4446 Tensorflow Jobs - Page 46

Job Description Summary The MR ACAI team is looking to hire a candidate with an advanced degree with a specialization in Deep Learning and proven credentials to develop applications in a domain of their prior experience. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Roles & Responsibilities Would you like to be part of a team that develops innovative applications for diagnostic MRI? We are looking for enthusiastic Masters or PhD students who would like to do their internship in our department focused on MRI Advanced Concepts and Applications Innovations (ACAI). In this position, you will learn more about DL-based application development for medical imaging devices and contribute towards developing innovative technology that focus on image quality, speed and/or efficient workflow. You will get insights into different aspects of the application development process, including requirements engineering, design, implementation, testing and documentation. Our products include complex algorithms for image reconstruction, image processing and analysis which run on specialized compute as well as Linux systems. As part of your daily work, you will also support test environments for verification and validation activities - execute manual tests, or create automated tests using scripting languages such as Python, analyze test results and collaborate with experts from various fields (including research, physics, biomedical sciences). The goal of the internship is to gain experience in application development and testing. You should expect to take over responsibility early on in the project(s). This includes requirement analysis, design, coding, testing and reporting progress/results to the supervisor. During the internship we will provide you with several opportunities to present your work. Of course, you can also take advantage of these opportunities outside of the internship and give talks at universities or other events. Desired Qualifications Pursuing an advanced degree in computer science or electrical engineering with a strong focus in signal processing and mathematics with a working knowledge of C++, Python and/or Matlab programming languages. Demonstrable knowledge of use of Pytorch &/or TensorFlow A keen interest in medical imaging technologies Good communication skills Good English language skills (written and spoken) Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support Additional Information Relocation Assistance Provided: Yes Show more Show less

Role Overview We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc. Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects. Show more Show less

Role Overview We are seeking a highly skilled and motivated Senior Data Scientist with deep expertise in Generative AI , Machine Learning , Deep Learning , and advanced Data Analytics . The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: Network optimization Customer churn prediction Usage pattern modeling Fraud detection GenAI applications (e.g., personalized recommendations, customer service automation) Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc. Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions. Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured). Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability). Optimize model performance and latency in production, especially for real-time and edge applications. Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities. Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills 8+ years of industry experience in Machine Learning, Deep Learning, and Advanced Analytics. Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines). Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc. Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps). Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.). Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines. Excellent problem-solving skills with a strong analytical mindset and business acumen. Prior experience working on Telecom datasets or use cases is a strong plus. Preferred Skills Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Exposure to real-time ML inference and streaming data platforms (Kafka, Flink). Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment. Experience mentoring teams or leading small AI/ML projects. Show more Show less

