234 Pytorch Jobs in Uttar Pradesh - Page 7

We are seeking a visionary Generative AI Architect with strong hands-on experience to lead the design and deployment of intelligent solutions leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques. This role emphasizes deep expertise in LangChain, LangGraph, agentic workflows to build scalable, enterprise-grade generative AI systems across insurance, healthcare, and financial services. Key Responsibilities: Architect modular GenAI solutions using LLMs (e.g., GPT, Claude, LLaMA, Mistral) with a focus on LangChain , LangGraph and RAG. Design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agents and LangGraph-based workflows. Design robust, cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models (AWS/Azure/GCP) Develop and prototype intelligent assistants, document automation systems, and NLP tools. Build robust RAG architectures with vector databases (e.g., FAISS, Pinecone) and embedding models for domain-specific search and document intelligence. Translate complex business problems into generative AI use cases in areas such as underwriting automation, claims triage, policy analysis, and customer support. Collaborate with cross-functional teams including data scientists, engineers, and domain SMEs to drive successful AI solution delivery. Continuously evaluate and benchmark LLMs, agent orchestration tools, and GenAI platforms (e.g., OpenAI, Hugging Face, LlamaIndex). Optimize performance and scalability for LLM-based systems deployed in production, ensuring low latency, secure data handling, and ethical AI compliance. Evangelize GenAI innovations internally and with clients via PoCs, demos, and technical workshops. Good to Have: Develop structured AI pipelines using the MCP framework to clearly define model invocation logic (Model), contextual understanding and memory (Context), and input/output protocols (Protocol) for repeatable, enterprise-scale use cases Qualifications: 7 + years of experience in AI/ML, including 3+ years specializing in NLP and Generative AI. Proven hands-on expertise with LLMs such as GPT, Claude, LLaMA, Mistral, and BERT, including both open-source and commercial APIs (e.g., OpenAI, Anthropic). Deep understanding of LLM architecture and operations, including prompt engineering, function calling, tool use, memory management, context handling, and token optimization. Strong experience building Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. Proficient with GenAI frameworks including LangChain, LangGraph, and LlamaIndex, with a solid grasp of agent orchestration and workflow design. Advanced programming skills in Python, with hands-on experience using PyTorch, Transformers, and the broader Hugging Face ecosystem. Demonstrated ability to design, prototype, and deploy enterprise-ready AI solutions in production environments. Show more Show less

Who we are Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars – helping people work faster and smarter, while reducing friction and waste. Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster – even after full-scale disasters like floods and hurricanes. Tractable has a world-class culture, backed up by our team, making us a global employer of choice! We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning. We're seeking a Senior Data Scientist to lead the delivery of real-world AI solutions across industries like insurance and automotive. You'll drive end-to-end ML development—from scalable pipelines to production deployment—while mentoring teammates and collaborating with enterprise partners to deliver business impact. Your impact Architect Solutions: Design and optimise scalable ML systems, focusing on computer vision and NLP/LLM applications Build & Deploy Models: Develop and productionise deep learning models using Python and modern ML frameworks Lead Cross-Functionally: Align research, engineering, and product goals through hands-on leadership Mentor & Guide: Support junior team members and promote best practices in ML development Engage Customers: Collaborate directly with enterprise clients to ensure seamless integration of AI solutions Drive Innovation: Evaluate and implement new AI tools and methodologies to enhance performance and scalability What you'll need to be successful Applied AI Expertise: 5+ years building ML systems, especially in computer vision or NLP/LLM Strong Python & ML Skills: Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow) Production Experience: Hands-on experience deploying ML models in production environments Cloud & Data Engineering: Knowledge of cloud platforms (ideally AWS) and scalable data pipelines Collaboration & Communication: Ability to work across teams and communicate complex ideas clearly Problem-Solving Mindset: Analytical thinking and a focus on continuous improvement Preferred experience Industry Impact: Experience applying AI in insurance, automotive, or similar sectors LLM/NLP Expertise: Background in large language models or conversational AI Scalable Product Delivery: Proven success scaling ML solutions in production Leadership: Track record of mentorship and technical leadership in data science teams Diversity commitment At Tractable, we are committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination. Show more Show less

📍 India | Remote/Hybrid | Equity-Based Role We're launching a HealthTech AI startup tackling obesity, preventive care, and personalized health using AI-driven solutions. We’re looking for a visionary CTO & Co-founder to lead our tech and AI development from the ground up. Your Role Define tech and AI strategy (MVP to scale). Drive development of AI models (predictive analytics, computer vision, NLP) for health diagnostics and recommendations. Lead full-stack + ML/AI development. Build and manage a strong engineering/ML team. Collaborate with doctors, researchers & co-founders. Key Qualifications 3+ years in software & AI/ML development. Strong in Python, TensorFlow/PyTorch, NLP, data modeling, LLMs, and cloud platforms (AWS/GCP). Experience in healthtech, medical data, or digital health products. Knowledge of HIPAA/data security and healthcare compliance. Passion for building scalable AI products with real-world impact. Perks Co-founder equity. Freedom to shape the core tech. Work at the intersection of AI and public health. Let’s connect! If you're ready to build transformative tech that reshapes healthcare, drop us a message or email at- slimzyhealthcare @gmail.com Show more Show less

