819 Llms Jobs - Page 18

As a Test Engineer, you will be responsible for supporting the AI & Data science teams in testing their AI/ML flows. You will analyze system specifications, develop detailed test plans and test cases, execute test cases, and identify defects. Your role includes documenting and reporting defects to the development team, collaborating with them to resolve issues, and ensuring that the software meets quality standards and best practices. Participation in review meetings to provide feedback is also part of your responsibilities. It is essential to have excellent knowledge of SDLC and STLC, along with expertise in Agile methodology. Your technical skills should include a strong understanding of Testing framework & automation concepts, as well as proficiency in Pandas, Python, Pytest, SQL, SparkSQL, Pyspark, and testing LLMs such as GPT, LLAMA, Gemma. Additionally, good database skills in any relational DB, hands-on experience with the Databricks Platform, and the ability to comprehend models and write Python scripts to test data inflow and outflow are required. You should also be proficient in Programming and Query Language, with knowledge of Cloud platforms, preferably Azure fundamentals and Azure analytics services. Writing test scripts from designs and expertise in Jira, Excel, and Confluence are important technical skills. In terms of soft skills, excellent verbal and written communication skills in English are necessary. You should be able to work both independently and as part of a team, demonstrating strong project leadership and communication skills, including customer-facing interactions. It would be beneficial to have skills in API testing, Test automation, Azure AI services, and any vector dB/Graph dB. Familiarity with ML NLP algorithms, entity mining & clustering, and sentiment analysis is also considered advantageous for this role.,

As a Machine Learning Engineer at Optimum Data Analytics, you will be part of a strategic technology partner delivering reliable turnkey AI solutions. Your role will involve designing, developing, and deploying machine learning models for real-world applications using modern ML tools and frameworks. You will collaborate with cross-functional teams to ensure high-quality results and client satisfaction. Additionally, you will work on integrating and experimenting with Large Language Models, such as OpenAI GPT and Hugging Face Transformers, to drive outcomes that matter. Your expertise in Python programming, machine learning algorithms, and model development will be crucial in optimizing end-to-end ML pipelines and improving model accuracy and reliability. Key Responsibilities: - Design, develop, and deploy machine learning models for real-world applications. - Implement and optimize end-to-end ML pipelines using PySpark and MLflow. - Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. - Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. - Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. - Collaborate with cross-functional teams including data engineers, product managers, and software developers. - Monitor model performance and continuously improve model accuracy and reliability. - Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: - Strong programming experience in Python. - Solid understanding of machine learning algorithms, model development, and evaluation techniques. - Experience with PySpark for large-scale data processing. - Proficient with MLflow for tracking experiments and model lifecycle management. - Hands-on experience with Pandas, NumPy, and Scikit-learn. - Familiarity or hands-on experience with Large Language Models (LLMs). - Understanding of MLOps principles and deployment best practices. Preferred Qualifications: - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. - Strong analytical and problem-solving abilities. - Excellent communication and teamwork skills. If you are a highly motivated individual with 6-8 years of experience in Machine Learning and are looking to work onsite at either Pune or Indore office with an immediate joiner notice period of 15 days, we invite you to join our team at Optimum Data Analytics. Let's change how AI/ML is approached in the service sector and deliver outcomes that matter together.,

As a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning at FIS, you will be part of a dynamic team that thrives on curiosity, motivation, and forward-thinking. Your role will involve utilizing cutting-edge AI technologies to tackle complex challenges in the financial services and technology sectors. You will be responsible for leveraging AIML concepts such as GenAI, LLMs, and Sentiment analysis to develop innovative solutions. This will involve establishing correlations between various data points and conducting predictive and preventive analyses to drive business outcomes. Working closely with our AIOPS team, you will contribute to the development of AIML solutions aimed at reducing Enterprise MTTR through a top-notch product. Your day-to-day tasks will include employing machine learning and statistical modeling techniques to enhance data-driven products, extracting actionable insights from diverse datasets, and transforming complex data into actionable information. To excel in this role, you should possess 4 to 6 years of experience in machine learning, artificial intelligence, statistical modeling, and data analysis. Proficiency in data science tools and programming languages such as SAS, Python, R, Scala, and SQL is essential. A relevant degree in Artificial Intelligence Machine Learning, as well as knowledge of cloud-based technologies and the financial services industry, will be advantageous. In return, FIS offers a comprehensive range of benefits to support your wellbeing and lifestyle. You will be part of a diverse and innovative team operating in a modern international work environment. Additionally, you will have access to professional education and personal development opportunities to further enhance your skills and career growth. Join us at FIS and be part of a team that values collaboration, entrepreneurship, and fun while making a meaningful impact in the world of AI and data science.,

