SmalBlu is the world’s first cross-layer AI platform that autonomously optimises enterprise data infrastructure across user, app, compute, network, database, and storage layers. Powered by LLM-powered agentic system and proprietary optimisation and compression technologies, SmalBlu helps enterprises cut cloud costs by 40%, carbon footprint by 35%, and query latency by 30%, while enabling deep infrastructure intelligence for CXOs. Preference: Fast learners and track owners with 2+ industry experience in their field. Part-time also works if you are currently working somewhere (30 hours per week min) AI Engineering Scope of Work: You will be responsible for building the core agentic intelligence layer of SmalBlu. This includes developing and fine-tuning ML models for optimizing compute, network, and storage layers across enterprises. You’ll integrate with LangGraph workflows, vector databases, and cost-performance datasets to enable AI-driven decision-making across the platform. Responsibilities: Build intelligent agent workflows using LangChain or LangGraph Train and fine-tune models for resource optimisation, cost prediction, and carbon analytics Integrate custom LLM pipelines with APIs and event systems ( Kafka, REST ) Work on Pinecone or other vector DBs to power infra-aware memory Skills Required: Proficiency in Python Experience with TensorFlow/PyTorch, LangChain, Pinecone Familiarity with LLMs, RAG models, vector search Strong grasp of optimization, compute, or data infra modeling About the Position: Duration: 6-month paid internship with a compensation of upto 50k per month + ESOPs , followed by full-time employment based on performance with competitive pay. Compensation & Perks: ✅ Full-time employment opportunity with full-time pay + incentives post-internship ✅ Hybrid work model ( Ahmedabad preferred ) ✅ Be a core part of a fast-growing impact-driven startup tificial Intelligence, or a related field Application Link : https://forms.gle/VUhCvyPHrw8czdkv8 You can reach out to us at garv@smalblu.ai via mail or at +91 6354057091/+91 8488006997 for any questions. Show more Show less

About Vibrant Brands Vibrant Brands is an Australian-based, multi-brand tech business dedicated to transforming digital experiences through innovative platforms and mobile applications. We leverage artificial intelligence to enhance user experiences and streamline operations, creating seamless, intelligent solutions for our global audience. Role Overview We’re seeking a Senior Full Stack Developer with deep expertise in building large-scale platforms, mobile apps, and AI-driven solutions, including large language models. Reporting directly to the CEO, you’ll architect and develop AI-underpinned platforms, drive technical strategy, and delegate tasks to a team of full stack developers. This role is pivotal in embedding AI tools across our development lifecycle to elevate user experience and operational efficiency, based remotely in India. Key Responsibilities Design and develop scalable full stack platforms and mobile apps, integrating AI tools to enhance user experience and streamline operations. Lead the implementation of AI technologies, including large language models, for personalized, intelligent platform features. Collaborate with the CEO to align technical roadmaps with business objectives, prioritizing AI-driven innovation. Mentor and delegate tasks to a team of full stack developers, embedding AI best practices in their workflows. Optimize systems for performance, security, and scalability, ensuring AI integrations are robust and efficient. Stay current with AI and full stack trends to drive continuous improvement in development processes. Qualifications Experience : 7+ years in full stack development, with a strong portfolio of large-scale platforms and mobile apps. Technical Skills : Expertise in front-end (React, Angular, or Vue.js) and mobile frameworks (React Native, Flutter). Proficiency in back-end technologies (Node.js, Python, Java) and microservices architecture. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and large language models (e.g., GPT, BERT). Familiarity with AI tools for development, testing, and operations (e.g., AI-driven analytics, automation). Knowledge of cloud platforms (AWS, Azure, or GCP), DevOps, and databases (SQL, NoSQL). Experience with API development (REST, GraphQL) and AI-enhanced APIs. Leadership : Proven ability to lead teams, delegate effectively, and foster AI-driven development practices. Location : Based in India, with flexibility to align with Australian time zones (AEST). Bonus : Experience in AI-enhanced, multi-brand platforms or consumer-facing tech solutions. Why Join Vibrant Brands? Shape the technical vision of a growing Australian tech company, working directly with the CEO. Lead pioneering projects that integrate AI to redefine user experiences and operational efficiency. Enjoy remote work flexibility with a collaborative, global team. Thrive in a vibrant, inclusive culture that champions innovation and impact. Show more Show less