Team: Data & Decision Science (D&DS) Experience: 5–8 years Location: Remote (India) Do you want to help transform the global economy? Join the movement disrupting the financial world and changing how businesses gain access to the working capital they need to grow. As the largest online platform for working capital, we serve over one million businesses in 160 countries, representing more than $10.5 trillion in annual sales. Headquartered in Kansas City, C2FO has more than 500 employees worldwide, with operations throughout Europe, India, Asia Pacific, and Australia. Here at C2FO, we value the quality of our technical solutions and are passionate about building the right thing, the right way to best solve the problem at hand. But beyond that, we also value our employees' work-life balance and promote a continuous learning culture. We host bi-annual hackathons, have multiple book clubs focused on constant growth, and embrace a remote-first working environment. If you want to work at a place where your voice will be heard and can make a real impact, C2FO is the place for you. About C2FO’s Data & Decision Science Team The Data & Decision Science (D&DS) team is one of the most dynamic and cross-functional teams at C2FO. It comprises four pillars: Data Engineering, Data Science & Analytics, Data Operations, and Business Intelligence. Spread across India and the US, our teams power C2FO’s global growth by building scalable, high-quality data solutions and driving data-backed innovation. We manage the full lifecycle of data — from architecture and governance to advanced modeling, business intelligence, and AI. Our team enables smarter decisions, deeper insights, and practical experimentation across C2FO’s ecosystem. About The Role We are looking for a Senior Data Scientist who thrives at the intersection of business impact and technical rigor. This role offers the opportunity to work on a wide variety of problems — from traditional ML (forecasting, credit scoring, churn prediction) to cutting-edge applications of large language models (LLMs) in customer engagement and retention. You’ll be part of a fast-paced, collaborative environment, where initiative, ownership, and curiosity are rewarded. Key Responsibilities Build ML models and scalable data solutions for business-critical problems like dynamic discounting, customer retention, LTV prediction, credit scoring, and more Design, experiment, and iterate quickly on MVPs that solve real business pain points Work cross-functionally to translate ambiguous business challenges into data science problems Collaborate with Data Engineering and Data Governance to ensure robust data validation and quality frameworks Conduct deep-dive analyses to extract actionable insights from large, complex datasets Contribute to a culture of learning, innovation, and experimentation What We’re Looking For 5+ years of hands-on experience in data science or applied machine learning Strong foundation in mathematics, statistics, and ML concepts Experience building and deploying ML models in production environments Proficiency in Python and data manipulation tools (SQL, Pandas) Familiarity with libraries like Scikit-learn, XGBoost, PyTorch, etc. Experience in hypothesis testing and experimentation frameworks A pragmatic mindset: build fast, learn fast, iterate fastExceptional problem-solving, communication, and stakeholder management skills Bonus: experience in fintech or financial services Benefits At C2FO, we care for our customers and people – the vital human capital that helps our customers thrive. That's why we offer a comprehensive benefits package, flexible work options for work/life balance, volunteer time off, and more. Learn more about our benefits here. Commitment to Diversity and Inclusion As an Equal Opportunity Employer, we value diversity and equality and empower our team members to bring their authentic selves to work daily. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs. Show more Show less

