1646 Clustering Jobs - Page 16

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Job Description: We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities: Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Skills & Qualifications: Experience: B.Tech with 3-6 years of relevant experience in Machine Learning, AI, or Data Science roles. OR M.Tech, M. Statistics with 2-4 years of relevant experience in Machine Learning, AI, or Data Science roles. Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 2 college or similar colleges/universities. Technical Skills: Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following: Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments -> changed the wording, added points. Nice to Have: Object Oriented Programming. Familiarity with NLP, or time series analysis. -> Moving this into Nice to have, not bare min Exposure to deep learning models (RNN, LSTM) and working with GPUs. Show more Show less

Creative Technosoft System Pvt. Ltd. is seeking an experienced Senior SQL Database Administrator with over 5 + years of expertise in SQL, SQLite, Hadoop, and Big Data technologies . Proficiency in Python scripting is preferable to automate and optimize database operations. Preference will be given to candidates who are immediate joiners . The ideal candidate will be adept at managing, maintaining, and optimizing databases while collaborating with cross-functional teams to ensure data availability, integrity, and scalability. Responsibilities: Database Administration: Oversee the design, implementation, maintenance, and performance optimization of the applications’ SQL and SQLite databases . Big Data Expertise: Hands-on experience with Hadoop and other Big Data technologies to manage, process, optimize, and troubleshoot large datasets and distributed systems. Automation and Scripting: Develop and maintain automation scripts using Python to streamline routine database management tasks. Performance Tuning: Monitor and analyze database performance, identifying and resolving bottlenecks, slow queries, and other performance issues to ensure optimal system responsiveness. High Availability and Disaster Recovery: Implement and maintain high availability (HA) and disaster recovery (DR) solutions, such as clustering, mirroring, and AlwaysOn, to ensure data integrity and minimize downtime. Security and Compliance: Implement and enforce robust security measures to protect sensitive data, ensure compliance with industry regulations, and regularly conduct security audits. Backup and Recovery: Develop and maintain backup and recovery strategies to safeguard critical data, perform routine backups, and manage recovery processes. Capacity Planning: Monitor database growth trends and plan for capacity expansion, including provisioning and scaling of resources as needed. Database Upgrades and Migrations: Plan and execute upgrades, patches, and migrations of database systems while minimizing disruptions to operations. Troubleshooting: Investigate Show more Show less

Position: Machine Learning Engineer Intern Organization: TechKnowledgeHub.org Location: Remote / Hybrid / On-site (if applicable) Duration: 3–6 Months | Flexible Timings Stipend: Performance-Based / Certificate & LOR Provided About Us: TechKnowledgeHub.org is an emerging platform committed to empowering learners and professionals with cutting-edge knowledge in technology, data science, AI, and beyond. We provide hands-on training, industry-oriented projects, and real-world experience to bridge the gap between academia and industry. Internship Role Overview: We are looking for passionate and curious Machine Learning Engineer Interns who want to build real-world AI/ML applications and contribute to impactful projects. This role offers a unique opportunity to work closely with experienced mentors, learn industry practices, and strengthen your ML skillset. Responsibilities: Collaborate with the AI/ML team to design, develop, and deploy ML models Work on supervised and unsupervised learning algorithms, data preprocessing, and feature engineering Analyze large datasets and build models for prediction/classification Assist in developing APIs or deploying models using tools like Flask, FastAPI, or Streamlit Document code, experiments, and results for knowledge sharing Requirements: Good understanding of Python and core ML libraries (scikit-learn, pandas, NumPy, etc.) Knowledge of key ML algorithms like regression, decision trees, clustering, etc. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus Ability to work with datasets, preprocess data, and validate model performance Strong willingness to learn and contribute proactively What You’ll Gain: Hands-on experience with live ML projects Mentorship from experienced professionals Internship Certificate & Letter of Recommendation Exposure to deployment, version control (Git), and collaborative workflows Opportunity to be featured on TechKnowledgeHub’s platform for outstanding work How to Apply: Send your updated resume and a short statement about your interest in ML to resume@techknowledgehub.org Show more Show less

