234 Pytorch Jobs in Uttar Pradesh - Page 3

Key Responsibilities: Design, develop, and deliver comprehensive training programs in Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI concepts Conduct classroom and virtual instructor-led training sessions for students, professionals, and internal teams Create training materials, hands-on lab sessions, and project-based modules using real-world datasets and case studies Train participants on the use and deployment of GenAI solutions on cloud platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock, etc.) Stay updated with the latest trends in AI/ML, LLMs, and GenAI tools such as LangChain, Pinecone, OpenAI, Hugging Face, and more Mentor learners on deploying AI agents, building prompt-based applications, and developing end-to-end GenAI systems Collaborate with curriculum designers, product teams, and industry experts to ensure high-quality content delivery Track learner progress, provide feedback, and support certification readiness Key Skills Required: Technical Skills: Strong understanding of Artificial Intelligence, Machine Learning, and Deep Learning concepts Hands-on experience with Generative AI tools and frameworks (OpenAI GPT, Claude, Gemini, LangChain, LlamaIndex) Experience in building and deploying Agentic AI applications and workflows Proficiency with cloud-based GenAI platforms: Microsoft Azure, Google Cloud Platform , Amazon Web Services (AWS) Programming in Python, with experience in TensorFlow, PyTorch, Transformers, LangChain, etc. Familiarity with ML model lifecycle, MLOps, API integrations, vector databases, and prompt engineering.

Job Summary We are seeking a Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions. Key Responsibilities Data Analysis & Exploration Perform comprehensive exploratory data analysis (EDA) on large datasets. Identify patterns, trends, and anomalies in data. Conduct statistical analysis to validate business hypotheses. Create data visualizations to communicate findings effectively. Assess and ensure data quality and integrity. Write complex SQL queries to extract and manipulate data Machine Learning & Modeling Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc) Implement supervised and unsupervised learning algorithms Perform feature engineering and selection Evaluate model performance using appropriate metrics Deploy and monitor machine learning models in production Programming & Development Develop data analysis scripts and automation tools using Python Build data pipelines and ETL processes Create reusable code libraries and functions Maintain version control and documentation standards Required Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization Python: Strong programming skills in Python for data analysis and machine learning Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design Knowledge of any cloud like AWS, GCP or Azure is good to have Must have experience working on ML Algorithm’s including - Random Forest, XGBoost and Neural networks. Familiarity with version control systems Experience with containerization and deployment tools Good to Have:- Worked on GenAI based Projects Using GenAI for driving productivity in your work. Knowledge of PySpark is a plus Must have Frameworks: Scikit Learn Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow

About Us: At Captivue.ai and Hrontips.com, we don't just talk about AI - we reinvent it. From RAG model training to deploying real-world AI solutions, we're building the future, one breakthrough at a time. If you're tired of corporate monotony and want to work with a team that moves fast, breaks things, and actually innovates, this is your playground. Oh, and here's the fun part - you'll be applying through Captivue, our AI-powered interview platform. No boring HR screenings, just smart, tech-driven hiring. (Yes, we practice what we preach.) What You'll Do: 🔹 Build, fine-tune, and deploy RAG-based AI models that solve real problems 🔹 Experiment with cutting-edge NLP, LLMs (Llama, GPT, Mistral), and vector databases 🔹 Crunch data, optimize performance, and make AI models smarter, faster, and more intuitive 🔹 Work alongside a high-energy team that values hustle over hierarchy 🔹 Push boundaries - because "good enough" isn't in our vocabulary Who You Are: ✅ BTech degree in Computer Science, Data Science, or related technical field ✅ 1-3 years of hands-on experience in ML/NLP, Python, and deep learning (PyTorch/TensorFlow) ✅ Worked with RAG architectures, LLM fine-tuning, or generative AI - bonus if you've tinkered with LangChain, Pinecone, or similar ✅ A curious, problem-solving mindset - you don't just follow tutorials, you build beyond them ✅ No corporate zombies - we want thinkers, experimenters, and doers ✅ Excited about AI's real-world impact (not just publishing papers) Why Join? ✨ Zero bureaucracy - your ideas get implemented, not stuck in meetings ✨ Work on bleeding-edge AI - no legacy tech, no slow-moving projects ✨ Get evaluated by our AI platform (Captivue) - fair, fast, and bias-free hiring ✨ Flexible, high-energy culture - we reward creativity, not just tenure Ready to Skip the HR Hassle? Apply with confidence, our AI interview platform will assess your skills, not your resume fluff. Show us what you've built, and let's change the future together