About The Role Grade Level (for internal use): 10 Responsibilities To work closely with various stakeholders to collect, clean, model and visualise datasets. To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems To drive ground-breaking ML technology within the Modelling and Data Science team. To extract hidden value insights and enrich accuracy of the datasets. To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. To understand, implement, manage, and maintain analytical solutions & techniques independently. To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets To drive and maintain high quality processes and delivering projects in collaborative Agile team environments. Requirements 7+ years of programming experience particularly in Python 4+ years of experience working with SQL or NoSQL databases. 1+ years of experience working with Pyspark. University degree in Computer Science, Engineering, Mathematics, or related disciplines. Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Experience with workflow management platforms like Airflow. Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment Experience working with git or other source control tools Strong understanding of Object-Oriented Programming (OOP) principles and design patterns. Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code. Strong focus on performance optimization and writing efficient, scalable code. Nice To Have Experience working with Oil, gas and energy markets Experience working with BI Visualization applications (e.g. Tableau, Power BI) Understanding of cloud-based services, preferably AWS Experience working with Unified analytics platforms like Databricks Experience with deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 314321 Posted On: 2025-05-19 Location: Hyderabad, Telangana, India Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Summary As a Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for designing, developing, and deploying data extraction pipelines from documents. You will use state-of-the-art machine learning models, NLP techniques, and cloud platforms to improve automation, data quality, and overall decision-making processes. This role requires strong technical expertise, creative problem-solving, and hands-on experience with cloud technologies. Key Responsibilities Design and implement advanced NLP models to extract structured data from unstructured document formats (e.g., PDFs, Word, scanned images, emails, etc.). Leverage Generative AI techniques for data enhancement, content summarization, and document generation where necessary. Develop, fine-tune, and deploy machine learning models to enhance document understanding and automate data extraction processes. Collaborate with engineering teams to integrate NLP models into cloud-based data pipelines and workflows (AWS, Azure, or GCP). Build scalable and efficient data extraction workflows, ensuring high accuracy and performance of models. Conduct end-to-end data science activities, from data collection, cleaning, and exploration, to feature engineering and model deployment. Ensure the security, scalability, and compliance of data processing solutions deployed in the cloud. Evaluate and improve existing document extraction tools and processes, suggesting innovative solutions. Stay updated on the latest trends in NLP, Generative AI, and Cloud technologies, applying these advancements to enhance model performance and operational efficiency. Required Skills & Qualifications Minimum of 5 years of hands-on experience in Data Science, with a focus on NLP, machine learning, and AI. Strong proficiency in Python and libraries like SpaCy, NLTK, Hugging Face Transformers, and TensorFlow/PyTorch. Deep knowledge of document processing techniques, including OCR, text extraction, and document classification. Experience with Generative AI models (e.g., GPT, BERT) and their application in data extraction or document processing tasks. Expertise in cloud technologies (AWS, Azure, GCP) for building and deploying data-driven solutions. Proficiency in data manipulation and analysis using libraries like Pandas, NumPy, and SQL. Hands-on experience with model deployment frameworks and tools like Docker, Kubernetes, or MLFlow. Familiarity with version control (Git), CI/CD processes, and Agile development practices. Strong problem-solving skills, with the ability to design innovative solutions for complex document extraction challenges. Excellent communication skills and ability to work in cross-functional teams. Preferred Qualifications Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or related field. Experience with Large Language Models (LLMs) and advanced NLP techniques such as transfer learning and few-shot learning. Familiarity with document management systems (DMS) or enterprise content management (ECM) platforms. Experience with deploying and scaling machine learning models in production environments. Understanding of data privacy regulations and secure processing of sensitive information. Show more Show less

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Sr System Engineer Grade: IT3 Location: Noida, India Job Type: Full-time Experience: 7-10 years Job Description We are seeking a highly skilled Generative AI Developer with 7 to 10 years of experience to join our team. The ideal candidate will have extensive experience in working with large language models (LLMs) such as Llama, ChatGPT, and other similar models. They should be proficient in the Langchain framework and have hands-on experience with vector databases like FASIS. Additionally, the candidate should have implemented Retrieval-Augmented Generation (RAG) techniques and have good proficiency in prompt engineering. Key Responsibilities Design, develop, and implement generative AI models and algorithms. Work with LLMs such as Llama, ChatGPT, and other similar models to create new data samples, patterns, or content. Utilize the Langchain framework to build and optimize generative AI applications. Implement and manage vector databases like FASIS and other similar databases. Develop and implement RAG techniques to enhance the performance and accuracy of AI models. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated with the latest advancements in generative AI and machine learning technologies. Provide technical guidance and mentorship to junior developers. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7-10 years of experience in AI/ML development, with a focus on generative AI. Proficiency in working with LLMs such as Llama, ChatGPT, and other similar models. Hands-on experience with the Langchain framework. Experience with vector databases like FASIS and other similar databases. Proficiency in prompt engineering Proven track record of implementing RAG techniques. Experience with Cosine similarity search Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Preferred Skills Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with reinforcement learning and human feedback mechanisms. Knowledge of data privacy and security best practices in AI development. We’re doing work that matters. Help us solve what others can’t. Show more Show less

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

About The Role Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315681 Posted On: 2025-05-14 Location: Gurgaon, Haryana, India Show more Show less