Job Title: Data Scientist – Real Estate Analytics Location: Yelahanka, Bangalore | Full-Time | On-Site About Us: Dharmic Homez is a fast-growing luxury real estate startup building ultra-premium villas in Bangalore. We’re seeking a Data Scientist to bring efficiency, insight, and intelligence across our operations, sales, and market strategy. Key Responsibilities: Build predictive models for lead conversion, pricing, ROI, and demand forecasting. Analyze sales, CRM, marketing, and customer behavior data . Develop dashboards using Power BI / Tableau / Google Data Studio . Perform geospatial analysis using GIS tools & Google Maps API. Clean, transform, and manage large datasets using SQL, Python (Pandas, NumPy) . Deploy machine learning algorithms (regression, classification, clustering). Conduct competitive benchmarking via web scraping or APIs. Collaborate cross-functionally with marketing, sales, and leadership teams. Requirements: 3+ years experience in data science or analytics. Proficient in Python, SQL, scikit-learn, pandas, matplotlib, seaborn . Strong in statistics, data wrangling, data visualization, ML models . Experience with real estate data or customer analytics preferred. Knowledge of APIs, ETL, and cloud tools (AWS/GCP) is a plus. Apply at careers@dharmichomez.in with subject line: Data Scientist – Real Estate Job Type: Full-time Pay: ₹500,000.00 - ₹850,000.00 per year Schedule: Day shift Ability to commute/relocate: Yelahanka Satellite Town, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have forecasting experience in real estate? Experience: Data science: 2 years (Preferred) Location: Yelahanka Satellite Town, Bengaluru, Karnataka (Preferred) Work Location: In person

Introduction Games24x7 is India’s leading and most valuable multi-gaming unicorn. We’re a full-stack gaming company, offering awesome game playing experiences to over 100 million players through our products - RummyCircle, India’s first and largest online rummy platform, My11Circle, the country’s fastest growing fantasy sports platform A pioneer in the online skill gaming industry in India, Games24x7 was founded in 2006 when two New York University trained economists Bhavin Pandya, and Trivikraman Thampy met at the computer lab and discovered their shared passion for online games. We’ve always been a technology company at heart, and over the last decade and a half, we’ve built the organisation on a strong foundation of ‘the science of gaming’, leveraging behavioural science, artificial intelligence, and machine learning to provide immersive and hyper-personalised gaming experiences to each of our players. Backed by marquee investors including Tiger Global Management, The Raine Group, and Malabar Investment Advisors, Games24x7 is leading the charge in India’s gaming revolution, constantly innovating and offering novel entertainment to players! Our 800 passionate teammates create their magic from our offices in Mumbai, Bengaluru, New Delhi, Miami, and Philadelphia. For more information and career opportunities you may visit www.games24x7.com. Summary of the Role Role: Senior Analyst Exp: 1+ years of experience post B.Tech/B.E We're looking for a results-oriented Data Analyst with a passion for uncovering insights that drive better business decisions. You'll possess expertise in SQL, Tableau, and Python, using these tools for in-depth analysis, A/B testing, time series forecasting, and customer segmentation. Your skills in data pipeline development and automation will streamline workflows and enhance data accessibility. Key Responsibilities: Data Preparation: Collect and structure data from various sources (e.g., databases, spreadsheets, internal systems). Rigorously clean and prepare data, ensuring consistency and quality for downstream analysis. Exploratory Analysis: Dive deep into datasets using SQL and Python. Discover patterns, anomalies, and potential relationships that inform further investigation. A/B Test Analysis: Design, execute, and analyse A/B tests to evaluate the effectiveness of website changes, marketing campaigns, and product features. Provide data-driven recommendations to optimise results. Segmentation Analysis: Apply clustering or other segmentation methods to identify distinct customer groups. Analyse behavioural patterns and develop targeted strategies. Data Pipelines: Build and maintain data pipelines to automate data collection, cleaning, and transformation. Optimise data workflows for efficiency. Visualisation and Reporting: Masterfully craft visualisations and dashboards in Tableau. Communicate complex findings clearly and concisely to diverse stakeholders. Python Automation: Streamline repetitive tasks and enhance analytical processes through Python scripting and automation. Required Skills and Qualifications: Technical Proficiency: ○ 1+ year post-BTech (IIT/NIT/BITS) working experience as a Data Analyst or Business Analyst ○ In-depth SQL expertise for complex querying and data manipulation. ○ Advanced Tableau proficiency for creating compelling visualizations and dashboards. Analytical Mindset: Demonstrated ability to interpret data, draw meaningful conclusions, and provide actionable recommendations. Communication Excellence: Excellent written and verbal communication skills to effectively present insights to both technical and non-technical audiences. Good to have: Strong Python skills for data exploration, analysis, and automation (pandas, NumPy). Work location: Mumbai * Games24x7 is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law * Show more Show less