Roles & Responsibilities Core Skills Key Responsibilities Lead OT architecture design for mining operations, including drilling, hauling, crushing, stockpiling, processing, and transportation. Design hybrid (on-prem + edge + cloud) solutions that handle poor connectivity, latency, and harsh physical environments. Architect integration between OT and enterprise systems (e.g., ERP, fleet management, historian, CMMS). Work closely with business analysts to ensure technical solutions align with operational workflows and business goals. Select and implement appropriate technologies (e.g., MQTT, OPC-UA, edge gateways, cloud connectors). Design OT architectures that enable deployment of AI/ML models at the edge, on-premises, and in the cloud for applications such as predictive maintenance, equipment health monitoring, and operational optimization. Collaborate with data scientists and AI/ML engineers to ensure appropriate data capture, preprocessing, and feature engineering from OT systems (SCADA, PLCs, condition monitoring sensors, etc.). Integrate AI-driven analytics and insights into operator dashboards and IROC visualizations, ensuring actionable intelligence for mining operations. Support model lifecycle considerations in OT environments—edge inferencing, model updates, offline inference, and fail-safe design. Ensure designs are scalable, secure, fault-tolerant, and compliant with industrial security standards (IEC 62443, NIST CSF). Guide the development and deployment of monitoring systems for IROC-based centralized operations. Required Skills And Qualifications 8–10 years of experience in architecting OT solutions for mining operations, particularly in open-pit mining. Deep expertise in OT components: SCADA, PLCs, DCS, telemetry, real-time data acquisition, condition monitoring. Knowledge of industrial communication protocols (OPC UA, Modbus, PROFINET, MQTT). Experience with edge computing platforms (e.g., Azure IoT Edge, AWS IoT Greengrass) and industrial gateways. Proven ability to design solutions tolerant of intermittent connectivity, high latency, and remote geographies. Working knowledge of AI/ML use cases in industrial and mining operations, such as predictive maintenance, equipment utilization analysis, energy optimization, and safety anomaly detection. Familiarity with deployment of AI models on edge platforms (e.g., NVIDIA Jetson, Azure IoT Edge, AWS Greengrass) and their integration with OT systems. Experience designing OT data pipelines to support real-time and historical data needs for AI analytics. Strong understanding of IT/OT convergence principles and industrial cybersecurity. Minimum 3 years of direct experience working with or for a mining organization, with a solid understanding of mining operational challenges. Education Bachelor’s or Master’s in Computer Science, Control Systems Engineering, or relevant fields. Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): AI/ML Architecture, TensorFlow, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Role Description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 26,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at . You Are We are looking for experienced candidate around 5 years in artificial intelligence deep learning framework. Develop and deploy deep learning architectures using Tensorflow and pyTorch. Optimize model performance, including hyper parameter tuning and quantization. Collaborate with data scientists, engineers, business teams to define ML use cases. Monitor and improve model performance post-deployment.. Therefore, it’s essential that you are skilled at problem solving, solution design, and high-quality coding. The Opportunity Research and evaluate new algorithms and techniques to improve model performance. Contribute to the development of innovative machine learning solutions Develop AL/ML applications and data pipelines for data preprocessing and feature engineering. Engage in research activities to explore the latest advancements in generative AI techniques and algorithms. Stay updated with current literature and emerging trends in the field. Troubleshoot and resolve technical issues related to machine learning models and software systems Communicate complex technical concepts effectively to both technical and non-technical audiences What You Need Experience with Tensorflow, PytTorch and deep learning model development. Experience with ML model deployment(Docker, Kubernetes, Tensorflow serving, Torchscript) Knowledge of CNNs, RNNs, Transformers, GANs and other advance models. Understanding of data structures, data modeling and software architecture Ability to write robust code in Python. Outstanding analytical and problem-solving skills What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the center of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honor our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Artificial Intelligence,Machine Learning,Cnn,Python Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 9th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 9th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 9th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 9th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

🧠 Data Science Intern (Remote) 🌐 🔍 Do you love exploring data, building models, and uncovering insights with the power of machine learning and statistics? Ready to begin your data science journey — all from anywhere in the world? This role is for you! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Data Science Intern to join our remote team! This internship is perfect for students or recent graduates who want hands-on experience with real-world datasets, algorithms, and predictive analytics. You’ll work on data cleaning, exploration, modeling, and visualization to help solve real problems and deliver valuable insights — all while collaborating with a friendly, remote-first team. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Schedule – Learn and contribute on your time ⏰ ✅ Real-World Experience – Apply data science to real projects 📊 ✅ Skill Building – Sharpen your Python, ML, and data analysis toolkit 🛠️ ✅ Mentorship – Learn from experienced data professionals 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Data Science, Computer Science, Statistics, or a related field 🧠 Solid understanding of statistics, data analysis, and machine learning concepts 🛠️ Comfortable with Python, Pandas, NumPy, and tools like Jupyter Notebook; knowledge of scikit-learn or TensorFlow is a plus 📈 Passionate about solving problems with data and eager to learn 💬 Self-motivated and able to work independently in a remote setting 📅 Apply By: June 10th Excited to take your first step into the data science world? We’d love to hear from you! Let’s build models and make discoveries through data — together! 📊🧠💡 Show more Show less

🤖 Machine Learning Intern (Remote) 🌐 🔍 Are you passionate about AI, algorithms, and building models that learn and evolve? Ready to kickstart your machine learning journey from anywhere in the world? This is your chance! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Machine Learning Intern to join our remote team! This internship is perfect for students or recent graduates eager to gain hands-on experience with machine learning techniques, data processing, and model development. You’ll work on real datasets, build and test machine learning models, and help bring AI-powered solutions to life — all while collaborating in a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – Learn and contribute on your schedule ⏰ ✅ Real-World Projects – Apply ML concepts to practical problems 📊 ✅ Skill Building – Develop Python, TensorFlow, scikit-learn, and more 🛠️ ✅ Mentorship – Learn from experienced data scientists and engineers 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Computer Science, Data Science, AI, or related fields 🧠 Strong understanding of machine learning fundamentals and algorithms 🛠️ Experience with Python and ML libraries like TensorFlow, PyTorch, or scikit-learn 📈 Passionate about AI and eager to learn and grow 💬 Self-motivated and comfortable working independently in a remote setting 📅 Apply By: June 10th Excited to start your career in machine learning and build impactful AI solutions? We’d love to hear from you! Let’s innovate and solve problems with machine learning — together! 🤖📈💡 Show more Show less