About Vibrant Brands Vibrant Brands is an Australian-based, multi-brand tech business committed to delivering exceptional digital experiences through innovative mobile applications and platforms. We harness artificial intelligence to enhance user engagement and streamline operations, creating intuitive, high-impact solutions for our global users. Role Overview We’re seeking a Mobile Application Developer with expertise in building high-quality Android and iOS applications. You’ll work under the guidance of our Senior Full Stack Developer to design, develop, and maintain mobile apps that leverage AI tools to deliver personalized user experiences and operational efficiencies. This remote role, targeted at India-based candidates, offers the opportunity to contribute to our multi-brand ecosystem while collaborating with a dynamic team. Key Responsibilities Design, develop, and maintain Android and iOS applications with a focus on performance, scalability, and user experience. Integrate AI-driven features, such as personalized content or intelligent automation, to enhance app functionality. Collaborate with the Senior Full Stack Developer and cross-functional teams to align mobile apps with platform goals. Optimize mobile applications for speed, security, and compatibility across diverse devices and OS versions. Implement best practices for mobile development, including testing, debugging, and CI/CD pipelines. Stay updated on mobile and AI trends to incorporate innovative features and tools into app development. Qualifications Experience : 4+ years of mobile application development experience, with a portfolio of Android and iOS apps. Technical Skills : Proficiency in mobile frameworks such as React Native, Flutter, or native development (Swift for iOS, Kotlin/Java for Android). Experience integrating AI/ML tools or APIs (e.g., TensorFlow Lite, Core ML) for mobile applications. Familiarity with RESTful APIs, GraphQL, and third-party SDKs for AI-enhanced features. Knowledge of mobile app testing frameworks and tools (e.g., XCTest, Espresso). Understanding of cloud services (AWS, Firebase, or GCP) for mobile backend integration. Collaboration : Ability to work effectively in a remote team, aligning with Australian time zones (AEST). Location : Based in India, with strong communication skills for remote collaboration. Bonus : Experience with AI-driven mobile apps or multi-brand consumer-facing applications. Why Join Vibrant Brands? Build innovative Android and iOS apps that leverage AI to transform user experiences. Work remotely with a collaborative, global team and grow under experienced technical leadership. Contribute to a fast-growing Australian tech company with a focus on cutting-edge solutions. Be part of an inclusive, vibrant culture that values creativity and impact. Show more Show less

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Job Title: Data Scientist - Manufacturing Data Solutions Level: Senior Associate Department : Advanced Analytics & Data Science Role Summary: As a Data Scientist focused on Manufacturing Data Solutions, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. Key Responsibilities: 1. Predictive Modeling and Analysis: - Develop predictive models using advanced statistical and machine learning techniques. - Conduct time series analysis, classification, and regression to support business objectives. 2. Data Processing and Integration: - Utilize Spark, Databricks, or cloud platforms like Azure/AWS for data processing. - Ensure seamless data flow from various sources into analytical models. 3. Data Visualization and Communication: - Create compelling visualizations using Tableau to convey data insights. - Present findings to stakeholders and provide actionable recommendations. 4. Collaboration and Solution Development: - Work with cross-functional teams to identify business challenges and develop data-driven solutions. - Lead projects to implement innovative data science methodologies. 5 . Research and Innovation: - Stay up-to-date with emerging data science trends and technologies. - Explore new techniques and tools to enhance data science capabilities. Mandatory Skills: - Proficiency in Python, R, SQL, TensorFlow, and PyTorch. - Experience with time series analysis, predictive modeling, classification, and regression. - Familiarity with Spark, Databricks, or cloud platforms like Azure/AWS. - Expertise in creating visualizations with Tableau to convey data insights. Good to Have Skills: - Interest in exploring new data science trends and technologies. - Experience working with cross-functional teams to develop data-driven solutions. Show more Show less