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities ● Responsible for overseeing the data scientists team and data specialists ● Teach, lead, and counsel colleagues on new techniques or solutions ● Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem ● Responsible for the conception, planning, and prioritizing of data projects ● Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques ● Ensure that data projects align with organizational goals Minimum Qualification ● Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches ● Experience communicating quantitative analysis results ● Knowledge with relational databases and SQL ● Development experience in any scripting language (PHP, Python, Perl, etc.) ● Knowledge of statistics (e.g., hypothesis testing, regressions) ● Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have – ● Programming – Python (Preferred) / R ● ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect ● Classification – Bagging & Boosting (Random Forest), Decision tree, SVM ● Clustering – K-Means, hierarchical, DB-Scan ● Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM ● Neural Networks (Deep learning), Naive Bayes ● Excel and SQL ● Dimensionality Reduction – PCA, SVD etc. ● Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm ● Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – ● Visualization – Tableau / Power BI / Looker / QlikView ● Data management – HDFS, Spark, Advanced Excel ● Agile Tools – Azure DevOps, JIRA ● Pyspark ● Big Data/Hive Database ● IDE: Pycharm Show more Show less

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders Show more Show less

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com Show more Show less

Senior Data Scientist Hyderabad, Telangana, India Date posted Jun 19, 2025 Job number 1823535 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. AI powered Copilots has made the future to be the current reality. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Senior Data Scientist in the team, you will be working independently on challenging problems, define/measure success metrics for them, as well as contribute towards Design Reviews, ML/Data pipeline reviews for the whole team. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines A minimum of Bachelor’s degree in Computer Science or related field Prior work/research experience in Search domain is preferable Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, #M365CORE Responsibilities End to end ranking of search results. Large Language Models. AI powered Copilot scenarios. Compliance and Privacy aware Machine Learning training pipelines at scale. Personalization of search results. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Relocation Assistance Offered Within Country Job Number #167668 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose (3-4 sentences max.): The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling , simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 bullet points): Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 bullet points): BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 bullet points): Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Job Title : Database Consultant-I : : 3 to 5 : Us : Mydbops Is a Trusted Leader With 8+ Years Of Excellence In Open-source Database Management. We Deliver Best-in-class Services Across MySQL, MariaDB, MongoDB, PostgreSQL, TiDB, Cassandra, And More. Our Focus Is On Building Scalable, Secure, And High-performance Database Solutions For Global Clients. As a PCI DSS-certified And ISO-certified Organisation, We Are Committed To Operational Excellence And Data Overview As a Database Consultant I (PostgreSQL), you will take ownership of PostgreSQL database environments, offering expert-level support to our clients. This role involves proactive monitoring, performance tuning, troubleshooting, high availability setup, and guiding junior team members. You will play a key role in customer-facing technical delivery, solution design, and Responsibilities : Manage PostgreSQL production environments for performance, stability, and scalability. Handle complex troubleshooting, performance analysis, and query optimisation. Implement backup strategies, recovery solutions, replication, and failover techniques. Set up and manage high availability architectures (Streaming Replication, Patroni, etc.). Work with DevOps/cloud teams for deployment and automation. Support upgrades, patching, and migration projects across environments. Use monitoring tools to proactively detect and resolve issues. Mentor junior engineers and guide troubleshooting efforts. Interact with clients to understand requirements and deliver : 3 to 5 years of hands-on experience in PostgreSQL database administration. Strong Linux OS knowledge and scripting skills (Bash/Python). Proficiency in SQL tuning, performance diagnostics, and explain plans. Experience with tools like pgBackRest, Barman for backup and recovery. Familiarity with high availability, failover, replication, and clustering. Good understanding of AWS RDS, Aurora PostgreSQL, and GCP Cloud SQL. Experience with monitoring tools like pg_stat_statements, PMM, Nagios, or custom dashboards. Knowledge of automation/configuration tools like Ansible or Terraform is a plus. Strong communication and problem-solving Qualifications : Bachelors or Masters degree in Computer Science, Engineering, or equivalent. PostgreSQL certification (EDB/Cloud certifications preferred). Past experience in a consulting, customer support, or managed services role. Exposure to multi-cloud environments and database-as-a-service platforms. Prior experience with database migrations or modernisation Join Us : Opportunity to work in a dynamic and growing industry. Learning and development opportunities to enhance your career. A collaborative work environment with a supportive team. Job Details Job Type : Days : 5 Mode : Work From Required : 3 to 5 years (ref:hirist.tech) Show more Show less

