1646 Clustering Jobs - Page 49

Technical Experience/Knowledge Needed Cloud-hosted services environment. Proven ability to work in a Cloud-based environment. Ability to manage and maintain Cloud Infrastructure on AWS Must have strong experience in technologies such as Dockers, Kubernetes, Functions, etc. Knowledge in orchestration tools Ansible Experience with ELK Stack Strong knowledge in Micro Services, Container-based architecture and the corresponding deployment tools and techniques. Hands-on knowledge of implementing multi-staged CI / CD with tools like Jenkins and Git. Sound knowledge on tools like Kibana, Kafka, Grafana, Instana and so on. Proficient in bash Scripting Languages. Must have in-depth knowledge of Clustering, Load Balancing, High Availability and Disaster Recovery, Auto Scaling, etc. Skill Required (Other) AWS Certified Solutions Architect or/and Linux System Administrator Strong ability to work independently on complex issues Collaborate efficiently with internal experts to resolve customer issues quickly Additional No objection to working night shifts as the production support team works on 24-7 basis. Hence, rotational shifts will be assigned to the candidates weekly to get equal opportunity to work in a day and night shifts. But if you get candidates willing to work the night shift on a need basis, discuss with us. Early Joining Willingness to work in Delhi NCR Skills : DevOps, Amazon Web Services (AWS), Linux/Unix, Shell Scripting, Jenkins, MySQL, NewRelic, Git, Amazon RDS, Amazon CloudFront, Elastic Search, Apache Kafka, Neo4J, Docker, Ansible and Kubernetes (ref:hirist.tech) Show more Show less

Job Description Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Working as an AI/ML Engineer at Navtech, you will : Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly ? 2- 4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a masters degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. Well REALLY Love You If You Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different us : Navtech is a premier IT software and Services provider. Navtechs mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. Were a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. (ref:hirist.tech) Show more Show less

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Works with moderate guidance in own area of knowledge. We are seeking a skilled and motivated Developer with 2 to 4 years of experience to join our team. The primary focus of this role will be on the generation of reports using SQL, relational databases, and visualization tools like Tableau. The ideal candidate will have a strong foundation in data modeling, data privacy, and segmentation, along with experience in ETL processes and ServiceNow reporting. This role requires excellent analytical, communication, and critical thinking skills to deliver high-quality, actionable insights to stakeholders. Job Description Candidates should be from ServiceNow Background Analyze and interpret complex data sets to identify trends, correlations, and actionable insights that support business objectives. Develop, maintain, and enhance interactive dashboards and reports using Tableau to provide real-time data visibility and support decision-making processes Write, optimize, and troubleshoot SQL queries to extract, manipulate, and analyze data from multiple sources, ensuring accuracy and relevance. Collaborate with cross-functional teams to gather and define data requirements, providing insights that drive strategic initiatives. Conduct ad-hoc analyses and create reports that address specific business questions, providing timely and relevant insights to stakeholders. Present data-driven findings and recommendations to management and stakeholders, ensuring clarity and accessibility for non-technical audiences. Participate in the development and implementation of data governance and best practices to ensure data quality and integrity. Provide support in identifying opportunities for automation and process improvements to enhance data collection and reporting efficiency. Mentor junior analysts, providing guidance on best practices in data analysis, visualization, and problem-solving techniques. Employees At All Levels Are Expected To Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years Show more Show less

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for Analyst with 2+ years Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for? Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role : Database Administrator Project Role Description : Administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) and provide input for modification of procedures and documentation used for problem resolution and day-to-day maintenance. Must have skills : Microsoft SQL Server Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Roles and Responsibilities:1. As a Database Administrator, you will administer, develop, test, or demonstrate databases. 2. You will perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. 3. Your typical day will involve installing database management systems (DBMS) and providing input for modification of procedures and documentation used for problem resolution and day-to-day maintenance.4. Always on, Cluster, mirroring, Performance tunning, Backup and recovery Professional & Technical Skills:1. Failover Cluster, Availability Group and Replication, Patching, upgradation, and Migration of SQL Server instances2. Backup and database recovery process. 3. SQL Server Best practice, performance optimization and tuning.4. Adaptable / Flexible, Open for shifts and 24*7 Support5. Open to work in night shifts, Ability to work independently when required, Flexible in week offs. Additional Information:1. The candidate should have a minimum of 5 to 8 years of experience in Microsoft SQL Database Administration.2. This position is based at our Gurugram office.3. 15 years full time education is required. Qualifications 15 years full time education

The SQL DBA role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the SQL DBA domain.

