234 Pytorch Jobs in Uttar Pradesh - Page 8

ABOUT JOB A. Designation: Assistant Professor B. Job Purpose & Role: To teach, research and serve the Institution for academic, institutional & student’s growth & development. C. WORK Responsibilities: C.1 LEARNING & TEACHING To develop and teach undergraduate and graduate courses in CORE Computer Science & Allied courses. Command on Subjects like: Programming Fundamentals via language C/C++, JAVA, Python Data Structures & Algorithms Operating Systems Computer Architecture & Organisation Object Oriented Programming (OOP) Software Engineering Design & Analysis of Algorithms Computer Networks, Compiler Designs, DevOps Artificial Intelligence, Machine Learning Deep Learning, Natural Language Processing, Computer Vision, or related areas. etc. Proven experience of teaching new age subjects like Cybersecurity, Big Data Analytics, IoT, Cloud Computing, Blockchain Technology, AVR (Augmented & Virtual Reality) with a commitment to innovative pedagogical approaches. Have an ability to stay abreast on the latest emerging trends and technologies in AI/AIML/DS such as reinforcement learning, generative models, or ethical AI. To stay abreast of developments in the field of AI through continuous learning, attending conferences, and networking with peers. Proven e xperience with software development and programming languages commonly used in AI research, such as Python, TensorFlow, PyTorch, or similar tools. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students by active or activity based learning, real-life problem solving approaches in content delivery and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To meaningfully engage students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To ensure Quality (NBA, ISO, NAAC, NIRF) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities and ensure understanding of education regulatory bodies like UGC / AICTE C.2 RESEARCH To conduct cutting-edge research in AI, Data Science, AIML, Core CSE , publish findings in reputable journals and conferences, and pursue external funding to support research activities. To supervise and mentor graduate students, providing guidance and support in their research endeavours To collaborate with industry partners to apply AI/AIML techniques to real-world problems and foster technology transfer. To have an ability to secure external research funding and lead research projects independently or collaboratively. Proven experience in working with interdisciplinary research teams or collaborating across departments. To facilitate in connecting industry with academia for providing hands on experience leading to skill development of students. To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. C.3 GL Bajaj’s Citizenship and Ownership of Responsibilities To participate in continuing professional development e.g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, trainingactivities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajaj’s values throughown actions and behaviour . To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure and promote the personal health,safety and wellbeing of staff and students. To carry out duties in a way which promotes fairnessin all matters , and which engenders trust. D. APTITUDE & SKILLS D.1 Functional Skills Passionate Academician/Researcher Competency of Nurturing Students Excellent interpersonal & content delivery skills. Ability to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International Highly developed communication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adopt new procedures as and when required C/C++, JAVA, Architecture, Algorithms, Data Structures, Artificial Intelligence & Machine Learning, Cybersecurity, IoT, Cloud Computing, BlockChain, Automata, theory of computation, Software Programming - SDLC etc. D.2 Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High emotional intelligence E. Qualification & Years of Experience as per AICTE/UGC norms: B.Tech & M.Tech – IT/CSE from Top tier Institutes & reputed universities; throughout first class 0-4 years of experience in teaching/ research PhD or PhD (Pursuing) candidates from Top Institutes will be preferred Industry Experience is desirable. F. Salary as per norms G. Location: Greater Noida, Delhi/NCR H. Apply for the position by sending your CV on careers@glbitm.ac.in I. You may visit our website’s career page at www.glbitm.org Show more Show less