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

Company Description Ritz Media World is the most trusted advertising agency in the Delhi/NCR region, as awarded by ET. With over 15 years of experience, we have a proven track record of success through our wide range of advertising and creative services. We are dedicated to meeting the diverse needs of our clients and delivering impactful advertising campaigns. Role Description This is a full-time on-site role for a Generative AI Engineer, located in Noida. The Generative AI Engineer will be responsible for developing and implementing AI algorithms and models, working on AI-driven projects, conducting research to enhance generative AI capabilities, and collaborating with cross-functional teams to integrate AI solutions. The role also includes debugging and optimizing AI systems to ensure high performance and reliability. Qualifications Strong understanding of AI algorithms, machine learning, and deep learning Experience with generative AI models and frameworks Proficiency in programming languages such as Python, TensorFlow, and PyTorch Research and problem-solving skills in the AI/ML domain Excellent analytical and critical thinking skills Ability to work collaboratively in a team environment Master's degree in Computer Science, Artificial Intelligence, or a related field Experience in the advertising or creative industry is a plus Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Role Overview UPS Data Science and Machine Learning team is seeking a highly skilled and experienced Lead Machine Learning Engineer to manage our AI, ML, GenAI application focused on Cross Border logistics. This position leverages continuous integration and deployment of the best practices, including test automation and monitoring, to ensure successful deployment of optimal ML models and analytical systems. You will be responsible for the end-to-end lifecycle of AI models, from experimentation and fine-tuning to deployment and management in production. A strong background in prompt engineering and practical experience with either Google Cloud's Vertex AI platform is essential for this role. You will also provide technical leadership and mentorship to other members of the AI/ML team. Key Responsibilities Lead the development and deployment of generative AI solutions utilizing LLMs, SLMs, and FMs for various applications (e.g., content generation, chatbots, summarization, code generation, etc.). Architect and implement robust and scalable infrastructure for training, fine-tuning, and serving large-scale AI models, leveraging either Vertex AI. Drive the fine-tuning and adaptation of pre-trained models using proprietary data to achieve state-of-the-art performance on specific tasks. Develop and implement effective prompt engineering strategies to elicit desired outputs and control the behavior of generative models. Manage the lifecycle of deployed models, production support, including monitoring performance, identifying areas for improvement, and implementing necessary updates or retraining. Collaborate closely with cross-functional teams (e.g., product, engineering, research) to understand business requirements and translate them into technical solutions. Provide technical leadership and mentorship to junior machine learning engineers, fostering a culture of learning and innovation. Ensure the responsible and ethical development and deployment of AI models, considering factors such as bias, fairness, and privacy. Stay up to date with latest advancements in generative AI, LLMs, and related technologies, and evaluate their potential application within the company. Document technical designs, implementation details, and deployment processes. Troubleshoot and resolve issues related to model performance and deployment. Required Skills And Experience Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 5-8 years of hands-on experience in building, deploying, and managing machine learning models in a production environment. Demonstrable experience in managing, deploying, and fine-tuning large language models (LLMs), small language models (SLMs), and foundation models (FMs). Significant hands-on experience with prompt engineering techniques for various generative AI tasks. Proven experience working with either Google Cloud's Vertex AI platform platform. including experience with their respective model registries, deployment tools, and MLOps features. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, Transformers). Experience with cloud computing platforms (beyond Vertex AI is a plus, e.g. Azure). Solid understanding of machine learning principles, deep learning architectures, and evaluation metrics. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Experience with MLOps practices and tools for continuous integration and continuous delivery (CI/CD) of ML models is highly desirable. Experience with version control systems (e.g., Git). Bonus Points Experience with model governance frameworks and implementing ethical AI practices. Experience with specific generative AI use cases relevant to Logistics industry. Publications or contributions to open-source projects, technical blogs, or industry conferences are considered a plus Familiarity with data engineering pipelines and tools. Familiarity with emerging trends in generative AI, reinforcement learning from human feedback (RLHF), and federated learning approaches. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

