2025 Reinforcement Jobs - Page 4

Job Title: Special Educator Branch Name: Karuna Thanal Kuttiadi Qualification: B.Ed/D.Ed in Special Education Experience : Experienced/Fresher Location: Kuttiadi Candidate Preference : Male Employment Type: Full time Department: School/CDC/EIC Requirements Individualized Education Planning (IEP) Ability to develop and implement tailored educational plans based on each child’s unique needs. Behavior Management Skilled in handling behavioral challenges using positive reinforcement and structured techniques. Instructional Adaptation Modify curriculum and teaching methods to suit learning abilities of children with disabilities. Classroom Management Create a safe, inclusive, and structured environment conducive to learning. Communication Skills Effectively communicate with children, parents, therapists, and other educators. Assessment & Evaluation Conduct assessments to monitor academic, behavioral, and social progress. Empathy and Patience Work sensitively with children with intellectual, developmental, or learning disabilities. Collaboration Work closely with therapists, counselors, school staff, and families for holistic support. Documentation & Reporting Maintain detailed records of progress, interventions, and parent interactions. Knowledge of Disabilities Understanding of various disabilities like autism, ADHD, Down syndrome, and learning disorders.

About Us Black Coffee Robotics builds specialized software for robots across all aspects of autonomy. We’ve helped companies deploy large-scale robotic systems—from warehouse robots and floor cleaners to lawn mowers, assistive arms, and autonomous boats. We also provide expert consulting in simulation, motion planning, and ROS/ROS2 development. We’re a small, fast-moving team passionate about shipping real-world robotics solutions with high technical rigor. Role & Responsibilities As a Robotics Intern , you'll contribute to developing and testing components for real-world robotic systems and simulations. You’ll work hands-on with: ROS2, Gazebo, Isaac Sim, Unity SLAM, Controls, Reinforcement Learning Simulation environments and robotics frameworks You’ll be mentored by experienced engineers, and work in a collaborative, remote-first setup. This role is remote (India-based) and may lead to a full-time opportunity based on performance. What We’re Looking For We’re seeking motivated builders with: Strong problem-solving and communication skills Experience with robotics hardware/software (sensors, actuators, controllers) Proficiency in C++ and/or Python Familiarity with ROS/ROS2 Exposure to Gazebo, Isaac Sim, or Unity (bonus) Self-driven, reliable, and comfortable working remotely Fresh graduates, and students pursuing a BTech, MTech, or PhD with a strong robotics background are welcome to apply Perks Work alongside passionate engineers solving real robotics problems Gain deep exposure to robotics software best practices Deploy systems to live fleets across the globe Get involved in open-source contributions Flexible hours and fully remote Competitive stipend Team offsites to exotic locations Opportunity to attend national and international robotics conferences If you're excited about robotics and want to build the future with us— apply now .

Job Summary: This is a critical technical architectural role for an experienced leader who will be instrumental in enhancing our product suite by designing and integrating advanced AI and blockchain capabilities into our existing Java Spring Boot microservice-based payment platform. The ideal candidate will possess a deep, hands-on understanding of all major payment rails, a proven track record in architecting and implementing complex, high-performance financial systems, and an expert-level grasp of AI/Machine Learning and blockchain technologies and their practical applications in FinTech. This individual will be a key driver in shaping the future of our products, ensuring we remain competitive, secure, and innovative in the rapidly evolving payments landscape. Key Responsibilities: AI/Machine Learning Design & Implementation: Lead the design, development, and deployment of sophisticated AI/ML models for critical FinTech applications, including: Implementing real-time, adaptive machine learning models for advanced fraud detection and prevention across diverse payment channels. Utilizing AI for intelligent payment orchestration and routing, optimizing for success rates, cost efficiency, and performance. Developing AI-driven predictive analytics for comprehensive risk management and anomaly detection. Exploring and integrating AI solutions for enhanced customer experience and operational efficiency. Blockchain Solution Architecture: Architect, design, and oversee the implementation of secure, scalable, and high-performance blockchain solutions that enhance existing payment functionalities and enable new services (e.g., cross-border payments, digital asset management, secure data sharing, tokenization). Payment Rail Mastery: Serve as the foremost subject matter expert on all major payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, faster payments, card networks, emerging digital currencies), understanding their technical intricacies and ensuring seamless, optimized integration within our microservices platform. ISO 20022 & Regulatory Alignment: Collaborate closely with the ISO 20022 middleware team to ensure that all AI and blockchain integrations adhere to evolving ISO MTMX SWIFT mandates and other critical regulatory requirements (e.g., AML, KYC, GDPR). Technical Leadership & Mentorship: Provide strong technical leadership, architectural guidance, and mentorship to development teams, fostering a culture of innovation, technical excellence, and continuous learning in AI, blockchain, and payment technologies. System Design & Optimization: Lead the architectural design and detailed technical specifications for new features and product enhancements within our microservices architecture, with a relentless focus on scalability, security, reliability, performance, and the explainability of AI models. Research & Development: Spearhead research and development initiatives, including hands-on proof-of-concept projects, to explore nascent AI and blockchain technologies and assess their practical applicability to our product roadmap. Data Strategy & Governance: Partner with data engineering and analytics teams to ensure robust data quality, availability, and governance, crucial for effective AI model training, deployment, and ongoing performance, leveraging our diverse data stores. Cross-Functional Collaboration: Work collaboratively with product management, business development, and other engineering teams to translate complex business requirements into elegant, high-impact technical solutions. Industry Vigilance: Continuously monitor industry trends, technological advancements, and regulatory changes across payments, AI, and blockchain. Required Skills and Qualifications: 10+ years of progressive experience in software engineering, solution architecture, or technical leadership roles within the FinTech or payments industry. Deep and demonstrable understanding of various payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, credit/debit card networks, real-time payments, cross-border payments, ISO 20022) and their underlying technical specifications. Expert-level knowledge and extensive hands-on experience with AI/Machine Learning concepts and frameworks, including: Practical application of machine learning algorithms (supervised, unsupervised, reinforcement learning). Proficiency in Deep Learning and Neural Networks. Experience with Natural Language Processing (NLP) for financial message analysis. Strong familiarity with leading AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Demonstrated experience with MLOps principles and deploying AI models into production environments at scale. Expert-level knowledge and hands-on experience with blockchain technologies and Distributed Ledger Technologies (DLT), including: Practical experience with platforms suchs as Hyperledger Fabric, Corda, Ethereum, or similar enterprise-grade DLTs. Proficiency in smart contract development (e.g., Solidity, Go, Java, Rust). Deep understanding of consensus mechanisms, cryptographic principles, and blockchain security best practices. Familiarity with tokenomics, digital assets, and central bank digital currencies (CBDCs). Proven architectural design skills for building highly scalable, resilient, secure, and performant distributed systems, specifically within a microservices paradigm. Proficiency in multiple core programming languages critical for FinTech, AI, and Blockchain development, with a strong emphasis on: Java: Extensive experience with Spring Boot for enterprise-grade, high-throughput financial systems and backend microservices. Python: Essential for AI/ML development, data science, and backend microservices. Go (Golang): Highly desirable for high-performance, concurrent systems, and blockchain infrastructure components. Solidity/Rust: For direct smart contract development on relevant blockchain platforms. Additional desirable: C++ for performance-critical components. Extensive experience with modern architectural patterns: microservices architecture, robust APIs (REST, gRPC), and event-driven architectures. Strong expertise with database technologies, specifically MongoDB and PostgreSQL, including schema design, optimization, and scaling strategies for high-volume financial data. Hands-on experience with major cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Exceptional problem-solving, analytical, and critical thinking skills. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or a related quantitative technical field. Preferred Qualifications: Prior experience in a high-growth FinTech startup or a fast-paced, agile development environment. Active contributions to open-source AI or blockchain projects, or participation in relevant FinTech communities. Experience with big data technologies (e.g., Apache Kafka, Spark). Certifications in cloud architecture, AI/ML, or blockchain platforms.