Experience Range: 5-8 Years Location: Noida Job Summary We are seeking a Senior Full-Stack Developer to join our Architecture Practice. In this role, you will design and develop AI-powered applications using Python, .NET Core, Angular, and Azure. You will work on integrating AI models, building scalable cloud-native systems, and leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate development. This is a hands-on role at the intersection of full-stack engineering and AI innovation, including agentic AI, AI-assisted SDLC, and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Stream lit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality. Automate testing, code analysis, and deployment using CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers on AI/ML integration and modern development practices. Contribute to architectural decisions and technical strategy. Required Skills & Qualifications 5-8 years of experience in web-based application development. Mandatory 5+ years of full-stack development experience with Python and .NET Core. 3+ years of frontend development using Angular, TypeScript, and RxJS. Hands-on experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production applications. Proficiency in Azure cloud services (App Services, Functions, Azure SQL). Preferred Experience with AI coding tools like GitHub Copilot or CodeWhisperer. Familiarity with Streamlit for AI/ML UI prototyping. Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude). DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC). Education and Experience Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience). 5–8 years of hands-on development experience, including 2+ years in AI/ML projects. Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred). Why Join Us? Build AI-first applications using cutting-edge tools like GitHub Copilot, Azure AI, and Stream lit. Drive innovation in the software development lifecycle through AI automation and pair programming. Collaborate with a forward-thinking architecture team and grow into technical leadership roles. Enjoy a collaborative, innovation-driven culture with opportunities for continuous learning. Skills: .net core,code,azure cloud,ml,azure,software development life cycle (sdlc),ai/ml projects,.net,models,python,docker,rxjs,cloud,github copilot,ai/ml,stack,ai/ml integration,github,infrastructure as code (iac),ai applications,typescript,fullstack development,ci/cd,azure machine learning,streamlit,angular,technical leadership Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Develop ML models, platforms, and services for Adobe Express, covering the entire ML lifecycle. About The Team The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What You'll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic Qualifications: PhD or Master’s or Bachelor’s in Computer Science or equivalent experience, ML, Applied Mathematics, Data Science, or a related technical field. 14+years of industry experience. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Summary We are seeking a Senior Full-Stack Developer to join our Architecture Practice at Xceedance. In this role, you will design and develop AI-powered applications using Python, .NET Core, Angular, and Azure. You will work on integrating AI models, building scalable cloud-native systems, and leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate development. This is a hands-on role at the intersection of full-stack engineering and AI innovation, including agentic AI, AI-assisted SDLC, and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Stream lit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality. Automate testing, code analysis, and deployment using CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers on AI/ML integration and modern development practices. Contribute to architectural decisions and technical strategy. Required Skills & Qualifications 5-8 years of experience in web-based application development. Mandatory 5+ years of full-stack development experience with Python and .NET Core. 3+ years of frontend development using Angular, TypeScript, and RxJS. Hands-on experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production applications. Proficiency in Azure cloud services (App Services, Functions, Azure SQL). Preferred Experience with AI coding tools like GitHub Copilot or CodeWhisperer. Familiarity with Streamlit for AI/ML UI prototyping. Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude). DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC). Education and Experience Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience). 5–8 years of hands-on development experience, including 2+ years in AI/ML projects. Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred). Show more Show less

Experience : 3.00 + years Salary : USD 18000-30000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Description We are seeking a talented Generative AI Developer to join our team and build cutting-edge generative models. The ideal candidate will work on developing AI systems that can create innovative, human-like content, ranging from natural language generation (NLG), image generation, and even video or music synthesis. The candidate requires to carry expertise in machine learning, deep learning, and natural language processing (NLP), as well as an understanding of specific generative models like GPT, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other types of neural networks. Responsibilities Develop and fine-tune generative models using techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformers, Diffusion models, etc. Work on tasks such as text generation, image generation, music or sound generation, video creation, and other creative AI applications. Design, build, and deploy models using frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. Optimize AI models for performance, accuracy, and scalability in real-world production environments. Research and stay updated on the latest trends, papers, and breakthroughs in generative AI. Collaborate with other teams (data scientists, machine learning engineers, product teams) to integrate models into production systems. Work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Document your code, process, and model outputs for team-wide visibility and knowledge sharing. Required Qualifications & Skills Bachelor's or Master's degree in Computer Science or related fields. 3-4 years of hands-on experience in developing Generative AI solutions Strong understanding of deep learning algorithms, especially in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. Experience working with neural networks, unsupervised learning, and natural language processing (NLP). Strong programming skills in Python, including deep learning libraries (e.g., TensorFlow, Keras, PyTorch). Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. Strong mathematical and statistical knowledge, particularly in probability theory, linear algebra, and optimization. Experience in large-scale model training, fine-tuning, or distributed computing. Knowledge of reinforcement learning (RL) and self-supervised learning. Familiarity with AI ethics, bias mitigation, and interpretability in generative models. Show more Show less