Job Summary As a Senior Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for driving the development of data extraction solutions from documents at scale. This role requires advanced technical expertise in machine learning, NLP, and cloud computing, with a focus on automating document understanding processes and enhancing the quality of data extraction through state-of-the-art techniques. You will lead the design, implementation, and deployment of scalable NLP and AI models, mentor junior data scientists, and work collaboratively with cross-functional teams to deliver innovative solutions. This is a strategic role that requires both deep technical knowledge and leadership capabilities to shape the future of document data extraction within the organization. Key Responsibilities Lead Data Extraction Solutions: Design, implement, and scale advanced NLP and machine learning models for automating the extraction of structured data from a wide range of unstructured documents (e.g., PDFs, scanned images, contracts, reports, etc.). Generative AI Expertise: Leverage Generative AI models (such as GPT, BERT, and related architectures) for tasks such as document summarization, content generation, and enhancing extracted data. Cloud-Based Deployment: Architect and deploy data extraction models and workflows in cloud environments (AWS, Azure, GCP), ensuring scalability, reliability, and cost-efficiency. Model Development & Optimization: Develop and fine-tune machine learning and NLP models, ensuring high performance in accuracy, efficiency, and robustness for real-world data extraction tasks. Data Pipeline Design: Build and optimize end-to-end data pipelines, including data preprocessing, feature engineering, and model deployment, to process large-scale document datasets in the cloud. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to understand requirements, provide technical solutions, and deliver impactful data-driven results. Research & Innovation: Stay up-to-date with the latest advancements in NLP, machine learning, and AI, applying cutting-edge research to improve data extraction methodologies. Mentorship & Leadership: Lead and mentor a team of junior data scientists, providing guidance on best practices, model development, and cloud deployment. Model Monitoring & Maintenance: Establish systems for monitoring model performance in production and ensure models are maintained and updated based on new data or changing requirements. Compliance & Security: Ensure data processing and extraction workflows adhere to industry standards, data privacy regulations, and security protocols, particularly when working with sensitive information. Required Skills & Qualifications Experience: Minimum 8 years of experience as a Data Scientist or similar role, with a focus on NLP, machine learning, and AI. At least 3 years in a senior or lead capacity. NLP & Document Processing Expertise: Proven experience applying NLP techniques such as Named Entity Recognition (NER), Optical Character Recognition (OCR), information extraction, document classification, and semantic analysis for data extraction from unstructured text. Generative AI: Advanced knowledge of Generative AI models (e.g., GPT-3, BERT, T5) and experience applying them to real-world document and text processing tasks. Cloud Technologies: Extensive experience with cloud platforms (AWS, Azure, or GCP) for deploying data pipelines, managing machine learning models, and processing large datasets. Programming Skills: Proficiency in Python and libraries such as SpaCy, Hugging Face Transformers, TensorFlow, PyTorch, and scikit-learn. Data Pipeline & DevOps Tools: Hands-on experience with building, optimizing, and deploying data pipelines in cloud environments, including tools like Docker, Kubernetes, Apache Airflow, and MLFlow. Data Handling & Analysis: Expertise in data manipulation and analysis using tools such as Pandas, NumPy, and SQL, and ability to work with large datasets. Leadership & Communication: Strong leadership and mentoring abilities, with excellent written and verbal communication skills to explain complex technical concepts to non-technical stakeholders. Problem Solving: Exceptional problem-solving skills with a creative approach to tackling challenges related to document data extraction. Collaboration: Experience working in a collaborative, cross-functional team environment to deliver end-to-end solutions. Preferred Qualifications Advanced Degree: Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field. Advanced NLP Techniques: Experience with state-of-the-art NLP methods such as transfer learning, attention mechanisms, and reinforcement learning applied to document data extraction. Compliance Experience: Familiarity with legal, financial, or healthcare industry regulations regarding data privacy and document processing. Industry Experience: Previous experience in industries such as finance, legal, healthcare, or other sectors that heavily rely on document data extraction. Show more Show less

AIML Development_Full-Time, Permanent_Noida Job Title: AIML Development Job Type: Full-Time, Permanent Location: Noida Experience: 2-7 years Job Description: Roles: * AI/ML Developer (2-3 years experience) – Develop, fine-tune, and deploy AI/ML models. * Senior AI/ML Developer (5-7 years experience) – Lead AI/ML projects, optimize large-scale models, and mentor junior developers. What We’re Looking For: * B.Tech / M.Tech in Computer Science, AI, or related fields. * AI/ML Developer:2-3 years of experience in AI/ML development, strong in Python, TensorFlow/PyTorch, data engineering. * Senior AI/ML Developer:5-7 years of experience with expertise in LMs, deep learning, scalable architectures, and performance optimization. * Experience with MLOps tools MLflow, Kubeflow, Docker, Kubernetes) and cloud-based AI solutions. * Strong understanding of data structures, algorithms, and model deployment. * Be part of a team that’s shaping the future of AI-powered applications! Show more Show less

