3040 Clustering Jobs - Page 3

We are hiring a Senior Software Development Engineer for our platform. We are helping enterprises and service providers build their AI inference platforms for end users. As a Senior Software Engineer, you will take ownership of backend-heavy, full-stack feature development—building robust services, scalable APIs, and intuitive frontends that power the user experience. You’ll contribute to the core of our enterprise-grade AI platform, collaborating across teams to ensure our systems are performant, secure, and built to last. This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Responsibilities: Design, develop and maintain databases, system APIs, system integrations, machine learning pipelines and web user interfaces. Scale algorithms designed by data scientists for deployment in high-performance environments. Develop and maintain continuous integration pipelines to deploy the systems. Design and implement scalable backend systems using Golang, C++, Go,Python. Model and manage data using relational (e.g., PostgreSQL , MySQL). Build frontend components and interfaces using TypeScript, and JavaScript when needed. Participate in system architecture discussions and contribute to design decisions. Write clean, idiomatic, and well-documented Go code following best practices and design patterns. Ensure high code quality through unit testing, automation, code reviews, and documentation Communicate technical concepts clearly to both technical and non-technical stakeholders. Qualifications and Criteria: 5–10 years of professional software engineering experience building enterprise-grade platforms. Deep proficiency in Golang , with real-world experience building production-grade systems. Solid knowledge of software architecture, design patterns, and clean code principles. Experience in high-level system design and building distributed systems. Expertise in Python and backend development with experience in PostgreSQL or similar databases. Hands-on experience with unit testing, integration testing, and TDD in Go. Strong debugging, profiling, and performance optimization skills. Excellent communication and collaboration skills. Hands-on experience with frontend development using JavaScript, TypeScript , and HTML/CSS. Bachelor's degree or equivalent experience in a quantitative field (Computer Science, Statistics, Applied Mathematics, Engineering, etc.). Skills: Understanding of optimisation, predictive modelling, machine learning, clustering and classification techniques, and algorithms. Fluency in a programming language (e.g. C++, Go, Python, JavaScript, TypeScript, SQL). Docker, Kubernetes, and Linux knowledge are an advantage. Experience using Git. Knowledge of continuous integration (e.g. Gitlab/Github). Basic familiarity with relational databases, preferably PostgreSQL. Strong grounding in applied mathematics. A firm understanding of and experience with the engineering approach. Ability to interact with other team members via code and design documents. Ability to work on multiple tasks simultaneously. Ability to work in high-pressure environments and meet deadlines. Compensation: Commensurate with experience Position Type: Full-time ( In House ) Location: Ahmedabad / Jamnagar Gujarat India. Submission Requirements CV All academic transcripts Submit to chintanit22@gmail.com , dipakberait@gmail.com with the name of the position you wish to apply for in the subject line. Job Type: Full-time Pay: From ₹40,000.00 per month Benefits: Paid sick time Location Type: In-person Schedule: Day shift Monday to Friday Experience: Full-stack development: 5 years (Preferred) Work Location: In person