Total - 3 to 5 Yrs of Experience Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Show more Show less

neoBIM is a well-funded start-up software company revolutionizing the way architects design buildings with our innovative BIM (Building Information Modelling) software. As we continue to grow, we are building a small and talented team of developers to drive our software forward. Tasks We are looking for a highly skilled Generative AI Developer to join our AI team. The ideal candidate should have strong expertise in deep learning, large language models (LLMs), multimodal AI, and generative models (GANs, VAEs, Diffusion Models, or similar techniques) . This role offers the opportunity to work on cutting-edge AI solutions, from training models to deploying AI-driven applications that redefine automation and intelligence. Develop, fine-tune, and optimize Generative AI models , including LLMs, GANs, VAEs, Diffusion Models, and Transformer-based architectures . Work with large-scale datasets and design self-supervised or semi-supervised learning pipelines . Implement multimodal AI systems that combine text, images, audio, and structured data. Optimize AI model inference for real-time applications and large-scale deployment. Build AI-driven applications for BIM (Building Information Modeling), content generation, and automation . Collaborate with data scientists, software engineers, and domain experts to integrate AI into production. Stay ahead of AI research trends and incorporate state-of-the-art methodologies . Deploy models using cloud-based ML pipelines (AWS/GCP/Azure) and edge computing solutions . Requirements Must-Have Skills Strong programming skills in Python (PyTorch, TensorFlow, JAX, or equivalent). Experience in training and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, or Mixtral . Expertise in Generative AI techniques , including Diffusion Models (e.g., Stable Diffusion, DALL-E, Imagen), GANs, VAEs . Hands-on experience with transformer-based architectures (e.g., Vision Transformers, BERT, T5, GPT, etc.) . Experience with MLOps frameworks for scaling AI applications (Docker, Kubernetes, MLflow, etc.). Proficiency in data preprocessing, feature engineering, and AI pipeline development . Strong background in mathematics, statistics, and optimization related to deep learning. Good-to-Have Skills Experience in NeRFs (Neural Radiance Fields) for 3D generative AI . Knowledge of AI for Architecture, Engineering, and Construction (AEC) . Understanding of distributed computing (Ray, Spark, or Tensor Processing Units). Familiarity with AI model compression and inference optimization (ONNX, TensorRT, quantization techniques) . Experience in cloud-based AI development (AWS/GCP/Azure) . Benefits Work on high-impact AI projects at the cutting edge of Generative AI . Competitive salary with growth opportunities. Access to high-end computing resources for AI training & development. A collaborative, research-driven culture focused on innovation & real-world impact . Flexible work environment with remote options. Show more Show less

Seeking a Lead Data Scientist to build AI-driven solutions for clinical decision support, chronic disease management, and patient risk prediction. Requires 8+ years in data science, ML/DL expertise & healthcare AI experience. US Healthcare exp must

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 17th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 17th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: Senior Machine Learning Engineer Location: On Site / [Gurgaon, India] Experience: 5+ Years Type: Full-time / Contract About the Role We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines. This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills. Key Responsibilities Design, build, and deploy machine learning models to solve real-world business problems Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows Develop and optimize scalable data pipelines to support model development and inference Implement model retraining, versioning, and performance tracking in production Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards Continuously evaluate new ML techniques and tools to improve accuracy and efficiency Document processes, experiments, and findings for reproducibility and team knowledge-sharing Requirements 5+ years of hands-on experience in machine learning, applied data science, or related roles Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.) Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI , or similar Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) Strong understanding of software engineering principles and experience with Git, CI/CD, and version control Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases Excellent problem-solving, communication, and collaboration skills Nice to Have Experience with LLMs, Generative AI , or transformer-based models Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform) Experience working in regulated industries (e.g., finance, healthcare) Contributions to open-source projects or ML research papers Why Join Us Work on impactful problems with cutting-edge ML technologies Collaborate with a diverse, expert team across engineering, data, and product Flexible working hours and remote-first culture Opportunities for continuous learning, mentorship, and growth Show more Show less