Overview: We are seeking a dynamic and technically skilled AI/ML Lead to take ownership of machine learning and AI initiatives, driving innovation and delivering data-driven solutions. This role is ideal for someone with at least one year of hands-on experience in AI/ML, looking to step into a leadership role while still being actively involved in development and problem-solving. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Collaborate with product, engineering, and data teams to integrate AI models into business applications. Analyze large datasets to extract actionable insights and identify opportunities for AI-driven improvements. Evaluate, tune, and optimize model performance for real-world production use cases. Stay current with advancements in AI/ML technologies and recommend relevant tools and techniques. Mentor junior team members and contribute to the growth of the AI/ML team. Qualifications: Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related field. Minimum 1 year of experience in machine learning or AI model development and deployment. Strong programming skills in Python and experience with ML libraries like scikit-learn, TensorFlow, PyTorch, or similar. Solid understanding of machine learning algorithms, data preprocessing, model training, and evaluation. Experience with version control (e.g., Git), data visualization tools, and model deployment platforms. Excellent analytical and problem-solving skills with strong communication abilities. Preferred Qualifications: Experience with cloud services (AWS/GCP/Azure) for deploying AI models. Knowledge of MLOps practices, model monitoring, and continuous training. Exposure to NLP, Computer Vision, or Reinforcement Learning projects. What We Offer: Opportunity to lead high-impact AI/ML projects. Collaborative and growth-oriented work environment. Career advancement opportunities. Company Name: Blue Data Consulting & IT Services Pvt Ltd. Employment Type: Full-time Working Hours: 9:30am to 5:30pm Working Days: Monday to Friday Work Mode: Work From Office Location: Sector 62, Noida Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Firefly GenAI engineering team is looking for a passionate ML Engineer to enable and accelerate the Adobe GenAI creative flows powered by pioneering machine learning models. Our goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary content creation applications: Firefly, PPro, Express, Photoshop, Podcast and others. This is a unique opportunity to work on powerful new and innovative generative technologies. In this role, you will work closely with ML researchers, bringing groundbreaking AI experiences to our users by enabling large-scale productisation through cloud based services. Responsibilities Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Work on large-scale stateful and stateless distributed systems for AI workflows with cost efficient strategies Collaborate closely with data scientists and engineers to ensure the GenAI services are effectively integrated into Adobe products and systems Ensure scalable and reliable cloud services with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe`s GenAI engineering effectiveness and efficiency Requirements 10+ years of experience Excellent programming skills (Python) Proven programming skills with standard machine learning tools such as Python, PyTorch, and TensorFlow Experience in pioneering Generative AI technologies, such as diffusion and/or GAN models Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases Advanced understanding of AI/ML, including ML frameworks Passion for staying up to date with the latest trends and technologies in AI/ML - in the cloud and on device Bachelor’s / Masters degree in engineering Bonus Experience with GPU optimization ( CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Location : Remote/Hybrid – India Experience : 2+ years About the Role : We are looking for a sharp and hands-on Machine Learning Engineer to own the design, training, and optimization of our phishing and malware detection models. Your work will directly impact the core detection capabilities of the platform. Key Responsibilities : Build and fine-tune models for detecting phishing, impersonation, and malware Implement Deep Neural Networks (DNN) , XGBoost , and transformer-based models (BERT) Extract email metadata and textual features for supervised learning Maintain scalable model inference pipelines compatible with real-time systems Continuously improve model accuracy through feedback loops and sample injection Required Skillset : Proficient in Python for ML (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow) Experience with DNN , BERT , and XGBoost model training and optimization Familiarity with NLP preprocessing and feature engineering techniques Experience with deploying models into production environments Comfort with Git and collaborative engineering workflows Qualities We Value : Analytical and detail-oriented problem solver Proactive learner with a passion for security or NLP Smart, self-driven, and ready to own key components independently Show more Show less

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job Reference: Role Summary The Senior AI/ML Platform Engineer is responsible for leading the design, implementation, and optimization of scalable machine learning infrastructure. This role ensures that AI/ML models are efficiently deployed, managed, and monitored in production environments while providing mentorship and technical leadership to junior engineers. Key Responsibilities: Architectural Leadership: Lead the design and development of scalable, secure, and efficient AI/ML platform architecture, ensuring robust and reliable infrastructure. Automation & Deployment: Develop and implement advanced automation pipelines for model deployment, monitoring, and rollback, enhancing operational efficiency. Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists and product managers, to define platform requirements and support seamless model integration. Performance Optimization: Drive performance tuning, load balancing, and cost optimization strategies to ensure the platform's efficiency and scalability. Mentorship & Leadership: Mentor junior platform engineers, providing technical guidance and fostering a culture of best practices and continuous learning. Incident Management: Conduct post-mortems and root cause analysis for system failures and performance issues, implementing corrective actions to prevent recurrence. Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: 5+ years of experience in AI/ML platform or infrastructure engineering, with a proven track record in leading and executing complex projects. Technical Expertise: · Expertise in cloud-based solutions (e.g., AWS, GCP, Azure), distributed systems, and microservices architecture. · Proficiency in Terraform, Docker, and advanced automation tools. · Proficiency in python and node.js. · Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and MLOps practices. Problem-Solving Skills: Excellent problem-solving skills with a proactive approach to identifying and addressing technical challenges. Leadership Skills: Strong leadership and mentoring skills, with the ability to guide and inspire engineering teams. Communication Skills: Exceptional communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. Show more Show less