Company Description UrbanAura Structures is a professional engineering consultancy specializing in civil and structural design services for infrastructure and building projects. We deliver end-to-end support for the design, detailing, and documentation of bridges, buildings (RCC and steel), and architectural structures. Utilizing advanced design tools and digital workflows, we provide accurate and coordinated solutions tailored to each project's needs. Our experienced team ensures precision and compliance, serving clients globally from our base in India. Role Description This is a full-time on-site role located in Delhi, India, for a Draughtsman/Modeller. The Draughtsman/Modeller will be responsible for creating detailed 2D drawings and 3D models, drafting construction drawings, conducting structural analysis, and providing accurate quantity estimations. Day-to-day tasks also include collaborating with the engineering team, ensuring project-specific detailing, and utilizing various software tools for BIM and parametric modeling. Qualifications Proficiency in 2D Drafting and 3D Modeling (AutoCAD, SketchUp) knowledge in BIM will be a plus! Ability to create construction drawings, reinforcement detailing. Relevant academic qualifications Strong communication and collaboration skills Experience with architectural visualization and massing concept design is beneficial

As an AI/ML Engineer at Cybernetyx, you'll be at the forefront of developing adaptable and powerful AI agents. You'll work on diverse projects spanning various industries, leveraging your skills to build intelligent systems that can learn, adapt, and solve complex problems. This is your chance to shape the future of AI and contribute to groundbreaking innovations. Responsibilities Design and Develop AI Agents: Create sophisticated AI/ML models that can be applied across multiple industries, from automation and analytics to interactive systems. Data Mastery: Work with diverse datasets, building robust data pipelines and extracting valuable insights that drive AI agent development. Deployment and Scaling: Deploy your models into real-world applications, ensuring they are scalable, efficient, and reliable. Innovation and Exploration: Research and implement cutting-edge AI techniques, exploring new algorithms and methodologies to enhance agent capabilities. Collaborative Development: Work closely with a multidisciplinary team, sharing knowledge and contributing to a culture of innovation. Requirements Minimum of 2-3 years of experience in developing and deploying AI/ML models, and you're ready to tackle complex, cross-industry projects. You are proficient in Python and familiar with key AI/ML libraries. You have experience working with diverse datasets and cloud platforms (AWS, GCP, Azure). You are passionate about building adaptable AI agents that can solve real-world problems across different sectors. You are a problem-solver, a team player, and a lifelong learner. Experience with any of the following is beneficial: Reinforcement Learning, Time Series Analysis, Large Language Models, Generative AI. This job was posted by Himani Garg Nirwani from Cybernetyx.

We are seeking a Data Scientist with a strong background in enterprise-scale machine learning, deep expertise in LLMs and Generative AI, and a clear understanding of the evolving Agentic AI ecosystemThe ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. The Core Responsibilities For The Job Include The Following ML and Predictive Systems Development: Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs And Generative AI Build and fine-tune LLM-based solutions (e. g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects, applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e. g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI And Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures, task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration And Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Requirements Master's or PhD in Computer Science, Data Science, Statistics, or related field. 5-8 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e. g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e. g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices, including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments. This job was posted by Akshay Kumar Arumulla from Softility.

Role Description: As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment. Key Responsibilities: Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems. Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models. Deploy and maintain AI models in production environments, ensuring scalability and reliability. Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed. Document technical designs, experiments, and results for internal and external stakeholders. Qualifications and Experience: Bachelor's degree in Computer Science or a related field from a Tier-1 Institute. 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning. Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with data pre-processing, feature extraction, and model evaluation techniques. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure. Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya . Only applications received through this posting will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya Candidates selected after the Jigya screening rounds will be interviewed by KnowDis