We're not your average tech company! Rightcrowd is a global leader in keeping people safe and organizations secure. We build smart solutions that manage who's on-site, what access they have, and ensure everything is compliant. Think big names – Fortune 50 and ASX 10 companies rely on us to tackle their toughest security challenges. We're a passionate, global team with offices in places like Australia, the USA, Belgium, India, and the Philippines, and we're on a mission to make the world a safer place, one clever line of code at a time. What We Offer Competitive salary and benefits. A collaborative, respectful, and high-accountability team culture. Opportunities for growth within a global finance team. Flexibility in a remote-friendly and dynamic work environment. Key Responsibilities Required Qualifications & Skills: Agentic AI Development & Code Generation: Design, implement, and lead the development of an advanced agentic AI system that can interpret user stories and autonomously generate production-ready code Research and implement state-of-the-art techniques in LLM prompting, fine-tuning, and orchestration to achieve optimal code generation results Architect robust evaluation systems to test, validate, and improve AI-generated code Seamlessly integrate AI-generated code into existing CI/CD pipelines Collaborate with product and engineering teams to refine inputs and ensure alignment with development standards AI Recommendation Engine Architecture: Architect a high-performance, scalable recommendation engine for the RightCrowd SmartAccess platform Design and implement AI-driven feature extraction pipelines Develop hybrid recommendation algorithms leveraging both collaborative filtering and content- based approaches Engineer systems for real-time inference and continuous model improvement Ensure the architecture integrates seamlessly with existing product infrastructure Natural Language Reporting System Development: Lead the end-to-end development of an AI-powered reporting system that translates natural language queries to SQL Engineer robust NLP components to accurately understand and parse user requests Build a reliable translation layer between natural language and database queries Implement data retrieval, processing, and presentation mechanisms Design systems for generating insights and visualizations from retrieved data Ensure appropriate data security and access controls Technical Leadership & Innovation: Provide architectural guidance across AI initiatives within the organization Design scalable, maintainable AI systems with consideration for cloud infrastructure and MLOps best practices Stay at the forefront of advancements in LLMs, agentic AI, and code generation technologies Mentor junior engineers and foster a culture of AI innovation Collaborate effectively with cross-functional teams Master's or Ph.D. in Computer Science, AI, or related field (or equivalent practical experience) 5+ years of experience building production-level AI systems with significant focus on LLMs and generative AI Demonstrated expertise in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers) Extensive experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) Proven track record designing and implementing agentic AI systems Strong proficiency in prompt engineering, fine-tuning, and optimization of LLMs Expert-level SQL skills and experience with database systems Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services Solid understanding of software engineering principles and best practices Experience with MLOps and CI/CD pipelines for AI systems Preferred Qualifications: Experience developing systems that generate production-ready code Familiarity with retrieval-augmented generation (RAG) techniques Experience with vector databases (Pinecone, Weaviate, etc.) Knowledge of containerization technologies (Docker, Kubernetes) Experience with model optimization, quantization, and efficient inference Contributions to open-source AI projects or research publications Familiarity with physical security or identity access management domains Experience implementing AI systems with strong security and governance controls This position offers the opportunity to work at the forefront of AI engineering, developing systems that not only generate code but also function autonomously to deliver real business R&D Ghaziabad, India

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

Description Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Requirements Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Job responsibilities Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Description GlobalLogic has been engaged in exploring opportunities to implement ML/AL/GenAI-powered applications for multinational industrial conglomerate since 2023, aiming to enhance business efficiency. After conducting a Discovery phase and completing 3 pilot projects covering use cases of Customer Requirements, Tender Response and Project Design areas, GL proposes to enhance pilots with additional capabilities, identified and confirmed with the client’s experts throughout pilots development, taking the applications to the next MVP (Minimum Viable Product) stage. Requirements 3+ years of experience in machine learning and natural language processing. Proficiency in training and fine-tuning Large Language Models (LLMs). Experience with RAG architectures and vector databases like Pinecone. Bachelor’s degree in Computer Science, Engineering, or equivalent. Excellent problem-solving and analytical skills. Demonstrated ability to conduct experiments and improve model performance. Good command of English for effective communication with team members. Knowledge of Pytorch, Pinecone, LLM fine-tuning, RAG, and vector databases. Job responsibilities Train and fine-tune Large Language Models (LLMs) for various applications. Implement and optimize Retrieval-Augmented Generation (RAG) architectures. Work with vector databases like Pinecone to enhance data retrieval capabilities. Develop and apply data science and machine learning techniques. Collaborate with cross-functional teams to integrate LLMs into products. Stay updated with the latest advancements in LLM and machine learning technologies. Conduct experiments and analyze results to improve model performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