JOB_POSTING-3-70798-2 Job Description Role Title: AVP, Senior Product Engineer (L10) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.. Organizational Overview: This role will be part of the Data Architecture & Analytics group part of CTO organization. Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL). Data team owns and manages different tools platforms which provides an environment for designing and building different data solutions. Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency. Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts Role Summary/Purpose: We are looking for an strong Individual contributor, platform administrator who will work in building and managing the NEO4J platform for scanning data sources across on-prem environments.The engineer will work cross-functionally with operations, other data engineers and product owner to assure capabilities are delivered that meet business needs Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL). Data team owns and manages different tools platforms which provides an environment for designing and building different data solutions. Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency. Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts Key Responsibilities Experience with Neo4J HA Architecture for Critical Applications (Clustering, Multiple Data Centers, etc.) with LDAP Based Authentication & Authorization for Neo4J. Expertise in graph driven data science applications, such as graph based feature engineering, graph embedding, or graph neural networks. Experience with Encryption Solutions for Neo4J. Experience in high availability and disaster recovery solutions deployment of new technology Superior decision-making, client relationship, and vendor management skills. Required Skills/Knowledge Experience in Neo4j product administration and development. Basic understanding of LINUX OS (understanding of file systems, environment, user and groups) Basic understanding of firewalls, ports and how to check connectivity between 2 environments Exposure to public cloud ecosystem (AWS, Azure and GCP) and its components Understanding on DevOps pipelines Exposure to Operations task like Job Scheduling, monitoring, Health check of the platforms, automations etc. Understanding of SAFe methodology/working in Agile environment Desired Skills/Knowledge Experience on installation and configuration of Bloom and GDS software. Hands on experience with cloud services such as S3, Redshift, etc. Extensive experience with deploying and managing applications running on Kubernetes (experience with administering Kubernetes clusters). Experience deploying and working with observability systems such as: Prometheus, Grafana, New-Relic, Splunk Logging. Eligibility Criteria Bachelor's degree in computer Science with minimum 4+ years of relevant technology experience or in lieu of degree 6+ years of relevant technology experience. Minimum 5+ years of financial services experience. Minimum 5+ years of experience managing Data platforms. Hands on experience with cloud platforms such as S3, Redshift, etc. Ability to develop and maintain strong collaborative relationships at all levels across IT and the business. Excellent written and oral communication skills, along with a strong ability to lead and influence others. Experience working iteratively in a fast-paced agile environment. Demonstrated competency linking business strategy with IT technology initiatives Proven track record of leading and executing on critical business initiatives on-time and within budget. Demonstrated ability to drive change and work effectively across business and geographical boundaries. Expertise in evaluating technology and solution engineering, with strong focus on architecture and deployment of new technology. Superior decision-making, client relationship, and vendor management skills. Work Timings: 3PM - 12AM IST (This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.) For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Information Technology Show more Show less

Key Responsibilities Analytics (Data & Insights): Analyze category and activity performance using advanced analytics methods. Deliver actionable insights using transactional, financial, and customer data. Design and measure experiments and pilots. Lead projects in clustering, forecasting, and causal impact analysis. Build intuitive dashboards to represent insights effectively. Operational Excellence: Improve data quality with automation tools. Develop analytical solutions and dashboards using user-centric design. Benchmark against industry standards and enhance business performance. Stakeholder Management: Collaborate with consultants, engineers, and cross-functional teams. Communicate complex insights in an understandable format. Create clear documentation linking business needs to data solutions. Promote a data-driven culture and share learnings across teams. Qualifications & Experience Education: Bachelors degree in Finance, Mathematics, Statistics, Engineering, or a related analytical discipline. Experience: 7+ years in a data analytics or quantitative role. Experience with Python, SQL, Spark, and handling large data volumes. Experience leading projects or small teams. Strong communication skills (English). Behavioral Competencies: Delivery excellence Innovation and agility Business acumen Social intelligence Technical Knowledge & Tools Retail, Supply Chain, Marketing, Customer Analytics Statistical Modeling & Time Series Analysis Python, PySpark, R MySQL, Microsoft SQL Server Power BI Azure, AWS, GCP