Role: Neo4j Engineer Overall IT Experience: 7+ years Relevant experience: (Graph Databases: 4+ years, Neo4j: 2+ years) Location: Remote Company Description Bluetick Consultants is a technology-driven firm that supports hiring remote developers, building technology products, and enabling end-to-end digital transformation. With previous experience in top technology companies such as Amazon, Microsoft, and Craftsvilla, we understand the needs of our clients and provide customized solutions. Our team has expertise in emerging technologies, backend and frontend development, cloud development, and mobile technologies. We prioritize staying up-to-date with the latest technological advances to create a long-term impact and grow together with our clients. Key Responsibilities • Graph Database Architecture: Design and implement Neo4j graph database schemas optimized for fund administration data relationships and AI-powered queries • Knowledge Graph Development: Build comprehensive knowledge graphs connecting entities like funds, investors, companies, transactions, legal documents, and market data • Graph-AI Integration: Integrate Neo4j with AI/ML pipelines, particularly for enhanced RAG (Retrieval-Augmented Generation) systems and semantic search capabilities • Complex Relationship Modeling: Model intricate relationships between Limited Partners, General Partners, fund structures, investment flows, and regulatory requirements • Query Optimization: Develop high-performance Cypher queries for real-time analytics, relationship discovery, and pattern recognition • Data Pipeline Integration: Build ETL processes to populate and maintain graph databases from various data sources including FundPanel.io, legal documents, and external market data using domain specific ontologies • Graph Analytics: Implement graph algorithms for fraud detection, risk assessment, relationship scoring, and investment opportunity identification • Performance Tuning: Optimize graph database performance for concurrent users and complex analytical queries • Documentation & Standards: Establish graph modelling standards, query optimization guidelines, and comprehensive technical documentation Key Use Cases You'll Enable • Semantic Search Enhancement: Create knowledge graphs that improve AI search accuracy by understanding entity relationships and context • Investment Network Analysis: Map complex relationships between investors, funds, portfolio companies, and market segments • Compliance Graph Modelling: Model regulatory relationships and fund terms to support automated auditing and compliance validation • Customer Relationship Intelligence: Build relationship graphs for customer relations monitoring and expansion opportunity identification • Predictive Modelling Support: Provide graph-based features for investment prediction and risk assessment models • Document Relationship Mapping: Connect legal documents, contracts, and agreements through entity and relationship extraction Required Qualifications • Bachelor's degree in Computer Science, Data Engineering, or related field • 7+ years of overall IT Experience • 4+ years of experience with graph databases, with 2+ years specifically in Neo4j • Strong background in data modelling, particularly for complex relationship structures • Experience with financial services data and regulatory requirements preferred • Proven experience integrating graph databases with AI/ML systems • Understanding of knowledge graph concepts and semantic technologies • Experience with high-volume, production-scale graph database implementations Technology Skills • Graph Databases: Neo4j (primary), Cypher query language, APOC procedures, Neo4j Graph Data Science library • Programming: Python, Java, or Scala for graph data processing and integration • AI Integration: Experience with graph-enhanced RAG systems, vector embeddings in graph context, GraphRAG implementations • Data Processing: ETL pipelines, data transformation, real-time data streaming (Kafka, Apache Spark) • Cloud Platforms: Neo4j Aura, Azure integration, containerized deployments • APIs: Neo4j drivers, REST APIs, GraphQL integration • Analytics: Graph algorithms (PageRank, community detection, shortest path, centrality measures) • Monitoring: Neo4j monitoring tools, performance profiling, query optimization • Integration: Elasticsearch integration, vector database connections, multi-modal data handling Specific Technical Requirements • Knowledge Graph Construction: Entity resolution, relationship extraction, ontology modelling • Cypher Expertise: Advanced Cypher queries, stored procedures, custom functions • Scalability: Clustering, sharding, horizontal scaling strategies • Security: Graph-level security, role-based access control, data encryption • Version Control: Graph schema versioning, migration strategies • Backup & Recovery: Graph database backup strategies, disaster recovery planning Industry Context Understanding • Fund Administration: Understanding of fund structures, capital calls, distributions, and investor relationships • Financial Compliance: Knowledge of regulatory requirements and audit trails in financial services • Investment Workflows: Understanding of due diligence processes, portfolio management, and investor reporting • Legal Document Structures: Familiarity with LPA documents, subscription agreements, and fund formation documents Collaboration Requirements • AI/ML Team: Work closely with GenAI engineers to optimize graph-based AI applications • Data Architecture Team: Collaborate on overall data architecture and integration strategies • Backend Developers: Integrate graph databases with application APIs and microservices • DevOps Team: Ensure proper deployment, monitoring, and maintenance of graph database infrastructure • Business Stakeholders: Translate business requirements into effective graph models and queries Performance Expectations • Query Performance: Ensure sub-second response times for standard relationship queries • Scalability: Support 100k+ users with concurrent access to graph data • Accuracy: Maintain data consistency and relationship integrity across complex fund structures • Availability: Ensure 99.9% uptime for critical graph database services • Integration Efficiency: Seamless integration with existing FundPanel.io systems and new AI services This role offers the opportunity to work at the intersection of advanced graph technology and artificial intelligence, creating innovative solutions that will transform how fund administrators understand and leverage their data relationships.