Location: Remote Employment Type: Full-time About the Role We are looking for a Senior Machine Learning Engineer to lead the development and deployment of AI/ML models for our platforms. In this role, you will drive technical strategy and you will be responsible for designing and deploying intelligent systems ,mentor junior engineers, and collaborate with cross-functional teams to deliver scalable, production-grade ML solutions. Key Responsibilities Independently design, build, and deploy machine learning models for core use cases. Drive the end-to-end lifecycle of ML projects—from scoping and architecture to implementation, deployment, and performance tuning. Maintain a hands-on approach in all aspects of development—from data preprocessing and feature engineering to model training, evaluation, and optimization. Lead technical reviews, provide constructive feedback, and help grow the team’s skill sets through coaching and knowledge sharing. Provide technical leadership and mentorship to junior engineers and data scientists, fostering a collaborative and high-performing team culture. Drive ML initiatives from ideation through production, ensuring scalability, performance, and maintainability. Collaborate with cross-functional teams including product, engineering, and operations to integrate intelligent solutions into user-facing products. Establish and promote ML best practices, including reproducibility, version control, testing,MLOps, and data governance. Oversee and guide the creation of scalable and maintainable ML pipelines and infrastructures. Stay ahead of industry trends and guide the adoption of new tools and techniques where relevant. Evaluate and integrate cutting-edge tools, frameworks, and techniques in NLP, deep learning, and computer vision. Own the quality, fairness, and compliance of ML systems, especially in sensitive use cases like content filtering and moderation. Design and implement machine learning models for automated content moderation , including toxicity, hate speech, spam, and NSFW detection. Build and optimize personalized recommendation systems using collaborative filtering, content-based, and hybrid approaches. Develop and maintain embedding-based similarity search for recommending relevant content based on user behavior and content metadata. Fine-tune and apply LLMs for moderation and summarization , leveraging prompt engineering or adapter-based methods. Deploy real-time inference pipelines for immediate content filtering and user-personalized suggestions. Ensure content moderation models are explainable , auditable , and bias-mitigated to align with ethical AI practices. Hands-on experience in content recommendation systems (e.g., collaborative filtering, ranking models, embeddings). Experience with content moderation frameworks , such as Perspective API, OpenAI moderation endpoints, or custom NLP classifiers. Strong knowledge of transformer-based models for NLP , including experience with Hugging Face, BERT, RoBERTa, etc. Practical experience with LLMs (GPT, Claude, Mistral) and tools for LLM fine-tuning or prompt engineering for moderation tasks. Familiarity with vector databases (e.g., FAISS, Pinecone) for similarity search in recommendation systems. Deep understanding of model fairness, debiasing techniques , and AI safety in content moderation . Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of hands-on experience in machine learning, NLP, or deep learning, with a track record of leading projects. Expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc. Strong background in recommendation systems, content moderation, or ranking algorithms. Experience with cloud platforms (AWS/GCP/Azure), distributed computing (Spark), and MLOps tools. Proven ability to lead complex ML projects and teams, delivering business value through intelligent systems. Excellent communication skills, with the ability to explain complex ML concepts to stakeholders. Experience with LLMs (GPT, Claude, Mistral) and fine-tuning for domain-specific tasks. Knowledge of reinforcement learning, graph ML, or multimodal systems. Previous experience building AI systems for content moderation, personalization, or recommendation in a high-scale platform. Strong awareness of ethical AI principles, fairness, bias mitigation, and responsible data usage. Contributions to open-source ML projects or published research.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages. Our award-winning websites, cutting-edge marketing solutions, and AI-powered mobile platform empower real estate professionals to grow their business, operate more efficiently, and deliver exceptional service to their clients. Trusted by over 80,000 real estate professionals, including 31 of the nation’s 100 top-performing agents as published in the Wall Street Journal, Luxury Presence continues to set the standard for innovation and excellence in real estate technology. About The Role We’re seeking a Senior ML-focused Data Platform Engineer to strengthen our MLS data platform team. You will build robust data pipelines and deliver advanced ML solutions—embeddings, fine-tuning, retrieval-augmented generation (RAG), and reinforcement learning from user feedback. Your work powers property discovery, personalized recommendations, conversational agents, and the evaluation infrastructure that keeps them improving. Who is the Data Squad? We make sure clean, reliable MLS listing records and user click-stream data is always available to our products and customers. Our team—a mix of data engineers and software engineers—owns the entire listing pipeline: ingestion, transformation, and normalization across 400+ MLS feeds and other sources. We also extend the platform to capture user-activity data for new features and build AI agents that automate feed onboarding and listing-issue triage, reducing manual effort for internal teams and clients and shortening the path from data to business impact. Strategic Projects (Year 1) Architect our foundational home-ranking and recommendation platforms to incorporate advanced deep-learning and transformer-based models, dramatically accelerating experimentation across every user touchpoint Autonomous MLS AI agents: Launch AI agents that reduce time to onboard new MLS listing feeds and triage / resolve listing issues using structured and unstructured data What You’ll Do Architect and operate scalable batch & streaming data systems (Spark/EMR, Kafka, SQL) Own data quality, performance, and reliability through automated testing and monitoring Design transactional and analytical data models and feature stores Fine-tune embeddings and ML models; deploy RAG‐ and RL-based ranking pipelines Integrate and optimize LLMs for conversational agents Evolve the evaluation stack (A/B, offline metrics, model monitoring) to track impact end-to-end Collaborate with product, engineering, and business stakeholders; mentor peers; shape the long-term ML data-platform strategy Our Tech Stack Python, Spark Streaming, Kafka, Iceberg, Fast API & NodeJS microservices AWS, EMR, Kubernetes, Airflow Postgres, DynamoDB, Athena, ElasticSearch, LanceDB Qualifications (Required) BS/MS in Computer Science or related field, or equivalent experience 5+ years building large-scale data pipelines on AWS or GCP with Spark/EMR, Kafka, and SQL Strong with a backend programming language like Python or Java; production experience with TensorFlow or PyTorch Delivered ML-powered features in recommendations, search/ranking, or conversational AI Hands-on with embeddings, RAG, and reinforcement learning from feedback Familiar with vector databases, LLM deployment, Kubernetes/EKS, and modern CI/CD Excellent communicator who drives results across product, engineering, and business teams Preferred Proven wins building large-scale ranking or personalization platforms. Experience with integrating Large Language Models in production systems Experience leading projects and mentoring engineers Proven success working in Agile environments Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, Toba Capital, and Switch Ventures, and have raised $52.6 million to date. More than 15,000 real estate businesses rely on our platform, including 31 of the RealTrends top 100 agents featured in The Wall Street Journal. Additionally, many of the industry’s most powerful brokerages — including Compass, Coldwell Banker, and Sotheby’s International Realty — rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and our lead nurturing tool just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Working Hours - 3pm IST to 11pm IST

About Flam : We are a fast-growing startup on a mission to revolutionize the MR (Mixed Reality) space through innovative AI. Our projects range from immersive mixed-reality applications to advanced generative AI solutions (e.g., GANs, diffusion models, transformers, large language models, and more). We value creativity, problem-solving, and out-of-the-box thinking above all else—your formal qualifications matter less to us than your ability to push the boundaries of AI technology. Why MR? Mixed Reality (MR): Merges the best of both Augmented Reality and Virtual Reality, integrating physical and virtual environments for real-time interaction. We leverage these technologies to create next-generation user experiences that transform how people interact with digital content. Our AI-driven approach ensures these immersive environments are intelligent, adaptive, and personalized. Role Overview : We are rapidly expanding our AI team and are hiring across multiple experience levels—from fresh graduates and self-taught enthusiasts to seasoned AI experts. As an AI Engineer/Researcher/Scientist, you will work on cutting-edge AI projects that blend creative design principles with emerging technologies like GANs, diffusion models, transformers, large language models, and MR applications. You’ll be given the freedom to experiment, innovate, and propose unconventional solutions. We’re looking for fast learners who can dig into research papers and GitHub repositories to test and refine multiple solutions rapidly—ultimately selecting and implementing the best one. If you thrive on minimal instruction, adapt quickly, and love solving complex problems, this role is for you. Key Responsibilities : Investigate, prototype, and implement state-of-the-art AI methods across a wide range of applications—generative models (GANs, diffusion models), transformers, large language models, reinforcement learning, and more. Explore and adapt novel approaches to AI-driven interactions and experiences in mixed reality environments. Build, train, and optimize deep learning models for various tasks, including computer vision, natural language processing, 3D content generation, and more. Quickly learn and implement cutting-edge techniques from research papers, GitHub repositories, and community-driven projects. Work closely with designers, product managers, and AR/VR/MR developers to integrate AI solutions seamlessly into mixed-reality applications. Participate in brainstorming sessions that bridge AI, design principles, and user experience. Stay updated on the latest AI research and emerging technologies, especially in generative AI, transformers, and spatial computing. Propose and lead experimental projects that push the boundaries of what is possible with AI in extended reality experiences. Identify project challenges independently and develop creative, robust solutions with minimal supervision. Continually evaluate technical trade-offs and refine solutions to meet product and design requirements. Qualifications : Passion for AI and a drive to explore cutting-edge research. Ability to rapidly learn new tools, frameworks, and concepts, often self-taught or independently researched. Creative and unconventional approaches to complex challenges. Proficiency in at least one programming language commonly used in AI (e.g., Python) and familiarity with AI frameworks (e.g., TensorFlow, PyTorch). Exposure to a variety of AI techniques, including but not limited to generative models, large language models, computer vision, reinforcement learning, or other specialized domains. Understanding of Design Principles: How they can be applied to AI solutions, ensuring that user experience remains front and center. Experience with AR/VR/MR (Unity, Unreal Engine, OpenCV, etc.) is a bonus, but not mandatory. Self-motivated with excellent communication skills and a collaborative mindset.