JOB_POSTING-3-70798-5 Job Description Role Title: AVP, Senior Product Engineer (L10) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.. Organizational Overview: This role will be part of the Data Architecture & Analytics group part of CTO organization. Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL). Data team owns and manages different tools platforms which provides an environment for designing and building different data solutions. Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency. Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts Role Summary/Purpose: We are looking for an strong Individual contributor, platform administrator who will work in building and managing the NEO4J platform for scanning data sources across on-prem environments.The engineer will work cross-functionally with operations, other data engineers and product owner to assure capabilities are delivered that meet business needs Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL). Data team owns and manages different tools platforms which provides an environment for designing and building different data solutions. Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency. Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts Key Responsibilities Experience with Neo4J HA Architecture for Critical Applications (Clustering, Multiple Data Centers, etc.) with LDAP Based Authentication & Authorization for Neo4J. Expertise in graph driven data science applications, such as graph based feature engineering, graph embedding, or graph neural networks. Experience with Encryption Solutions for Neo4J. Experience in high availability and disaster recovery solutions deployment of new technology Superior decision-making, client relationship, and vendor management skills. Required Skills/Knowledge Experience in Neo4j product administration and development. Basic understanding of LINUX OS (understanding of file systems, environment, user and groups) Basic understanding of firewalls, ports and how to check connectivity between 2 environments Exposure to public cloud ecosystem (AWS, Azure and GCP) and its components Understanding on DevOps pipelines Exposure to Operations task like Job Scheduling, monitoring, Health check of the platforms, automations etc. Understanding of SAFe methodology/working in Agile environment Desired Skills/Knowledge Experience on installation and configuration of Bloom and GDS software. Hands on experience with cloud services such as S3, Redshift, etc. Extensive experience with deploying and managing applications running on Kubernetes (experience with administering Kubernetes clusters). Experience deploying and working with observability systems such as: Prometheus, Grafana, New-Relic, Splunk Logging. Eligibility Criteria Bachelor's degree in computer Science with minimum 4+ years of relevant technology experience or in lieu of degree 6+ years of relevant technology experience. Minimum 5+ years of financial services experience. Minimum 5+ years of experience managing Data platforms. Hands on experience with cloud platforms such as S3, Redshift, etc. Ability to develop and maintain strong collaborative relationships at all levels across IT and the business. Excellent written and oral communication skills, along with a strong ability to lead and influence others. Experience working iteratively in a fast-paced agile environment. Demonstrated competency linking business strategy with IT technology initiatives Proven track record of leading and executing on critical business initiatives on-time and within budget. Demonstrated ability to drive change and work effectively across business and geographical boundaries. Expertise in evaluating technology and solution engineering, with strong focus on architecture and deployment of new technology. Superior decision-making, client relationship, and vendor management skills. Work Timings: 3PM - 12AM IST (This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.) For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Information Technology Show more Show less

The Commvault Backup & Recovery role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Commvault Backup & Recovery domain.