🧠 Job Opening: Assistant Professor – Artificial Intelligence & Machine Learning Location: Himalayan Group of Professional Institutions, Kala Amb, Himachal Pradesh Institution Website: www.hgpi.in 📌 About Us: Himalayan Group of Professional Institutions (HGPI) is a premier educational hub located in the serene hills of Himachal Pradesh, committed to academic excellence, industry integration, and research innovation. We are expanding our AI & ML department to shape the next generation of tech leaders. 👨‍🏫 Position: Assistant Professor – Artificial Intelligence & Machine Learning Department: Computer Science & Engineering Employment Type: Full-Time 🎯 Eligibility Criteria: M.Tech or Ph.D. in Computer Science / Artificial Intelligence / Data Science / Machine Learning or relevant specialization. Candidates from IITs/NITs will be preferred . Freshers with strong academic background and passion for teaching & research are encouraged to apply . 🛠 Key Responsibilities: Deliver lectures in AI, ML, Deep Learning, and related subjects. Guide students in projects and research activities. Engage in curriculum development, lab work, and academic innovations. Participate in departmental and institutional activities. 💼 Skills & Expertise: Strong understanding of AI/ML concepts, Python, and tools like TensorFlow, PyTorch, etc. Passionate about teaching, mentoring, and academic development. Good communication and interpersonal skills. 📩 How to Apply: Send your CV with a cover letter to jobs@hgpi.in with the subject line: Application for Assistant Professor – AI & ML Show more Show less

AI/ML Intern: Real-World Impact Awaits at SWAN Techpro! 📍 Location: Pimple Saudagar, Pune 🕒 Internship Duration: 3 Months with Opportunity for Full-Time Placement 🎓 Experience: BE Freshers / Recent Graduates Ready to apply your AI/ML knowledge to real-world challenges? Join SWAN Techpro Private Limited as an AI/ML Intern and gain hands-on experience building cutting-edge solutions. This is your chance to contribute to impactful projects, learn from experienced professionals, and kickstart your career in artificial intelligence and machine learning! ✅ We're Looking for Someone Who Has: * A BE degree in a relevant field (e.g., Computer Engineering, IT, E&TC). * A solid understanding of AI/ML fundamentals and relevant programming languages (e.g., Python). * Strong problem-solving skills and a keen eye for detail. * The ability to collaborate effectively in a team environment. * A strong desire to learn and implement new AI/ML techniques. * Experience with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus. * Excellent communication skills to articulate technical concepts. 🎯 What You'll Gain: * Hands-on experience in developing and deploying AI/ML models. * Mentorship from experienced AI/ML engineers and data scientists. * Real-world projects that will enhance your portfolio. * Certificate of internship + letter of recommendation. * Opportunity for full-time conversion based on performance. * A collaborative and innovative work culture with ample learning opportunities. 🎓 BE Freshers & Recent Graduates encouraged to apply! Accelerate your AI/ML career with us and contribute to the future of technology. 📩 Apply Now by sending your CV to hrdesk@swantechpro.com Show more Show less

MindInventory is a leading digital transformation company in Ahmedabad that helps businesses of all sizes adopt cutting-edge technologies to achieve their digital ambitions. We are committed to providing practical tech solutions that drive growth with measurable results. Experience: 3-5 Years Location: Ahmedabad, Gujarat Type: Full time, Work From Office Roles And Responsibilities Write reusable, testable, and efficient code. Design and implement of low-latency, high-availability, and performant applications. Integration of user-facing elements developed by front-end developers with server side logic. Implementation of security and data protection. Integration of data storage solutions. Performance tuning, improvement, balancing, usability, automation. Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features. Good understanding of Python, Django and Flask. Good exposure on python scientific libraries ( Numpy, Pandas, Tensorflow). Strong knowledge on data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services. Experience in Microservices, Big data technologies will be a plus. Good grasp of algorithms, memory management and multithreaded programming. Good to have - Mysql, Redis, ElasticSearch. Able to fit in well within an informal startup environment and to provide hands-on management. High energy level and untiring commitment to drive oneself & the team towards goals. Expert in Python, with knowledge of at least one Python web framework (such as Django,Flask,etc). Should have done development on Django and other UI web Frameworks. Basic understanding HTML, CSS, JavaScript, JQuery, JS Libraries like AngularJs. Implementing SOAP based and RESTful services. UNIX/LINUX experience is an added advantage. Should have experience in Database & SQL. Good understanding of server-side templating languages such as Jinja 2, Mako, etc. Strong unit test and debugging skills. Proficient understanding of code versioning tools (such as Git, Mercurial or SVN). Skills:- Python, FastAPI and Microservices Show more Show less