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What To Know Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. Principal Engineer - Artificial Intelligence (with Gen AI) The Opportunity We have an outstanding career opportunity for a Principal Engineer- Artificial Intelligence in Bengaluru, Hyderabad, and Pune. As an AI Engineer, you will play a pivotal role in developing and implementing innovative AI solutions to enhance customer interactions, streamline processes, and drive overall business growth. We are an extra ordinary engineering team that thrives on innovative ideas! We believe in having a dynamic engineering process but at the same time believe that processes can evolve to enhance Developer efficiencies and capabilities. We take pride in our ability to complete complex projects while delivering exceptional results to our customers. It takes great people to build great software and that’s where you come in! We thrive upon collaboration and focus our efforts on maintaining a strong diverse workforce. We hire individuals from all different backgrounds and experiences and are passionate about equality and integrity. What You’ll Do AI Model Development: Design, develop, and deploy advanced AI models, including machine learning algorithms, natural language processing, and computer vision, to address specific customer experience challenges. Data Analysis: Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform AI model development and optimization. Customer Experience Integration: Integrate AI solutions seamlessly into our existing customer experience systems and platforms, ensuring a cohesive and personalized customer journey. Algorithm Optimization: Continuously refine and improve AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences. Proof of Concept (POC) Development: Develop and test AI-powered prototypes and POCs to demonstrate the feasibility and value of proposed solutions. Collaboration: Work closely with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs. Stay Updated: Keep abreast of the latest advancements in AI technology and industry best practices to ensure our solutions remain cutting-edge. Who You Are Bachelor's degree required. Strong programming skills in Python or other relevant programming languages. Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn. In-depth knowledge of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Experience with natural language processing (NLP) techniques, such as text classification, sentiment analysis, and language generation. Knowledge of cloud platforms (AWS, GCP, Azure) and their AI services. A passion for delivering exceptional customer experiences through innovative AI solutions. Knowledge of customer relationship management (CRM) systems and customer data platforms. Experience with AI-powered chatbots or virtual assistants. Knowledge of ethical AI practices and data privacy regulations. Security and SaaS experience strongly preferred. You’ll Love Working Here Because Employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Annual health check-ups, Car lease Program, and Tuition Reimbursement An inclusive company culture, an opportunity to join our Community Guilds Personal accident cover and Term life cover Ready to #makeyourmark at Commvault? Apply now! Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com. Commvault's Privacy Policy

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Education Desired Bachelor of Technology Travel Percentage 0% What you will be doing Consulting & Strategy Assess client needs and identify opportunities for agentic AI integration Develop strategic roadmaps for deploying autonomous AI agents across business functions Educate stakeholders on the capabilities, risks, and ethical considerations of agentic AI Lead end-to-end delivery of RPA and Gen AI projects across BFS clients Strong domain knowledge of BFS processes (e.g., Lending, Deposits, KYC, AML, loan processing, risk management) Collaborate with business stakeholders to gather requirements, define project scope, and translate them into technical specifications Manage cross-functional teams including developers, data scientists, business analysts, and QA Drive project planning, execution, risk management, and stakeholder communication Evaluate and recommend RPA tools (e.g., UiPath, Automation Anywhere) and Gen AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI) Ensure compliance with BFS industry regulations and data privacy standards Monitor KPIs and ROI of automation and AI initiatives Stay updated with emerging trends in AI, RPA, and BFS technologies Solution Design & Implementation Assist in Design of agentic AI architectures using LLMs, multi-agent systems, and tool-augmented reasoning frameworks Collaborate with data scientists, engineers, and product teams to prototype and deploy AI agents Integrate agents with APIs, databases, and enterprise tools to enable real-world action-taking Evaluation & Optimization Define KPIs and evaluation metrics for agent performance Continuously monitor, test, and refine agent behavior to ensure alignment with business goals Stay current with the latest research and tools in agentic AI, LLMs, and autonomous systems What you Bring Bachelor’s or master’s degree in computer science, Information Technology, or related field 10+ years of experience in IT project management, with at least 3–5 years in RPA and/or Gen AI Strong domain knowledge of BFS processes (e.g., KYC, AML, loan processing, risk management) Hands-on experience with RPA tools (UiPath, Blue Prism, Automation Anywhere) Familiarity with Gen AI models and platforms (LLMs, prompt engineering, fine-tuning) Familiarity with APIs, cloud platforms (AWS, Azure, GCP), and data integration pipelines Proven ability to manage large-scale digital transformation projects Excellent communication, stakeholder management, and leadership skills Preferred Qualifications~ Experience integrating AI solutions with legacy BFS systems Exposure to cloud platforms (Azure, AWS, GCP) Understanding of data governance and AI ethics in BFS Experience with autonomous agents in real-world applications (e.g., customer support, research automation, workflow orchestration) Knowledge of reinforcement learning, planning algorithms, or cognitive architectures Understanding of AI safety, alignment, and interpretability challenges Added Bonus If You Have 1-year of customer service experience 1-year experience working in a high-volume call center Excellent customer service skills that build high levels of customer satisfaction What We Offer You A competitive salary with attractive benefits including private medical and dental coverage insurance A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities A modern work environment and a dedicated and motivated team A broad range of professional education and personal development opportunities A work environment built on collaboration and respect Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling. Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA). Perform data preprocessing, cleaning, and transformation for machine learning pipelines. Conduct data exploration and statistical analysis to derive actionable insights. Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations. Deliver engaging online and offline training sessions on AI, ML, Deep Learning, and related tools Create course materials, hands-on projects, quizzes, and assignments Guide students on capstone projects and assessments Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) artificial intelligence: 2 years (Preferred) Work Location: In person