Job Description We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. Collaborate with Product & Data Science teams to define core AI/ML platform features. Analyze business requirements and identify pre-trained models that align with use cases. Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. Preprocess, clean, and analyze large datasets to train and improve AI models. Optimize LLM inference speed, memory efficiency, and resource utilization. Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. Develop APIs, pipelines, and frameworks for integrating AI solutions into products. Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience AI & Machine Learning: Strong experience in developing & deploying AI/ML models. Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. Programming & Development: Proficiency in Python and experience in API development. Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good To Have Experience with multi-modal AI (text, image, video, speech processing). Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton). Requirements We are seeking an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. The ideal candidate should have a strong foundation in developing AI/ML-based solutions, including expertise in Computer Vision (OpenCV). Additionally, proficiency in developing, fine-tuning, and deploying Large Language Models (LLMs) is essential. As an AI Engineer, candidate will work on cutting-edge AI applications, using LLMs like GPT, LLaMA, or custom fine-tuned models to build intelligent, scalable, and impactful solutions. candidate will collaborate closely with Product, Data Science, and Engineering teams to define, develop, and optimize AI/ML models for real-world business applications. Key Responsibilities: - Research, design, and develop AI/ML solutions for real-world business applications, RAG is must. - Collaborate with Product & Data Science teams to define core AI/ML platform features. - Analyze business requirements and identify pre-trained models that align with use cases. - Work with multi-agent AI frameworks like LangChain, LangGraph, and LlamaIndex. - Train and fine-tune LLMs (GPT, LLaMA, Gemini, etc.) for domain-specific tasks. - Implement Retrieval-Augmented Generation (RAG) workflows and optimize LLM inference. - Develop NLP-based GenAI applications, including chatbots, document automation, and AI agents. - Preprocess, clean, and analyze large datasets to train and improve AI models. - Optimize LLM inference speed, memory efficiency, and resource utilization. - Deploy AI models in cloud environments (AWS, Azure, GCP) or on-premises infrastructure. - Develop APIs, pipelines, and frameworks for integrating AI solutions into products. - Conduct performance evaluations and fine-tune models for accuracy, latency, and scalability. - Stay updated with advancements in AI, ML, and GenAI technologies. Required Skills & Experience: - AI & Machine Learning: Strong experience in developing & deploying AI/ML models. - Generative AI & LLMs: Expertise in LLM pretraining, fine-tuning, and optimization. - NLP & Computer Vision: Hands-on experience in NLP, Transformers, OpenCV, YOLO, R-CNN. - AI Agents & Multi-Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex. - Deep Learning & Frameworks: Proficiency in TensorFlow, PyTorch, Keras. - Cloud & Infrastructure: Strong knowledge of AWS, Azure, or GCP for AI deployment. - Model Optimization: Experience in LLM inference optimization for speed & memory efficiency. - Programming & Development: Proficiency in Python and experience in API development. - Statistical & ML Techniques: Knowledge of Regression, Classification, Clustering, SVMs, Decision Trees, Neural Networks. - Debugging & Performance Tuning: Strong skills in unit testing, debugging, and model evaluation. - Hands-on experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone). Good to Have: - Experience with multi-modal AI (text, image, video, speech processing). - Familiarity with containerization (Docker, Kubernetes) and model serving (FastAPI, Flask, Triton). Show more Show less

