214 Unsupervised Learning Jobs - Page 3

Job Description: 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. You also have practical experience with supervised/unsupervised learning, neural networks (CNNs, RNNs), and frameworks like TensorFlow, Keras, or PyTorch. Key Responsibilities: - Strong proficiency in Python, with expertise in libraries like NumPy, Pandas, TensorFlow, and PyTorch - Familiarity with Java or C++ is a plus - Solid grasp of linear algebra, probability, statistics, and algorithms for model development - Pract...

As a Manager, Model Validation - Hybrid based in Mumbai/ Bangalore - India with Citi's Risk Management organization, your role will be part of the Artificial Intelligence (AI) Review and Challenge Group within Citi's Model Risk Management organization. You will be responsible for independently validating Artificial Intelligence (AI) / Machine Learning (ML) non-model objects, including unsupervised learning models, Natural Language Processing models, and Generative AI models. Your key responsibilities will include: - Independently validating AI/ML non-model objects like unsupervised learning models, NLP models, and Generative AI models. - Developing and implementing Generative AI solutions to...

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Note: We are specifically seeking candidates who are currently serving their notice period or are immediate joiners available to join within October 2025 . Key Responsibilities: Design, build, and deploy predictive and optimization mode...

Staff/Sr.Staff Data Scientist - ML & Recommendations Qualification & Eligibility: Bachelor's or higher degree in a quantitative discipline (computer science, statistics, engineering, applied mathematics) Working Experience: Minimum 6+ years of experience Startup experience preferred, Edtech work experience bonus Roles & responsibilities: Model Development: Design, train, and deploy recommendation algorithms (collaborative filtering, deep learning, bandits, reinforcement learning, embeddings, etc.). Experimentation: Set up A/B testing frameworks, design evaluation metrics (CTR, engagement, retention, revenue lift), and analyze causal impact. Data & Feature Engineering: Build and optimize pipe...

Mandatory Skills: * Python, Supervised / unsupervised modelling techniques, NLP, Extracting Insight from data * Deep learning frameworks -Tensorflow, PyTorch * Strong understanding of machine learning algorithms and principles * Data pre-processing and feature engineering , Model fine tuning Preferred additional skills: Strong hands on experience in developing solutions for Product discovery, Search. Hands on experience with developing ML based solutions for Query classification, intent identification, Vector search Location: Bangalore Notice Period: Immediate

S&C Global Network - AI - Retail - Consultant - AI/Gen AI Retail Specialist Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Expertise in supervised and unsupervised learning algorithms Proficiency in deep learning frameworks like TensorFlow or PyTorch Ability to implement NLP techniques for chatbots, recommendation systems, sentiment analysis, and personalized search. Good to have skills: Familiarity with SQL, NoSQL datab...

As a leading digital transformation firm with an 18-year legacy of excellence, Sundew is seeking an AI Engineer to contribute to designing, building, and deploying AI-driven solutions using ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Required S...

Role Overview: As a back-end engineer at Google, you will be utilizing your expertise in Machine Learning to combat abuse and ensure user safety. Your role will involve collaborating with domain expert analysts to set up data pipelines, develop machine learning models, and enhance automated review and detection systems. You will also work on integrating online/offline systems with various Google platforms to gather signals, features, and verdicts. Additionally, you will lead projects across different teams within the organization, providing guidance on solutions and execution. Key Responsibilities: - Utilize Machine Learning knowledge to combat abuse and enhance user safety. - Perform integr...

Role Description As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines and w...

As a Data Science Consultant at the company, your role will involve leveraging your expertise in machine learning and Python to contribute to various Data Science and ML projects. Your key responsibilities will include: - Demonstrating knowledge of end-to-end architecture of Data Science and machine learning projects - Experience in productionizing machine learning models and providing guidance to development teams for implementing machine learning use cases - Providing technology consulting to define the right Data Science and ML use cases - Conducting data collection, profiling, exploratory data analysis (EDA), and data preparation - Developing, tuning, and validating AI models - Utilizing...

As an AI Engineering Manager, you will play a crucial role in guiding a team of talented engineers to build innovative and high-performance AI solutions. Your responsibilities will include: - **Team Leadership & Development**: - Lead, mentor, and inspire a team of AI/ML engineers and data scientists. - Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth. - **Technical Strategy & Vision**: - Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. - Define the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring. - **Project & Budget...

