48165 Machine Learning Jobs - Page 31

AI Applications Engineer Join Oracle Applications Labs, where we design, build, and operate Oracle s mission-critical AI-based enterprise applications including systems that automate our AI cloud data centers. Our mission is to showcase Oracle s AI-driven products and technologies, deploying them internally to support Oracle s growth as a global AI leader. As part of our global team of data scientists, AI engineers, program managers, and scrum masters, you ll contribute to transforming Oracle into an industry leader in AI. Essential Skills Proficiency in programming languages relevant to AI (e.g., Python, Java). Familiarity with modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorc...

Join Oracle Applications Labs, where we design, build, and operate Oracle s mission-critical AI-based enterprise applications including systems that automate our AI cloud data centers. Our mission is to showcase Oracle s AI-driven products and technologies, deploying them internally to support Oracle s growth as a global AI leader. As part of our Cloud Integration Team of data scientists, AI engineers, program managers, and scrum masters, you ll contribute to transforming Oracle into an industry leader in AI. Our integration team collaborates closely across functions to seamlessly connect enterprise platforms, deliver scalable solutions, and ensure the reliable flow of data throughout Oracle...

Key Responsibilities Design, develop, and support AI-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval mented Generation [RAG], Model context protocol [MCP], Large Language Models). Apply classical AI techniques such as clustering, classification, regression, te Carlo simulations, and Bayesian blending. Participate in system planning, scheduling, and implementation for enterprise-scale AI applications. Build new product features and/or enhance existing features to automate complex business flows and operations. Collaborate with cross-functional teams to understand requirements and deliver in ative AI-driven solutions. Ensure application scalabil...

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! Adobe Document Cloud Services in b...

RapidCanvas is the trusted partner for transforming your business with AI. We offer the only hybrid enterprise AI platform that combines autonomous agents with human experts to make enterprise-grade AI accessible to all organizations without the massive investment or deep technical expertise it used to take. Our unique approach delivers measurable business outcomes 10X faster at 80% lower cost, helping global leaders in manufacturing, retail and consumer goods, financial services, and infrastructure turn what was once impossible into practical, everyday reality. The Opportunity We re hiring customer-facing specialists focusing on AI Success & Solutions to lead end-to-end delivery of bespoke ...

Ready to shape the future of data Matillion is the intelligent data integration platform. Were changing how the world works with data - and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we re shaping the future of data engineering with Maia - our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. About the Role This is the definitive performance ownership role for the ...

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted ficial institution. Thats why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As an Architect III at JPMorgan Chase within the Technology Goverce team, you will expand our goverce remit and support engineers in meeting firm standards and regulato...

At In accer, we believe that data is the key to transforming healthcare. As a Lead Data Scientist, you will play a pivotal role in our mission to harness the power of data to drive better healthcare outcomes. Your deep expertise in data science and machine learning will help shape our analytics strategy and influence critical ision-making processes. You will lead a talented team of data scientists and collaborate closely with cross-functional teams to design and implement in ative solutions that address real-world healthcare challenges. Youll build and oversee advanced machine learning models to derive insights from vast datasets, ensuring that our products and services meet the needs of our...

JD Exp 6 to 8 yrs location- Bangalore 1. Strong foundation in statistics, machine learning and best practices for model design and evaluation 2. Proven experience with deep learning architectures such as transformers, CNNs or RNNs 3. Hands-on Exp in generative AI, prompt engineering, retrieval- mented generation and agentic AI frameworks such as LangGraph, ADK or MCP 4. Exp in Azure microservices for model development, deployment, orchestration and lifecycle management including Functions, AKS, Container Apps, ADLS and App Insights 5. Proficiency in Python, PyTorch or TensorFlow, SQL and data processing pipelines

Join us as a Data Scientist We ll look to you to lead, drive and embed the design and implementation of data science tools and methods which harness our data in order to drive customer solutions You ll also proactively bring together statistical, mathematical, machine learning and software engineering skills to develop and implement ethically sound models end-to-end This is an opportunity for you to hone your skills and make an impact by applying a software engineering and product development lens to solve complex business problems Were offering this role at vice president level What youll do As a Data Scientist, you ll use data translation skills to work closely with business stakeholders t...

RapidCanvas is the trusted partner for transforming your business with AI, pioneering the only hybrid enterprise AI platform that combines autonomous agents with human experts. We make enterprise-grade AI accessible to all organizations, helping them unlock the hidden value in their data without requiring the technical expertise or massive investment it used to take. Our unique approach delivers measurable business outcomes 10X faster at 80% lower cost compared to traditional solutions, turning what was once impossible into practical, everyday reality. RapidCanvas works with industry leaders in manufacturing, retail and consumer goods, financial services, and infrastructure to drive real bus...