Sales Excellence Gurgaon, Haryana, India Date posted Jul 28, 2025 Job number 1852871 Work site Up to 50% work from home Travel 25-50 % Role type Individual Contributor Profession Sales Enablement Discipline Sales Excellence Employment type Full-Time Overview Supports executive capacity and acts as an internal advocate for the segment (as the COO/extension for the segment leadership). Defines and drives a predictable Rhythm of Connection (RoC) in collaboration with cross-functional teams to ensure quality outcome delivery. Instills sales process discipline and adherence to standards and execution excellence. Coaches' sales teams or partners to execute sales motions and strategies; creates and lands new habits and business priorities among sales teams; collaborates across segments to proactively seek resolution to mange change. Advises leaders in their respective teams (Segments, OCP, Services, MCA, CDS, etc. ) and collaborates with peers to develop segment strategies on segmentation/partner selection, territory planning, and quota setting. Drives the reinforcement and review of account / portfolio / partner business planning to ensure quality. Generates business insights to develop, align, and execute sales/organizational/partner strategies. Advocates the effective and rigorous usage of systems and tools; leverages existing reporting/analytical capabilities and defines requirements for new capabilities if needed. Removes sales blockers and captures feedback on sales challenges through the right channel. Qualifications Required/minimum qualifications 10+ years experience with active participation in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 7+ years of experience managing relationships with stakeholders, clients, and/or customers. Additional or preferred qualifications Bachelor's Degree in a related field. 7+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Responsibilities Business Partnership and Support Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. Provides leadership on proposed segmentation changes based on local business knowledge. Aligns with Business and Sales Operations (BSO) on quota distribution strategy and timeline for the Area. Leverages segment expertise to influence judgment/adjustments prior to quota decisions. Participates in sales leader and manager briefings to share quotas and rationale where needed. Guides sales leadership on sales strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a trusted advisor. Defines accountabilities and operationalizes the prioritized sales plays and industry solutions. Leads efforts to generate new business and accelerate the closing of existing opportunities. Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across the organization. As primary orchestrator of the Account/Portfolio Partner Business Plan, drives the activation of sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Leads reinforcement and review of quality plans across the organization. Drives sales growth through long term account or business planning. Analyzes the outlook and generates business insights to advise and/or partner with the sales leadership team on long-term sales/organizational/partner strategies. Drives efforts to integrate strategy components (e.g., programs, blueprints), cascade, align, and execute the defined strategy across the organization. Driving Sales Process Discipline Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop for the sales team. Integrates the feedback to guide engineer/partner teams on improving tools. Leads innovations in analytics on key revenue drivers (e.g. by channel, by product, by geo). Shares data-based best practices. Develops and capitalizes reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Holds sales managers accountable for account plan quality and completeness. Drives consistency and excellence in the sales process across segments/regions. Develops best practices and provides thought leadership across the organization. Sales Coaching for Growth and Transformation Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Provides expertise and shepherds sales leaders' strategies to anticipate and mitigate risks. Identifies trends on sales challenges or blockers. Guides relevant teams to develop actions based on the trends. Leads optimization and improvement in sales team processes and capabilities across the organization. Assesses and anticipates customer/partner needs and develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models and influences transformation to a coaching culture. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and leads the adoption of plans to create new habits among sales teams or partners. Coaches and builds relationships with sales leaders on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales leaders to become more effective coaches to their teams. Guides and challenges sales leaders to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and influence large deal pursuit. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Senior AI Engineer who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. A Day in the Life Design and build scalable AI platform architecture to support ML development, agentic frameworks, and robust self-serve AI pipelines. Develop agentic frameworks and a catalog of AI agents tailored to healthcare use cases. Design and deploy high-performance, low-latency AI applications. Build and optimize ML/DL models, including generative models like Transformers and GANs. Construct and manage data ingestion and transformation pipelines for scalable AI solutions. Conduct experiments, and statistical analysis, and derive insights to guide development. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate AI innovations into real-world applications. Partner with business leaders and clients to understand pain points and co-create scalable AI-driven solutions. What You Need Master’s in Computer Science, Engineering, or a related field. 1-3 years of software engineering experience with strong API development skills. 1+ years of experience in data science and at least 1+ year in building generative AI pipelines, agents, and RAG systems. Strong Python programming skills with enterprise application development and optimization. Experience with: o LLMs, prompt engineering, and fine-tuning SLMs. o Frameworks like LangChain, CrewAI, or Autogen (at least one is a must). o Vector databases (e.g., FAISS, ChromaDB). o Embedding models and Retrieval-Augmented Generation (RAG) design.  Familiarity with at least one ML platform (Databricks, Azure ML, SageMaker). Bonus: Experience with Docker, Kubernetes, AWS/Azure, Snowflake, and healthcare data systems Preferred Skills Python – building scalable, performant AI applications. Experience with reinforcement learning and multi-agent systems.  LLM optimization and deployment at scale. Familiarity with healthcare data and AI use cases. We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave : Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EHR-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

Job Title: AI Developer Company: Eoxys IT Solution Location: Jaipur, Rajasthan Experience: 1–2 Years Employment Type: Full-Time Education Qualification: BCA / MCA / B.Tech in Computer Science, IT, or related field Key Skills Required: Strong programming skills in Python Hands-on experience with TensorFlow , PyTorch , Keras Experience building and deploying end-to-end ML pipelines Solid understanding of model evaluation , cross-validation , and hyperparameter tuning Familiarity with cloud platforms such as AWS, Azure, or GCP for AI/ML workloads Knowledge of MLOps tools like MLflow, DVC, or Apache Airflow Exposure to domains like Natural Language Processing (NLP) , Computer Vision , or Reinforcement Learning Roles & Responsibilities: Develop, train, and deploy machine learning models for real-world applications Implement scalable ML solutions using cloud platforms Collaborate with cross-functional teams to integrate AI capabilities into products Monitor model performance and conduct regular improvements Maintain version control and reproducibility using MLOps practices Additional Requirements: Strong analytical and problem-solving skills Passion for learning and implementing cutting-edge AI/ML technologies Good communication and teamwork skills Salary: Based on experience and skillset Apply Now to be a part of our innovative AI journey! Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Work Location: In person

Eperience Industrial Structures Eecution and Preparation of Bar Bending Schedules Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Work Location: In person

Job Description: AI Engineer - Generative AI Company:- Focalworks Solutions Pvt Ltd. Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer A competitive salary and performance bonus. Comprehensive health insurance. Flexible working hours and a hybrid work model. A budget for professional development, conferences, and certifications. The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to rahul.narwade@focalworks.in , with the subject line " Application for AI Engineer ".

