligence Unit Manager in the Business Intelligence Analytics department of a private bank in Mumbai, your main responsibility is to lead and manage business intelligence initiatives focused on automation, data democratization, and standardization. Your role will involve generating actionable insights, automating dashboards, and supporting risk management through analytics. You will be expected to have a strong understanding of NLP, LLMs, Deep Learning, Machine Learning, Text generation, etc. Additionally, you will lead the automation of regular reports and MIS using SAS Viya and Power BI. Supporting business teams in converting manual reporting into dynamic dashboards will also be a key part of your role. Collaboration with risk compliance, product teams, IT, data engineers, and governance is essential to ensure consistent data. Working on complex data sets to identify key trends, exposures, and risk indicators using visual analytics for business highlighting is another crucial aspect of your job. You will also be responsible for the monthly preparation and timely publishing of the Risk Review Deck for senior management review. Monitoring and enforcing best practices in data sourcing and transformation will be part of your job requirements. The ideal candidate for this role should have a graduate or postgraduate degree in Engineering, Statistics, Mathematics, or a related field. You should have 7-8 years of experience in Business Intelligence/Data Analytics in the banking sector. Hands-on experience in data visualization tools like Power BI, Tableau, and language queries like SAS, SQL, Python is necessary. Understanding risk metrics and exposure analysis in banking is preferred. Strong communication and stakeholder management skills are also required for this role.,

As an AI Senior Developer in the Sales Cloud team at SAP, your primary responsibility will be to develop product features within the Sales portfolio, integrating AI-driven solutions, and helping the team deliver services on the cloud-native stack on a continuous basis. You will work with a highly motivated and talented set of colleagues, translating business requirements into scalable and performant technical solutions. Your role will involve designing, coding, testing, and assuring the quality of complex AI-powered product features within the Customer Experience & Sales portfolio. To excel in this role, you should bring at least 4-9 years of software engineering experience, with significant exposure to building products on the cloud-native stack. Strong knowledge of Computer Science fundamentals is essential, along with proficiency in Python/Java; Spring Boot experience is preferred. Familiarity with JavaScript, experience with Angular or ABAP, and hands-on experience with Git and CI/CD pipelines are desired qualifications. You should have a proven track record of writing production-grade code for enterprise-scale systems and experience with SQL databases; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Additionally, experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.) is valuable. Demonstrated ability to build or integrate AI-driven features into enterprise applications is key, and familiarity with SAP software (e.g., SAP S/4HANA, SAP Business Technology Platform) is an asset. Knowledge of Agentic AI and frameworks is also beneficial. Strong collaboration and communication skills are crucial for success in this role, along with experience using tools like JIRA for tracking tasks and bugs. Joining the SAP CX team means positively impacting how businesses are run globally. SAP CX is a leader in enterprise cloud applications for cloud CRM and DXP solutions, empowering organizations to understand their customers better and engage with relevance and personalization. At SAP, we believe in a culture of inclusion, focus on health and well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We are committed to creating a better and more equitable world by unleashing all talent and investing in our employees" development. If you have what it takes to be part of a dynamic team that drives the company's product portfolio forward, we want to hear from you. SAP is proud to be an equal opportunity workplace and an affirmative action employer. We provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and require accommodation or special assistance, please contact the Recruiting Operations Team at Careers@sap.com.,

You are a highly experienced Principal Solution Architect responsible for leading the design, development, and implementation of sophisticated cloud-based data solutions for key clients. With deep technical expertise in multiple cloud platforms such as AWS, Azure, and GCP, as well as modern data technologies, your role is pivotal in shaping data strategies, driving innovation through GenAI and LLMs, and ensuring successful delivery of complex data projects across various industries. Your key responsibilities include leading the architecture and design of robust, scalable, and secure enterprise-grade data solutions like data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Additionally, you will collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Supporting pre-sales activities, including proposal development and solution demonstrations, is also a crucial aspect of your role. Furthermore, you are expected to drive data and analytics modernization initiatives by leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value. Applying data architecture best practices across various industries such as BFSI, Retail, Supply Chain, and Manufacturing is also a key part of your responsibilities. To qualify for this position, you should have at least 10 years of experience in IT, focusing on data architecture, solution architecture, and data engineering, with proven experience in a principal-level or lead architect role. Deep, hands-on experience with major cloud platforms like Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview) and GCP (Big Query, Vertex.AI, Gemini) is essential. Additionally, you should have expertise in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions, strong leadership and communication skills, exceptional problem-solving abilities, and a Bachelor's or Master's degree in computer science, engineering, information technology, or a related field. Preferred qualifications include relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks, as well as experience with Agentic AI and hyper-intelligent automation.,

Are you passionate about building world-class AI-driven applications We are looking for a skilled Senior Full Stack AI Developer with 5-10 years of experience (including 3+ years in AI) to join our innovative team in Noida. As a part of our team, you will be responsible for designing and deploying AI-powered full stack solutions using Python, Node.js, Django, LangChain, LLMs, and ReactJS. Your role will involve integrating advanced LLM and LangChain models into robust applications, collaborating with cross-functional teams for seamless project delivery, mentoring junior developers, and driving best coding practices to optimize application performance and scalability. The ideal candidate must have 5-10 years of development experience, with a minimum of 3 years dedicated to AI. Proficiency in Python, Node.js, Django, LangChain, LLMs, and ReactJS is essential for this role. Additionally, excellent problem-solving and communication skills are required. The candidate should be able to join within 15 days. Prior experience in a similar band (C1/C2) is preferred. If you are ready to take your AI career to the next level and meet the above requirements, we encourage you to apply for this exciting opportunity to contribute to building cutting-edge AI solutions.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,