🤖 Machine Learning Intern – Remote | Learn AI by Building It 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate After Completion || Letter of Recommendation (6 Months) 🕒 Schedule: 5–7 hrs/week | Flexible Timing Join Skillfied Mentor as a Machine Learning Intern and move beyond online courses. You’ll work on real datasets, build models, and see your algorithms in action — all while gaining experience that hiring managers actually look for. Whether you're aiming for a career in AI, data science, or automation — this internship will build your foundation with hands-on learning. 🔧 What You’ll Do: Work with real datasets to clean, preprocess, and transform data Build machine learning models using Python, NumPy, Pandas, Scikit-learn Perform classification, regression, and clustering tasks Use Jupyter Notebooks for experimentation and documentation Collaborate on mini-projects and model evaluation tasks Present insights in simple, digestible formats 🎓 What You’ll Gain: ✅ Full Python course included during the internship ✅ Hands-on projects to showcase on your resume or portfolio ✅ Certificate of Completion + LOR (6-month internship) ✅ Experience with industry-relevant tools & techniques ✅ Remote flexibility — manage your time with just 5–7 hours/week 🗓️ Application Deadline: 5th August 2025 👉 Apply now to start your ML journey with Skillfied Mentor

Overview We are seeking a self-driven, inquisitive & curious SRE Database Site reliability engineer that drives reliability, performance, and availability, including ensuring data security and access control of database systems leveraged by the frontend application and the business transactions in both SQL and NoSQL database systems This is a critical enabler achieving a high resiliency during operations and also continuously improving through design during the software development lifecycle. The SRE database support engineer is integral part of the global team with its main purpose to provide a delightful customer experience for the user of the global consumer, commercial, supply chain and enablement functions in the PepsiCo digital products application portfolio of 260+ applications, enabling a full SRE Practice incident prevention / proactive resolution model. The scope of this role is focussed on the Modern architected cloud native application portfolio It requires a blend of technical expertise of database administration / engineering, SRE tools, modern applications architecture, IT operations experience, and analytics & influence skills. Responsibilities Reporting directly to the Modern IT Operations SRE enablement Associate Director, is responsible to enable & execute the pre-emptive diagnosis of an PepsiCo DPA applications towards service performance, reliability and availability expected by our customers and internal groups Ensure database availability, performance, and security in production environments. Instrument, monitor, pro-actively collaborate with development teams to optimize schema design, indexing, and query plans. Automate tasks using scripts or infrastructure-as-code tools. Understanding of cloud infrastructure and services. Ability to design and implement database replication and failover solutions. Providing insights along with troubleshoot and resolve database-related incidents and outages Stay up to date with emerging database technologies and best practices. Work closely with customer facing support teams to evolve & empower them with SRE insights Ability to collaborate effectively with development and operations teams. Participate in on-call support and orchestrating blameless post-mortems and encourage the practise within the organization Provides inputs to the definition, collection and analysis of data relevant products systems and their interactions towards output resiliency of the IT ecosystem especially related impacting customer statisfaction, Revenue or IT productivity Actively engage and drive AI Ops adoption across teams Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. 8-12 years of professional experience as a Database administrator and or / database SRE with application knowledge Hands-on experience with Microsoft SQL Server, PostgreSQL, MySQL, and at least one leading NoSQL technology such as MongoDB, Cassandra, or Couchbase. Proficiency in writing complex SQL queries, stored procedures, and functions. Experience building self-heal scripts or remediation runbooks (Python, PowerShell, Bash)- Azure Logic Apps, Azure Functions- Integration with ServiceNow and AppDynamics APIs- Exposure with replication, clustering, and high availability setups. Experience with cloud platforms (AWS, Azure, Google Cloud Spanner, etc.). Solid understanding of database security, auditing, and compliance requirements. Familiarity with DevOps tools and practices (CI/CD, version control, infrastructure automation). Excellent problem-solving and analytical skills. Strong communication and documentation skills. Preferred Qualifications: Certifications such as Microsoft Certified: Azure Database Administrator Associate, MongoDB Certified DBA, or similar. Experience with cloud platforms (AWS RDS, Azure SQL, Google Cloud Spanner, etc.). Exposure to containerized database deployments using Docker or Kubernetes. Leadership and Soft skills: Driving for Results: Demonstrates perseverance and resilience in the pursuit of goals. Confronts and works to resolve tough issues. Exhibits a “can-do” attitude and a willingness to take on significant challenges Decision Making: Quickly analyses complex problems to find actionable, pragmatic solutions. Sees connections in data, events, trends, etc. Consistently works against the right priorities Collaborating: Collaborates well with others to deliver results. Keeps others informed so there are no unnecessary surprises. Effectively listens to and understands what other people are saying. Communicating and Influencing: Ability to build convincing, persuasive, and logical storyboards. Strong executive presence. Able to communicate effectively and succinctly, both verbally and on paper. Motivating and Inspiring Others: Demonstrates a sense of passion, enjoyment, and pride about their work. Demonstrates a positive attitude in the workplace. Embraces and adapts well to change. Creates a work environment that makes work rewarding and enjoyable.