Company Description Petsfolio is dedicated to enriching the lives of pets and their owners by providing premium pet care services and a community of trusted pet experts. Founded on a passion for animals and a commitment to high-quality care, Petsfolio ensures that pet parents have access to reliable, compassionate, and skilled professionals to care for their pets' unique needs. Job Description Job Title: Dog Trainer Location: Mumbai Company: Petsfolio Type: Full-time / Part-time / Freelance Job Overview: We’re looking for a passionate and experienced Dog Trainer to help pet parents train their dogs in obedience, behavior, and social skills using positive reinforcement techniques. Responsibilities: Conduct 1-on-1 training sessions Address behavioral issues (e.g., aggression, anxiety, leash pulling) Create personalized training plans Educate pet owners on follow-up practices Track progress and provide feedback Apply: https://play.google.com/store/apps/details?id=com.petsfolio.employee&hl=en Contact whatsapp - 9731747471 Qualifications Prior experience in dog training Strong understanding of dog behavior Excellent communication skills Certification (preferred but not mandatory)

Company Description At Precision Precast Solutions (PPS), we turn engineering ideas into reality with expertise and precision. For over 20 years, we have delivered high-quality design and detailing solutions using BIM for precast concrete, steel and hybrid structures worldwide. We specialize in structural, architectural and BIM engineering services, supporting various infrastructure types, including data centers, industrial buildings, hospitals, and bridges. With a scalable team, cutting-edge technology, and a quality-first approach, PPS is the trusted partner for precast manufacturers, general contractors, and engineering firms across the US, Europe, and beyond. Role Description · To create, modify, and refine detailed technical drawings based on the conceptual designs provided · To ensure that all measurements, scales, and materials are accurately represented in the drawings · To update the drawings to reflect any changes or adjustments to the original plans. · To provide detailed sections, elevations, and views of components that are crucial for construction, such as reinforcement details, connections, etc. · Ensure compliance with standards & codes · Conduct self-checks to verify that all drawings are in accordance with internal quality standards and client expectations. · Maintain proper documentation Qualifications Proficiency in AutoCAD for 2D/3D drafting Good Visualization Skills Good in Engineering fundamentals Good at AutoCAD drawing Work closely with drafting team and understand the project need. Good at MS Excel B.E. (Civil) / Diploma / ITI C an Apply on njb@ppspl.in