Do you want to be part of a team that delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month Join the Microsoft Turing team, an innovative engineering and research team working on cutting-edge deep learning models and conversational search experiences. The team leads the platform and innovation for conversational search and core copilot experiences across Microsoft's ecosystem, including BizChat, Office, and Windows. As a Principal Applied Science Manager in the Turing team, you will be involved in multiple hands-on data science activities with tight timelines. This includes training models, creating evaluation sets, building infrastructure for training and evaluation, and more. You will collaborate with internal and external data science, product, and engineering teams across time zones. Microsoft's mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. We uphold values of respect, integrity, and accountability to create an inclusive culture where everyone can thrive. Responsibilities As a Principal Applied Science Manager, you will: - Drive projects from design through implementation, experimentation, and shipping to users by deep diving into data, identifying gaps, creating models, and setting up infrastructure. - Manage a team of applied scientists, assign tasks, mentor them, and take responsibility for their growth and output. - Document progress, assist junior team members, and come up with evaluation techniques, datasets, and metrics for model evaluations. - Own the fine-tuning and use of language models, including dataset creation, filtering, review, and continuous iteration. You will work in a geographically distributed team environment where collaboration and innovation are key. Your work will directly impact the design, functionality, security, and scalability of Microsoft products using deep learning technology. Qualifications Required Qualifications: - Bachelor's, Master's, or Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with relevant years of experience. - People management experience. - Industrial experience coding in C++, C#, C, Java, or Python. - Prior experience with data analysis, machine learning frameworks, and deep learning concepts. - Ability to communicate technical details clearly across teams. Preferred Qualifications: - Master's or Doctorate in related fields with additional years of experience. - People management experience. Join us at Microsoft and be part of a team that values collaboration, innovation, and continuous learning. Your contributions will shape the future of technology and empower users worldwide.,

You will be joining Creanovation Technologies Pvt. Ltd as an Assistant Professor/ Technical Trainer in the Department of Computer Science based in Hisar, Haryana. The company is a pioneer in the Higher Education Student Admission domain with a strong presence across multiple locations in India. Your role will involve conducting expert technical lectures and hands-on sessions at NextGen campuses, supporting in syllabus design and content development, managing the Learning Management System (LMS) content, collaborating on intervention planning and outcome improvement, participating in faculty training sessions, and staying updated with new-age technologies. To qualify for this position, you should hold a B.Tech/M.Tech in Computer Science and Engineering with 2-5 years of experience in academics/training, possessing strong hands-on skills. Immediate joining is required. You will need to demonstrate a strong command over at least two of the following areas: AI/ML, Data Science, Cloud Computing, Cybersecurity, LLMs, or Full Stack Development. Proficiency in tools like Python, Git, Linux, Jupyter, AWS/GCP, and version-controlled content is essential. Excellent communication, presentation skills, and prior experience with LMS platforms will be advantageous. Passion for teaching and mentoring students in next-gen technologies is a key attribute. This is a full-time position with a day shift schedule. You must be willing to commute/relocate to Hisar, Haryana before starting work. The company requires you to have 2 years of experience in training & development, fluency in English, and a willingness to travel up to 50% of the time. If you meet these qualifications and are enthusiastic about contributing to the education sector, we encourage you to apply for this rewarding opportunity at Creanovation Technologies Pvt. Ltd.,

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we&aposve set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you&aposll make a valuable - and valued - contribution. We&aposre a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Our mission is to deliver a best-in-class user experience for internal and external advertising products that delights users and simplifies their tasks. Ads Customer Interfaces team develops full-stack web applications, and end-to-end revenue operations business tooling to provide a unified interface Roku&aposs suite of advertising products. About the Role We are looking for seasoned AI Engineer to join our team for building intelligent, autonomous systems that unlock scale, productivity, and innovation across the business. We focus on building agentic AI capabilities, where smart agents can reason, plan, and act on behalf of users and teams integrated seamlessly into business workflows. With a strong foundation in backend engineering and middleware architecture, our team sits at the intersection of cutting-edge enterprise-scale software systems. We enable agents to interface with critical systems like CRMs, order management tools, financial platforms, and internal APIs, ensuring secure, resilient, and explainable automation. What you will be doing Build intelligent agents that plan, reason, and take actions using LLMs (GPT, Gemini, Claude, LLaMA, etc.) Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration Translate business requirements into autonomous workflows and smart features that generate business value Apply advanced prompt engineering, tool use, and function-calling strategies to drive agent behavior Design and implement robust middleware that connects APIs, AI models, databases, and services in scalable ways Architect service-oriented and event-driven systems that enable real-time decision-making by agents Build secure, resilient integration layers that facilitate communication between business systems (CRM, ERP, OMS, etc.) Ensure observability, monitoring, and governance of agent operations and system interactions Partner with product managers, data engineers, and backend teams to align system capabilities with business goals Lead architectural discussions and make trade-off decisions regarding scalability, modularity, and performance Mentor engineers and contribute to architectural standards and AI enablement framework. We&aposre excited if you have Bachelors or Masters degree in Computer Science, Computer Engineering, Machine Learning, or a related field, with 8+ years of overall industry experience. Strong computer science fundamentals; able to design and implement efficient algorithms with ease 2+ years of hands-on experience with agentic AI and/or LLM-based agent frameworks Proven experience designing and building middleware platforms, REST APIs, and distributed systems at scale Advanced proficiency in Python and/or Java, with deep familiarity with AI/ML libraries (PyTorch, Transformers, LangChain, etc.) Solid understanding of microservices architecture, message queues (Kafka, Pub/Sub etc), and cloud-native development (AWS/GCP) Experience working with vector databases and retrieval-augmented generation (RAG) pipelines Demonstrated success building and deploying agentic AI use cases in production, such as sales automation, operations agents, or analytics bots. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It&aposs important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company&aposs success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We&aposre independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you&aposll be part of a company that&aposs changing how the world watches TV.? We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn&apost real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.? To learn more about Roku, our global footprint, and how we&aposve grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms. Show more Show less