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity : Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. About The Role We are seeking an innovative and skilled Principal AI/ML Engineer with a strong focus on designing and deploying scalable machine learning solutions. This role requires a strategic thinker who can architect production-ready solutions, collaborate closely with cross-functional teams, and ensure adherence to Takeda’s technical standards through participation in the Architecture Council. The ideal candidate has extensive experience in operationalizing ML models, MLOps workflows, and building systems aligned with healthcare standards. By leveraging cutting-edge machine learning and engineering principles, this role supports Takeda’s global mission of delivering transformative therapies to patients worldwide. How You Will Contribute Architect scalable and secure machine learning systems that integrate with Takeda’s enterprise platforms, including R&D, manufacturing, and clinical trial operations. Design and implement pipelines for model deployment, monitoring, and retraining using advanced MLOps tools such as MLflow, Airflow, and Databricks. Operationalize AI/ML models for production environments, ensuring efficient CI/CD workflows and reproducibility. Collaborate with Takeda’s Architecture Council to propose and refine AI/ML system designs, balancing technical excellence with strategic alignment. Implement monitoring systems to track model performance (accuracy, latency, drift) in a production setting, using tools such as Prometheus or Grafana. Ensure compliance with industry regulations (e.g., GxP, GDPR) and Takeda’s ethical AI standards in system deployment. Identify use cases where machine learning can deliver business value, and propose enterprise-level solutions aligned to strategic goals. Work with Databricks tools and platforms for model management and data workflows, optimizing solutions for scalability. Manage and document the lifecycle of deployed ML systems, including versioning, updates, and data flow architecture. Drive adoption of standardized architecture and MLOps frameworks across disparate teams within Takeda. Skills And Qualifications Education Bachelors or Master’s or Ph.D. in Computer Science, Software Engineering, Data Science, or related field. Experience At least 6-8 years of experience in machine learning system architecture, deployment, and MLOps, with a significant focus on operationalizing ML at scale. Proven track record in designing and advocating ML/AI solutions within enterprise architecture frameworks and council-level decision-making. Technical Skills Proficiency in deploying and managing machine learning pipelines using MLOps tools like MLflow, Airflow, Databricks, or Clear ML. Strong programming skills in Python and experience with machine learning libraries such as Scikit-learn, XGBoost, LightGBM, and TensorFlow. Deep understanding of CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions) for automated model deployment. Familiarity with Databricks tools and services for scalable data workflows and model management. Expertise in building robust observability and monitoring systems to track ML systems in production. Hands-on experience with classical machine learning techniques, such as random forests, decision trees, SVMs, and clustering methods. Knowledge of infrastructure-as-code tools like Terraform or CloudFormation to enable automated deployments. Experience in handling regulatory considerations and compliance in healthcare AI/ML implementations (e.g., GxP, GDPR). Soft Skills Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills for influencing technical and non-technical stakeholders. Leadership ability to mentor teams and drive architecture-standardization initiatives. Ability to manage projects independently and advocate for AI/ML adoption across Takeda. Preferred Qualifications Real-world experience operationalizing machine learning for pharmaceutical domains, including drug discovery, patient stratification, and manufacturing process optimization. Familiarity with ethical AI principles and frameworks, aligned with FAIR data standards in healthcare. Publications or contributions to AI research or MLOps tooling communities. WHAT TAKEDA ICC INDIA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs No Meeting Days Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position Summary: Adobe Firefly Gen AI Models and services group seeks a Firefly models & Services architect for generative AI models. We need a dedicated architect with expertise in machine learning to support the creation, improvement, and deployment of model pipelines for Adobe's top products in various domains. As a Firefly model architect, you will join an outstanding team of ML and service engineers building the future of digital experiences. You will help set long-term technical strategy and work across multiple Adobe teams to architect the pipelines of the future foundation models at Adobe. You will make important architecture decisions and prioritize model optimization experiments. You will have the opportunity to develop novel ideas to advance the creative world through features in Adobe's products and reach millions of people worldwide! Job Responsibilities Help architect and optimize large-scale foundation model pipelines in Generative AI Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Collaborate with outstanding Applied researchers and engineers to bring ideas to production Provide technical leadership and mentorship for junior team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 12+ years of experience 3+ years as a Lead/Architect Excellent communication and technical leadership skills Experience in tech leading a large number of contributors on time-sensitive and business-critical GenAI projects Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: Experience training or optimizing models (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms Good publication record in Computer Science, AI/ML, or related fields Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