As a Senior Gen AI Data Scientist in the Transformation team, your role involves collaborating with data scientists and stakeholders to understand business requirements and translate them into machine learning and generative AI solutions. You will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems. Additionally, you will use software design principles to develop production-ready code, collect, preprocess, and analyze large datasets, and optimize machine learning models for performance and accuracy. Your responsibilities may also include deploying machine learning models into production environments, monitoring ...

Role Description: As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines ...

Role Overview: You will be part of Expedia Group's Machine Learning and Data Science team, working on developing state-of-the-art machine learning algorithms to enhance various aspects of highly complex travel searches, recommendations, and advertising. Your main focus will be on building the core algorithms that drive Expedia Group's advertising marketplace. Key Responsibilities: - Implement & Validate ML Models: You will be responsible for implementing, testing, and validating machine learning models, from concept to production. - Test, Learn, and Iterate: Design and analyze A/B tests to validate models, measure their business impact, and continuously improve model performance. - Collabora...

As an AI/ML Engineer at our company, you will have the opportunity to work with a talented team and kickstart your career in AI and Machine Learning. You should be highly motivated, detail-oriented, and have a strong foundation in Python programming along with a good understanding of AI/ML fundamentals. **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 data analysis. - Stay updated with the latest advancements in AI/ML te...

As an AI/ML Intern at AVEVA, you will be part of the R&D department working under the guidance of the R&D Manager. Your primary responsibility will be to help develop AI capabilities into the existing suite of products or build AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will serve as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem. Key Responsibilities: - Collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI solutions for real-world problems. - Assist in data collection, preprocessing, and exploratory data analysis to ensure high-qu...

We are looking to hire a data scientist who has worked in data science technologies such as Python, Machine Learning, NLP, Text Mining and unservised learning. He should have experience in developing and scaling data science applications

You will be joining the Model Risk Management Group (MRMG) at Northern Trust, a globally recognized financial institution with over 130 years of experience and more than 22,000 partners. As a Senior Consultant, Risk Analytics, your primary role will involve validating models developed in Python, R, and occasionally SAS. Your responsibilities will include challenging the conceptual soundness of regression and machine learning models, understanding risks posed by AI/ML models, and having a solid grasp of financial models used in portfolio analysis and risk management. Key Responsibilities: - Validate models developed in Python, R, and SAS, ensuring the use of appropriate and high-quality data....

Role Overview: You will be working 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 primary focus will be on participating in client proposal discussions, providing thought leadership for technical solutions, and overseeing all phases of model development. Additionally, you will be expected to gain a deep understanding of statistical and machine learning methods, as well as keeping the team up to date on the latest trends in ML and AI. Key Responsibilities: - Lead a team to deliver end-to-end solutions for pharmaceutical clients - Participate in client proposal discussions and pro...

Role Overview: As an Analyst, your role will involve gathering, interpreting, and utilizing data to support business decisions, identify trends, and provide actionable insights. You will play a crucial part in improving performance and driving strategic initiatives within the organization. Key Responsibilities: - Collect, process, and analyze data from various internal and external sources. - Develop and maintain dashboards, reports, and Key Performance Indicators (KPIs). - Analyze complex datasets to identify trends, patterns, and opportunities. - Provide clear, concise, and actionable insights to stakeholders. - Support strategic planning, forecasting, and business decision-making. - Colla...

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. - Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems - Creates secure and high-quality pr...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for an experienced and highly skilled Python + Gen AI Full Stack Engineer with 810 years of professional experience in software engineering, specializing in machine learning, large language models (LLMs), and generative AI technologies. Th...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for an experienced and highly skilled Python + Gen AI Full Stack Engineer with 810 years of professional experience...

As an AI/ML professional with 5+ years of experience, you are expected to have a strong expertise in deep learning encompassing supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models including Transformers, self-attention, mixture of experts, and embeddings. Key Responsibilities: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience required in model fine-tuning, data pre-processing, and Python programming. Proficiency in ML frameworks such as PyTorch, TensorFlow, or equivalen...

As an AI/ML expert with over 5 years of experience, you will be responsible for: - Demonstrating strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning techniques. - Proficiency in working with Large Language Models like Transformers, self-attention, mixture of experts, and embeddings. - Utilizing Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design for effective solution development. - Hands-on experience in model fine-tuning, data pre-processing, and Python programming using ML frameworks such as PyTorch, TensorFlow, or equivalent. - Working with LangChain, LangGraph, Cre...