About Us  Dailoqa is an international, AI-native company focused on solving business problems for clients in the Financial Services sector by combining assets and strong technical and functional skills. We help our clients in their future as an AI-native organisation by providing roadmap for unlocking value by Combined Intelligence in partnership between humans and agents in integrating new technology into complex and legacy IT architectures. Key Responsibilities: Data Analysis and Modelling: Collect, process, and analyse large datasets to extract actionable insights. Develop and implement statistical and machine learning models to solve complex business problems. Algorithm Development: Design and develop algorithms for data mining, predictive modelling, and other data-driven applications. Continuously improve and optimize algorithms for better performance. Visualization and Reporting: Create data visualizations and reports to effectively communicate insights and findings to stakeholders. Develop dashboards and interactive tools for data exploration. Collaboration: Work closely with cross-functional teams, including data engineers, AI engineers, and product managers, to understand project requirements and deliver high-quality solutions. Data Preparation: Perform data cleaning, transformation, and augmentation to ensure data quality and readiness for analysis. Implement ETL processes to streamline data workflows. Machine Learning Implementation: Develop and deploy machine learning models to production environments. Monitor model performance and implement necessary updates and improvements. Documentation and Reporting: Document the data analysis process, including data sources, methodologies, and results. Prepare and present reports on project progress and findings to stakeholders. Ethical Data Practices: Ensure that data analysis and modelling adhere to ethical standards and guidelines, promoting fairness and minimizing bias. Continuous Learning and Improvement: Stay updated with the latest advancements in data science and machine learning. Attend conferences, read research papers, and participate in professional development activities to continuously enhance skills and knowledge. Problem-Solving and Innovation: Identify and solve complex problems using innovative data-driven solutions. Propose and implement creative ideas to leverage data for various applications and industries. Testing and Validation: Conduct rigorous testing and validation of models and algorithms to ensure accuracy, reliability, and scalability. Implement A/B testing and other validation techniques to assess the real-world performance of data-driven solutions. Feedback Incorporation: Collect and analyse feedback from users and stakeholders to improve data models and applications. Iterate on model development based on user needs and project requirements. Skills and Qualifications: Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Strong knowledge of machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn. Experience with data visualization tools such as Tableau, Power BI, and Matplotlib. Familiarity with big data technologies, including Hadoop and Spark. Knowledge of data pre-processing, feature engineering, and ETL processes. Mathematics and Statistics: Strong foundation in linear algebra, calculus, and probability & statistics. Soft Skills: Excellent problem-solving and critical thinking skills. Strong communication skills for explaining complex technical concepts to non-technical stakeholders. Ability to work effectively in a team and collaborate with cross-functional teams. Commitment to continuous learning and staying updated with industry advancements. Creativity and innovation in developing data-driven solutions. Domain Knowledge: Understanding of the Financial Services industry and its specific challenges. Awareness of ethical considerations in data science and machine learning. Overall and Relevant Experience: 3+ years overall IT experience with at least 2+ years of relevant experience in data science with Financial Services organisations. Bachelor’s degree in computer science, Engineering, Statistics, Mathematics, or a related quantitative field. Why Join Us: Innovative Environment: Work on cutting-edge AI technologies and innovative projects. International Exposure : To work with international clients/team Collaborative Culture: Be part of a passionate and supportive team. Professional Growth: Opportunities for continuous learning and development. Impactful Work: Contribute to meaningful projects that drive innovation and make a difference. If you are excited about the prospect of working in a dynamic and forward-thinking company, we would love to hear from you!