Role Title: Data Scientist Location: India Worker Type: Full-Time Employee (FTE) Years of Experience: 8+ years Start Date: Within 2 weeks Engagement Type: Full-time Salary Range: Flexible Remote/Onsite: Hybrid (India-based candidates) Job Overview: We are looking for an experienced Data Scientist to join our team and contribute to developing AIdriven data conversion tools. You will work closely with engineers and business stakeholders to build intelligent systems for data mapping, validation, and transformation. Required Skills and Experience: • Bachelor’s or Master’s in Data Science, Computer Science, AI, or a related field • Strong programming skills in Python and SQL • Experience with ML frameworks like TensorFlow or PyTorch • Solid understanding of AI-based data mapping, code generation, and validation • Familiarity with databases like SQL Server and MongoDB • Excellent collaboration, problem-solving, and communication skills • At least 8 years of relevant experience in Data Science • Open mindset with a willingness to experiment and learn from failures Preferred Qualifications: • Experience in the financial services domain • Certifications in Data Science or AI/ML • Background in data wrangling, ETL, or master data management • Exposure to DevOps tools like Jira, Confluence, BitBucket • Knowledge of cloud and AI/ML tools like Azure Synapse, Azure ML, Cognitive Services, and Databricks • Prior experience delivering AI solutions for data conversion or transformation Show more Show less

We are seeking a talented and motivated B.Tech graduate to join our internal tech team. The ideal candidate should have a strong programming foundation and practical understanding of Artificial Intelligence (AI) . You will be responsible for developing in-house tools, automation systems, and AI-driven applications that enhance our business processes and innovation capabilities. Job Title: AI & Software Developer Experience Required: 5-10 Years Key Responsibilities: Design, develop, test, and maintain internal software solutions using programming languages such as Python, Java, or C++. Work closely with the management and tech team to understand internal automation and AI requirements. Build and deploy in-house AI/ML models for tasks like prediction, classification, optimization, or computer vision. Maintain documentation of all code, algorithms, and processes. Collaborate with cross-functional teams to integrate AI tools into existing workflows. Stay updated with the latest developments in AI, machine learning, and automation. Required Skills & Qualifications: B.Tech in Computer Science, IT, or a related field. Proficiency in at least one programming language (e.g., Python, Java, C++). Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Understanding of algorithms, data structures, and databases. Ability to work independently on research and development tasks. Good problem-solving skills and logical thinking. Desirable: Experience in working on personal or academic AI/ML projects. Familiarity with APIs, cloud platforms (AWS, GCP), or DevOps tools. Knowledge of data analysis, statistics, or data engineering pipelines. Show more Show less