Customer Facing Data Scientist (CFDS) About Us: RapidCanvas is the trusted partner for transforming your business with AI, pioneering the only hybrid enterprise AI platform that combines autonomous agents with human experts. We make enterprise-grade AI accessible to all organizations, helping them unlock the hidden value in their data without requiring the technical expertise or massive investment it used to take. Our unique approach delivers measurable business outcomes 10X faster at 80% lower cost compared to traditional solutions, turning what was once impossible into practical, everyday reality. RapidCanvas works with industry leaders in manufacturing, retail and consumer goods, financia...

5+ years of experience in ML Ops engineering or a related field. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensive experience with ML Ops frameworks like Kubeflow , MLflow , TensorFlow Extended (TFX) , KubeFlow Pipelines , or similar. Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure). Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Skills : SageMaker, PySpark, AWS Servic...

Aionomy is looking for Data Automation Engineer Role to join our team Roles and Responsibility Design and develop automated data processing workflows using various tools and technologies. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain large-scale data pipelines and architectures. Troubleshoot and resolve complex technical issues related to data automation. Implement data quality checks and validation processes to ensure accuracy and integrity. Optimize data automation processes for improved efficiency and performance. Job Requirements Strong understanding of data automation principles and technologies. Experience with dat...

Skills : A strong level of proficiency in python programming Practical knowledge and working experience on Statistics and Operation Research methods Practical knowledge and working experience in tools and frameworks like Flask,PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure,...

Join us as a Data Scientist Are you ready to embark on an exciting journey of discovery, insights and innovation in the data science space Youll be working at the intersection of analytics and engineering to uncover valuable insights hidden within our data With an abundance of data at your fingertips along with cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work If you have the desire and tenacity to embark on a steep learning curve in an exciting and rapidly evolving field, apply now We're offering this role at associate vice president level What you'll do As a Data Scientist, youll combine human insi...

Join us as a Data Engineering Lead This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences Youll be simplifying the bank through developing innovative data driven solutions, inspiring to be commercially successful through insight, and keeping our customers and the banks data safe and secure Participating actively in the data engineering community, youll deliver opportunities to support our strategic direction while building your network across the bank Were recruiting for multiple roles across a range to levels, up to and including experienced managers What you'll do Well look to you to demonstrat...

Role & responsibilities Job Summary: We are seeking a highly skilled Machine Learning Engineer with 4+ years of total experience, including a minimum of 2 years of hands-on experience in building and deploying ML models. The ideal candidate must have a strong background in Python , Deep Learning , and extensive experience with Natural Language Processing (NLP) techniques and tools. Key Responsibilities: Build, train, and optimize supervised and unsupervised learning models. Work on deep learning techniques, including LSTM , and use frameworks like TensorFlow and PyTorch , including GPT models. Apply advanced NLP techniques and tools (e.g., SpaCy, LLMs ) for analyzing and processing unstructu...

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. Atleast 10 years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data f...

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: * Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorpo...

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You"™ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you"™ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you"™ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: * Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorpo...

Position Name: Data Scientist Strategic purpose of the position: The Data Scientist leverages Gen AI concepts for data and machine learning to generate insights, improve decision-making, and drive innovation. This role plays a key part in identifying, building and integrating AI-powered solutions into business processes. The Data Scientist collaborates with AI Data Engineers and software teams to deploy AI models into production applications, ensuring seamless AI adoption across the organization. Personal qualifications / competencies: Strong Analytical skills Preprocessing and optimization of datasets (structured and unstructured data) to make them LLM-ready. Identify the right prompt engin...

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Microsoft Azure Analytics Services, Microsoft SQL Server, Microsoft Power Business Intelligence (BI) Good to have ski...

Role & responsibilities Are you passionate about building scalable ML solutions and leveraging AWS cloud services ? We are looking for a Machine Learning Engineer with 4-7 years of hands-on experience to join our dynamic team! What Youll Do: Design, develop, train, and deploy ML models in production environments Build and maintain end-to-end ML infrastructure using AWS (SageMaker, Lambda, S3, EC2, EKS, Step Functions) Collaborate with cross-functional teams to create robust ML pipelines Optimize model performance, automate workflows, and implement MLOps best practices Monitor and troubleshoot models for performance and drift Required Skills: Strong knowledge of supervised, unsupervised, and ...

Hiring a Gen AI Engineer (4+ yrs) with hands-on experience in RAG, Agentic AI, LangChain/LangGraph, and open-source LLMs (Llama, GPT-OSS). Strong skills in Python, prompt optimization, vector databases, and cloud deployment (AWS/Azure/GCP) required.