Job Description Sr. AI Developer Who are we looking for? We are seeking a talented and experienced Senior Developer with 4+ years of professional experience to join our dynamic team. The ideal candidate will have expertise across front-end, back-end, AI engineering, cloud technologies, and databases, as well as a strong proficiency in Agile development practices and English communication skills. Technical Skills  Minimum of 4+ years of professional experience in software development.  Strong expertise in front-end technologies: React, Typescript, and Chakra-UI.  Comprehensive knowledge of back-end frameworks: Python, Fast API, and Pydantic, with experience in REST API design and implementation.  Hands-on experience in AI Engineering, including LLMs, RAG, Vector DBs, OpenAI API integration, and prompt engineering.  Proficiency in AI frameworks such as TensorFlow or PyTorch and other machine learning libraries.  Experience with deploying and managing cloud-based applications using AWS.  Strong understanding of database systems, including SQL and NoSQL.  Agile development experience, with a proven track record of working within distributed teams.  Excellent command of English for communication, both written and spoken. Process Skills  Bachelor's or master’s degree in Computer Science, Statistics, Mathematics, or a related field.  Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.  Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.  Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions.  Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.  Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.  Experience working in a collaborative, cross-functional team environment is highly desirable. Behavioral Skills  Develop and maintain scalable front-end applications using React, Typescript, and Chakra-UI.  Design and implement robust back-end solutions with Python, Fast API, and Pydantic, ensuring efficient REST API integration.  Leverage AI frameworks like TensorFlow or PyTorch for designing and fine-tuning machine learning models.  Implement AI solutions such as LLMs, RAG, Vector DBs, OpenAI API integration, prompt engineering, and fine-tuning.  Collaborate with cloud services using AWS to deploy and manage applications securely and efficiently.  Design and manage databases, ensuring data integrity and optimization for both SQL and NoSQL architectures.  Work effectively within distributed teams using Agile methodologies, ensuring seamless collaboration and delivery.  Communicate project progress and challenges effectively in English, fostering transparency and teamwork. Experience And Education Required  Bachelor’s degree or foreign equivalent required from an accredited institution. We will also consider three years of progressive experience in the specialty in lieu of every year of education  4+ years of IT experience

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI , an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures." Position Description As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products. Roles & Responsibilities Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files. Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace. Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 3–5 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning. Solid understanding of image processing, visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning. Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers. Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation). - Good to have Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure). Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. Why Work With Us? Be part of a visionary team building a first-of-its-kind AI solution for the construction industry. Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. Opportunities for fast learning, mentorship, and career progression.

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. Position: Senior - AI Engineer Job Summary: As an AI Engineer, you will be responsible for designing, developing, and implementing AI models and algorithms that solve complex problems and enhance our products and services. You will work closely with software engineers, business users and product managers to create intelligent systems that leverage machine learning and artificial intelligence. Responsibilities: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Proficiency in Generative AI: Strong understanding of GPT architecture, prompt engineering, embeddings , efficient token usage and agentic AI solutions (example async, batching, caching, piping solutions etc ). Hands-on Experience with Model Training: Demonstrated ability to train and fine-tune AI/ML models, particularly in natural language processing (NLP). Expertise in Deep Learning Frameworks: Familiarity with popular deep learning libraries such as TensorFlow, PyTorch, or similar tools. NLP Techniques: Experience with various NLP techniques, namely using AI to extract the contents from unstructured complex PDF documents. Knowledge of deep learning techniques and neural networks. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Skills requirement: 4 – 6 years of hands on experience developing AI solutions. Strong programming skills in languages such as Python. Strong experience with SQL, RESTful API, JSON Experience with Azure Cloud resources is preferable. Familiarity with DevOps practices and tools. Exposure to any noSQL Databases (MongoDB, Cosmos DB and etc) is a plus 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.