Role Description This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals. Key Responsibilities Conduct complex data analyses to identify trends, patterns, and insights. Utilize statistical methods and machine learning techniques to forecast future trends. Advanced analytics, machine learning, AI Model development, training, and deployment (MLOps) Business insights using statistical and predictive modelling. Building scalable, reliable data pipelines Creating and managing data lakes, data warehouses ETL/ELT workflows Ensuring data quality, governance, and lineage. Dedicated leadership (Practice Head or CoE Lead). Defined service offerings and case studies. Reusable assets and accelerators and regular internal training and certifications. Client wins and repeatable success stories. Required Skills And Qualifications 7+ years of experience as a Data Scientist or ML Engineer. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, Lang Chain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. (ref:hirist.tech) Show more Show less

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We’re Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). We are looking for candidates with 2-4 years of proven experience. Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #DVT Show more Show less

Design, develop, and train ML/DL models for classification, regression, and generative tasks. Work with LLMs and GenAI tools such as GPT, BERT, Stable Diffusion, or DALL·E. Fine-tune pretrained models on custom datasets for NLP, CV, or audio tasks. Perform data wrangling, preprocessing, and augmentation for model readiness. Assist in building pipelines for training, evaluation, and deployment of models. Stay updated on the latest AI/ML/GenAI research and tools. Collaborate with research and product teams to integrate intelligent features into applications. Requirements Solid knowledge of Python and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Understanding of ML concepts: supervised/unsupervised learning, overfitting, bias/variance, etc. Exposure to NLP or Computer Vision techniques. Familiarity with transformer models (e.g., GPT, BERT) and prompt engineering. Experience using Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Basic knowledge of model evaluation (accuracy, precision, recall, F1-score). Good communication and teamwork skills. Show more Show less