Python developers with good programming experience Knowledge of Django would be good to have Knowledge of FastAPI will be good to have Any hands on experience with GenAI and LLMs will be highly preferred Skills: python,llms,fastapi,genai,django Show more Show less

About The Role Masai, in academic collaboration with a premier institute, is seeking a Teaching Assistant (TA) for its New Age Software Engineering program. This advanced 90-hour course equips learners with Generative AI foundations, production-grade AI engineering, serverless deployments, agentic workflows, and vision-enabled AI applications. The TA will play a key role in mentoring learners, resolving queries, sharing real-world practices, and guiding hands-on AI engineering projects. This role is perfect for professionals who want to contribute to next-generation AI-driven software engineering education while keeping their technical skills sharp. Key Responsibilities (KRAs) Doubt-Solving Sessions Conduct or moderate weekly sessions to clarify concepts across: Generative AI & Prompt Engineering AI Lifecycle Management & Observability Serverless & Edge AI Deployments Agentic Workflows and Vision-Language Models (VLMs) Share industry insights and practical examples to reinforce learning. Q&A and Discussion Forum Support Respond to student questions through forums, chat, or email with detailed explanations and actionable solutions. Facilitate peer-to-peer discussions on emerging tools, frameworks, and best practices in AI engineering. Research & Project Support Assist learners in capstone project design and integration, including vector databases, agent orchestration, and performance tuning. Collaborate with the academic team to research emerging AI frameworks like LangGraph, CrewAI, Hugging Face models, and WebGPU deployments. Learner Engagement Drive engagement via assignment feedback, interactive problem-solving, and personalized nudges to keep learners motivated. Encourage learners to adopt best practices for responsible and scalable AI engineering. Content Feedback Loop Collect learner feedback and recommend updates to curriculum modules for continuous course improvement. Candidate Requirements 2+ years of experience in Software Engineering, AI Engineering, or Full-Stack Development. Strong knowledge of Python/Node.js, cloud platforms (AWS Lambda, Vercel, Cloudflare Workers), and modern AI tools. Hands-on experience with LLMs, Vector Databases (Pinecone, Weaviate), Agentic Frameworks (LangGraph, ReAct), and AI observability tools. Understanding of AI deployment, prompt engineering, model fine-tuning, and RAG pipelines. Excellent communication and problem-solving skills; mentoring experience is a plus. Familiarity with online learning platforms or LMS tools is advantageous. Engagement Details Time Commitment: 6 to 8 hours per week Location: Remote (online) Compensation: ?8,000 to ?10,000 per month Why Join Us Benefits and Perks Contribute to a cutting-edge AI & software engineering program with a leading ed-tech platform. Mentor learners on next-generation AI applications and engineering best practices. Engage in flexible remote working while influencing future technological innovations. Access to continuous professional development and faculty enrichment programs. Network with industry experts and professionals in the AI and software engineering domain. Skills: edge,llms,rag pipelines,communication,online,aws lambda,databases,cloudflare workers,ai observability tools,vercel,prompt,learning,model fine-tuning,vector databases,prompt engineering,software,new age,agentic frameworks,mentoring,problem-solving,python,models,learners,node.js Show more Show less