About the Company: Devnagri is a AI company dedicated to personalizing business communication and making it hyper-local to attract non-English speakers. We address the significant gap in internet content availability for most of the world’s population who do not speak English. For more detail - Visit www.devnagri.com Job Summary We are looking for a visionary and hands-on VP- Engineering to lead and scale our engineering team. You’ll be responsible for driving the company’s technical strategy, overseeing product delivery, and fostering a world-class engineering culture that thrives on innovation, ownership, and impact. Job Type: Work From Office (5 days) Location: Sector 16A, Film City, Noida Salary: Competitive Key Responsibilities Define and execute the engineering roadmap aligned with company goals and product strategy. Lead, mentor, and grow a high-performing, cross-functional engineering team (backend, frontend, MLOps, DevOps, QA). Collaborate closely with product, data science, and design teams to deliver AI-powered products at scale. Ensure best practices in architecture, code quality, security, and performance. Own the full lifecycle of engineering initiatives from concept to deployment and iteration. Make key build vs. buy decisions and guide technology stack evolution. Champion a culture of innovation, collaboration, and continuous learning. Establish KPIs and metrics to measure engineering effectiveness and product reliability. Requirements 10+ years of engineering experience, including 5+ years in leadership roles. Proven experience building and scaling high-performing engineering teams. Deep technical expertise in AI/ML systems, cloud platforms (AWS, GCP, Azure), and modern software development practices. Proficiency in Python, Go, Java, or similar; familiarity with ML frameworks (TensorFlow, PyTorch) is a plus. Strong knowledge of system architecture, distributed systems, and data infrastructure. Excellent communication, stakeholder management, and decision-making skills. Experience in a fast-paced startup or scale-up environment. Preferred Qualifications Background in AI research or data science. Experience working with LLMs, NLP, or computer vision applications. Previous experience in a B2B SaaS or AI product company. Advanced degree in Computer Science, Engineering, or related field. Interested applicants can share their CV and we shall connect with you soon.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Experience Level: Around 10 years of experience in AI/ML, GenAI and automation domains About the Role: We are seeking a highly skilled and visionary Solution Architect to lead the design and implementation of cutting-edge solutions in Artificial Intelligence (AI) , Generative AI and Automation . This role requires a blend of technical expertise, strategic thinking, and leadership to drive innovation and deliver scalable, high-impact solutions across the organization. Key Responsibilities: Design end-to-end AI and automation solutions aligned with business goals and technical requirements. Participate in business requirements discussions and arrive at solution, technical architecture considering all aspects of the business problem Define architecture blueprints, integration patterns, and data pipelines for AI-driven systems. Evaluate and select appropriate AI models, automation tools (e.g., RPA, BPM), and cloud platforms. Ensure scalability, security, and performance of deployed solutions. Stay current with emerging technologies and industry trends in AI, ML, NLP, computer vision, and automation. Provide technical leadership and mentorship to engineering teams. Participate in pre-sales and client engagements to define solution strategies and roadmaps. Required Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or related field. Proven experience in architecting and deploying Generative AI solutions in production environments in Azure, GCP, AWS etc Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with automation platforms (e.g., UiPath, Automation Anywhere, Power Automate). Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of data engineering, APIs, and microservices architecture. Excellent communication and stakeholder management skills. Preferred Qualifications: Certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Azure AI Engineer). Experience with MLOps, model monitoring, and CI/CD pipelines. Familiarity with ethical AI practices and data privacy regulations.

Designation: Computer Vision Engineer Location: Noida Experience: 5+ years Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

About The Role We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Technical Skills Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following : Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments. Nice To Have Object Oriented Programming. Familiarity with NLP, or time series analysis. Exposure to deep learning models (RNN, LSTM) and working with GPUs. (ref:hirist.tech)

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client-facing AI features by creating and delivering insights that advise client decisions tomorrow. As a Gen AI Engineer, you will play a critical role in building AI offerings for Brightly. You will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster. This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities: Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch Develop GenAI applications using Hugging Face Transformers, LangChain, and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong exerience in predictive and stastical modelling. Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph. Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineering Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. Strong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch. Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI. Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. Strong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain. Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. Possess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI. Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies. Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA, PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer

Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them Define technical architecture to productize Innovaccer's machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems Requirements Preferably Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 3+ years of experience in Data Science (healthcare experience will be a plus) Strong hands-on experience in Python - building enterprise applications Deep experience in classical and new age NLP techniques - must have either trained or fine tuned a transformer architecture Understanding new age fine LLM tuning techniques like PEFT [experience with LoRA and QLoRA preferred] Should have experience with GenAI tools and techniques including but not limited to RAG, VectorDBs, Agentic AI fundamentals Proficiency in at least one of the the following - LangChain, Crew.AI Should have hands-on experience with deep learning frameworks. Pytorch ○ HuggingFace transformers Hands on experience with at least one ML platform from amongst Databricks, Azure ML, Sagemaker Good to have - Hands on experience in API frameworks leveraging their capabilities for developing robust web applications. [Experience FastAPI preferred] Good to have - Comfortable with AWS cloud technologies Benefits Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com.

