272 Unsupervised Learning Jobs

You have a strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch. Familiarity with Java or C++ is a plus. You have a solid grasp of linear algebra, probability, statistics, and algorithms for model development. Additionally, you have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Your ability includes collecting, cleaning, transforming, and analyzing data, with knowledge of SQL/NoSQL databases and big data tools (e.g., Spark, Hadoop). You have experience scaling AI applications on AWS, Azure, or Google Cloud, and proficiency with Docker and Kubernetes....

As a Senior Data Scientist at Dark Matter Technologies, you will play a crucial role in revolutionizing the loan origination industry by leveraging cutting-edge AI and origination technology solutions. Your responsibilities will include: - Selecting features, building, and optimizing classifiers using machine learning techniques. - Conducting hypothesis testing and developing hypotheses to be tested through careful experiments. - Implementing predictive modeling and collaborating with cross-functional teams to integrate AI models into business solutions. - Conducting research and experiments to enhance AI models and algorithms. - Staying updated with the latest AI/ML technologies and trends....

As a Senior Data Scientist at Zinnia, you will play a crucial role in developing cutting-edge solutions and performing advanced data analytics to influence decision makers. Leveraging data from diverse sources, you will provide insights and build new data-driven tools. You will collaborate with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. Your responsibilities will include developing machine learning based applications using Python, optimizing and personalizing customer experiences, and automating decision making processes to reduce manual effort. You will also work on enabling prescriptive insights, ...

As an AI Solutions Architect with 10-15 years of experience, including 5-8 years in data science, analytics, and AI/ML, you will be responsible for developing strategies and solutions to solve problems creatively using machine learning, deep learning, and GEN AI techniques. Your key responsibilities will include: - Leading a team of data scientists to ensure project deliverables are produced on time and with high quality. - Analyzing large and complex data sets, processing, cleansing, and verifying data integrity. - Performing exploratory data analysis (EDA) using state-of-the-art methods. - Selecting features, building, and optimizing classifiers/regressors using machine learning and deep l...

As an AI/ML Engineer at our company, you will be a part of a dynamic team aiming to leverage AI and Machine Learning technologies. Your role will involve collaborating with senior engineers, writing efficient Python code, and contributing to the development of AI/ML models and algorithms. Key Responsibilities: - Collaborate with senior engineers to design, implement, and deploy AI/ML models. - Write clean, efficient, and maintainable code in Python. - Assist in data pre-processing, feature engineering, and model evaluation. - Contribute to the development of algorithms and models for data extraction and analysis. - Stay updated with the latest advancements in AI/ML technologies and methodolo...

Role Overview: You will be joining our team as an Analyst, where your main responsibility will involve gathering, interpreting, and utilizing data to support business decisions, identify trends, and offer actionable insights to enhance performance and drive strategic initiatives. Key Responsibilities: - Collect, process, and analyze data from both internal and external sources - Develop and maintain dashboards, reports, and key performance indicators (KPIs) - Analyze complex datasets to uncover trends, patterns, and opportunities - Deliver clear, concise, and actionable insights to stakeholders - Assist in strategic planning, forecasting, and business decision-making - Collaborate with cross...

Role Overview: As an Analytics Associate Manager in the Insights & Intelligence vertical at Accenture, you will play a key role in generating insights using the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to clients. Your expertise will be utilized to build innovative solutions, solve business problems, and tackle technical challenges using AI Platforms and technologies. You will work within the Marketing & Customer Analytics team, focusing on measuring, managing, and analyzing marketing activities to provide actionable insights and recommendations for optimizing ROI and performance efficiency. Key Responsibilities: - Lead Data Science and Advanced Analytics...

As a candidate with 5+ years of experience in AI/ML, you should have a strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models such as Transformers, self-attention, mixture of experts, and embeddings. Your key responsibilities in this role would include: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience with model fine-tuning, data pre-processing, and Python programming, with proficiency in ML frameworks like PyTorch, TensorFlow,...

As a Senior Data Scientist with over 5 years of experience, you will have a significant impact on our team based in Indore/Pune. Your primary role will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to support business decision-making. - Strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. - Expertise in Model Tuning, Model Validation, Supervised and Unsupervised Learning - Hands-on experience with model development, data preparation, and deployment of models for training and inference - Proficiency in descriptive and inferential statistics, hypothesis testing, an...

Role Overview: As an enthusiastic AI/ML Developer with 3-5 years of experience, you will be responsible for designing, developing, and deploying AI/ML solutions. Your passion for AI, expertise in machine learning, deep learning, and MLOps, along with your eagerness to work on cutting-edge projects will be key to your success in this role. Key Responsibilities: - Utilize programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas) to implement AI/ML solutions. - Apply knowledge of various machine learning techniques including Supervised, Unsupervised, Deep Learning, NLP, and Computer Vision. - Deploy models using technologies such as Flask, FastAPI, AWS SageMaker, Google Vertex AI...

Responsibilities:(Only telugu or vizag based female candidates intrested to work in our startup are needed) * Collaborate with cross-functional teams on data analysis & visualization * Develop AI/ML models using Python, ML algorithms & NLP techniques Provident fund Health insurance

Role Overview: As a Data Science/Machine Learning Instructor at the organization, your primary responsibility will be conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This will involve covering topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. Collaboration with content teams to develop labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based Data Science/Machine Learning services will also be part of your role. Key Responsibilities: - Conduct live instructions on topics r...