Job Title: Project Manger - GenAI Team Department : Artificial Intelligience / Generative AI Location Bangalore / Noida About the Company & Role : We are one of Indias premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. As a part of the Analytics & Engineering Team , you will have a great chance to build tools and pipelines from early days by reinventing the concept of using data for the greater good. About the Role : We are seeking a Project Manager to lead our Generative AI (GenAI) initiatives in political consulting, managing AI-driven projects across political research, survey analytics, digital communications, and campaign intelligence. This role will oversee the end-to-end lifecycle of AI tools designed for predictive polling, voter sentiment analysis, and digital campaign optimization ensuring delivery aligned with electoral timelines and campaign objectives. Key Responsibilities Political AI Project Management ? Define and execute project plans for GenAI-driven political research and communication tools. ? Lead AI initiatives in survey automation, trend projection, sentiment analysis, and booth-level voter modeling. ? Integrate AI insights with research data (quantitative & qualitative) and digital outreach strategies. Digital Communications Integration ? Oversee AI applications in social media monitoring, digital content generation, and audience targeting. ? Ensure insights from GenAI tools inform digital narratives, influencer strategies, and online reputation management. ? Collaborate with the digital team to optimize campaign outreach via predictive content recommendations. Cross-Functional Coordination ? Coordinate across Data Science, Engineering, Political Intelligence (PI), Quant, and Digital teams for seamless execution. ? Facilitate weekly sprint reviews with department POCs to track milestones and dependencies. ? Ensure GenAI outputs align with both strategic research objectives and digital campaign timelines. Quality & Risk Management ? Validate AI insights for accuracy, ethical compliance, and electoral sensitivity. ? Ensure data privacy and compliance with election commission regulations. Innovation & Strategic Impact ? Explore emerging GenAI frameworks (OpenAI, Gemini, Anthropic) for political communication and research applications. ? Automate manual workflows in surveys and digital outreach for improved operational efficiency. Required Sills & Qualifications Education ? Bachelors degree in Data Science, Computer Science, or related disciplines. ? MBA (preferred), especially with specialization in Strategy, Analytics, or Communications. ? PMP/Agile/Scrum certification is preferred. Experience ? 3-5 years in project management; 12 years in AI/ML projects preferred . ? Experience managing projects involving electoral research, voter data, and digital communications. Technical Skills ? Knowledge of LLMs and GenAI workflows for both research and communications. ? Proficiency in PM tools (Jira, Asana, Trello) and data visualization platforms (Tableau, Power BI). Show more Show less

We are searching for an experienced and innovative Artificial Intelligence (AI) Tech Lead to join our dynamic team. What You Do As an AI Tech Lead, you will help design, build, and optimize AI-first systems and solutions that advance our digital capabilities and create real value for our clients. Provide technical leadership and mentorship to a multidisciplinary AI team. Collaborate with stakeholders to identify business opportunities and AI use cases. Translate abstract business problems into concrete, innovative AI solutions. Drive code quality, robust architecture, and documentation within technical teams. Facilitate knowledge sharing, peer reviews, and upskilling within the AI team. You will collaborate with cross-functional teams. Work on Valtechs various AI Accelerators What We Ask 3+ years of hands-on experience in AI engineering and 10+ years of overall work experience. Proficiency with programming languages such as Python. Knowledge of software engineering best practices including source control, CI/CD, and automated testing. Familiarity with cloud technologies and managed AI services such as Azure Machine Learning, AWS SageMaker, or Google AI Platform. Understanding of responsible AI, data privacy, and ethical AI development. Understanding of AI Concepts like LLMs, RAG, AgenticAI, MCPs. Stay updated with the latest AI research and technologies. Prior involvement in MLOps, model deployment, monitoring, and automation of AI workflows. Strong critical thinking, communication, and teamwork skills, with a willingness to share ideas and collaborate. Zeal to learn & Excel. What We Offer Joining the Valtech global team puts you in the ranks of a pioneering digital innovator worldwide. We focus on delivering quality services to clients, fostering the growth and development of our workforce. As an integral member of the team, you will have the opportunity to pave your career path while significantly contributing to our business success. At Valtech, were here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what were doing to create a Valtech for everyone here. Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. Wed love to hear from you and see if youre our next member of the Valtech team! Show more Show less