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client - facing AI features by creating and delivering insights that advise client decisions tomorrow. Role As a Gen AI Engineer , you will play a critical role in building AI offering s for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch D evelop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong ex erience in predictive and stastical modelling . Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph . Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineer ing Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. S trong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch . Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI . Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. St rong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain . Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. P ossess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI . Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies . Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA , PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced Senior AI Developer to join our team in India. The ideal candidate will have a solid background in AI development and proven experience in communicating with senior management. This role requires a strategic thinker who can drive AI initiatives and collaborate effectively with various stakeholders. Primary Responsibilities Lead the development and implementation of AI solutions to address business challenges Collaborate with cross-functional teams to integrate AI technologies into existing systems Communicate complex AI concepts and project updates to senior management and other stakeholders Stay updated with the latest advancements in AI and machine learning technologies Mentor and guide teams in AI development best practices Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, or a related field 15+ years of experience in software engineering. 5+ years of experience in AI development, including hands-on experience with machine learning, deep learning, and natural language processing. 3+ years of experience in AI operations (AI Ops). Proven experience in communicating with senior management, including presenting technical information in a clear and concise manner Experience with AI frameworks and tools such as TensorFlow, PyTorch, or Keras Experience with Large Language Models (LLMs) and their applications in natural language processing tasks Proven solid programming skills in languages such as Python, R, or Java Proven solid interpersonal and communication skills, with the ability to work effectively in a team environment Proven excellent problem-solving skills and the ability to think critically and creatively Preferred Qualifications Experience in the healthcare industry Knowledge of cloud platforms such as AWS, Azure, or Google Cloud At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Institute of Information Science Postdoctoral Researcher 2 Person The Computer Systems Laboratory - Machine Learning Systems Team Focuses On Research Areas Including Parallel And Distributed Computing, Compilers, And Computer Architecture. We Aim To Leverage Computer System Technologies To Accelerate The Inference And Training Of Deep Learning Models And Develop Optimizations For Next-generation AI Models. Our Research Emphasizes The Following Job Description Unit Institute of Information Science JobTitle Postdoctoral Researcher 2 Person Work Content Research on Optimization of Deep Learning Model Inference and Training AI Model Compression and Optimization Model Compression Techniques (e.g., Pruning And Quantization) Reduce The Size And Computational Demands Of AI Models, Which Are Crucial For Resource-constrained Platforms Such As Embedded Systems And Memory-limited AI Accelerators. We Aim To Explore AI compiler: deployment methods for compressed models across servers, edge devices, and heterogeneous systems. High performance computing: efficient execution of compressed models on processors with advanced AI extensions, e.g., Intel AVX512, ARM SVE, RISC-V RVV, and tensor-level accelerations on GPUs and NPUs. AI Accelerator Design We aim to design AI accelerators for accelerating AI model inference, focusing on software and hardware co-design and co-optimization. Optimization of AI Model Inference in Heterogeneous Environments Computer Architectures Are Evolving Toward Heterogeneous Multi-processor Designs (e.g., CPUs + GPUs + AI Accelerators). Integrating Heterogeneous Processors To Execute Complex Models (e.g., Hybrid Models, Multi-models, And Multi-task Models) With High Computational Efficiency Poses a Critical Challenge. We Aim To Explore Efficient scheduling algorithms. Parallel algorithms for the three dimensions: data parallelism, model parallelism, and tensor parallelism. Qualifications Ph.D. degree in Computer Science, Computer Engineering, or Electrical Engineering Experience in parallel computing and parallel programming (CUDA or OpenCL, C/C++ programming) or hardware design (Verilog or HLS) Proficient in system and software development Candidates With The Following Experience Will Be Given Priority Experience in deep learning platforms, including PyTorch, TensorFlow, TVM, etc. Experience in high-performance computing or embedded systems. Experience in algorithm designs. Knowledge of compilers or computer architecture Working Environment Operating Hours 8:30AM-5:30PM Work Place Institute of Information Science, Academia Sinica Treatment According to Academia Sinica standards: Postdoctoral Researchers: NT$64,711-99,317/month. Benefits include: labor and healthcare insurance, and year-end bonuses. Reference Site 洪鼎詠網頁: http://www.iis.sinica.edu.tw/pages/dyhong/index_zh.html, 吳真貞網頁: http://www.iis.sinica.edu.tw/pages/wuj/index_zh.html Please Email Your CV (including Publications, Projects, And Work Experience), Transcripts (undergraduate And Above), And Any Other Materials That May Assist In The Review Process To The Following PIs Acceptance Method Contacts Dr. Ding-Yong Hong Contact Address Room 818, New IIS Building, Academia Sinica Contact Telephone 02-27883799 ext. 1818 Email dyhong@iis.sinica.edu.tw Required Documents Dr. Ding-Yong Hong: dyhong@iis.sinica.edu.tw Dr. Jan-Jan Wu: wuj@iis.sinica.edu.tw Precautions for application Date Publication Date 2025-01-20 Expiration Date 2025-12-31

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves 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!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves 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!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves 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!

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 about our vision here. 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.