Key Responsibilities Install, configure, upgrade, and patch MySQL database instances across various environments (development, staging, production). Monitor database performance, availability, and capacity, implementing proactive measures to prevent issues. Set up and manage comprehensive database backup, recovery, and disaster recovery strategies, conducting regular restore drills. Perform advanced MySQL performance tuning, including query optimization, indexing strategies, schema improvements, and server configuration adjustments. Analyze and troubleshoot complex database performance bottlenecks and provide effective solutions. Design, implement and maintain high availability solutions using MySQL Replication (Master-Slave, Group Replication, etc.) and clustering technologies. Ensure robust failover mechanisms and data consistency across replicated environments. Implement and enforce database security best practices, including user access management, encryption, and auditing. Ensure compliance with relevant data privacy and security regulations. Diagnose and resolve complex database-related issues swiftly, providing expert-level support for production incidents. Perform root cause analysis for recurring problems and implement preventive measures. Conduct regular capacity planning to anticipate future database growth and resource requirements. Develop and implement scripts (Shell, Python, etc.) to automate routine database administration tasks, monitoring, and reporting. Collaborate closely with development teams, system administrators, and infrastructure engineers to support application needs and ensure smooth deployments. Maintain comprehensive documentation for database configurations, procedures, and best Qualifications : 5-7 years of dedicated, hands-on experience as a MySQL Database Administrator in a production environment. Deep expertise in MySQL architecture, administration, and troubleshooting. Strong experience with MySQL performance tuning and optimization. Proven experience in setting up and managing MySQL Replication (Master-Slave, Group Replication) and high availability solutions. Proficiency in designing and implementing robust backup and recovery strategies. Excellent command of SQL, including writing complex queries, stored procedures, functions, and understanding indexing strategies. Strong proficiency in Linux/Unix operating systems for database deployment, management, and troubleshooting. Hands-on experience with scripting languages (e.g., Shell scripting, Python) for database : Bachelor's degree in Computer Science, Information Technology, or a related technical QUALIFICATIONS (GOOD TO HAVE) : MySQL certifications (e.g., Oracle Certified Professional, MySQL Database Administrator). Experience with cloud database services (e.g., AWS RDS for MySQL, Azure Database for MySQL, Google Cloud SQL). Familiarity with other database technologies (e.g., PostgreSQL, MongoDB) or NoSQL databases. Experience with database monitoring tools beyond native MySQL (e.g., Percona Monitoring and Management, Prometheus/Grafana). Knowledge of database security best practices and compliance frameworks. Understanding of DevOps principles and experience with infrastructure as code (IaC) (ref:hirist.tech) Show more Show less