As an innovative performance apparel company, you will be joining lululemon's Content team to contribute to a fast-paced environment that is constantly exploring new initiatives to support the rapidly expanding business. The team embraces cutting-edge technology and is driven by a continuous pursuit of improvement. Innovation is at the core of the ethos, encouraging each member to step out of their comfort zones and embrace new challenges. Professional and personal growth is paramount, learning from failures to pave the way for a brighter future. The environment fosters open feedback and idea sharing, promoting ongoing organizational growth. Responsibilities: - Develop Statistical/Machine Le...

As an experienced Azure Cloud Platform Engineer, your primary responsibilities will include: - Hands-on experience with Azure cloud platforms - Designing and deploying Azure infrastructure using automation tools like Terraform and ARM templates - Designing and implementing ML platforms and cognitive APIs - Implementing container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, and App service plans - Experience in MLOps, CI/CD, model monitoring, and automation - API integration and containerization using Docker, Kubernetes, and AKS - Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs - Skilled in prompt engineering, model f...

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. - Possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms. - Strong familiarity with deep learning methods for text analytics. - Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcem...

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervise...

Role Overview: Machine learning (ML) is a subfield of artificial intelligence that focuses on developing algorithms to learn from data, identify patterns, and make predictions or decisions without explicit programming. It enables systems to improve their performance on specific tasks by adjusting their behavior based on the data they are exposed to. Key Responsibilities: - Learning from Data: Train machine learning algorithms on large datasets to identify patterns and relationships within the data. - No Explicit Programming: ML algorithms learn from data and adapt their behavior instead of relying on traditional programming methods. - Prediction and Decision Making: Enable systems to make ac...

Role Overview: At Visteon, the work you do is both relevant and recognized, not just by the organization, but by peers, industry-leading brands, and millions of drivers around the world. As a truly global technology leader in the mobility space, focused on building cross-functional and cross-cultural teams, you will be connected with people who help you grow. Whatever you do at Visteon is not just a job but a mission. Visteon, being a multi-billion-dollar leader of disruptive change in the industry, is shaping the future and enabling a cleaner environment amidst the mobility revolution. Key Responsibilities: - Facilitate Enterprise machine learning and artificial intelligence solutions using...

As a senior data scientist at UBS, you will play a pivotal role in driving digital transformation by working on data science projects within the newly established Data and Analytics Team in Group Legal. Your responsibilities will include: - Collaborating with various stakeholders to translate reporting requirements into actionable tasks and implement product enhancements. - Designing, building, and deploying high-performance AI/ML/NLP models to meet business objectives. - Monitoring and optimizing model performance to ensure quality, stability, and scalability. - Cleaning, manipulating, and processing raw data into useful information suitable for business purposes. - Validating AI/ML opportu...

About The Role Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients throughout the product l...

About The Role Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore Gurgaon Mumbai Chennai Pune Hyderabad Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transacti...

As a Data Scientist at Micron Technology, you will have the opportunity to work in highly automated industrial manufacturing, analyzing terabytes and petabytes of diverse datasets using machine learning techniques. Your key responsibilities will include: - Growing your career as a Data Scientist with a strong focus on statistical modeling, feature extraction, and analysis. - Extracting data from various databases using SQL and other query languages and applying data cleansing techniques. - Developing strong software skills and working with advanced analytical methods like machine learning. - Enhancing your proficiency in Python, R, pySpark, SparkR, SparklyR, Hadoop, Teradata, Tensorflow, and...

Role Overview: You have the opportunity to join Expedia Group's Machine Learning and Data Science team to work on developing state-of-the-art machine learning algorithms that power various aspects of highly complex travel searches, recommendations, and advertising. As a part of the team, you will be responsible for implementing and validating machine learning models and collaborating with senior scientists, engineers, and product managers to contribute to solutions. Key Responsibilities: - Implement, test, and validate machine learning models, taking features from concept to production. - Design and analyze rigorous A/B tests to validate models and quantify their business impact. Proactively...

You will be working as a Research Engineer-II at Attentive.ai, contributing to the development of intelligent systems for automated construction take-off and estimation through cutting-edge deep learning, computer vision, and NLP technologies. Your role will involve supporting the end-to-end lifecycle of AI-based solutions, impacting the scalability, accuracy, and efficiency of products directly. **Roles & Responsibilities:** - Contribute to research and development initiatives focusing on Computer Vision, Image Processing, and Deep Learning in construction-related data. - Build and optimize models for extracting insights from documents like blueprints, scanned PDFs, and SVG files. - Aid in ...

Role Overview: You will be joining as a Data Science Lead, responsible for leading a team of analysts and data scientists/engineers to deliver end-to-end solutions for pharmaceutical clients. Your role will involve participating in client proposal discussions with senior stakeholders, providing thought leadership for technical solutions, and overseeing all phases of model development. Additionally, gaining business understanding in the healthcare domain to develop relevant analytics use cases will be a key aspect of your responsibilities. Key Responsibilities: - Lead a team to develop data science models and solutions for pharmaceutical clients - Participate in client proposal discussions an...