10 Clustering Algorithms Jobs

DESCRIPTION Role Overview: We're seeking a senior technical leader to drive the development and scaling of advanced product matching and selection systems. This role will lead technical initiatives addressing a multi-billion dollar market opportunity in retail technology, focusing on improving product discovery and selection coverage. Key job responsibilities Technical Architecture & Development (60%): Design and implement dual-layer machine learning systems combining state-of-the-art models Develop scalable data pipelines processing 600M+ products monthly Create automated validation frameworks with 99.9% accuracy Build real-time monitoring systems handling 10M+ daily queries Technical Objectives: Improve visual similarity matching from 32% to 70% across categories Develop automated trend detection using advanced AI/ML models Create clustering algorithms for 2000+ product types across multiple regions Manage technical dependencies across multiple engineering and science teams Success Metrics: Achieve 70% accuracy in product matching across categories Drive 60% improvement in processing efficiency Scale systems to handle 2x current capacity by Q4'26 Technical Requirements: Machine Learning & AI: Expert knowledge of machine learning models and frameworks Experience with computer vision and similarity algorithms Proficiency with Large Language Models Strong background in clustering algorithms Data Engineering: Experience with large-scale data pipelines Distributed computing systems expertise Real-time processing system design Data validation frameworks System Architecture: Modular architecture design Microservices architecture API design and development Performance optimization Scalable system design Leadership & Collaboration: Technical project leadership Cross-team collaboration Architecture governance Technical documentation Mentoring and guidance Required Qualifications: 8+ years of software development experience 5+ years of machine learning and data science experience 3+ years leading complex technical projects Bachelor's degree in Computer Science or related field Experience with large-scale distributed systems Track record of improving system performance metrics Preferred Qualifications: Master's degree in Computer Science, Machine Learning, or related field Experience with retail technology systems Previous experience with visual similarity algorithms Track record of successful large-scale system implementations Impact: This role will be instrumental in transforming our product discovery capabilities, directly impacting customer experience and business growth in the competitive retail technology space. A day in the life Key Technical Activities: Lead architectural decisions for ML systems and data pipelines Review and optimize model performance metrics Analyze system health and scalability metrics Develop technical specifications and proof of concepts Debug complex production issues Evaluate and approve architecture changes Design solutions for improving visual similarity algorithms Leadership & Collaboration: Lead technical design reviews and architecture syncs Mentor team members on ML best practices Collaborate with data scientists on model improvements Align with cross-functional teams on technical dependencies Guide implementation strategies across multiple teams Review and approve technical proposals Provide architectural guidance for scaling solutions Strategic Focus: Drive improvements in model accuracy and system performance Define technical standards and best practices Balance immediate technical needs with long-term architecture Evaluate new ML technologies and approaches Guide innovation in automated trend detection Ensure system reliability and scalability Monitor and improve key performance metrics Regular Interactions: ML Engineers and Data Scientists Product and Platform teams Infrastructure teams Business Intelligence teams Senior technical leadership This role combines hands-on technical expertise in ML/AI with strategic architectural leadership, requiring both deep technical knowledge and strong collaboration skills. The focus is on driving technical excellence while ensuring successful delivery of large-scale ML solutions that impact business metrics. About the team The RBS-Availability program includes Selection Addition (where new Head-Selections are added based on gaps identified by Selection Monitoring-SM), Buyability (ensuring new HS additions are buyable and recovering established ASINs that became non-buyable), SoROOS (rectify defects for sourceble out-of-stock ASINs ) Glance View Speed (offering ASINs with the best promise speed based on Store/Channel/FC level nuances), Emerging MPs, ASIN Productivity (To have every ASINS actual contribution profit to meet or exceed the estimate). The North-Star of the Availability program is to Ensure all customer-relevant (HS) ASINs are available in Amazon Stores with guaranteed delivery promise at an optimal speed. To achieve this, we collaborate with SM, SCOT, Retail Selection, Category, and US-ACES to identify overall opportunities, defect drivers, and ingress across forecasting, sourcing, procurability, and availability systems, fixing them through UDE/Tech-based solutions. BASIC QUALIFICATIONS - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As an experienced AI and Data Scientist Engineer, you will be responsible for designing and implementing data-driven AI solutions that enhance safety, operational efficiency, and compliance within industrial environments. Your role will entail the application of advanced machine learning techniques, data modeling, and analytics to derive actionable insights and foster innovation. Your key responsibilities will include: - Developing and deploying AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. - Implementing computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. - Collecting, preprocessing, and analyzing large datasets from industrial systems and safety processes. - Building predictive models, recommendation systems, and clustering algorithms to address business challenges. - Integrating AI/ML models into existing software systems, AR/VR platforms, and training simulators. - Creating APIs and tools to ensure accessibility of AI capabilities across various platforms. - Crafting intuitive dashboards and visualizations to effectively communicate data insights to stakeholders. - Generating detailed reports outlining analytical findings and model performance. - Exploring new AI technologies and frameworks to enhance safety and operational efficiency. - Conducting feasibility studies for incorporating emerging AI techniques into industrial solutions. - Collaborating closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company objectives. To be successful in this role, you should possess: - 3-7 years of experience in AI, data science, or related fields, with a proven track record of deploying machine learning models in production. - Proficiency in programming languages such as Python, R, or Java, along with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. - Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. - Hands-on experience with supervised, unsupervised, deep learning techniques, and reinforcement learning. Join us in leveraging AI and data science to drive innovation and enhance safety within industrial environments. Your expertise and skills will play a pivotal role in optimizing operational processes and ensuring compliance.,

