212 Unsupervised Learning Jobs - Page 4

Role Overview: You should have a minimum of 5 years of experience in machine learning engineering and AI development. Your deep expertise should include machine learning algorithms such as supervised/unsupervised learning, deep learning, and reinforcement learning. Additionally, you should have solid experience in natural language processing (NLP) including language models, text generation, and sentiment analysis. Your proven understanding of generative AI concepts like text/image/audio synthesis and transformers will be crucial. Expertise in Agentic AI and experience with frameworks like Langgraph, ADK, Autogen are required. Key Responsibilities: - Design, develop, and optimize machine lear...

As a Lead Data Scientist at Meesho, you will be responsible for driving high-impact initiatives across multiple charters. Your role will involve leading a team of data scientists and collaborating with product, engineering, and business teams to transform raw data into scalable solutions. Your deep expertise in machine learning and data systems, combined with strategic problem-solving skills, will shape the future of the platform. Key Responsibilities: - Own and deliver solutions across multiple charters by formulating well-scoped problem statements - Mentor a team of data scientists (DS2s and DS3s) with project planning and execution - Design and optimize key user journeys by identifying us...

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 : NAMinimum 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 li...

As a Machine Learning Engineer at our fast-growing AI/ML startup, your role involves designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. You will be a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include: - Collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms - Translating complex client problems into mathematical models - Building data pipelines and automated classification systems -...

Role Overview: You will be responsible for developing machine learning models by designing, building, and evaluating both supervised and unsupervised models like regression, classification, clustering, and recommendation systems. This includes performing feature engineering, model tuning, and validation through cross-validation and various performance metrics. Your duties will also involve preparing and analyzing data by cleaning, preprocessing, and transforming large datasets sourced from different channels. You will conduct exploratory data analysis (EDA) to reveal patterns and gain insights from the data. In addition, you will deploy machine learning models into production using tools lik...

Role Overview: 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. Key Responsibilities: - 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, Un...

Role Overview: As a Data Science/Machine Learning Instructor at our organization, you will be responsible for conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This includes topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. You will collaborate 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. Key Responsibilities: - Conduct live instructions to educate working professionals on topics related to Da...

As an innovative performance apparel company, you will focus on developing technical fabrics and functional designs to support individuals in their movement, growth, connection, and overall well-being. Your dedication to innovation, commitment to your people, and fostering meaningful relationships within communities will drive positive change and a healthier future. Joining the Content team at lululemon will offer you the opportunity to contribute to a fast-paced environment that explores new initiatives for the rapidly expanding business. Encouraging cutting-edge technology and continuous improvement, you will be part of a team that values innovation, personal and professional growth, and l...

As a member of the QuestaSim (Simulation) R&D team at Siemens EDA, you will be responsible for designing and developing AI/ML-driven algorithms and solutions to enhance the performance and capabilities of simulation tools. Your role will involve creating cutting-edge engines and components, integrating machine learning techniques into simulation and verification workflows, and improving existing codebases. Key Responsibilities: - Collaborate with a team of experienced engineers to solve complex problems using AI/ML frameworks. - Utilize data-driven problem-solving skills to achieve project milestones. - Implement supervised and unsupervised learning, neural networks, and reinforcement learni...

Role Overview: As a skilled Data Scientist at our company, your main responsibility will be to utilize your expertise in machine learning, statistical modeling, and business-focused analytics to contribute to the growth of our data science team. You will be expected to build predictive models, conduct time-series forecasting, and develop optimization solutions using tools such as Python, SQL, and Azure ML or Databricks. Additionally, your strong communication skills will play a vital role in translating complex data into clear business insights for the success of the team. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights driving business impact. - Design...

In your role overview, you will be working in the subfield of artificial intelligence known as Machine Learning (ML). ML enables systems to learn from data and enhance their performance on specific tasks without explicit programming. Your focus will be on developing algorithms that can analyze data, identify patterns, and make predictions or decisions. This will allow computers to learn from experience, similar to human beings, by adjusting their behavior based on the data they are exposed to. Key Responsibilities: - **Learning from Data:** You will be training machine learning algorithms on large datasets to identify patterns and relationships within the data. - **No Explicit Programming:**...

Role Overview: At Kovai.co, we are looking for a Data Scientist who can contribute to our mission of revolutionizing enterprise software and B2B SaaS solutions. As a Data Scientist, you will play a crucial role in understanding business problems, analyzing large datasets, developing advanced statistical and machine learning models, and driving innovative solutions to improve business performance. Key Responsibilities: - Understand business problems and formulate hypotheses to address them effectively - Collect and interpret data, analyze results, identify patterns, and trends in large datasets - Research and develop advanced statistical and machine learning models for analyzing large-scale, ...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud nat...