About Us All people need connectivity. The Rakuten Group is reinventing telecom by greatly reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. The mission is to connect everybody and enable all to be. Rakuten. Telecom Invented. Job Description Job Title: Senior AI/ML Engineer (Generative AI & ML Ops) Minimum 8+ years of experience in AI/ML development. Location : Bangalore Required Skills And Expertise AI/ML Strategy and Leadership: Define the AI/ML strategy and roadmap aligned with the product vision. Identify and prioritize AI/ML use cases, including classical ML, Generative AI, and Agentic AI, relevant to our product offerings. Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members. Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems. AI/ML Development: Proficient in Python programming and libraries like NumPy, Pandas, Scikit-learn, and Matplotlib. Strong understanding of machine learning algorithms, deep learning architectures, and generative AI models. Design, develop, and deploy classical machine learning models, including supervised, unsupervised, and reinforcement learningtechniques. Hands on Experience in AI/ML Framework like: Scikit-learn, XG Boost, TensorFlow, Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models). Experience with feature engineering, model evaluation, and hyperparameter tuning. Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents. Build and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific use cases. Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems. Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in dynamic environments. Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks. Optimize models for performance, scalability, and cost-efficiency. Job Requirement MLOps And DevOps For AI/ML Establish and maintain an end-to-end MLOps pipeline for model development, deployment, monitoring, and retraining. Automate model training, testing, and deployment workflows using CI/CD pipelines. Implement robust version control for datasets, models, and code. Monitor model performance in production and implement feedback loops for continuous improvement. Proficiency in MLOps tools and platforms such as MLflow, Kubeflow, TFX, SageMaker. Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI for AI/ML workflows. Expertise in deploying models on cloud platforms (AWS, Azure, GCP) Show more Show less

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Position Description Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services. The chosen candidate will be part of Lenovo Solutions Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses. This role is primarily internal but includes some customer-facing work. This is a remote-only role. In This Role You Will Support the development and delivery of AI service offerings for enterprise, research, and government customers. Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps. Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads. Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps. Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies. Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements. Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners. Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners. Act as the technical lead for AI-based infrastructure solutions, collaborating with the AI Practice leader throughout the service offering lifecycle, including: Assisting in the creation of new AI service offerings, from concept development to implementation guidance. Leading initial implementations alongside Technical Consultants. Deliver presentations in support of: Offering development and go-to-market strategies. Field enablement and training initiatives. Service delivery execution. Assist in documentation of project requirements, statements of work, and service descriptions. Collaborate with business partners to enhance AI solution capabilities and integration. Qualifications Bachelor's degree, MBA, or equivalent experience required. 7+ years of experience architecting and deploying AI/ML solutions. Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure. Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions. Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices. Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering. Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Certification in AI/ML technologies or cloud-based AI solutions preferred. Preferred Skills Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments. Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads. Experience designing and implementing highly available, secure, and scalable AI solutions. Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization. Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Experience with AI model monitoring, observability, and continuous learning frameworks. Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives. Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing. Experience in systems integration and managing direct/channel sales engagements. Strong understanding of AI containerization, workflow management, and cloud-based AI training. Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership. Experience in a customer-facing AI services environment, providing professional and managed services. TOGAF 9 Certified or equivalent architecture framework certification preferred. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less