Supports executive capacity and acts as an internal advocate for the segment (as the COO/extension for the segment leadership). Defines and drives a predictable Rhythm of Connection (RoC) in collaboration with cross-functional teams to ensure quality outcome delivery. Instills sales process discipline and adherence to standards and execution excellence. Coaches' sales teams or partners to execute sales motions and strategies; creates and lands new habits and business priorities among sales teams; collaborates across segments to proactively seek resolution to mange change. Advises leaders in their respective teams (Segments, OCP, Services, MCA, CDS, etc. ) and collaborates with peers to develop segment strategies on segmentation/partner selection, territory planning, and quota setting. Drives the reinforcement and review of account / portfolio / partner business planning to ensure quality. Generates business insights to develop, align, and execute sales/organizational/partner strategies. Advocates the effective and rigorous usage of systems and tools; leverages existing reporting/analytical capabilities and defines requirements for new capabilities if needed. Removes sales blockers and captures feedback on sales challenges through the right channel. Responsibilities Business Partnership and Support Guides segment leads or partners, or collaborates with peers to develop segment strategy for segmentation, territory planning, and quota setting. Provides leadership on proposed segmentation changes based on local business knowledge. Aligns with Business and Sales Operations (BSO) on quota distribution strategy and timeline for the Area. Leverages segment expertise to influence judgment/adjustments prior to quota decisions. Participates in sales leader and manager briefings to share quotas and rationale where needed. Guides sales leadership on sales strategies for opportunity management (e.g., up-sell, cross-sell, renewal, recapture) as a trusted advisor. Defines accountabilities and operationalizes the prioritized sales plays and industry solutions. Leads efforts to generate new business and accelerate the closing of existing opportunities. Defines and drives a predictable rhythm of the connection (RoC) in collaboration with peers and/or leadership. Leads end-to-end RoC activities to enforce great discipline and ensure quality outcome delivery. Provides in-depth business insights and recommendations to effect positive changes. Leads efforts and coaches less experienced team members to streamline and improve the RoC cadence across the organization. As primary orchestrator of the Account/Portfolio Partner Business Plan, drives the activation of sponsorship within segment leaders. Coaches managers and sellers on account/portfolio/partner business planning fundamentals, habits, and plan quality. Leads reinforcement and review of quality plans across the organization. Drives sales growth through long term account or business planning. Analyzes the outlook and generates business insights to advise and/or partner with the sales leadership team on long-term sales/organizational/partner strategies. Drives efforts to integrate strategy components (e.g., programs, blueprints), cascade, align, and execute the defined strategy across the organization. Driving Sales Process Discipline Acts as a subject matter expert to convey the value of tools and drive the effective and rigorous usage of common and/or new processes and tools developed for the wider business to improve internal and external communications and engagements. Owns consolidated input from the supported area into the feedback loop for the sales team. Integrates the feedback to guide engineer/partner teams on improving tools. Leads innovations in analytics on key revenue drivers (e.g. by channel, by product, by geo). Shares data-based best practices. Develops and capitalizes reporting and analytical capabilities to generate data-based insights and enable visibility into revenue and forecast for sellers, sales managers and leaders, or partners. Drives sales process discipline, adherence to standards and excellence in execution, or pipeline health in collaboration with sales leaders. Holds sales managers accountable for account plan quality and completeness. Drives consistency and excellence in the sales process across segments/regions. Develops best practices and provides thought leadership across the organization. Sales Coaching for Growth and Transformation Partners with Area Transformation Leads, Area Capability Leads, and Business and Sales Operations (BSO) to remove sales roadblocks, drive utilizations of investment, increase customer/partner-facing time, and enhance seller/partner capability and effectiveness. Provides expertise and shepherds sales leaders' strategies to anticipate and mitigate risks. Identifies trends on sales challenges or blockers. Guides relevant teams to develop actions based on the trends. Leads optimization and improvement in sales team processes and capabilities across the organization. Assesses and anticipates customer/partner needs and develops methodologies and resources to transform seller capabilities, sales processes, and/or partner engagement processes. Models and influences transformation to a coaching culture. Drives awareness and clarity of Corporate or TimeZone programs. Intakes and leads the adoption of plans to create new habits among sales teams or partners. Coaches and builds relationships with sales leaders on executing key priorities. Identifies where coaching may be needed based on data-driven insights. Influences sales leaders to become more effective coaches to their teams. Guides and challenges sales leaders to achieve increased individual and team capability, employee satisfaction, and collaborative selling efforts. May coach and influence large deal pursuit. Supporting Executive Capacity Supports segment leader capacity as a senior leader. Advises on and contributes to various aspects of business management (e.g., employee engagement, resource allocation, change management, building high-performing teams) in collaboration with leadership and cross-functional teams. Represents the segment as an internal advocate and an extension of the segment leadership. Qualifications Required/minimum qualifications 10+ years experience with active participation in sales, sales operations/management, account management, program management, business development, marketing, consulting, or a related field OR equivalent experience. 5+ years of experience using data to drive business outcomes or inform business decisions. 7+ years of experience managing relationships with stakeholders, clients, and/or customers. Additional Or Preferred Qualifications Bachelor's Degree in a related field. 7+ years managing projects, including planning, managing timelines, and tracking progress, and/or change management experience. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description: AI Engineer - Generative AI Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years About Us Focalworks is a trusted digital solutions partner for global organizations, consulting firms, and startups. Since 2008, we have been passionate about creating impact through technology, crafting custom software, digital experiences, and e-commerce solutions that drive success. As we look to the future, we are building the next generation of AI-powered solutions to lead the charge in digital transformation. We believe this is the future of software, and we are looking for brilliant engineers to join us in this exciting venture. The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Linkedin Connect/Mail We are glad that to inform you that we have a job opening for the position of “ AI Engineer - Generative AI ” for our company location Vashi ,Navi Mumbai, Below is the details for the same. Company: Focalworks Location: Navi Mumbai, Maharashtra / Hybrid Experience: 3 to 5 years The Role We are seeking a skilled AI Engineer with a strong software engineering background to be a key player in our AI-Solutions team. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems and power consumer applications of the future. Key Responsibilities (What You Will Do and Master) ● Build Advanced AI Agents: Move beyond simple chains to develop complex, multi-step AI agents that can reason, plan, and execute tasks. You'll become an expert in advanced architectural patterns, orchestrating both deterministic and non-deterministic workflows, and exploring techniques like reinforcement learning to refine agent policies. ● Implement Deep Tool & API Integration: Equip agents with the ability to perform real-world actions by implementing Tool Calling and MCPs, and integrating them with a diverse set of internal and external tools, databases, and APIs. ● Master Systematic Prompt Engineering: Design sophisticated prompt chains using techniques like Chain-of-Thought and ReAct, and build systems to test, version, and manage these prompts like code. ● Drive Rigorous Evaluation & Experimentation: Develop automated evaluation suites to benchmark agent performance on metrics like correctness, relevance, and safety, driving continuous improvement through data-driven A/B testing. ● Implement Safety & Guardrails: Build critical safety layers and validation steps to ensure agents operate reliably and prevent them from taking unintended, incorrect, or harmful actions. ● Own AI System Observability & Optimization: Implement comprehensive logging, metrics, and tracing to monitor AI systems in production. Manage the trade-offs between performance, latency, and cost by implementing techniques like multi-LLM routing and advanced caching. ● Lead Enterprise-Scale System Ownership: Take true ownership of production AI components, ensuring their security, reliability, and scalability as part of our robust microservices architecture. Required Qualifications (What You Should Have) Core AI & Software Fundamentals ● Solid Python Proficiency: Expertise in Python and its ecosystem, including libraries like NumPy and Pandas. ● Machine Learning & Deep Learning Concepts: Have a solid grasp of the machine learning landscape, including common model types and when to apply them. You should be proficient in at least one major ML framework like PyTorch or TensorFlow . ● Data Processing & Refinement: Have practical experience with the day-to-day work of cleaning, preprocessing, and transforming structured and unstructured data to make it suitable for AI models. ● Broad AI Application Knowledge: Understand the principles behind a range of modern AI applications, such as semantic search, text summarization, chatbots, data extraction from unstructured text, and computer vision tasks like image analysis and object detection. ● API Development Experience: Have hands-on experience building, testing, and deploying RESTful APIs . Core Generative AI Proficiency ● Prompt Engineering: Context Engineering: Understand the critical practice of strategically managing the information provided in an LLM's context window. You understand and have practiced the fundamentals of crafting effective prompts to guide and steer LLM behavior. This includes using patterns like Retrieval-Augmented Generation (RAG), managing conversational history, and providing effective few-shot examples to ground the model and improve response quality. ● Understanding of LLMs and the Ecosystem: Have a strong grasp of how Large Language Models work, their capabilities, and their limitations. You are familiar with the Hugging Face ecosystem. ● Hands-on Experience with LLM Frameworks: Have built projects using modern LLM application frameworks (e.g., LangChain , LlamaIndex ). ● Knowledge of Fine-Tuning: Understand the concepts and use cases for adapting models to specific domains through fine-tuning. ● Production Deployment of GenAI (nice to have): Have some experience deploying Generative AI solutions to a production environment and understand the unique considerations involved, such as managing latency, optimizing costs, ensuring security, and monitoring for performance degradation or model drift. Essential Soft Skills ● Strong Problem-Solving Mindset: You are naturally curious and adept at breaking down complex, ambiguous problems into manageable steps. ● Clear Communication: You can articulate technical concepts and decisions clearly to your peers. What We Offer ● A competitive salary and performance bonus. ● Comprehensive health insurance. ● Flexible working hours and a hybrid work model. ● A budget for professional development, conferences, and certifications. ● The opportunity to work on diverse AI projects in a company with a 15+ year history of excellence. If interested you can share your Updated resume at Rahul.narwade@focalworks.in with below required job opening:_ Total Yrs of Experience Relevant Yrs of experience AI Engineer :__ ; Python__YRS ; NumPy:__YRS, Pandas__YRS ; LLMs Frameworks:__YRS ; LangChain:-___YRS or LlamaIndex :-__YRS what is the current CTC:___LPA What is Expected CTC:-__LPA Notice Period:_-___ Reason for change:- Current Location:- Available to work at our office location(Vashi Navi Mumbai location):- __ How to Apply If you are passionate about building the next generation of intelligent software and want to make a tangible impact, we would love to hear from you. Please send your resume and a link to your portfolio or GitHub profile to careers@focalworks.in , with the subject line " Application for AI Engineer ". Job Type: Full-time Pay: ₹1,200,000.00 - ₹4,000,000.00 per year Schedule: Day shift Work Location: In person