Menlo Security&aposs mission is enabling the world to connect, communicate and collaborate securely without compromise. COVID-19 has made our mission all the more real. We support customers across various enterprises including Fortune 500 companies, 9/10 of the largest global banks and the Department of Defense. The world has fundamentally changed. We are growing from 400 employees into the next phase of our journey, and we need passionate talent filled with empathy and agility. The right candidate for the job is ethical, hyper-organized, fanatical about seeing things through to completion, service-oriented, and humble enough to take feedback and coaching yet confident enough to provide feedback and coaching. Menlo is well-funded for growth and our investors are second to none. They include Vista Equity Partners (Vista), General Catalyst, JPMC, American Express, HSBC, and Ericsson Ventures. About Menlo Security Menlo Security protects organizations from cyber threats by isolating all web and email traffic in the cloud, eliminating malware before it reaches users. Our Isolation Core platform secures some of the worlds largest enterprises without compromising performance. Join us to help build the future of threat prevention at scale. Your Impact As a Staff Security Researcher at Menlo Security, you will drive the future of web threat protection by researching real-world web-based attacks and applying your insights to enhance Menlos browser isolation platform. You will also lead the transformation of security research workflows using AI and agentic automation , allowing our team to operate at a radically faster and more scalable pace. Our Expectations Proactively track and research emerging online threats across the web, dark web, and attacker infrastructure to identify trends and patterns. Build AI-driven and agentic workflows to automate repetitive research tasks such as threat hunting, IOC extraction, artifact enrichment, and pattern recognition Conduct an in-depth research the telemetry for patterns to build or enhance the existing products Develop advanced detection and prevention logic embedded in our browser isolation engine and threat analysis backend pipelines Lead design and development of data pipelines and infrastructure for collecting, analyzing, and classifying high-volume web traffic Partner closely with engineering, product, and threat intelligence teams to ship research-powered features into production Represent Menlo Security at industry conferences and in public research disclosures Your Experience Passionate researcher with a track record of finding, analyzing, and mitigating complex web threats Strong background in browser internals, web application security and detection of real-time threats (e.g., phishing, malicious redirects, credential harvesting, exploit kits) Experience analyzing web-based malware, evasive scripts, obfuscation techniques, and malicious browser extensions Familiarity with DOM analysis, browser automation, browser exploits and passive/active crawling techniques Experience in malware traffic analysis, signature writing, and working with indicators of compromise (IOCs) Strong programming skills in Python and automation desired. Knowledge of LLMs, Agentic AI workflow automation is a plus. Prior experience integrating research outputs into a production system is highly desirable Prior experience of writing research blogs and presenting in conferences is desirable Qualifications MS or PhD in Computer Science, Security, or related field (or equivalent industry experience) Minimum 7+ years in a security research or applied security engineering role Excellent written and verbal communication skills; ability to clearly articulate research findings and product impact Why Menlo Our culture is collaborative, inclusive, and fun! We have five core values: Stay Aligned, Get It Done, Customer Empathy, Think Creatively and Help Each Other Out. We believe in open communication, supporting new ideas, and sharing a mutual mindset of what were aiming to achieve together. There are tremendous opportunities to take initiative, implement new ideas, and have a hand in building a legacy. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability . TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Securitys policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid. Show more Show less

Senior Software Engineer - AI Backend As Relyance AIs Senior Software Engineer, AI Backend , you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. This role could be a fit for you if you bring: 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data Expert level proficiency in Python Strong data structures, algorithms, and OO software design and implementation skills Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems A get stuff done attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers Bonus points for: Experience with ML and NLP in particular Experience with a privacy technology Startup Experience An advanced technical degree Show more Show less

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. Were building a new Applied AI team within Autodesks Data and Process Management (DPM) group. As a Founding Principal Engineer, youll 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. Youll 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 moreand 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 youve ever explained RAG to a non-technical friendand they got it 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 its 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 youre 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 Autodesks competitive compensation package. Offers are based on the candidates 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: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site). Show more Show less

As a Senior Data Scientist, you will leverage your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to drive business impact. Your primary responsibilities will include analyzing structured and unstructured data to uncover valuable insights, proposing AI/ML use cases aligned with business goals, and developing and deploying machine learning models for various purposes like classification, regression, and clustering. You will work collaboratively with cross-functional teams, including data engineers, product managers, and business stakeholders, to deliver end-to-end intelligent solutions. Utilizing tools like LLMs and GenAI, you will prototype and integrate innovative solutions such as chatbots, summarization, and content generation. It will be crucial to ensure the quality of data, interpretability of models, and adherence to ethical AI practices throughout the process. To be successful in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field, along with 3-4 years of practical experience in data science and machine learning. Proficiency in Python and ML libraries is essential, as well as hands-on experience in data wrangling, feature engineering, and model evaluation. Additionally, familiarity with LLMs and GenAI tools like Hugging Face, LangChain, and OpenAI APIs, as well as experience with cloud platforms (AWS, GCP, or Azure) and version control systems like Git, will be advantageous. Strong communication skills and a data-driven mindset are also key attributes required for this role.,

As a Principal Engineer at our company, you will play a crucial role in leading the architecture and execution of our GenAI-powered, self-serve marketing platforms. Working directly with the CEO, you will have the opportunity to shape, build, and scale products that revolutionize how marketers interact with data and AI. This is not just a sandbox innovation lab but a real-world product with traction, velocity, and high impact. Your responsibilities will include co-owning the product architecture and direction alongside the CEO, building GenAI-native, full-stack platforms from MVP to scale using LLMs, agents, and predictive AI. You will be expected to own the full stack, including React for frontend, Node.js/Python for backend, GCP for infrastructure, BigQuery for data, and vector databases for AI. Leading a lean, high-caliber team, you will need to adopt a hands-on, unblock-and-coach mindset to drive rapid iteration with rigor, balancing short-term delivery with long-term resilience. To excel in this role, you should bring 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 (Functions, BigQuery, Cloud SQL, Airflow, etc.) is essential. Hands-on experience with GenAI tools like LangChain, OpenAI APIs, and LlamaIndex is considered a bonus. A proven track record of shipping products from ambiguity to impact, architecting and building scalable microservices and APIs, driving adoption of engineering best practices, and collaborating closely with cross-functional teams are key attributes we are looking for. Additionally, you will be responsible for mentoring and guiding junior and mid-level engineers, proactively identifying tech debt and proposing scalable solutions, ensuring strong engineering processes through Agile practices, CI/CD pipelines, and DevOps automation, staying updated with emerging technology trends, and contributing to hiring and talent development efforts within the engineering team. If you are a dynamic individual with a passion for innovation, a strong technical background, and a desire to make a significant impact in the field of marketing technology, we encourage you to apply for this exciting opportunity.,