As an AI Engr I here at Honeywell, you will be responsible for supporting the design, development, and implementation of AI solutions. You will work closely with senior AI engineers and cross-functional teams to contribute to innovative projects that address business challenges and drive technological advancements. In this role, you will impact the development of AI algorithms and models, contributing to the integration of AI solutions into existing systems and processes. Your work will support the continuous improvement of AI technologies and help drive Honeywell's commitment to innovation. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.As an AI Engr I here at Honeywell, you will support the design, development, and implementation of AI solutions, working with senior engineers and cross-functional teams on innovative projects.You will report directly to our [Title] and you'll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Experience in AI-related technology projects Strong expertise in machine learning and deep learning technology WE VALUE Advanced degrees in Computer Science, Artificial Intelligence, or related fields Proficiency in programming languages such as Python, TensorFlow, and PyTorch Experience working in an agile development environment Ability to work in a fast-paced and dynamic environment Attention to detail and excellent problem-solving capability Key Responsibilities Assist in the design and development of AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes Support the implementation and testing of AI solutions Stay up-to-date with the latest AI technologies and trends Contribute to the continuous improvement of AI development processes About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Show more Show less

As an AI Engr I here at Honeywell, you will be responsible for supporting the design, development, and implementation of AI solutions. You will work closely with senior AI engineers and cross-functional teams to contribute to innovative projects that address business challenges and drive technological advancements. In this role, you will impact the development of AI algorithms and models, contributing to the integration of AI solutions into existing systems and processes. Your work will support the continuous improvement of AI technologies and help drive Honeywell's commitment to innovation. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.As an AI Engr I here at Honeywell, you will support the design, development, and implementation of AI solutions, working with senior engineers and cross-functional teams on innovative projects.You will report directly to our [Title] and you'll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Experience in AI-related technology projects Strong expertise in machine learning and deep learning technology WE VALUE Advanced degrees in Computer Science, Artificial Intelligence, or related fields Proficiency in programming languages such as Python, TensorFlow, and PyTorch Experience working in an agile development environment Ability to work in a fast-paced and dynamic environment Attention to detail and excellent problem-solving capability Key Responsibilities Assist in the design and development of AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes Support the implementation and testing of AI solutions Stay up-to-date with the latest AI technologies and trends Contribute to the continuous improvement of AI development processes About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Position: AI Lead – Generative AI Location : Navi Mumbai (Onsite) Engagement Type : Full-Time Experience Required : 4–6 Years Department : Artificial Intelligence Who We Are LinkCxO – The Exclusive Platform for Senior Leaders & CxOs LinkCxO is a premium, AI-powered platform built exclusively for senior and C-suite professionals. We aggregate high-quality business insights, industry-specific content, senior-level job opportunities, and curated executive events—delivered in one trusted space. Why LinkCxO? 🌐 30,000+ Verified Senior Members across industries 🧠 AI-Aggregated Business Insights from thousands of trusted sources 📅 Executive-Only Events : Conferences, webinars, and leadership roundtables 💼 10,000+ CxO/Senior-Level Jobs , curated and refreshed regularly 🤝 Exclusive Network for hiring, learning, collaboration, and brand visibility The Problem CxOs today are overwhelmed with scattered information, irrelevant events, and fragmented job platforms—none designed with their needs in mind. Our Solution LinkCxO offers a streamlined, AI-led, personalized platform that empowers senior professionals to explore jobs, insights, and events in one curated and verified space. Role Overview We are seeking a visionary and hands-on AI Lead – Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You’ll lead initiatives involving LLMs , RAG pipelines , multimodal models , and more—shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you’ll work closely with the Founders , Product , and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India’s senior leadership. Key Responsibilities 🧠 Strategy & Leadership Define and execute the Generative AI roadmap aligned with business goals Build and lead a team of ML engineers, data scientists, and AI researchers Partner with Product, Design, and Tech teams for scalable AI integration 🔧 Technical Execution Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, Diffusion, RAG) Optimize model performance, latency, and cost in production environments Implement MLOps pipelines for training, deployment, monitoring, and iteration 🔬 Research & Innovation Stay updated with cutting-edge developments in generative and multimodal AI Experiment with open-source and proprietary models; contribute to patents/publications Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups ✅ Governance & Ethics Ensure AI systems are built with fairness, explainability, and ethical best practices Maintain compliance with data privacy laws and responsible AI principles Required Skills & Qualifications Master’s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline Strong understanding of Transformers, GANs, VAEs, Diffusion Models Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs Proven experience in training or fine-tuning large-scale LLMs or foundation models Hands-on MLOps experience in model deployment and scaling Strong problem-solving skills and product-oriented mindset Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) or agent-based systems Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures Contributions to open-source projects or AI research communities What We Offer 💡 A high-impact role in a fast-scaling, AI-first platform 🌍 Opportunity to shape how executives experience AI-driven insights and interactions 🧠 Cross-functional collaboration with strategic mentors and domain experts 🚀 Ownership and autonomy in building next-generation AI products from scratch Leadership You’ll Collaborate With 👔 Rajesh Padmanabhan – Chief Mentor Former CHRO at Capgemini, Vedanta & Welspun | UN Awardee for D&I 💡 Gyanesh Kumar – Founder & CEO Ex-CBO at Shine.com | Founder of ExoTalent & LeadersEdge | ISB & IIM Ahmedabad alumnus 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive search with deep domain focus in manufacturing & automotive 📊 Sumit Jha – Advisor – Chief Analytics Officer 18+ years in AI/ML across India, US & Europe | IIT-Kharagpur, IIM Shillong 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach ICF-Certified | 800+ hours coaching | Featured in NDTV, TOI, CNBC Awaaz Show more Show less