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

Experience : 3.00 + years Salary : INR 2500000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+11:00) Australia/Melbourne (AEDT) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Okkular) What do you need for this opportunity? Must have skills required: Communication Skills, problem-solvers, Agentic AI, AWS services (Lambda, FastAI, LangChain, Large Language Model (LLM), Natural Language Processing (NLP), Pytorch, Sagemaker, Step Functions), Go Lang, Python Okkular is Looking for: About The Job Company Description: We are a leading provider of fashion e-commerce solutions, leveraging generative AI to empower teams with innovative tools for merchandising and product discovery. Our mission is to enhance every product page with engaging customer-centric narratives, propelling accelerated growth and revenue generation. Join us in shaping the future of online fashion retail through cutting-edge technology and unparalleled creativity within the Greater Melbourne Area. Role Description: This is a full-time remote working position in India as a Senior AI Engineer . The Senior AI Engineer will be responsible for pattern recognition, neural network development, software development, and natural language processing tasks on a daily basis. Qualifications: Proficiency in sklearn, PyTorch, and fastai for implementing algorithms and training/improving models. Familiarity with Docker, AWS cloud services like Lambda, SageMaker, Bedrock. Familiarity with Streamlit. Knowledge of LangChain, LlamaIndex, Ollama, OpenRouter, and other relevant technologies. Expertise in pattern recognition and neural networks. Experience in Agentic AI development. Strong background in Computer Science and Software Development. Knowledge of Natural Language Processing (NLP). Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams. Strong problem-solving skills and attention to detail. Master’s or PhD in Computer Science, AI, or a related field is preferred, but not mandatory. Strong experience in the field is sufficient alternative. Prior experience in fashion e-commerce is advantageous. Languages: Python, Golang Engagement Type: Direct-hire Job Type : Permanent Location : Remote Working time: 2:30 PM IST to 11:30 PM IST How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 2500000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+11:00) Australia/Melbourne (AEDT) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Okkular) What do you need for this opportunity? Must have skills required: Communication Skills, problem-solvers, Agentic AI, AWS services (Lambda, FastAI, LangChain, Large Language Model (LLM), Natural Language Processing (NLP), Pytorch, Sagemaker, Step Functions), Go Lang, Python Okkular is Looking for: About The Job Company Description: We are a leading provider of fashion e-commerce solutions, leveraging generative AI to empower teams with innovative tools for merchandising and product discovery. Our mission is to enhance every product page with engaging customer-centric narratives, propelling accelerated growth and revenue generation. Join us in shaping the future of online fashion retail through cutting-edge technology and unparalleled creativity within the Greater Melbourne Area. Role Description: This is a full-time remote working position in India as a Senior AI Engineer . The Senior AI Engineer will be responsible for pattern recognition, neural network development, software development, and natural language processing tasks on a daily basis. Qualifications: Proficiency in sklearn, PyTorch, and fastai for implementing algorithms and training/improving models. Familiarity with Docker, AWS cloud services like Lambda, SageMaker, Bedrock. Familiarity with Streamlit. Knowledge of LangChain, LlamaIndex, Ollama, OpenRouter, and other relevant technologies. Expertise in pattern recognition and neural networks. Experience in Agentic AI development. Strong background in Computer Science and Software Development. Knowledge of Natural Language Processing (NLP). Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams. Strong problem-solving skills and attention to detail. Master’s or PhD in Computer Science, AI, or a related field is preferred, but not mandatory. Strong experience in the field is sufficient alternative. Prior experience in fashion e-commerce is advantageous. Languages: Python, Golang Engagement Type: Direct-hire Job Type : Permanent Location : Remote Working time: 2:30 PM IST to 11:30 PM IST How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 2500000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+11:00) Australia/Melbourne (AEDT) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Okkular) What do you need for this opportunity? Must have skills required: Communication Skills, problem-solvers, Agentic AI, AWS services (Lambda, FastAI, LangChain, Large Language Model (LLM), Natural Language Processing (NLP), Pytorch, Sagemaker, Step Functions), Go Lang, Python Okkular is Looking for: About The Job Company Description: We are a leading provider of fashion e-commerce solutions, leveraging generative AI to empower teams with innovative tools for merchandising and product discovery. Our mission is to enhance every product page with engaging customer-centric narratives, propelling accelerated growth and revenue generation. Join us in shaping the future of online fashion retail through cutting-edge technology and unparalleled creativity within the Greater Melbourne Area. Role Description: This is a full-time remote working position in India as a Senior AI Engineer . The Senior AI Engineer will be responsible for pattern recognition, neural network development, software development, and natural language processing tasks on a daily basis. Qualifications: Proficiency in sklearn, PyTorch, and fastai for implementing algorithms and training/improving models. Familiarity with Docker, AWS cloud services like Lambda, SageMaker, Bedrock. Familiarity with Streamlit. Knowledge of LangChain, LlamaIndex, Ollama, OpenRouter, and other relevant technologies. Expertise in pattern recognition and neural networks. Experience in Agentic AI development. Strong background in Computer Science and Software Development. Knowledge of Natural Language Processing (NLP). Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams. Strong problem-solving skills and attention to detail. Master’s or PhD in Computer Science, AI, or a related field is preferred, but not mandatory. Strong experience in the field is sufficient alternative. Prior experience in fashion e-commerce is advantageous. Languages: Python, Golang Engagement Type: Direct-hire Job Type : Permanent Location : Remote Working time: 2:30 PM IST to 11:30 PM IST How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 2500000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+11:00) Australia/Melbourne (AEDT) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Okkular) What do you need for this opportunity? Must have skills required: Communication Skills, problem-solvers, Agentic AI, AWS services (Lambda, FastAI, LangChain, Large Language Model (LLM), Natural Language Processing (NLP), Pytorch, Sagemaker, Step Functions), Go Lang, Python Okkular is Looking for: About The Job Company Description: We are a leading provider of fashion e-commerce solutions, leveraging generative AI to empower teams with innovative tools for merchandising and product discovery. Our mission is to enhance every product page with engaging customer-centric narratives, propelling accelerated growth and revenue generation. Join us in shaping the future of online fashion retail through cutting-edge technology and unparalleled creativity within the Greater Melbourne Area. Role Description: This is a full-time remote working position in India as a Senior AI Engineer . The Senior AI Engineer will be responsible for pattern recognition, neural network development, software development, and natural language processing tasks on a daily basis. Qualifications: Proficiency in sklearn, PyTorch, and fastai for implementing algorithms and training/improving models. Familiarity with Docker, AWS cloud services like Lambda, SageMaker, Bedrock. Familiarity with Streamlit. Knowledge of LangChain, LlamaIndex, Ollama, OpenRouter, and other relevant technologies. Expertise in pattern recognition and neural networks. Experience in Agentic AI development. Strong background in Computer Science and Software Development. Knowledge of Natural Language Processing (NLP). Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams. Strong problem-solving skills and attention to detail. Master’s or PhD in Computer Science, AI, or a related field is preferred, but not mandatory. Strong experience in the field is sufficient alternative. Prior experience in fashion e-commerce is advantageous. Languages: Python, Golang Engagement Type: Direct-hire Job Type : Permanent Location : Remote Working time: 2:30 PM IST to 11:30 PM IST How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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 Connect Adobe Connect, within Adobe DALP BU is one of the best online webinar and training delivery platform. The product has a huge customer base which has been using it for many years. The product has evolved magnificently over a period of time ensuring it stay on top of the latest tech stack. It offers opportunity to look at plethora of technologies on both client and server side. What You’ll Do: Hands-on Machine Learning Engineer who will release models in production. Develop classifiers, predictive models, and multi-variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning, and data mining. Special focus on R&D that will be building predictive models for conversion optimization, Bidding algorithms for pacing & optimization, Reinforcement learning problems, and Forecasting. Collaborate with Product Management to bring AI-based Assistive experiences to life. Socialize what’s possible now or in the near future to inform the roadmap. Responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops. Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers. Handle project scope and risks with data, analytics, and creative problem-solving. What you require: Solid foundation in machine learning, classifiers, statistical modeling and multivariate optimization techniques Experience with control systems, reinforcement learning problems, and contextual bandit algos. Experience with DNN frameworks like TensorFlow or PyTorch on large-scale data sets. TensorFlow, R, scikit, pandas Proficient in one or more: Python, Java/Scala, SQL, Hive, Spark Good to have - Git, Docker, Kubernetes GenAI, RAG pipelines a must have technology C loud based solutions is good to have General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets. Ideal Candidate Profile: A total of 10+ years of experience, including at least 5 years in technical roles involving Data Science, Machine Learning, or Statistics. Masters or B.Tech in Computer Science/ Statistics Comfort with ambiguity, adaptability to evolving priorities, and the ability to lead a team while working autonomously. Proven management experience with highly diverse and global teams. Demonstrated ability to influence technical and non-technical stakeholders. Proven ability to effectively manage in a high-growth, matrixed organization. Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases. An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road. A relentless pursuit of great customer experiences and continuous improvements to the product. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Description Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the role: We are currently seeking an AI Solution Architect , to join our team based in Noida. Key Responsibilities Design and architect enterprise-grade AI solutions with emphasis on transformer architectures and generative AI systems Develop and implement strategies for training, fine-tuning, and deploying open-source LLMs (Large Language Models) Implement cost-efficient and low-latency architectures for LLM inference services Build secure API frameworks for generative AI data transmission, processing, and reception Design optimized pipelines for processing multimodal data including text, images, and video for vector embeddings Lead technical discovery sessions with stakeholders to translate business requirements into AI solution designs Create detailed technical specifications, reference architectures, and implement roadmaps Engineer scalable solutions capable of handling increased request volumes and data storage needs Develop MVPs from proof-of-concepts, accelerating the development of the lifecycle of AI products Provide technical leadership for AI development teams using agile methodologies About you: 8+ years of experience in software development with at least 5 years focused on AI/ML solutions Extensive experience with transformer-based models (Anthropic, GPT, T5, LLaMA, Mistral) and generative AI technologies Proven expertise in fine-tuning and deploying open-source LLMs for production environments Deep knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS) and retrievalaugmented generation Strong proficiency in the Azure AI ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Azure Cognitive Services Experience with LLM optimization techniques including quantization, distillation, and prompt engineering Expertise in designing and implementing secure API frameworks with JWT, OAuth, and API gateways Demonstrated ability to create low-latency, high-throughput AI systems using efficient orchestration Hands-on experience with containerization (Docker), orchestration (Kubernetes), and microservices architectures Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain Experience with MLOps practices and CI/CD pipelines for model deployment and monitoring Strategic thinking to align AI solutions with broader business objectives and customer needs Collaborative approach to problem-solving with adaptability to rapidly evolving technologies Preferred Qualifications Experience with multi-modal AI systems integrating vision and language capabilities Knowledge of embedding models (CLIP, SBERT, Ada) and their applications Expertise in RAG (Retrieval-Augmented Generation) architecture and implementations Experience with Azure Kubernetes Service (AKS) for model deployment Familiarity with vector search optimization and semantic caching strategies Background in implementing AI guardrails and safety measures for generative AI systems Experience with streaming inference and real-time AI processing Knowledge of distributed training techniques and infrastructure Expertise in GPU/TPU utilization optimization for AI workloads Experience with enterprise data governance and compliance requirements for AI systems Creative perspective for presenting AI strategies and roadmaps to stakeholders with illustrative flow diagrams & engaging content Customer-focused mindset with emphasis on delivering tangible business outcomes Intellectual curiosity and passion for staying current with emerging AI technologies and implementing PoC level solutions to accelerate and inculcate these solutions in development team. Your career with us: Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development What’s next? Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. 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