Responsibilities Job Description Standard advanced data analyses with minimal supervision and or complex projects with some senior supervision. Examples may include, but are not limited to: Conjoint analysis, (CBC, ACBC, etc), Segmentation, different types of regression, factor analysis, and other group-specific advanced analyses Coordinate with internal teams on analytics requirement, project flow and its timely execution Provides and explains output of statistical analysis to internal teams in simple, non-technical language Works on development and implementation of new statistical models and improvement of existing models Knowledge And Skills Requirement Strong conceptual understanding in the domain of analytics. Having additional experience on Market Research industry is an advantage Should have thorough knowledge working with various statistical packages (Must- SPSS, R/Python, Sawtooth. Optional - can be seen as an advantage- Latent Gold, SAS etc) Complete understanding of traditional multivariate techniques used in market research and commonly used machine learning techniques (Like neural networks, boosting, splines, SVM, Bayesian analysis etc) Experience of working on segmentation and pricing studies, predictive analytics/propensity based modelling, text analytics Understanding the database management system (DBMS) and hands on working with large databases would be an added advantage Qualifications Post-Graduation in Management/ Business Analytics/Statistics. Graduation in Science, Statistics or Engineering a plus 2 to 4 years of specialized experience in analytics. It could be either in a market research organization or business consultancy or client side Hands-on experience with specific analytics techniques like multivariate analysis, factor analysis, regression, conjoint analysis, or clustering Mandatory Skills - R, Python, SPSS, similar analytics/visualization software Experience on projects related to translating data into actionable business insights (e.g., segmentation, customer profiling, driver analysis, etc Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Project Role : Modernization Engineer Project Role Description : Build and test agile and cost effective hosting solutions. Implement scalable, high performance hosting solutions that meet the need of todays corporate and digital applications using both private and public cloud technologies. Develop and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Must have skills : Python (Programming Language) Good to have skills : PostgreSQLMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Modernization Engineer, you will engage in the development and testing of agile and cost-effective hosting solutions. Your typical day will involve collaborating with various teams to implement scalable and high-performance hosting solutions that cater to the demands of contemporary corporate and digital applications. You will work with both private and public cloud technologies, focusing on transforming and migrating legacy infrastructure to achieve next-generation business outcomes. This role requires a proactive approach to problem-solving and a commitment to delivering innovative solutions that enhance operational efficiency and effectiveness. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to foster professional growth.- Analyze and assess existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Good To Have Skills: Experience with PostgreSQL.- Strong understanding of cloud computing principles and practices.- Experience with agile methodologies and project management.- Proficiency in developing and deploying applications in cloud environments.- Familiarity with infrastructure as code tools and practices. Additional Information:- The candidate should have minimum 7.5 years of experience in Python (Programming Language).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving discussions, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between stakeholders to ensure project alignment and clarity.- Mentor junior team members, providing guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database design and management principles.- Experience with performance tuning and optimization of SQL queries.- Familiarity with backup and recovery strategies for SQL Server databases.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft SQL Server Administration.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities Implementing and maintaining Active Directory; Windows Server; MS Windows Clustering; enterprise SAN and NAS configurations; MS SCCM and VMware VCM; Antivirus Software, Application White Listing and Device Control; TCP/IP and other networking principles including DNS and DHCP; scripting language ; Experience with managing VMWare virtualization technologies; Virtual Center Management and Administration; vSphere Server, vSphere Client, and vCenter Server; Installation and support of VMware View to include Pool Management, Entitlements, Upgrades, and Break/Fix; deploying virtual machines and use technologies such as Snapshots, clones, templates. MCSE Certified or equivalent. What Are Our Desired Skills and Capabilities? Skills / Knowledge - Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept./peer review). Job Complexity - Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside their own area of expertise. Supervision - Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead). Active Directory Windows Server, MS Windows Clustering. NOTE : Candidate should be fine with 5 days WFO and rotational shift.