Requisition id:1631311 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your Key Responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills And Attributes For Success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What We Look For People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What Working At EY Offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: full-time conversion Eligibility: Recent graduates or final year students from Engineering Science with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills And Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 5-12 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

About Us We are a fast-growing tech-driven company revolutionizing the logistics space through digital platforms. As we scale our products and reach, we’re looking for a data-savvy, AI-forward SEO Specialist to lead our organic growth strategy and ensure we’re discoverable by the right audience at the right time. Role Overview As an SEO Specialist, you will be responsible for developing and executing strategies to increase our organic visibility across search engines. You should be deeply analytical, up-to-date with the latest SEO trends, and comfortable using modern AI-powered tools to optimize content, perform keyword research, automate repetitive tasks, and extract insights. Key Responsibilities - Develop and execute on-page and off-page SEO strategies to improve search rankings and drive quality traffic. - Perform advanced keyword research and competitive analysis using both traditional and AI tools (e.g., SEMrush, Ahrefs, ChatGPT, SurferSEO, etc.). - Optimize website content, metadata, internal linking, and user experience based on SEO best practices. - Write content and collaborate product team to create SEO-friendly content using AI-driven ideation, briefs, and optimization tools. - Monitor, report, and analyze SEO performance using Google Analytics, Search Console, and AI-powered dashboards. - Identify and resolve technical SEO issues (site speed, crawlability, indexation). - Stay updated with SEO, search engine algorithm changes, and AI trends to continually evolve our approach. - Leverage AI for tasks like content clustering, keyword gap analysis, SERP intent prediction, and backlink analysis. Requirements - 3+ years of proven SEO experience, preferably in a tech or SaaS environment. - Strong understanding of search engine algorithms, ranking factors, and core SEO principles. - Proficiency in tools like Google Search Console, Google Analytics, Screaming Frog, Ahrefs/SEMrush, and SurferSEO. - Experience using AI tools (e.g., ChatGPT, Jasper, Frase, Clearscope) to augment SEO workflows. - Basic understanding of HTML, CSS, and website architecture. - Ability to analyze data, draw insights, and translate them into action. - Strong written and verbal communication skills. - Bonus: Experience in international or multilingual SEO, programmatic SEO, or AI-powered content generation at scale.

The Role We are hiring an AI/ML Developer (India), to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. What You Will Be Doing •Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. •Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. •Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). •Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. •Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. •Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. •Design and optimize ETL pipelines for data quality management, transformation, and validation. •Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. •Create interactive data visualizations using Tableau and Power BI to drive business insights. •Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. •Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. What You Bring Along •2+ years of experience applying AI to practical uses. •Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. •Knowledge of basic algorithms and object-oriented and functional design principles •Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn. •Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. •Experience with big data processing using Apache Spark and Snowflake. •Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services. •Strong understanding of database management, query optimization, and data warehousing. •Experience with data visualization tools such as Tableau and Power BI. •Ability to work in a collaborative environment and adapt to new AI technologies. •Strong analytical and problem solving skills. Education: •Bachelor’s degree in computer science, Data Science, AI/ML, or a related field.