Title : Data Scientist Experience : 4 to 6 years Company : Scry AI Skill Sets : GEN AI (LLM), Python, Scikit-learn, SQL, k-means, decision trees, random forests, neural networks, genetic algorithms About The Role Design and develop Predictive Analytics and Prescriptive Analytics architecture and features for artificial intelligence software solutions, including developing machine learning and statistical models to perform big data analysis. Duties Will Include The Following Research, design and develop algorithms and techniques to perform data manipulation and transformation; build generative and discriminative models to perform clustering, classification, regression, and recommendation systems. Design and build custom machine learning models. Building GEN AI (LLM) pipelines using LangChain, LlamaIndex, Vector DBs, embedding generation and Hugging Face. Build and implement machine learning algorithms to plan, create, coordinate, and deploy business information solutions; gather business requirements and technical specifications for developing analytics solutions. Develop artificial intelligence and machine learning algorithms. Custom design and implement various techniques in machine learning such as support vector machines, neural networks, genetic algorithms, principal component analysis, cluster analysis, k-means, decision trees, random forests, regression analysis, Bayesian analysis, Na- ve Bayes, and deep learning. Analyze large, complex and multi-dimensional data sets. Develop analytic solutions using R, Python, Scikit-learn, SQL and similar statistical tools and frameworks. Utilize Deep Learning neural networks including RNN, CNN, LSTM, and Autoencoder to predict the behavior and performance of businesses. Requirements Masters degree (or equivalent-) in Data Informatics, Computer Science, Applied Mathematics, Statistics, Analytics or a related field such as Computer Science and Engineering. Minimum 4+ years of relevant experience in the job offered or as a Software Engineer, Software Engineering Analyst, Application Developer, Programmer Analyst. Minimum 2 years of experience with algorithm design and development; software architecture development; data engineering, data structures, and data visualization; statistical data analysis. Artificial Intelligence (AI) and deep learning techniques; feature synthesis, engineering, and hyper-parameter tuning. Natural Language Processing; Machine Learning, including Bayesian modeling, multivariate and logistic regression, support vector machines, cluster analysis, decision and regression trees, random forest, neural networks and ensemble methods; analyzing large, complex, multi-dimensional data sets and developing analytic solutions. Experience working with structured and unstructured data (text, image). Working experience with unstructured data such as audios and videos is not mandatory but will be an add-on advantage. Experience in predictive analytics using R, Python, Scikit-learn, and SQL, PostgreSQL statistical tools; Spark, Hadoop, Unix O/S, GitHub; and programming languages Java, Python, R. Our Perfect Candidate Is Someone That Is proactive and an independent problem solver. Is a constant learner. We are a fast-growing company. We want you to grow with us! Is a team player and good communicator. (ref:hirist.tech) Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal’s platform and improve the experience for PayPal’s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers’ financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners: product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description: Your way to impact Data scientists deeply understand PayPal’s business objectives, as their impact on PayPal’s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal’s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What Do You Need To Bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 3+ years of related professional experience or master’s degree with 1+ years of related experience. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127047 Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal’s platform and improve the experience for PayPal’s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers’ financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners: product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description: Your way to impact Data scientists deeply understand PayPal’s business objectives, as their impact on PayPal’s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal’s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What Do You Need To Bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 3+ years of related professional experience or master’s degree with 1+ years of related experience. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127047 Show more Show less

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com Whatsapp - 7302239534

Altera, a member of the N. Harris Computer Corporation family, delivers health IT solutions that support caregivers around the world. These include the Sunrise™, Paragon®, Altera TouchWorks®, Altera Opal, STAR™, HealthQuest™ and dbMotion™ solutions. At the intersection of technology and the human experience, Altera Digital Health is driving a new era of healthcare, in which innovation and expertise can elevate care delivery and inspire healthier communities across the globe. A new age in healthcare technology has just begun. RESPONSIBILITIES: Responsible for the configuration/installation/upgrades, performance monitoring, security, and continual improvement of our client's server and Applications. Responsible for supporting our client infrastructure applications, including Microsoft SQL Servers, Active Directory and Core Windows components like IIS, Clusters and File system. Responsible for New Server build, Application installation & configuration as per Product requirement. Responsible for upgrading and maintaining the Applications in co-ordination with Project Management Team Coordinate with all the internal teams to complete the projects and related tasks. Responsible for continuous improvement and enhancement of Infrastructure-related services. Analyze technical and business needs and recommend solutions Maintain positive relationships with clients, end users and vendors, and consultants. Maintain current working knowledge in systems and hardware, and incorporate new developments into the future systems of the enterprise Good Communication & Email Skills are mandatory. Job Requirements: Experience : 0-1 Year of administrating enterprise Windows and Virtual Environment. Experience with building servers as per standards will be added advantage. Responsible for monitoring performance and system usage. Experience / Knowledge with monitoring tools and antivirus will be an added advantage. Experience / Knowledge in planning, design, and installation of any application. Health care IT experience will be preferred Skills : Troubleshooting skills Excellent written and oral communication skills. Ability to be proactive and work independently with limited direction. Sound knowledge on Various Operating systems flavors, System files, Registry Microsoft Active Directory services & Domain knowledge. AI and Automation knowledge would be an additional advantage Mandatory : Must have experience with IIS, Clustering & File & Print services. Knowledge on SQL server and batch files will be an added advantage. Altera is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at: HR.Recruiting@AlteraHealth.com Show more Show less