Job Description Managing Oracle AIA PIPs (O2C and AABC PIP) ,Oracle SOA Suite and OSB 12c environments, performing installation, configuration, and clustering tasks, and monitoring and troubleshooting composites, pipelines, and integrations ,integration with Oracle Enterprise Manager (OEM). The administrator will oversee WebLogic domains, JMS resources, and security configurations while conducting health checks, performance tuning, and issue resolution for middleware systems. Documenting processes and adhering to best practices is also a key part of the role. Career Level - IC2 Responsibilities Install, configure, and administer Oracle AIA solutions, including O2C and AABC PIPs, ensuring proper integration with Oracle SOA Suite and Oracle OSB environments. Manage and maintain Oracle SOA/OSB Suite, Oracle AIA 12.x , and WebLogic Server environments, ensuring high availability, performance, and scalability. Monitor, troubleshoot, and resolve issues using Oracle Enterprise Manager (OEM) and other monitoring tools to ensure optimal system performance. Identify and resolve infrastructure-related issues in BPEL, ESB, and XML/XSLT workflows to maintain seamless integration across enterprise systems. Perform regular system upgrades and patches for Oracle AIA, SOA Suite, and WebLogic environments, ensuring minimal downtime and risk mitigation. Work closely with the development team to configure and deploy Oracle AIA PIPs, facilitating the integration of enterprise applications. Provide ongoing support and troubleshooting for AIA-related integrations and workflows, ensuring timely resolution of technical challenges. Document and enforce integration best practices, including change management, version control, and deployment procedures to ensure consistency and reliability across environments. Collaborate with cross-functional teams to understand business requirements and tailor AIA solutions to meet specific integration needs. Conduct periodic health checks and performance tuning for Oracle AIA and SOA environments to optimize system efficiency and response times. Ensure compliance with security standards, ensuring that Oracle AIA environments are secured and appropriately configured according to enterprise security policies. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Managing Oracle AIA PIPs (O2C and AABC PIP) ,Oracle SOA Suite and OSB 12c environments, performing installation, configuration, and clustering tasks, and monitoring and troubleshooting composites, pipelines, and integrations ,integration with Oracle Enterprise Manager (OEM). The administrator will oversee WebLogic domains, JMS resources, and security configurations while conducting health checks, performance tuning, and issue resolution for middleware systems. Documenting processes and adhering to best practices is also a key part of the role. Career Level - IC2 Responsibilities Install, configure, and administer Oracle AIA solutions, including O2C and AABC PIPs, ensuring proper integration with Oracle SOA Suite and Oracle OSB environments. Manage and maintain Oracle SOA/OSB Suite, Oracle AIA 12.x , and WebLogic Server environments, ensuring high availability, performance, and scalability. Monitor, troubleshoot, and resolve issues using Oracle Enterprise Manager (OEM) and other monitoring tools to ensure optimal system performance. Identify and resolve infrastructure-related issues in BPEL, ESB, and XML/XSLT workflows to maintain seamless integration across enterprise systems. Perform regular system upgrades and patches for Oracle AIA, SOA Suite, and WebLogic environments, ensuring minimal downtime and risk mitigation. Work closely with the development team to configure and deploy Oracle AIA PIPs, facilitating the integration of enterprise applications. Provide ongoing support and troubleshooting for AIA-related integrations and workflows, ensuring timely resolution of technical challenges. Document and enforce integration best practices, including change management, version control, and deployment procedures to ensure consistency and reliability across environments. Collaborate with cross-functional teams to understand business requirements and tailor AIA solutions to meet specific integration needs. Conduct periodic health checks and performance tuning for Oracle AIA and SOA environments to optimize system efficiency and response times. Ensure compliance with security standards, ensuring that Oracle AIA environments are secured and appropriately configured according to enterprise security policies. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

We are seeking a skilled and innovative Deep Learning Engineer to join our AI/ML team. As a Deep Learning Engineer, you will develop, train, and deploy computer vision models that solve complex visual problems. You will work on cutting-edge technology involving image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Role: Data Scientist / Deep Learning Engineer Location: Pune General Summary Of The Role Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and onprem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Skills: computer vision,object detection,models,platforms,opencv,diffusion models,databases,classification,lstms,tensorflow,deep learning,python,rest apis,learning,grus,ocr technologies,pytorch,git,generative adversarial networks,image classification,sql/nosql databases,kubernetes,docker,vector databases,rnns,diffusion,data Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist, Product Data & Analytics Senior Data Scientist, Product Data & Analytics Our Vision: Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across the continents? Are you interested in proactively looking to improve data driven decisions for a global corporation? Role Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. Activities include developing and creating predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services. Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations. Leverage open and closed source technologies to solve business problems. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Create repeatable processes to support development of modelling and reporting Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed. Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc. All About You 6-8 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies. Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus Experience with data validation, quality control and cleansing processes to new and existing data sources. Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc. Experience on Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi is a plus Financial Institution or a Payments experience a plus Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills. Ownership of end-to-end Project Delivery/Risk Mitigation Virtual team management and manage stakeholders by influence Analytical/Problem Solving Able to prioritize and perform multiple tasks simultaneously Able to work across varying time zone. Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency. In depth technical knowledge, drive, and ability to learn new technologies. Must be able to interact with management, internal stakeholders Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must. Abide by Mastercard’s security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-244065 Show more Show less