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Director, AI/ML Technology and Architecture at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry. Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency. You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision. This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally. If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact. AI/ML Architecture & Strategy Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems. Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies. Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization. Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies. Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain. AI/ML Platform & Infrastructure Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring. Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery. Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management. Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform. Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability. AI/ML Model Development & Deployment Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection. Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring. Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process. Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance. Drive the adoption of AI/ML models across the organization through clear communication, training, and support. Team Leadership & Management Lead and mentor a high-performing team of AI/ML engineers and architects. Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth. Recruit, hire, and onboard top talent in the field of AI/ML. Provide guidance and support to team members on technical challenges and career development. Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness. Governance and Compliance Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies. Define processes for monitoring, auditing, and improving AI models in production. Advocate for responsible AI practices within the organization. Qualifications & Experiences Academic Qualifications: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university. Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus. Professional Experience 12+ years of experience in AI/ML technologies, with at least 8+ years in a leadership role overseeing large-scale AI/ML projects and teams. Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry. Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.). Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures. Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations. Technical Skills Expertise in AI/ML model development, architecture design, and advanced analytics. Deep understanding of cloud-native AI technologies, big data systems, and distributed computing. Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD). Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries. In-depth knowledge of data engineering, data pipelines, and data lake architecture. Other Skills Exceptional leadership and people management skills, with experience managing cross-functional teams. Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders. Deep understanding of AI ethics, privacy, and governance principles. Strong problem-solving abilities, with a passion for innovation and creativity. Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