As a Generative AI Developer at our company, you will be responsible for building cutting-edge generative models to create innovative, human-like content across various domains such as natural language generation, image generation, and more. Your expertise in machine learning, deep learning, and natural language processing will be crucial for developing AI systems that utilize generative models like GPT, GANs, VAEs, and other neural networks. **Key Responsibilities:** - Develop and fine-tune generative models using techniques like GANs, VAEs, Transformers, and Diffusion models. - Work on tasks including text generation, image generation, music/sound generation, video creation, and other crea...

National Payment Corporation of India (NPCI) is Hiring! Hiring Data Scientist (with Statistics, Quantitative Economics, Operations Research (OR), Bayesian Modelling experience only) Experience: 5 - 10 Years (Mandatory)Tier-1 schools/colleges: ISI, IITs (Kharagpur, Chennai, Kanpur and Bombay), BITS and DSE ( D elhi S chool of E conomics) or any similar Mandatory (Must) Must have experience of 5-10 years working in Statistics, Quantitative Economics, Operations Research (OR), Bayesian Modelling or any similar fields (Must) Atleast a Bachelors level education in Statistics, Economics, Industrial Engineering or any similar fields from Tier-1 schools/colleges Exposed to Supervised and Un-supervis...

As a Tech Lead specializing in Data & Analytics, you will be responsible for the following: **Role Overview:** You will play a crucial role in handling and processing data efficiently, ensuring optimal performance and data integrity. Additionally, you will be involved in data analysis, statistical modeling, and visualization to derive meaningful insights for the organization. **Key Responsibilities:** - Proficient in SQL Server with a focus on query optimization. - Expertise in application data design and process management. - Extensive knowledge of data modeling techniques. - Hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. - Experience working wit...

You will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. **Key Responsibilities:** - Utilize your deep understanding of the retail industry to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms like classification, cluster...

Role & responsibilities : 1.Design and implement anomaly detection models using statistical and unsupervised learning techniques. 2.Optimize AI models for edge devices. 3.Work with time-series and sensor data, applying appropriate preprocessing, noise reduction, and feature extraction techniques. 4.Utilize deep learning architecture such as CNNs, RNNs, LSTM, GRU, and GANs. 5.Perform model evaluation, optimization, cross-validation, and hyperparameter tuning. 6.Visualize and analyze datasets using Python tools like Pandas, Matplotlib, and Seaborn. 7.Collaborate with cross-functional teams to translate business needs into AI-powered solutions. Good to have: 1.Sensor data processing (noise redu...

Role Overview: As a Senior Manager for data science, data modeling, and Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. - Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. - Understand end-to-end data pipelines, including data collection,...

Job Description: You will be responsible for leading the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high performance and reliability. Your key responsibilities will include: - Architecting and integrating networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability. - Championing the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations. - Overseeing the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless...

As an AI/ML Engineer at our company, you will be part of a motivated team focusing on AI and Machine Learning projects. Your role involves working with Python programming and applying AI/ML fundamentals to design and deploy models effectively. **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 methodologies. **Qualifications Required:** - Bache...

About The Role About The Role Template Job Title Manager Public Services - Data & AI Level : 09 Consultant Location Bengaluru / Gurugram /Mumbai Must have skills: Data & AI / GenAI Strategy development and deployment and large-scale transformation roadmaps for global public sector clients Experience in collaborating with Data & AI / GenAI teams for data fluency and delivering for product/solutions roadmap (including Data Scientists / AI Engineers / Responsible AI practitioners Designing and implementing public sector digital platforms and citizen experience solutions aligned with Data & AI / GenAI strategy of public sector clients Experience with Data & AI / GenAI Strategy design, solutions,...

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Utilize deep understanding of the retail industry to design AI solutions for critical business needs. - Gather and clean data from various retail sources like sales transactions, cus...

About the Team The Panacea team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver AI/ML-powered developer productivity tools that solve real engineering and support pain points at scale. Why Join Us Build AI-first observability tools that redefine how engineers triage and troubleshoot. Own systems that reduce hours of manual work in engineering and SRE workflows . Collaborate with a tight-knit team of high-ownership engineers who are passionate about impact and innovation. Hybrid work model that supports flexibility and deep focus. Help shape the central AI charter at Nutanix...