Amity University Uttar Pradesh, Noida is inviting applications for the position of Consultant (Scientific Technical) at Amity Centre for Artificial Intelligence (ACAI). The Consultant (Scientific Technical) position is for a project titled "Personalized Recommender System for Virus Research and Diagnosis Laboratory Network: Advancing Diagnostic Decision-Making through Artificial Intelligence," funded by ICMR. The duration of this position is 2 years, with a monthly salary of Rs. 1 Lakh. Candidates applying for this position should possess essential qualifications of B.Tech / M.Tech / Ph.D. and experience in Deep Learning Models, LLMs, and Transformers. Desirable qualifications include 2-3 years of research experience in Artificial Intelligence focusing on Deep Learning and Transformers, as well as publications in Peer-Reviewed Journals (SCI/Scopus indexed). Interested candidates who meet the above qualifications are requested to submit their detailed CV within 15 days of this advertisement via email to ai@amity.edu and cc to sushils@amity.edu. Please mention "Application for Consultant (Scientific Technical/Non-Medical) - Amity Centre for Artificial Intelligence" in the subject line. Please note that no TA/DA will be provided to candidates for attending the interview.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As an Azure AI Engineer at Optimum Data Analytics, you will be a key member of our team in Pune, contributing to the design and deployment of cutting-edge AI/ML solutions using Azure cloud services. You should have a minimum of 5 years of hands-on experience in the field and hold either the Microsoft Azure AI Engineer Associate or Microsoft Azure Data Scientist Associate certification. Your role will involve collaborating with business stakeholders, data engineers, and product teams to deliver scalable and production-ready AI solutions that drive business value and growth. Key Responsibilities - Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services. - Implement and manage data pipelines for model training workflows and ML lifecycle within the Azure ecosystem. - Work closely with business stakeholders to gather requirements, analyze data, and provide predictive insights. - Collaborate with data engineers and product teams to ensure the delivery of scalable and production-ready AI solutions. - Establish and maintain best practices for model monitoring, versioning, governance, and responsible AI practices. - Contribute to solution documentation and technical architecture. - Design AI agents using Azure stack tools such as Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, and LangGraph. Required Skills & Qualifications - Minimum of 5 years of hands-on experience in AI/ML, data science, or machine learning engineering. - Mandatory Certification: Microsoft Azure AI Engineer Associate OR Microsoft Azure Data Scientist Associate. - Strong knowledge of Azure services including Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage. - Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. - Solid understanding of data science lifecycle, model evaluation, and performance optimization. - Experience with version control tools like Git and deployment through CI/CD pipelines. - Excellent problem-solving and communication skills. - Strong experience in building AI Agents. - Familiarity with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases, etc.). Good To Have - Experience with Power BI or other data visualization tools. - Exposure to MLOps tools and practices. If you are passionate about leveraging AI/ML to drive business transformation and meet organizational objectives, we encourage you to apply for this position and be part of our dynamic team at Optimum Data Analytics.,

As a Full Stack Lead at our Gurugram location with 7-11 years of experience, you will play a crucial role in leading and managing a team of developers to ensure alignment with project goals and timelines. Your responsibilities will include designing and implementing scalable and maintainable software systems, overseeing high-quality software development practices, and working closely with cross-functional teams to integrate AI models into the product. Taking ownership of system architecture and design decisions, you will also be involved in the development of AI models and their deployment, while ensuring proper version control and CI/CD processes are followed. Your expertise will be crucial in assisting with problem-solving, technical challenges, and staying updated with emerging technologies and AI trends. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Engineering, or a related field, along with 6+ years of software development experience, including at least 2 years in a leadership position. Your strong expertise in programming languages such as Python, Java, or similar, coupled with in-depth experience in AI/ML development and working with LLMs, will be essential. Additionally, your experience in system design, architecture, development practices, software development best practices, agile methodologies, and cloud platforms (AWS, Azure, GCP) will be highly valued. Join us in this exciting opportunity to lead a team, drive innovation, and contribute to cutting-edge projects in the field of software development and AI integration.,