Position : AI-ML Engineer Company Name : Cyfuture India Pvt. Ltd. Experience : 2-4 years Location : Noida, Sector 81, NSEZ (5 days WFO) Cyfuture is the leading Cloud/Managed Service Provider of Cloud Services from its Data Centers in India and Managed Services on AWS, Azure, VMWare Platforms. We are growing in areas of System Integration, Managed Services and hence would like to strengthen its partnership with worlds leading OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, Palo Alto etc. Position Overview We are seeking an experienced and dynamic professional with 2+ years of expertise in Artificial Intelligence (AI) and Machine Learning (ML) to spear head our AIML team. As the leading member of the AIML team, you will play a pivotal role in shaping and executing our AIML strategies and initiatives. You will oversee a talented team of data scientists and engineers, driving innovation and delivering state-of- the-art AIML solutions that solve complex business : Define and execute the AIML strategy, aligning it with business objectives and market trends. Collaborate with cross-functional teams to identify and prioritize AIML opportunities that drive business value. Oversee the design, development, and deployment of AIML models, ensuring scalability, efficiency, and accuracy. Manage operation and deployment of LLMs in production environments. Monitor system performance and resolve bottlenecks of cloud infra issues. Build and maintain infrastructure for distributed training and inferencing of LLMs using tools like Kubeflow, Kubernetes, or other orchestration frameworks. Manage GPUs resources efficiently to support large-scale training and inferencing tasks. Develop and manage end-to-end ML pipelines using Kubeflow or any other tool to streamline data preprocessing, model training, testing, and deployment. Hands-on experience with (Good to have - Kubeflow, OLama, vLLM), Kubernetes, and Docker (Mandatory) Automate workflows for reproducibility and scalability using Kubeflow/MLRun Pipelines. Create and optimize RAG pipelines for low latency, scalability, and high retrieval accuracy. Requirements Bachelors or Masters degree in Computer Science, Data Science, or a related field preferably from Tier 1 institute. 2+ years of experience in ML and AI, with a strong track record of leading and delivering complex ML and AI projects. In-depth knowledge of ML and AI concepts, algorithms, and techniques, including supervised and unsupervised learning, reinforcement learning, and neural networks. Proficiency in programming languages such as Python, R, or Scala, along with ML and AI libraries and frameworks (e.g., Tensor Flow, PyTorch). Experience in applying ML and AI techniques to solve real-world problems in areas such as recommendation systems, fraud detection, natural language processing, or computer vision. Proven ability to translate business requirements into ML and AI solutions and effectively communicate technical concepts to non-technical stakeholders. Tech stack : C++, Python, DB- Relational DB and Non-relational both, AI/ML frameworks and libraries (Tensor flow, Pytorch etc), Knowledge of Cloud Platforms (Azure, AWS), Knowledge of Machine learning, NLP and AI domains, Knowledge of APIs, Proficiency with MLOps, CI/CD you are an experienced ML and AI professional with a passion for driving innovation and leading high- performing teams, this is an exciting opportunity to join our organization. We offer a competitive salary, comprehensive benefits package, and a supportive work environment that fosters growth and professional development. (ref:hirist.tech) Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, jax, Reinforcement Learning, Scikit-learn, Pytorch, TensorFlow, AWS, Docker, NLP, Python An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Title: AI Engineer Company: Seceon Experience: 3+ Years Employment Type: Full-time About Seceon At Seceon , we are redefining cybersecurity with innovative AI-powered threat detection and response solutions. Our mission is to enable organizations to proactively secure their digital infrastructure through intelligent automation, real-time analytics, and machine learning. Join our growing team to work on cutting-edge technologies that protect businesses from evolving cyber threats. Role Overview We are looking for a skilled AI Engineer with 3+ years of experience to join our dynamic R&D team. The ideal candidate will be responsible for designing, developing, and implementing AI/ML models that enhance our cybersecurity products and services. This role offers the opportunity to work on real-world problems in anomaly detection, behavioral analytics, and threat intelligence. Key Responsibilities Design and develop AI/ML models for threat detection, anomaly detection, and behavior analysis. Collaborate with cybersecurity experts to define intelligent use cases for security automation. Work with large datasets to train, validate, and deploy machine learning models in production. Optimize model performance and ensure scalability across platforms. Integrate AI models with Seceon’s platform for real-time threat analysis and decision making. Stay updated with the latest research and advancements in AI, machine learning, and cybersecurity. Required Skills and Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 3+ years of hands-on experience in machine learning, deep learning, or artificial intelligence. Proficiency in Python, with experience in ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Strong understanding of algorithms, statistics, and data modeling. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with cybersecurity concepts and data (network logs, threat intelligence, SIEM data) is a strong plus. Show more Show less

Role Overview We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying intelligent systems that enhance our platforms through advanced AI and machine learning techniques. Your work will directly contribute to the development of scalable, efficient, and intelligent solutions that solve real-world problems and align with our organizational goals. Key Responsibilities Design and develop custom AI models and machine learning algorithms. Implement AI-driven features and integrate them into existing systems to enhance user experience and business processes. Manage data pipelines and infrastructure for AI development and deployment. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Monitor, evaluate, and continuously improve the performance of deployed AI models. Stay up-to-date with the latest advancements in artificial intelligence and propose innovations to existing workflows and systems. Must-Have Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field. Proven experience in developing and deploying machine learning, deep learning, NLP, or computer vision solutions. Proficiency in programming languages such as Python, Java, or R. Hands-on experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, etc. Strong analytical and problem-solving abilities. Ability to work collaboratively in a fast-paced, team-oriented environment. Nice-to-Have Skills Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Familiarity with MLOps practices and tools (Docker, Kubernetes, CI/CD). Prior experience in deploying real-time or edge AI applications. (ref:hirist.tech) Show more Show less