Job Description Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and encouraging team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We develop a growing internal community and are committed to creating a workplace that looks like the world that we serve. Pay And Benefits Competitive compensation, including base pay and annual incentive. Comprehensive health and life insurance and well-being benefits, based on location. Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (Tuesdays, Wednesdays, and a day unique to each team or employee). The Impact You Will Have In This Role We are seeking a talented and expert Data Scientist to join our team. The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization. What You'll Do Develop and deploy machine learning models to tackle complex business problems and drive decision-making. This includes tasks such as data preprocessing, feature engineering, model training, and evaluation, using techniques such as regression, classification, clustering, and deep learning. Design and implement data pipelines for data extraction, transformation, and loading using Python, Snowflake, and Oracle. This involves understanding and working with various data sources and formats, ensuring data quality and integrity throughout the process. Build and maintain interactive dashboards and reports in Power BI to visualize key metrics and trends. This includes designing visually appealing and informative visualizations for collaborators, utilizing advanced DAX calculations and custom visuals, and optimizing report performance. Apply Power BI's advanced features such as Power Query, Power Pivot, and Power View to handle large datasets efficiently and create dynamic and interactive reports. Build and optimize Power Apps solutions to automate business processes and enhance productivity. This involves understanding user requirements and designing user-friendly interfaces, using Power Apps' capabilities to streamline workflows and improve efficiency. Develop and deploy workflows and business process automations using Power Automate. This includes automating repetitive tasks, integrating systems, and orchestrating complex workflows to improve operational efficiency and reduce manual effort. Collaborate with cross-functional teams to see opportunities for leveraging data and analytics to drive business value. This involves understanding business requirements, conducting data analysis, and translating insights into actionable recommendations and solutions. Provide technical leadership and mentorship to junior team members. This includes sharing standard processes, providing guidance on technical issues, and fostering a culture of continuous learning and innovation. Education Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Talents Needed For Success 7+ years of experience in data science, analytics, or related roles, with a focus on machine learning and data-driven decision-making. Proven experience in Python programming and machine learning techniques, with a deep understanding of algorithms and data structures. Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly preferred. Strong understanding of different machine learning algorithms and their applications, including supervised learning, unsupervised learning, and reinforcement learning. Expertise in data visualization and dashboard development using Power BI. Experience with other visualization tools such as Tableau or Qlik is a plus. Proficient in creating complex calculations, measures, and KPIs in Power BI to derive actionable insights from data. Strong proficiency in Power Apps development, including canvas apps, model-driven apps, and custom connectors. Experience in building and deploying workflows and automations using Power Automate. Hands-on experience with Snowflake and Oracle database technologies. Advanced skills in SQL programming, with experience in writing complex queries and stored procedures. Excellent analytical and problem-solving abilities, with a keen attention to detail and a passion for data-driven decision-making. Effective communication skills and ability to collaborate with cross-functional teams, translating technical concepts into business insights and recommendations. SharePoint knowledge is a plus. Nice To Have Skills Communicates openly keeping everyone across the organization advised. Strong communicator who is a self-starter and highly motivated individual Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Python 4+ years of experience in Machine learning/Data Science, and Python. 4+ years of experience in NLP/GenAI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead. Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions. Audit the different text data assets of the CES department and determine how to analyze these data assets for insights. Prepare high-quality training data with appropriate coverage of the ESG business domain. Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems. Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines. Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges. Required Skills (Mandatory) At least four years work experience in machine learning, Generative AI (GenAI) with experience in at least two of the following deep learning frameworks: SciKit-Learn, TensorFlow, MLflow, PyTorch, etc. At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architectures. In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc. Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents). Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts. Proficient with parallel processing APIs such as Apache Spark and PySpark. Excellent problem-solving and analytical skills Show more Show less

DESCRIPTION DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key job responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute Support on-call activities for critical issues Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD, or a Master's degree and experience in CS, CE, ML or related field Knowledge of programming languages such as C/C++, Python, Java or Perl Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Preferred Qualifications 5+ years of building machine learning models or developing algorithms for business application experience Have publications at top-tier peer-reviewed conferences or journals Track record of diving into data to discover hidden patterns and conducting error/deviation analysis Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Exceptional level of organization and strong attention to detail Comfortable working in a fast paced, highly collaborative, dynamic work environment BASIC QUALIFICATIONS 5+ years of building machine learning models for business application experience PhD, or Master's degree and 10+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A2848605 Show more Show less

PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE) is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning. AI/ML & Credit Risk Analytics Professional – Job Specification Candidate would be responsible for developing, validating, auditing, and maintaining AI/ML-powered credit risk models. Candidates would be expected to support financial institutions in meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level: 2–6 years of relevant experience Location: Bangalore Role Overview We are looking for high-caliber professionals with strong foundations in credit risk modeling and hands-on experience in AI/ML techniques. The ideal candidate will contribute to the development and validation of regulatory and strategic risk models, while also applying machine learning and generative AI techniques to enhance model accuracy, efficiency, and interpretability. Key Responsibilities Develop, validate, and document credit risk models (PD, LGD, EAD) for retail and wholesale portfolios across regulatory (CECL, IFRS 9, Basel) and business-use contexts. Apply AI/ML algorithms (e.g., LightGBM, XGBoost, Random Forest, Neural Networks) to improve prediction power and model performance beyond traditional approaches. Implement Generative AI and LLM-based applications using RAG pipelines, document intelligence, and model documentation automation. Experience with agentic frameworks like Autogen, LangChain, or similar would be helpful. Experience of development and deployment of models in cloud-based platforms such as Azure, AWS, GCP etc. Design explainable AI solutions by incorporating techniques like SHAP, LIME, and feature attribution methods to enhance transparency in high-stakes modeling environments. Partner with cross-functional teams, including business stakeholders, technology teams, and model governance, to ensure model alignment with business objectives and regulatory expectations. Contribute to innovation initiatives and support proposal development, thought leadership, and solution architecture in the AI/ML space. Required Skills & Experience 2–6 years of total experience, with minimum 2 years in AI/ML or GenAI model development or validation. Strong understanding of credit risk modeling frameworks, scorecard development, and risk metrics (e.g., RWA, Expected Loss, Economic Capital). Proficient in Python and SQL, with hands-on experience using ML libraries such as scikit-learn, Tensorflow, Pytorch and transformer-based LLM packages Familiarity with regulatory standards such as CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR 11-7, and model governance best practices. Exposure to cloud environments (Azure preferred), version control (Git), and workflow automation tools. Experience with credit bureau data, vendor models (e.g., FICO, Moody’s, S&P), and financial benchmarking is a plus. Ability to clearly communicate complex technical content to non-technical stakeholders through reports, dashboards, and presentations. Education & Certifications Master’s degree or higher in Statistics, Mathematics, Economics, Data Science, Engineering, or Finance. Professional certifications such as FRM, CFA, CQF, or in product management equivalent are preferred. Contributions to opensource AI / ML projects and competitions is preferred Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. AI/ML & Credit Risk Analytics Professional – Job Specification Candidate would be responsible for developing, validating, auditing, and maintaining AI/ML-powered credit risk models. Candidates would be expected to support financial institutions in meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level: 2–6 years of relevant experience Location: Bangalore Role Overview We are looking for high-caliber professionals with strong foundations in credit risk modeling and hands-on experience in AI/ML techniques. The ideal candidate will contribute to the development and validation of regulatory and strategic risk models, while also applying machine learning and generative AI techniques to enhance model accuracy, efficiency, and interpretability. Key Responsibilities Develop, validate, and document credit risk models (PD, LGD, EAD) for retail and wholesale portfolios across regulatory (CECL, IFRS 9, Basel) and business-use contexts. Apply AI/ML algorithms (e.g., LightGBM, XGBoost, Random Forest, Neural Networks) to improve prediction power and model performance beyond traditional approaches. Implement Generative AI and LLM-based applications using RAG pipelines, document intelligence, and model documentation automation. Experience with agentic frameworks like Autogen, LangChain, or similar would be helpful. Experience of development and deployment of models in cloud-based platforms such as Azure, AWS, GCP etc. Design explainable AI solutions by incorporating techniques like SHAP, LIME, and feature attribution methods to enhance transparency in high-stakes modeling environments. Partner with cross-functional teams, including business stakeholders, technology teams, and model governance, to ensure model alignment with business objectives and regulatory expectations. Contribute to innovation initiatives and support proposal development, thought leadership, and solution architecture in the AI/ML space. Required Skills & Experience 2–6 years of total experience, with minimum 2 years in AI/ML or GenAI model development or validation. Strong understanding of credit risk modeling frameworks, scorecard development, and risk metrics (e.g., RWA, Expected Loss, Economic Capital). Proficient in Python and SQL, with hands-on experience using ML libraries such as scikit-learn, Tensorflow, Pytorch and transformer-based LLM packages Familiarity with regulatory standards such as CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR 11-7, and model governance best practices. Exposure to cloud environments (Azure preferred), version control (Git), and workflow automation tools. Experience with credit bureau data, vendor models (e.g., FICO, Moody’s, S&P), and financial benchmarking is a plus. Ability to clearly communicate complex technical content to non-technical stakeholders through reports, dashboards, and presentations. Education & Certifications Master’s degree or higher in Statistics, Mathematics, Economics, Data Science, Engineering, or Finance. Professional certifications such as FRM, CFA, CQF, or in product management equivalent are preferred. Contributions to opensource AI / ML projects and competitions is preferred Show more Show less