Job Description Kaleris is a private equity-backed software firm focused on supply chain optimization, headquartered in Atlanta, Georgia. We are a global leader in the supply chain execution market, focused on accelerating the transformation of digital supply chain for industrial and finished goods shippers and carriers by combining best-in-class solutions for challenges tied to yard management, shipment visibility, and asset management, across rail, truck, and multi-mode transportation. The Kaleris IT Infrastructure Engineer plays a pivotal role in providing comprehensive IT infrastructure support to customers utilizing the N4 software, both in on-premises and cloud-hosted environments. This position involves collaborating with a diverse range of customers to offer strategic planning, technical design, and implementation of IT infrastructure solutions. Key responsibilities include the design of hosting environments, firewall setup, security audits, health checks, network and server maintenance, disaster recovery planning, and managing WAN/communication links to ensure seamless N4 software operation. Key Responsibilities Provide ongoing maintenance, troubleshooting, and support of customer IT infrastructure through Managed Services, including servers, network hardware and software, disaster recovery, storage, WAN/communication links, and cloud hosting environments. Design, implement, and maintain both on-premises and cloud-hosted infrastructure for the N4 Terminal Operating System (TOS). Monitor and diagnose infrastructure incidents affecting N4 TOS performance and the underlying systems, ensuring timely resolution. Consult with customers and troubleshoot N4 TOS-related software and infrastructure issues, providing solutions and expert guidance. Review, audit, and administer customer hardware and cloud configurations to ensure optimal performance. Ensure customer issues are resolved in line with Service Level Agreements (SLAs), maintaining high levels of customer satisfaction. Remain on standby for critical P1 incidents and provide weekend or shift-based support as required for 24/7 customer operations. Qualifications Extensive experience in server centralization, consolidation, and virtualization of servers and storage within modern IT architectures. Strong technical expertise in network hardware, protocols, and internet standards, with a solid understanding of operating systems and their configurations. In-depth knowledge of database technologies, including scaling, redundancy, and backup strategies. Proven experience in network capacity planning and network security, with a deep understanding of best practices in these areas. Ability to conduct advanced research into networking issues and provide recommendations for technical improvements. Exceptional troubleshooting skills with a focus on hardware and infrastructure optimization. Expertise and/or qualifications in the following technologies: Load Balancers Clustering Tomcat Oracle 11g or 11g RAC, SQL, MySQL databases Red Hat Linux 5 RAID Microsoft Server 2008 ActiveMQ Microsoft SQL Server 2012 JMS Firewalls A minimum of 3 years of consulting experience with the technologies listed above. Knowledge, Skills, And Abilities Experience in the maritime or logistics industry is highly desirable. Familiarity with N4 Terminal Operating System (TOS) is a significant advantage. Experience working in distributed, virtual teams with strong collaboration skills. Positive attitude, strong work ethic, and a demonstrated commitment to excellence. Exceptional organizational and multitasking skills, with a focus on detail. Outstanding customer service and follow-up abilities, ensuring issues are resolved effectively. Ability to work collaboratively and follow instructions, contributing to a team-oriented environment. Multilingual capabilities are a plus. This position is ideal for an IT professional with a strong technical foundation, seeking to support and enhance critical infrastructure solutions for global customers in the maritime and logistics sectors. Benefits & Compensation Competitive compensation package Paid Leave (Vacation/Annual, Casual, Volunteering time off) Hospitalization Insurance Life & Accident Insurance Broadband Allowance, IT gadgets Allowance Meal & Fuel Allowance Provident Fund Tuition Reimbursement Employee Assistance Program Career growth and mentorship Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