Job Description We're building the most personalized and intelligent news experiences for Indias next 750 million digital users. As our Principal Machine Learning (ML) / Personalization Engineer, you will : Architect and deploy ML-based personalization systems for our suite of digital news products, including recommender systems for content ranking, homepage personalization, push notification targeting, and audience segmentation. Collaborate closely with editors, product managers, and analysts to integrate machine learning into the editorial workflowmaking content creation, packaging, and distribution smarter and audience-aware. Analyze user behavior and content consumption patterns using large-scale datasets to build user understanding models and inform personalization strategies. Own the end-to-end ML pipeline: from data acquisition, feature engineering, model training & evaluation, to deployment and real-time inference. Drive experimentation culture: lead A/B testing and iterative optimization of recommendation and ranking models. Stay on top of global trends in personalization, news AI, large language models (LLMs), and recommendation systems, and bring best-in-class solutions to our stack. Who You Need To Be Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. 812 years of experience in machine learning, ideally in recommendation systems, personalization, or search relevance. Strong experience with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Hands-on with recommendation engines (collaborative filtering, content-based, hybrid models) and vector similarity models. Experience with real-time data processing frameworks and deploying models in production. Solid understanding of SQL and data platforms (e.g., Snowflake, BigQuery, or Redshift). Exposure to BI tools (Metabase, Looker, Tableau) is a plus. Comfortable navigating ambiguous, fast-paced environments and leading cross-functional initiatives. Excellent communication and collaboration skillsable to explain complex ML concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less