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Director, AI Lab The AI Lab Lead is responsible for driving the research, and assessment of the latest AI technologies to accelerate the organization's innovation and AI strategy. This role focuses on evaluating and fostering strategic partnerships with external stakeholders, recommending and prototyping new technology based upon business need, and working across the AI team to support deployment and adoption. As a senior technology leader, the AI Lab lead will manage a high-performing team of AI professionals Who we’re looking for: Responsibility: Strategic Vision: Define and execute a comprehensive AI ecosystem strategy & technology roadmap aligned with the company's overall business goals. Identify high-impact early AI use case ideas across various business functions and prioritize initiatives. Establish a roadmap for AI development, including research priorities and technology adoption. Team Leadership: Build and manage a high-performing team of AI experts, including AI engineers, machine learning engineers, and architects. Foster a culture of innovation and experimentation within the lab. Provide mentorship and career development opportunities for team members. Research and Development: Oversee the development of advanced AI models and algorithms, exploring new techniques and approaches. Conduct research to identify potential applications for AI across the organization. Lead proof-of-concept projects to validate the feasibility of AI solutions. Collaboration and Stakeholder Management: Partner with cross-functional teams across the organization to identify and implement AI solutions that address business needs. Communicate complex technical concepts to non-technical stakeholders, advocating for AI adoption. Build relationships with external partners, such as academic institutions and technology companies, to form a strong AI ecosystem community Ethical Considerations: Champion ethical AI practices, ensuring data privacy, fairness, and responsible development of AI models. Establish guidelines for data governance and model transparency. Skills & Experience Required: Bachelor's degree in data science, Computer Science, Business, or Analytics or a relevant field, Master’s or PhD preferred 15+ years in AI/ML or related fields, including hands-on experience in building and deploying AI solutions Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch). Proficiency in AI techniques like deep learning, reinforcement learning, generative AI, Agentic AI and Edge AI Experience with ML frameworks, Generative AI - LLM and other large-scale AI system design Start-up and entrepreneurship experience is considered a plus Ability to clearly communicate complex AI concepts to non-technical stakeholders Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 4 years of experience with physical design flow such as floor planning, place and route, or physical verification. Experience with low-power design techniques, such as power gating, clock gating, or voltage scaling. Preferred qualifications: Experience in using Machine Learning (ML) in physical design. Knowledge of machine learning algorithms from logistic regression to deep neural networks and reinforcement learning. Knowledge of data structures and algorithms. About The Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will contribute to improving Power Performance Area (PPA) using machine learning techniques. You will use the experience of physical design and machine learning to solve technical problems and improve on Power, Performance, Area and Schedule. You will work on design and optimizations, floorplan, place and route, clock and power planning, timing analysis, and Power Delivery Network (PDN) analysis. You will collaborate across Alphabet working with design, CAD and machine learning teams. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Deploy Artificial Intelligence (AI) solutions into chip design, work with internal teams, Google DeepMind and other teams to explore solutions and apply to improve chip design PPA or cycle time. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

We are seeking a cross-functional expert at the intersection of Product, Engineering, and Machine Learning to lead and build cutting-edge AI systems. This role combines the strategic vision of a Product Manager with the technical expertise of a Machine Learning Engineer and the innovation mindset of a Generative AI and LLM expert. You will help define, design, and deploy AI-powered features , train and fine-tune models (including LLMs), and architect intelligent AI agents that solve real-world problems at scale. 🎯 Key Responsibilities 🧩 Product Management: Define product vision, roadmap, and AI use cases aligned with business goals. Collaborate with cross-functional teams (engineering, research, design, business) to deliver AI-driven features. Translate ambiguous problem statements into clear, prioritized product requirements. ⚙️ AI/ML Engineering & Model Development Develop, fine-tune, and optimize ML models, including LLMs (GPT, Claude, Mistral, etc.). Build pipelines for data preprocessing, model training, evaluation, and deployment. Implement scalable ML solutions using frameworks like PyTorch , TensorFlow , Hugging Face , LangChain , etc. Contribute to R&D for cutting-edge models in GenAI (text, vision, code, multimodal). 🤖 AI Agents & LLM Tooling Design and implement autonomous or semi-autonomous AI Agents using tools like AutoGen , LangGraph , CrewAI , etc. Integrate external APIs, vector databases (e.g., Pinecone, Weaviate, ChromaDB), and retrieval-augmented generation (RAG). Continuously monitor, test, and improve LLM behavior, safety, and output quality. 📊 Data Science & Analytics Explore and analyze large datasets to generate insights and inform model development. Conduct A/B testing, model evaluation (e.g., F1, BLEU, perplexity), and error analysis. Work with structured, unstructured, and multimodal data (text, audio, image, etc.). 🧰 Preferred Tech Stack / Tools Languages: Python, SQL, optionally Rust or TypeScript Frameworks: PyTorch, Hugging Face Transformers, LangChain, Ray, FastAPI Platforms: AWS, Azure, GCP, Vertex AI, Sagemaker ML Ops: MLflow, Weights & Biases, DVC, Kubeflow Data: Pandas, NumPy, Spark, Airflow, Databricks Vector DBs: Pinecone, Weaviate, FAISS Model APIs: OpenAI, Anthropic, Google Gemini, Cohere, Mistral Tools: Git, Docker, Kubernetes, REST, GraphQL 🧑‍💼 Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related field. 10+ years of experience in core ML, AI, or Data Science roles. Proven experience building and shipping AI/ML products. Deep understanding of LLM architectures, transformers, embeddings, prompt engineering, and evaluation. Strong product thinking and ability to work closely with both technical and non-technical stakeholders. Familiarity with GenAI safety, explainability, hallucination reduction, and prompt testing, computer vision 🌟 Bonus Skills Experience with autonomous agents and multi-agent orchestration. Open-source contributions to ML/AI projects. Prior Startup Or High-growth Tech Company Experience. Knowledge of reinforcement learning, diffusion models, or multimodal AI. Skills: text,claude,vision,hugging face transformers,sagemaker,hallucination reduction,langchain,genai safety,machine learning,data science & analytics,transformers,crewai,gcp,open-source contributions to ml/ai projects,startup,chromadb,graphql,pipelines,diffusion models,llm architectures,prompt engineering,gpt,weaviate,cohere,structured, unstructured, and multimodal data,docker,autogen,ai/ml products,model development,git,ai use,a/b testing,core ml,code,ai/ml engineering & model development,vertex ai,architect intelligent ai agents,tensorflow,bleu,ai-driven features,error analysis,roadmap,typescript,retrieval-augmented generation (rag),model training,multimodal ai,weights & biases,image,generative ai,hugging face,ray,f1,explore and analyze large datasets,spark,kubernetes,data science,product management,autonomous agents,mlflow,multimodal,ai,rest,google gemini,model evaluation,computer vision,mistral,vector databases,sql,engineering,airflow,output quality,pinecone,langgraph,reinforcement learning,pandas,llms,rust,ai-powered features,fastapi,multi-agent orchestration,embeddings,python,aws,ml models,kubeflow,pytorch,azure,dvc,openai,faiss,databricks,audio,ai engineering,numpy,anthropic,define product vision