Job Title: Founding AI Solutions Architect About the Role: We are looking for a visionary Founding AI Solutions Architect to define, design, and implement advanced AI solutions across our entire product ecosystem. You will extend beyond LLM-focused solutions, overseeing comprehensive AI strategies, model selection, and end-to-end system architecture. Responsibilities: Identify and articulate strategic AI opportunities across diverse business use-cases. Evaluate, recommend, and architect holistic AI solutions, incorporating large language models (LLMs), computer vision, predictive analytics, and other advanced techniques. Develop technical blueprints, architecture diagrams, and proof-of-concept prototypes to validate solutions. Select optimal AI models, platforms, and infrastructure aligned with business objectives and scalability. Collaborate with engineering teams to guide implementation, integration, and optimization of AI solutions. Continuously research emerging AI technologies and recommend strategic adaptations. Qualifications: Extensive experience designing, architecting, and deploying scalable AI-driven systems. Deep expertise across multiple AI domains including NLP, computer vision, predictive modeling, and generative AI. Proficiency in cloud infrastructure (AWS, GCP, Azure) and AI services. Strong programming skills (Python, Java, or equivalent) and familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs. Demonstrated capability in translating complex business problems into robust technical architectures. Startup experience or entrepreneurial background strongly preferred. What We Offer: High-impact foundational role with significant autonomy and influence. Opportunity to architect and scale groundbreaking AI solutions. Competitive compensation package including substantial equity. Supportive, innovative, and agile team culture. Show more Show less

Job Title: Artificial Intelligence Engineer Company: Humanoid Maker Location: Delhi Type: Full-Time Experience: 1–5 years Industry: Artificial Intelligence / Software Development / Robotics About Us: Humanoid Maker is a fast-growing innovator in AI, robotics, and automation solutions. We specialize in AI-powered software, robotic kits, refurbished IT hardware, and technology services that empower startups, businesses, and institutions across India. Our mission is to build intelligent systems that simplify lives and boost productivity. Role Overview: We are looking for a skilled and creative Artificial Intelligence Engineer to join our AI development team. This role involves building, training, and deploying machine learning models for various use cases including voice synthesis, natural language processing, computer vision, and robotics integration. Key Responsibilities: Develop, train, and fine-tune machine learning and deep learning models for real-world applications. Work on projects related to NLP, speech recognition, voice cloning, and robotic intelligence. Build APIs and tools to integrate AI features into applications and hardware systems. Optimize models for performance and deploy them in edge, desktop, or server environments. Collaborate with UI/UX and backend developers for full-stack AI system integration. Conduct data preprocessing, feature engineering, and dataset management. Continuously research and experiment with the latest AI advancements. Key Skills & Requirements: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–5 years of hands-on experience in developing AI/ML models. Strong knowledge of Python, PyTorch, TensorFlow, scikit-learn, etc. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy), and/or CV frameworks (OpenCV, YOLO). Familiarity with APIs, web frameworks (Flask/FastAPI), and databases (SQL or NoSQL). Bonus: Experience in robotics integration or embedded AI (Arduino/Raspberry Pi). What We Offer: Competitive salary based on experience. Opportunity to work on cutting-edge AI and robotics projects. Friendly and innovative team environment. Career growth in a rapidly expanding AI company. Access to high-performance computing tools and training resources. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Benefits: Paid sick time Supplemental Pay: Commission pay Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: AI: 1 year (Required) Language: Hindi (Required) Work Location: In person

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Job Description- GCP Cloud Architecture. Model Deployment Lifecycle Knowledge of creating Training & Serving Pipeline Familiar with any one of workflow: Kubeflow, Airflow, ML Flow, Argo etc" Strong in Python Adequate SQL skill Must have skill : Python, SQL, ML Engineer (Model Deployment/MLOPS), ML Pipeline-(Kubeflow, Airflow Flow, Argo etc,) Preferred Skill: Pytorch, TensorFlow, Exp in hiper scaler/Cloud Service, Deep learning framework, Reinvent your world.¿We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About the Role : We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience : 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise : Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages : Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation : Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development : Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms : Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps : Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing : Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

-Experience in deploying and optimising LLMs. -Expertise in AI/ML frameworks and inference engines (PyTorch, ONNX Runtime, TensorRT-LLM, vLLM, DeepSpeed). -Hands-on experience with Docker, Kubernetes -Familiarity with code generation, RAG workflows.