Hiring Alert: Senior Data Scientist! 📢 We're seeking a Senior Data Scientist (5-8 years experience) to join our Analytics & AI team in Noida (Sector 62) or Kolkata (New Town) . If you're a results-driven professional with strong machine learning expertise and a passion for solving real-world problems, this is for you! What you'll do: Design, deploy, and optimize ML models. Analyze complex datasets for actionable insights. Collaborate with cross-functional teams to drive data-driven strategies. Stay current with ML trends and present findings. Skills: Proficiency in Python (preferred) or R, with libraries like scikit-learn, XGBoost, TensorFlow, PyTorch . Strong understanding of supervised, unsupervised, and reinforcement learning. This role involves rotational shifts . Ready to make an impact? Share your resume with us at trishita.mistry@empaxis.com #DataScientist #MachineLearning #Python #XGBoost #TensorFlow #PyTorch #NoidaJobs #KolkataJobs #Hiring #JobOpportunity #TechJobs #AI Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About The Team The Adobe Express team is building a path-breaking, all-in-one creative application for all platforms - web, desktop, and mobile. This platform combines the power of Adobe’s creative technologies with intuitive, AI-enhanced workflows that empower anyone to create standout content quickly and effortlessly. The Opportunity We’re looking for a Senior Machine Learning Engineer (Architect) to play a key role in shaping the next generation of AI-powered creative experiences in Adobe Express. This role will build high-impact AI Workflows for Adobe Express in Image editing space. Concentrating on brand new generative AI workflows, including personalized assistants and intelligent creative tools. Speed up AI culture by sharing knowledge, encouraging experimentation, and improving developer efficiency. Experience Requirements: 15+ years of proven experience in hands-on Machine Learning work. As a Machine Learning Engineer, you will: Build and scale advanced ML models to make Image editing easy and seamless for users Develop AI Agents for Adobe Express in Imaging space Partner closely with product, design and engineering teams across Adobe to integrate Adobe’s latest generative AI capabilities user-facing features. Help drive a culture of AI innovation and learning through internal knowledge-sharing, best-practice documentation, and experimentation frameworks that boost team productivity. Detailed Responsibilities: Research, design, and implement advanced ML models and scalable pipelines across training, inference, and deployment stages, using techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows—enabling rich, context-aware, dynamic user experiences. Design, implement, and optimize subagent architectures for supporting modular and intelligent assistance across various creative tasks in Adobe Express. Collaborate with multi-functional teams to translate product requirements into ML solutions—especially those related to Harmony GenAI, smart recommendations, and generative tooling. Contribute to the development of internal platforms for model experimentation, A/B testing, performance monitoring, and continuous improvement. Stay up-to-date with evolving ML/GenAI research, tools, and frameworks—including federated learning, retrieval-augmented generation, and optimization for real-time inference. Champion an AI-first culture by mentoring peers, promoting learning opportunities, and encouraging innovation at both technical and organizational levels. Special Skills Requirements: Proficiency in Python for model development and C++ for systems integration. Strong hands-on experience with TensorFlow, PyTorch, and emerging GenAI toolkits. Experience working with LLMs, agent architectures, and user interfaces powered by AI technology. Deep understanding of computer vision and NLP techniques, especially for multimodal AI applications. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position Summary: Adobe Firefly Gen AI Models and services group seeks passionate machine learning engineers to deliver groundbreaking generative AI experiences. In this role, you'll: Optimize and scale state-of-the-art generative AI models. Deploy AI-driven creative tools that empower millions globally. Solve real-world challenges in AI scalability and production readiness. Job Responsibilities Help architect and optimize large-scale foundation model pipelines in Generative AI Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Collaborate with outstanding Applied researchers and engineers to bring ideas to production Provide technical leadership and mentorship for junior team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 8+ years of experience Excellent communication and technical leadership skills Experience in tech working with a large number of contributors on time-sensitive and business-critical GenAI projects Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: Experience training or optimizing models (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms Good publication record in Computer Science, AI/ML, or related fields Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

About ChemAnalyst : C hemAnalyst is a cloud-based B2B SaaS platform offering real-time pricing and market intelligence for procurement and supply chain professionals. It provides advanced forecasting tools, helping businesses optimize procurement strategies, reduce risks, and improve profitability. Covering over 500+ commodities across six key categories, ChemAnalyst delivers essential insights for informed decision-making. Led by CEO Mr. Karan Chechi, the platform enhances procurement processes, drives cost savings, and streamlines workflows, making it a go-to solution for staying competitive. It has earned accolades like “Product Innovator of the Year”, “Top 100 ProcureTech Solution Provider" and "Procurement Solution Provider of the Year." Website: https://www.chemanalyst.com/ Overview: An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. Key Responsibilities: 1. AI Model Development: Design and develop state-of-the-art AI and ML models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, recommendation systems, and more. 2. Data Preprocessing: Clean, preprocess, and transform raw data to ensure its suitability for AI model training and analysis. This may involve handling missing values, feature engineering, and data normalization. 3. Model Training and Validation: Use various machine learning frameworks and libraries to train AI models on large datasets. Validate and fine-tune models to achieve optimal performance and accuracy. 4. Deployment and Integration: Integrate AI models into data intelligence platforms and ensure seamless deployment in production environments, making them accessible to end-users. 5. Performance Monitoring and Optimization: Continuously monitor the performance of deployed models and optimize them as needed to adapt to changing data patterns and business requirements. 6. Data Visualization: Create meaningful and intuitive visualizations to communicate complex data insights to stakeholders effectively. 7. Collaborate with Cross-Functional Teams: Work closely with data engineers, data scientists, product managers, and other stakeholders to understand business needs and align AI solutions with the company's objectives. 8. Stay Updated on AI/ML Trends: Keep abreast of the latest advancements in AI/ML technologies, industry trends, and best practices to ensure the organization remains at the forefront of innovation. Skills and Qualifications: - Strong educational background in computer science, data science, artificial intelligence, or a related field (Master's or Ph.D. preferred). - Extensive experience in developing AI and ML models, ideally in a data intelligence or analytics-focused company. - Proficiency in programming languages such as Python, R, or Java, along with familiarity with popular AI/ML libraries like TensorFlow, Keras, PyTorch, and scikit-learn. - Expertise in handling and analyzing large datasets, using tools like SQL, Spark, or Hadoop. - Deep understanding of various machine learning algorithms and statistical methods. - Experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services. - Excellent problem-solving and analytical skills, with the ability to translate business requirements into AI solutions. - Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Required Experience: 2-4 Years Work Location: Noida (On-site) If interested kindly share your cv to babita.pathak@techsciresearch.com Show more Show less