JD: Data Scientist Responsibilities: Leverage strong ML model experience in complex data environments to achieve business objectives in innovative and efficient ways. Utilize a solid background in mathematics and statistics to inform model development and evaluation. Design, architect, and develop robust machine learning solutions, with a focus on integrating Large Language Models (LLMs) where applicable. Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement. Document business processes, workflows, and requirements clearly and comprehensively. Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs. Participate in collaborative conceptualization sessions to brainstorm and refine project ideas. Mandatory Skills: Proficiency in Python, Machine Learning, REST API, and SQL. Experience with data processing, cleansing, and verification to ensure data integrity for analysis. Conduct data quality checks and exploratory analyses to inform model development. Demonstrated programming skills in relevant languages, particularly Python and API development. Build end-to-end machine learning models, including data structures and transformation processes. Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression). Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks). Knowledge of data mining concepts and experience with data visualization tools and dashboards. Preferred Skills: Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures. Understanding of natural language processing (NLP) techniques and their applications in business contexts. Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting. Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications. Design technical frameworks based on various use cases, particularly those involving text data and language understanding. Identify opportunities to automate analytical processes, data extraction, and flow processes, especially in the context of LLMs. Propose hypotheses and design experiments to address specific problems, leveraging LLM capabilities where relevant. Additional Responsibilities: Stay updated with the latest advancements in machine learning and natural language processing, particularly in the context of LLMs. Mentor junior team members on best practices in machine learning and LLM implementation. Contribute to the development of best practices and standards for machine learning and LLM projects within the organization. Why Join Us We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Business Insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Greetings !! We are looking for a skilled Splunk Administrator with hands-on experience in deploying and managing Splunk Enterprise and Splunk Cloud. The ideal candidate should have experience in Splunk Enterprise Security (ES), Splunk UBA, and IT Service Intelligence (ITSI). This role requires strong technical skills, along with the ability to communicate effectively with customers. Roles & Responsibilities: ✅ Splunk Deployment & Administration: Install, configure, and manage Splunk Enterprise and Splunk Cloud. Handle indexers, search heads, forwarders, and clustering. Optimize Splunk performance, storage, and scalability. ✅ Security & Splunk Monitoring Solutions: Implement and manage Splunk Enterprise Security (ES), Splunk UBA, and ITSI. Configure correlation searches, threat intelligence feeds, risk-based alerting (RBA), and dashboards. Troubleshoot security-related issues within Splunk. ✅ Customer Interaction & Troubleshooting: Engage with customers to understand their requirements and provide technical guidance. Troubleshoot and resolve Splunk-related issues, logs ingestion, parsing, and data onboarding. ✅ Splunk Architecture & Implementation: Design, deploy, and optimize Splunk Enterprise and Splunk Cloud environments. Lead end-to-end Splunk implementations, migrations, and upgrades. Manage search head clustering, indexer clustering, and data retention policies. ✅ Security & Observability Solutions: Architect and configure Splunk Enterprise Security (ES), Splunk UBA, and ITSI. Implement risk-based alerting (RBA), custom correlation searches, and advanced analytics. Integrate Splunk with SOAR, cloud platforms (AWS, Azure, GCP), and third-party security tools. ✅ Team Leadership & Customer Engagement: Lead and mentor a team of Splunk Administrators & Engineers. Interact with customers to gather requirements, design solutions, and conduct workshops etc. Review and improve Splunk use cases, dashboards, and data models. ✅ Optimization & Automation: Develop custom scripts (Python, Bash, PowerShell) for automation and orchestration. Tune Splunk performance, search queries, and indexing strategies. Implement best practices for data onboarding, parsing, and CIM compliance. Interested can share their updated resume to gayathri.ramaraj@locuz.com along with the below mentioned details. Current CTC: Expected CTC: Notice Period:

Job Summary: We are seeking an experienced Database Lead with a strong background in MS SQL Server (L4 Architect level) and working knowledge of Oracle (L3) . Experience in PostgreSQL will be considered a plus. This role demands excellent communication skills and proven experience in leading and mentoring database teams. You will be responsible for architecting, optimizing, and managing critical database systems that support enterprise-level applications. Key Responsibilities: Lead the design, implementation, and maintenance of scalable and high-performing database solutions primarily using MS SQL Server . Provide architectural guidance on database design, performance tuning, and capacity planning. Act as the subject matter expert (SME) for MS SQL Server at an architect level. Support and maintain Oracle databases at L3 support level. Provide direction and recommendations on PostgreSQL if/when required. Mentor and manage a team of 4+ database administrators, fostering collaboration and growth. Establish best practices for database development, deployment, and maintenance. Collaborate with cross-functional teams including development, infrastructure, and application support. Ensure data integrity, security, and availability across all managed database platforms. Participate in on-call support rotation and manage incident resolution in a timely manner. Required Skills & Qualifications: 12+ years of overall experience in database administration and architecture. MS SQL Server (L4 / Architect Level) : Extensive hands-on experience in architecture, clustering, replication, performance tuning, and high availability. Oracle (L3 Support Level) : Solid experience in installation, backup & recovery, and performance optimization. Exposure to PostgreSQL environments is a strong plus. Strong understanding of database security, backup, and disaster recovery solutions. Experience leading and mentoring teams for 4+ years . Excellent verbal and written communication skills. Ability to work in a fast-paced, collaborative environment