Job Description 6-8 years’ experience in designing, implementing mobile based operator round/ Inspection round /Logbook solution. Good understanding of activities carried out by Operator during field rounds and work processes in Refinery/Petrochemical/Mining domain. Prior experience of Implementing Operator/Filed round solutions like Honeywell Forge Inspection round (movilizer), Aveva Mobile operator (IntelaTrac AVEVA Mobile Operator Rounds), j5 Operator Rounds & Routine Duties, GE APM Rounds Pro - Operator Rounds solution etc. Good Expertise in SQL and able to write SQL View/Stored procedure Good understanding of Historian solutions and Operator logbook solutions. Familiar with Agile development methodology (development lifecycle) Experience in deployment of Operator logbook solutions like Dynamo operation suite, j5 Operations logbook, Exaquantum Electronic Logbook etc., will be added advantage knowledge on deployment, Maintenance and Monitoring of the following will be added advantage. Linux Server administration (RedHat, CentOS, Ubuntu), Shell, Perl and Networking (Load Balancer-NGINX and HA Proxy) Knowledge of Clustering is required Apache Tomcat, Cassandra, Kafka, Zookeeper Docker Registry, Nexus, Expert in Docker and Kubernetes Responsibilities Independently execute the technical delivery of the project right from design to closure. Develop design documents- FDS, DDS, test procedures and training manuals. Translate functional requirements to technical requirements and work with cross functional team of infrastructure, Integration, Dashboard, and reports to ensure smooth execution. Implement operator rounds/Inspection rounds/ operations Logbook solution Work under lead supervision to gather requirements and build required solutions (Design, Configure, test, and deploy solutions) as per customer RFQ Manage customer expectations and ensure delivery of good quality and on-time delivery. Address customer issues on time by escalating to the right internal stakeholders Follow the Company defined standard practices and methods Qualifications BE/B.Tech in Chemical Engineering/Instrumentation/Computer science Engineering. Experience: 6+ years with a minimum of 3 years of experience in deployment of Operator round/Inspection round solutions like Honeywell Forge Inspection round (movilizer), Aveva Mobile operator (IntelaTrac AVEVA Mobile Operator Rounds), j5 Operator Rounds & Routine Duties, GE APM Rounds Pro - Operator Rounds solution etc. About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable. Show more Show less