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, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Manager – Data Scientist – Trade Marketing Location: Bangalore Reporting to: Trade Marketing Manager Purpose of the role Use statistical and mathematical techniques to measure the impact of Promotions, Trade Programs, or Activations through Tests. Maintain python programming codes for the model which runs Test vs Control methodology Conduct exploratory studies to identify opportunities to increase ROI for future promotions. Optimize Sales package – Check spends Enhance, maintain python codes for the model which runs Test vs Control Strategy Design and deploy mathematical models to create Store level target lists to implement optimal ROI promotions in the future. Build recommendation models. Add features on top of the model to create robust algorithm. Communicate analysis results to business stakeholders through intuitive Power BI solutions. Setting framework for analysis based on Business Objective, thorough with Business level presentations. Build new AI & DS Products, Projects and effective Business Presentations and contribute to Business Target Achievements. Key tasks & accountabilities Expertise on Python to prepare & update algorithm. Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations. Expertise on Power BI to produce dashboards. Understanding of SQL to connect Power BI to Datalake & create automated outputs/Dashboards. Understanding the business problem and translating it into an analytical problem. Ability to solve problem quickly and effectively applying logical thinking and creative mindset. Handling large data sets to connect data points and provide insights that drive business. Be assertive and goal oriented and drive results with minimal support. Excellent excel, Power point and basic VBA, SQL skillset to convert unstructured data into structured format which optimizes time spent on data handling. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning Product building experience would be a plus. Interact with and present to Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Ability to work in collaboration with multiple teams within CP&A tower Develop deeper understanding related to different concepts of Category Management. Plan and implement different projects with multiple teams in Category Management. BUSINESS ENVIRONMENT Delivering insights and provocation as per timelines given Following processes and adhering to documentation goals High quality presentations Questions from business stakeholders answered satisfactorily within agreeable time Coming up with provocation, proposing what if or next level Challenges: Primary challenges include various sources of data, incomplete data which can throw off the analysis. Outliers to be removed and data to be cleaned before analysing and presenting to stake holders. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Master Graduate in the field of Business & Marketing, Engineering/Solution or other equivalent degree or equivalent work experience MBA/Engg. in a relevant technical field such as Marketing Previous Work Experience Required 2-3 and up years’ experience handling Data science Projects Prior experience in managing multiple files, data cleaning, and maintaining data in structured formats Technical Skills Required Proficient in Python, Power BI, SQL, VBA, Advanced Excel, MS PowerPoint, Power Apps Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of AI & ML concepts and optimization techniques to solve end-to-end business problems Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Good understanding of Statistical and Mathematical concepts And above all of this, an undying love for beer! We dream big to create future with more cheers . Show more Show less

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role We’re seeking an HR Data Scientist to help build and strengthen our People Analytics capabilities within the People Experience team. Our mission is to create a best-in-class employee experience, with data and analytics at its core. As a data scientist, you’ll have the opportunity to collaborate with team members on driving impactful analyses and/or data products that answer key talent and business questions. Key Responsibilities Include Contribute to scalable data management to ensure data accuracy and accessibility, bringing together multiple HR data systems and business-related data sources Perform statistical analysis, selecting the best method for the specific question and context (e.g., ranging from basic regression to advanced clustering or predictive models), maintaining a balance between innovative approaches and interpretability Create compelling data visualizations and data products to ensure insights are clearly and effectively communicated to key stakeholders Collaborate with stakeholders to scope and prioritize requests and drive insights aligned with organizational objectives. Help contribute to raising the overall level of analytical fluency across HR and the business. Your Skills And Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor’s degree in I/O psychology, data science, applied statistics, human resources, business analytics, or a related field. Master’s degree preferred. 4+ years of professional experience in HR, business analytics, or a similar analytical position. Experience with advanced statistical programming tools (R preferred, Python, etc.), query languages, and data visualization tools. Familiarity with range of statistical and data science methods and techniques, from regression and categorical data analysis, to organizational network analysis and predictive modeling. Additional qualifications that could help you succeed even further in this role include: Experience with various types of people data, e.g., coming from HR information systems (HRIS), timekeeping, employee survey tools, workforce planning systems Experience interpreting complex analyses and findings for audiences with varying levels of analytical fluency, especially with the goal of driving action or supporting decision-making Strong problem-solving skills, including the ability to think creativity about the data and application of novel or innovative methodologies. Experience working with cloud computing platforms (e.g., AWS, Google Cloud, MS Azure). Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com . Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Show more Show less