Job Title: MSSQL DBA with AWS/Azure Expertise Job Description: We are seeking a skilled MSSQL Database Administrator (DBA) with expertise in Amazon Web Services (AWS)/Azure to join our team. The ideal candidate will be responsible for managing, maintaining, and optimizing our MSSQL databases hosted on AWS/Azure, ensuring high availability, performance, and security. Key Responsibilities: Database Management: Install, configure, and maintain MSSQL Server databases in AWS/Azure environments. Monitor database performance and implement tuning and optimization strategies. Backup and Recovery: Develop and implement backup and recovery strategies to ensure data integrity and availability. Perform regular database backups and restore operations as needed. Performance Tuning: Analyze and optimize SQL queries and database structures for improved performance. Identify and resolve performance bottlenecks. AWS/Azure Integration: Utilize AWS services such as RDS, EC2, and S3 for database hosting and management. Implement and manage database replication and clustering in AWS. Troubleshooting: Diagnose and resolve database-related issues and incidents in a timely manner. Collaborate with development teams to troubleshoot application-related database issues. PoC Development: Lead the design and implementation of proof of concept projects to validate new ideas and technologies on AWS/Azure. Collaborate with stakeholders to define project objectives, scope, and success criteria for PoCs. Technical Expertise: Provide expert guidance on AWS/Azure services, architecture, and best practices to ensure optimal solutions. Evaluate and recommend appropriate AWS/Azure services and tools based on project requirements. Documentation and Reporting: Document PoC findings, including architecture diagrams, implementation details, and performance metrics. Present results and recommendations to stakeholders, highlighting potential benefits and challenges. Mentorship: Mentor and train team members on AWS/Azure best practices and PoC methodologies. Foster a culture of innovation and experimentation within the team. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Proven experience as an MSSQL DBA, with a strong understanding of database design and management. Proven experience with AWS/Azure services, particularly RDS, DRS, S3, DevOps, and EC2. AWS/Azure Certified Database – Specialty or similar certification. Strong problem-solving skills and the ability to work under pressure.