You will be working as a hands-on engineer, developing new features and fixing bugs for an internal machine learning model that identifies errors in vehicle telematics. You will be part of an Agile scrum team, collaborating on various modules or subsystems of the test framework. As an expert in Python, you will utilize your knowledge in popular machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn. Your proficiency in clustering algorithms like K-means and hierarchical clustering will enable you to group similar data points effectively. Additionally, your expertise in classification algorithms such as decision trees, support vector machines, and random forests will be crucial for tasks like image recognition, natural language processing, and recommendation systems. Your experience with databases, both relational and non-relational like MySQL, along with your ability to design database schemas and optimize queries, will contribute to efficient data retrieval. Strong knowledge in Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management will be essential for the role. You should also have a good understanding of model evaluation metrics and techniques, as well as experience in deploying machine learning models to production environments. Being a part of an Agile scrum team, you should be proficient in using version control systems like Git for collaborative development. Desired skills include knowledge of RESTful API design, experience in developing web applications using Flask or Dash, and familiarity with automotive communication protocols like SOME-IP, CAN, Flexray, MOST, and Ethernet. Excellent communication skills are a must-have for this role.,

At Capgemini Engineering, as a part of the global team of engineers, scientists, and architects, you will have the opportunity to collaborate with the world's most innovative companies and contribute towards unleashing their potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking and providing unique R&D and engineering services across all industries. Embark on a career full of possibilities where every day is a new challenge. Your role will require expert knowledge in Python and proficiency in popular machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn. You should have a deep understanding and practical application of clustering algorithms like K-means and hierarchical clustering for grouping similar data points. Additionally, expertise in classification algorithms such as decision trees, support vector machines, and random forests for tasks like image recognition, natural language processing, and recommendation systems will be essential. Moreover, you should be proficient in working with databases, both relational and non-relational like MySQL, including experience in designing database schemas and optimizing queries for efficient data retrieval. A strong foundation in areas like Object-Oriented Analysis and Design, multi-threading, multi-process handling, and memory management will be advantageous. You are expected to possess good knowledge of model evaluation metrics and techniques and have experience in deploying machine learning models to production environments. Being a part of an Agile scrum team, you should be adept at using version control systems like Git for collaborative development. Your primary skills should include excellent Python coding abilities, strong communication skills, and expertise in data modeling and popular machine learning libraries and frameworks. Join Capgemini, a global business and technology transformation partner dedicated to accelerating organizations" transition to a digital and sustainable world. With a diverse team of over 340,000 members in more than 50 countries and a strong heritage of over 55 years, Capgemini is committed to delivering value through technology for its clients. From strategy and design to engineering, the organization offers end-to-end services and solutions leveraging AI, cloud, and data capabilities, along with deep industry expertise and a strong partner ecosystem. If you are looking to make a tangible impact on enterprises and society while working in a dynamic and innovative environment, Capgemini Engineering offers a platform where your skills and expertise can thrive.,