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who&aposve worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities Join us! We&aposll love to explore more about you if you have B.E/B.Tech/M.E/M.Tech/PhD from Tier 1 engineering institutes only with relevant work experience with a top technology company in computer science or mathematics-related fields. 3+ years of experience in AI/ML Strong coding skills in Python and familiarity with libraries like LangChain or Transformers Interest in LLMs, agents, and the evolving open-source AI ecosystem Eagerness to learn, experiment, and grow in a fast-paced environment. Your role at Level AI includes but is not limited to Assist in building LLM-powered agents for internal tools and customer-facing products Support prompt engineering, retrieval-augmented generation (RAG), and tool integrations Collaborate on experiments with open-source and commercial LLMs (e.g., GPT, Claude, Mistral) Help implement and evaluate reasoning, planning, and memory modules for agents Work closely with senior engineers to deploy and monitor AI features in production Bonus Points Experience with open-source LLMs (LLaMA, Mistral, etc.) Basic understanding of vector search, RAG, and prompt engineering concepts Contributions to AI side projects or GitHub repos Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone) To Apply- https://jobs.lever.co/levelai/cc04ab77-6ee3-4078-9cfd-110cda0b1438 To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Show more Show less

???? We&aposre Hiring: Artificial Intelligence Consultant! ???? We&aposre seeking a highly motivated and technically adept Artificial Intelligence Consultant to join our growing Artificial Intelligence and Business Transformation practice. This role is ideal for a strategic thinker with a strong blend of leadership, business consulting acumen, and technical expertise in Python, LLMs, Retrieval-Augmented Generation (RAG), and agentic systems. Experience Required: Minimum 6+ Years Location: Remote/ Work From Home Job Type: Contract to hire (1 Year /Renewable Contract) Notice Period: Immediate to 15 Days Max Mode of Interview: Virtual Roles And Responsibilities AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives. Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact. Thought Leadership: Conduct market research, stay updated with the latest in GenAI and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings. Essential Skills Education : Bachelor&aposs or Masters in Computer Science, AI, Engineering, or related field. Experience : Minimum 6 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments. Preferred Skills Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP including compute instances, storage, managed services, and serverless/cloud-native deployment models. Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication. Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. Show more Show less

Position : Founding Engineer (Full Stack & AI) Location : BHIVE Premium Koramangala, Bangalore Role : Full time, On-site. Job Description Were looking for a Founding Full-stack Engineer with strong expertise in Backend and AI to join our lean team at OutFlo . We are an early stage SaaS startup building an AI-native sales outreach platform for business teams in the US. About Us: OutFlo.io helps GTM teams scale LinkedIn outreach across multiple accounts on autopilot - so they can book more qualified meetings, consistently. Weve seen strong early adoption from paying customers in US, UK, Germany and India - these include SaaS startups, lead gen agencies, recruitment firms - and we have a long global waitlist. OutFlo is founded by Tushar Singla, an IIT Kharagur alum who led $0-1Mn founding sales at a Sequoia funded AI startup, previously built products at Cisco, did high-impact AI research at NUS Singapore, and won national startup competitions during college. Were backed & mentored by top SaaS founders whove scaled companies to Rs.600 Cr+ ARR, exited in multi-million dollar deals, and are closely guided by exceptional tech mentors from IITs whove been founding engineers at leading AI startups. Youll be part of a small team where you will lead the early development of our platform and will be expected to have complete ownership of the product delivery. You will work closely with the founder and customers to shape product direction This will NOT be a cushy role. Key Responsibilities : Lead the overall design architecture, development, testing, and deployment of scalable solutions across both frontend and backend Drive the implementation of best practices for software development, including code reviews, A/B testing etc. Build AI-native product experiences using LLMs, Agents, RAG, vector DBs, and latest AI models. Collaborate with business team to understand product requirements and deliver high-quality solutions Move fast, experiment, and solve complex technical problems that directly address customer requirements. Youll be expected to ship code yourself while managing a 2-3 person engg team and play a key role in building a strong tech team going forward. Requirements: Bachelor&aposs degree in Computer Science, Engineering, or a related field Strong problem-solving skills with a passion for innovation and a growth mindset to thrive in a fast-paced startup environment. Hands-on experience in developing & deploying applications using Typescript, Node JS, Postgres, Express, React, Selenium, Redis, RabbitMq, AWS (EC2, Lambda, S3), and 3rd party APIs. Strong understanding of backend architecture - microservices, scheduling, load balancing, proxies, monitoring, advanced DB queries, network requests and scaling. Exp. in designing scalable systems; reverse-engineering is a plus. Experience building AI-native products using LLMs, agentic frameworks, and a strong adopter of tools like Cursor, Lovable etc. to drive efficiency while maintaining quality. Prior experience of 2+ years working in similar roles at startups building end-to-end products from scratch. Why join us Front-row seat at a fast-growing AI SaaS company transforming sales outreach. High-impact role with significant ownership and autonomy from day one - with 10x+ growth potential. Work with a lean and ambitious team solving real-world problems. Competitive salary, meaningful equity stake and startup perks. Youll shape the product and the team - as our founding engineer you get to build and lead the tech team. Show more Show less