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You – Experience, Education, Skills, And Accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, It Would Be Advantageous If You Have Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About The Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Show more Show less

Job Title: Data Scientist SDE-2, SDE-3 & SDE-4 (Staff Data Scientist) Location: Noida & Bangalore Job Type: Full Time About us: PhysicsWallah is an Indian online education technology startup based in Delhi, originally created as a YouTube channel in 2014 by Mr. Alakh Pandey. We are the first company aiming to build an affordable online education platform for each Indian student who dreams of IIT & AIIMS but is unable to afford the existing offline/online education providers. We provide e-learning via our YouTube Channel and PhysicsWallah App/Website by providing lectures for JEE Mains and Advanced level, NEET and Board Exams. We are India’s first most viewed Educational channel on Youtube. YouTube Channel- https://youtube.com/c/PhysicsWallah About the Role: Qualification & Eligibility: Bachelor's or higher degree in a quantitative discipline (computer science, statistics, engineering, applied mathematics) Working Experience: SDE-2: 3 to 5 Years SDE-3: 5 to 7 Years SDE-4 (Staff): 7 to 10 Years Startup experience preferred, Edtech work experience bonus Roles & responsibilities: Help teams understand what data science can do for them and set the right expectations. Use deep learning, machine learning, and analytical methods to create scalable solutions for business problems. Create innovative solutions and applications utilising advanced NLP algorithms/architectures including (but not limited to ) LLMs for tasks such as text generation, summarization, translation, entity extraction and concept recognition, clustering, and more. Contribute to the execution of our vision for NLP-based technology solutions using various NLP toolkits like Huggingface, Spacy, CoreNLP, OpenNLP, etc. Perform relevant data analysis and benchmark the NLP solutions to improve our offerings. Be able to clearly communicate results and recommendations to various stakeholders. Evaluate the effectiveness of the solutions and improve upon them in a continuous manner. We expect one to have a mix of a strong technical background, the ability to understand the business implications of their work, and the ability to empathise with our users and work towards helping PhysicsWallah give them the best experience. Help and mentor junior members to become better data scientists. Skill Sets: Experience in building NLP (ML/DL) models. Strong foundational knowledge in transformers ( BERT, GPTs, T5s, etc.), embedded. Expertise in SQL and Python is a must. Hands-on experience with latest GenAI modelling (GPTs, Mistral, Falcon, and LLama) and approaches (RAG, Langchain, etc.). Experience using machine learning (structured, text, audio/video data) libraries (preferably in Python), deep learning (Tensorflow, PyTorch) Good to have: Foundational knowledge of any cloud (AWS/Azure/GCP) Expertise in querying relational, non-relational, graph databases. Experience in big data technologies (Spark, MapReduce, Pig, and Hive) Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data & AI Strategy - Associate Director, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Director – Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data & AI Key Skills Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance. Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing). Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 15-17 years of total experience with 10+ years in Data Strategy and architecture field 15-17 years of total experience with 7+ years in AI Strategy & implementation. Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less