We're Hiring: Data Scientist Databricks & ML Deployment Expert Location: Mumbai/Pune Experience: 38 Years Apply Now! Are you passionate about deploying real-world machine learning solutions? We're looking for a versatile Data Scientist with deep expertise in Databricks, PySpark , and end-to-end ML deployment to drive impactful projects in the Retail and Automotive domains. What Youll Do Develop scalable ML models (Regression, Classification, Clustering) Deliver advanced use cases like CLV modeling , Predictive Maintenance , and Time Series Forecasting Design and automate ML workflows on Databricks using PySpark Build and deploy APIs to serve ML models (Flask, FastAPI, Django) Own model deployment and monitoring in production environments Work closely with Data Engineering and DevOps teams for CI/CD integration Optimize pipelines and model performance (code & infrastructure level) Must-Have Skills Strong hands-on with Databricks and PySpark Proven track record in ML model development & deployment (min. 2 production deployments) Solid grasp of Regression, Classification, Clustering & Time Series Proficiency in SQL , workflow automation, and ELT/ETL processes API development (Flask, FastAPI, Django) CI/CD, deployment automation, and ML pipeline optimization Familiarity with Medallion Architecture Domain Expertise Retail : CLV, Pricing, Demand Forecasting Automotive : Predictive Maintenance, Time Series Nice to Have MLflow, Docker, Kubernetes Cloud: Azure, AWS, or GCP If you're excited to build production-ready ML systems that create real business impact, we want to hear from you! Apply Now to chaity.mukherjee@celebaltech.com.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description Location: Mumbai/Bangalore Primary Skill : VMWare Secondary Skill : Excellent Oral and Written Communication Proactive approach Self-starter with excellent planning. Disciplined approach / Go getter Assertive to drive different stake holders (internal and external) to achieve the desired results Good knowledge /Certification on ITIL Design; deploy; and manage VMware vSphere environments; including ESXi hosts and vCenter. Update/upgrade Hypervisor/vCenter to latest build Troubleshoot critical issues related with VMs/Esxi/vCenter/Cluster/HA/DRA Content Library management; VM Deployment; Templates Administer HP Synergy composable infrastructure (compute; storage; and networking).Monitor system performance and optimize for efficiency and scalability. Manage server hardware (HP ProLiant & BladeSystem servers) with a focus on uptime and redundancy. Manage HPE Synergy Service Profile/templates/networking/storage Manage and configure boot from SAN for Esxi hosts and other physical servers Update/Upgrade firmware of HPE Synergy Shared infra/Interconnects/Chassis/Blade Server Implement security best practices; vulnerability management Configure/Manage volumes/Hosts/Host Group on Pure Storage Manage VMWare Tanzu Cluster including Kubernet VMWare and HPE Synergy Admin Key Responsibilities: Design; deploy; and manage VMware vSphere environments; including ESXi hosts and vCenter.. Update/upgrade Hypervisor/vCenter to latest build. Troubleshoot critical issues related with VMs/Esxi/vCenter/Cluster/HA/DRA. Content Library management; VM Deployment; Templates. Administer HP Synergy composable infrastructure (compute; storage; and networking). Monitor system performance and optimize for efficiency and scalability. Manage server hardware (HP ProLiant & BladeSystem servers) with a focus on uptime and redundancy. Manage HPE Synergy Service Profile/templates/networking/storage Manage and configure boot from SAN for Esxi hosts and other physical servers. Update/Upgrade firmware of HPE Synergy Shared infra/Interconnects/Chassis/Blade Server Implement security best practices; vulnerability management. Configure/Manage volumes/Hosts/Host Group on Pure Storage. Manage VMWare Tanzu Cluster including Kubernet Required Skills: Proven experience with VMware vSphere; including vCenter and ESXi. Strong knowledge of HP Synergy infrastructure and HPE OneView. Familiarity with SAN/NAS; vSAN; vSwitch; and virtualization clustering. Excellent troubleshooting and problem-solving skills in enterprise environments. Primary Skill VMware Cluster Vcenter Hypervisor VSan Secondary Skill VSphere ESXI

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by"a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations"unlock the value of technology and build a more sustainable, more inclusive world. Wintel Windows Server; Microsoft Hyper V clustering Primary Skills: Wintel Secondary Skills: Hyper V; Clustering Certifications (if any)JDL2/L3 level Server management knowledge for AD;DHCP;DNS Servers. File server permission handling. Should have experience / Knowledge of Hyper V and clustering. Familiar with the windows server (2008;2012;2016) infra Good Knowledge of installation and troubleshooting of End Point operating Systems like Windows 10 / Windows 11Should be capable of providing L2 and L3 support for server related issues and Windows server migrations. Should be capable of Upgrade and patching of Windows server. Should have good knowledge of PowerShell commands. Should have knowledge regarding office 365 user creation and User management.Should be capable of providing L2/L3 support for Hardware and VMWare related issues Should have hands on experience of troubleshooting Anti Virus related issues. Should have knowledge of Web Proxy and MS-Office products File server permission handling. Should have knowledge of Powerpoint and Excel. Should be having good analytical skills. Should have fluent communication skills. Should be a good team member & having team handling experience. Good understanding of Windows infrastructure; Active Directory; GPO; ADFS etc.) Primary Skill Windows Server Admin Active Directory Secondary Skill Hyper V Clustering Certification