Responsibilities Design and fine-tune LLMs (Large Language Models) for BFSI use-cases: intelligent document processing, report generation, chatbots, advisory tools. Evaluate and apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning methods. Implement safeguards, red-teaming, and audit mechanisms for LLM usage in BFSI. Work with data privacy, legal, and compliance teams to align GenAI outputs with industry regulations. Collaborate with enterprise architects to integrate GenAI into existing digital platforms. Qualifications 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. BFSI-specific experience in document processing, regulatory reporting, or virtual agents using GenAI is highly preferred. Exposure to prompt safety, model alignment, and RAG pipelines is critical. Essential Skills Tech Stack LLMs: GPT (OpenAI), Claude, LLaMA, Mistral, Falcon Tools: LangChain, LlamaIndex, Pinecone, Weaviate Frameworks: Transformers (Hugging Face), PEFT, DeepSpeed APIs: OpenAI, Cohere, Anthropic, Azure OpenAI Cloud: GCP GenAI Studio, GCP Vertex AI Others: Prompt engineering, RAG, vector databases, role-based guardrails Experience 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. Show more Show less

We are looking for highly motivated and innovative Research Scientists to join our team in Bengaluru, focusing on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs). You will engage in cutting-edge research on Gemini, specifically in the multilingual, multicultural, and multimodal domain (speech, vision, and text), with a direct impact on billions of users through Google products. This role presents a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on the unique challenges in the Asia-Pacific (APAC) region. You will collaborate with a world-class team at Google DeepMind worldwide. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply. Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we are a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We utilize our technologies for widespread public benefit and scientific discovery, collaborating with others on critical challenges while ensuring safety and ethics are our highest priorities. This position is based in the Languages group at Google DeepMind India, which works on all aspects of LLM development, including pretraining, posttraining, evaluations, etc. The group has made impactful contributions to enhance Gemini's multilingual performance and various Google products such as Gemini App, Assistant, Search, etc. Additionally, foundational contributions have been made to Google Translate's largest expansion of 110 languages representing over 600 million speakers. Key responsibilities as a Research Scientist at Google DeepMind include developing and evaluating multilingual, multicultural, and multimodal LLMs, collaborating with a world-class team, contributing to real-world impact, and participating in the research community by sharing insights and engaging in external academic workshops and conferences. We are seeking a passionate and talented researcher with a strong foundation and proven ability to conduct impactful research in AI. You should embrace change, thrive under ambiguity, have a collaborative mindset, and be excited to work as part of a team to tackle ambitious research challenges. You should be eager to see your research contribute to real-world applications and driven by a desire to create positive change through AI. A Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field, a strong publication record in top-tier AI conferences or journals, solid understanding of deep learning, natural language processing, computer vision, and/or speech processing, experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, and excellent communication and collaboration skills are required. Experience with multilingual, multicultural, and/or multimodal learning in LLMs, pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations, familiarity with large-scale model training and deployment, and strong programming skills in Python or similar languages would be advantageous.,

You are a Senior or Staff AI Scientist responsible for leading the development of domain-specific business ontologies and knowledge engineering infrastructure. Your expertise will be utilized to leverage cutting-edge LLMs, GenAI, and symbolic reasoning to establish an ontology layer, which will serve as the cornerstone of the data platform. This initiative aims to facilitate intelligent data harmonization, enrichment, and decision automation at a large scale. Your key responsibilities will involve spearheading the research and development of ontology learning systems by leveraging state-of-the-art LLMs, structured data mining, and semantic reasoning techniques. You will be tasked with constructing and expanding domain-specific knowledge graphs that seamlessly integrate both external and internal data sources. Additionally, you will drive innovation in semi-automated ontology construction, concept disambiguation, and alignment using GenAI, contrastive learning, and knowledge distillation methodologies. Collaboration across departments is crucial in embedding ontology-driven intelligence into various pipelines, applications, and decision systems. You will work closely with data platform engineers, AI scientists, and product teams to ensure seamless integration and implementation of these intelligent systems. Furthermore, you will be responsible for defining core metrics to evaluate the quality of ontologies, knowledge coverage, and subsequent performance enhancements such as data harmonization and semantic search capabilities. Your role will also involve collaborating with ML infrastructure teams to optimize representation formats (RDF, Knowledge graphs, etc.) and enable scalable, low-latency retrieval and reasoning processes. To qualify for this position, you should hold a PhD or Masters degree in Computer Science, AI, Data Science, or a related field with a focus on knowledge representation, natural language understanding, or data systems. Moreover, you should possess a minimum of 8 years of experience in applied AI or ML research with a specific focus on ontologies, knowledge engineering, entity resolution, or semantic systems. Your expertise should extend to working with LLMs (e.g., GPT, LLaMA, PaLM, Claude) for knowledge extraction, generation, or few-shot learning. A strong background in data engineering, including schema mapping, metadata, master data management, or data pipelines at scale, is also essential. You are expected to have a deep understanding of semantic data models such as ontologies and hands-on experience with relevant libraries or frameworks. Proficiency in programming languages like Python, as well as frameworks like PyTorch or TensorFlow, and graph technologies such as Neo4j, RDFLib, SPARQL, etc., will be beneficial in fulfilling the requirements of this role.,