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your responsibilities include ensuring the smooth functioning of applications, addressing any arising issues, collaborating with the team, making team decisions, and engaging with multiple teams. Your problem-solving abilities and expertise in SAP Global Trade Services will be crucial in contributing to the success of the project. You are expected to be a Subject Matter Expert (SME) and manage the team to perform effectively. Your role involves making team decisions, contributing to key decisions, providing solutions to problems within and across multiple teams, and ensuring the applications" smooth operation. Proficiency in SAP Global Trade Services, statistical analysis, machine learning algorithms, data visualization tools like Tableau or Power BI, and hands-on experience with various machine learning algorithms are essential. Additionally, you should have a strong grasp of data munging techniques to maintain data quality and integrity. The ideal candidate should possess a minimum of 7.5 years of experience in SAP Global Trade Services. This full-time position is based in Hyderabad and requires a 15 years full-time education.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As an IT Service Management Representative, you will oversee the delivery of IT production systems and services, supporting the infrastructure service management lifecycle to ensure client satisfaction and manage service risks. Your role involves providing operational support to keep production systems and devices online and available. Expected to perform independently and become a Subject Matter Expert (SME), you will actively participate and contribute in team discussions, providing solutions to work-related problems. Your responsibilities include managing delivery for IT production systems and services, supporting the infrastructure service management lifecycle, ensuring client satisfaction, and managing risk to services. Additionally, you will collaborate with team members to troubleshoot and resolve issues. Required professional and technical skills include proficiency in Reporting Analytics, a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. You should also have a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Candidates should possess a minimum of 3 years of experience in Reporting Analytics. This position is based at our Nagpur office, and a 15 years full-time education is required.,

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Expected to perform independently and become an SME, you will actively participate/contribute in team discussions and provide solutions to work-related problems. Your responsibilities will include assisting with the data platform blueprint and design, collaborating with Integration Architects and Data Architects, ensuring cohesive integration between systems and data models, implementing data platform components, and troubleshooting and resolving data platform issues. In terms of professional & technical skills, proficiency in Databricks Unified Data Analytics Platform is a must-have. You should have a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Furthermore, a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, is essential. The candidate for this position should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at the Bengaluru office and requires a 15 years full-time education.,

AVIZVA is a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing the way healthcare enterprises deliver care. Since its establishment in 2011, AVIZVA has been a key strategic enabler for healthcare enterprises, enhancing their overall care delivery through tailored products and services. With over 13 years of expertise, AVIZVA has successfully engineered more than 150 products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. This position requires a strong technical background in machine learning coupled with leadership skills to drive the team towards success. Your responsibilities will include contributing to the development of Large Language Model (LLM) based products, integrating GenAI and traditional machine learning approaches to meet key product requirements. Collaboration with cross-functional teams, such as product managers and business leaders, will be essential to deliver scalable machine-learning solutions that align with business needs. Your role will involve setting clear goals and priorities for the team, overseeing the lifecycle of GenAI projects, addressing technical and operational challenges, and ensuring seamless deployment of models into production environments. Embracing a culture of continuous improvement, you will lead the team in delivering high-quality results while maintaining a collaborative work environment. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or a related analytical field. A minimum of one year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs) is required, along with hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. Proficiency in NLP, NLG, Text Analytics, and working with Transformer-based models like BERT is essential. Additionally, you should have over 10 years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python, system design, and architecture. Your technical skills should encompass a strong command of Core Python, advanced Python libraries like PyTorch and FAST API, as well as experience with classification and clustering algorithms, ensemble models, and object-oriented programming. Familiarity with ORM tools, debugging, testing frameworks, front-end fundamentals, and Agile methodology will be beneficial for the role. Excellent communication and problem-solving skills are also key attributes for success in this position.,