About the Company 6thStreet.com is an omnichannel fashion & lifestyle destination that offers 1400+ fashion & beauty brands in the UAE, KSA, Kuwait, Oman, Bahrain & Qatar. Customers can shop the latest on-trend outfits, shoes, bags, beauty essentials and accessories from international brands such as Tommy Hilfiger, Calvin Klein, Hugo, Marks & Spencers, Dune London, Charles & Keith, Aldo, Crocs, Birkenstock, Skechers, Levi’s, Nike, Adidas, Loreal and Inglot amongst many more. 6thStreet.com recently opened GCC’s first phygital store at Dubai Hills Mall; an innovative tech-led space which combines the best of both online & offline shopping with online browsing & smart fitting rooms. Overview The ML Engineer will extract insights and build models that will drive key business decisions. The candidate will work closely with other data scientists, software engineers and product managers to design, build, optimize and deploy machine learning systems and solutions. This role is ideal for someone with a strong analytical mindset, a passion for data, and a desire to grow in a fast-paced e-commerce environment. Necessary Skills Python: Proficiency in python, with knowledge of popular libraries like pandas, numpy, scipy, scikit-learn, tensorflow, pytorch SQL: Strong ability to write and optimize complex SQL queries to extract and manipulate large datasets from relational databases Data Analysis & Visualization: Ability to work with large datasets and extract meaningful insights and able to leverage data visualization tools and libraries Data Wrangling & Preprocessing: Expertise in cleaning and transforming raw data into structured formats Statistical Analysis: A solid understanding of descriptive and inferential statistics, including hypothesis testing and probability theory Machine Learning & Deep Learning: Familiarity with supervised and unsupervised learning algorithms such as regression, tree based methods, clustering, boosting and bagging methodologies Machine learning workflows: feature engineering, model training, model optimization , validation and evaluation ML Deployment: Deploying machine learning models to production environments, ensuring they meet the scalability, reliability, and performance requirements DevOps: Git, CI/CD pipelines, dockerization, model versioning (mlflow), monitoring platforms Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud or Azure for deploying models Problem-Solving & Analytical Thinking: Ability to approach complex problems methodically and implement robust solutions Collaboration & Communication: Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders. Adaptability & Learning: Willingness to quickly learn new tools, technologies, and algorithms Attention to Detail: Ability to carefully test and validate models, ensuring they work as intended in production Good to have: Familiarity with big data technologies such as Spark or Hadoop Object-oriented programming (OOP) Knowledge of data privacy and security practices when working with sensitive data Experience working with big data tools (e.g., Apache Kafka, Apache Flink) for streaming data processing Familiarity with feature stores like Feast Experience working with e-commerce data Responsibilities Design and implement machine learning models, algorithms, and systems Build and maintain end-to-end machine learning pipelines- model training, validation, and deployment Experiment with different algorithms and approaches to optimize model performance Collaborate with software engineers, product managers, analysts to build scalable, production-ready solutions Communicate complex technical concepts to non-technical stakeholders Stay updated with the latest advancements in machine learning and deep learning. Evaluate and experiment with new tools, libraries, and algorithms that could improve model performance Collaborate on proof-of-concept (POC) projects to validate new approaches and techniques Benefits Full-time role Competitive salary Company employee discounts across all brands Medical & health insurance Collaborative work environment Good vibes work culture Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in quantitative analytics or data modeling and development Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL)

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

Role Overview: We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: Analyze structured and unstructured data to identify trends, patterns, and opportunities. Propose and validate AI/ML use cases based on business data and stakeholder needs. Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. Ensure data quality, model interpretability, and ethical AI practices. Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 3–4 years of hands-on experience in data science and machine learning. Proficient in Python and ML libraries Experience with data wrangling, feature engineering, and model evaluation. Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). Strong communication and storytelling skills with a data-driven mindset.

Kenvue is currently recruiting for a: Engineer - Databases What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Oracle Database Administrator Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do Job Summary: We are seeking a highly experienced and detail-oriented SQL Server Database Administrator (DBA) with 10+ years of hands-on experience in managing and supporting large-scale SQL Server environments. The ideal candidate will have deep expertise in performance tuning, high availability, disaster recovery, database security, and automation. Key Responsibilities: Design, install, configure, and maintain SQL Server databases (2008R2 to latest versions). Implement and maintain database security, backups, replication, clustering, and AlwaysOn Availability Groups. Perform database performance tuning and optimization (indexes, stored procedures, queries). Troubleshoot database-related issues including connectivity, corruption, blocking, and deadlocks. Manage database deployments, migrations, patching, and upgrades. Implement disaster recovery strategies and ensure high availability. Automate routine tasks using PowerShell, T-SQL, and SQL Agent jobs. Monitor database systems using tools like SQL Server Profiler, Extended Events, and third-party monitoring tools. Collaborate with application developers and infrastructure teams to design and optimize data models. Maintain documentation for database systems, processes, and policies. Participate in 24x7 on-call rotation as needed. Required Skills and Qualifications: 10+ years of hands-on SQL Server DBA experience. Expert in SQL Server 2012/2014/2016/2019/2022. Strong experience with AlwaysOn, Log Shipping, Mirroring, and Clustering. Deep understanding of database architecture and internals. Advanced skills in T-SQL scripting, performance tuning, and query optimization. Experience with SSIS, SSRS, and SQL Server Agent. Strong problem-solving, analytical, and communication skills. Familiarity with cloud databases (Azure SQL, AWS RDS) is a plus. Experience with compliance standards (e.g., HIPAA, GDPR, SOX) is desirable. Microsoft certifications (e.g., MCSE: Data Management and Analytics) are a plus. Highly knowledgeable on AZURE and AWS Preferred Qualifications: Experience with hybrid cloud/on-premises environments. Exposure to NoSQL, PostgreSQL, or MySQL is a bonus. Background in DevOps or CI/CD for database deployments. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations. You will be responsible for Advanced JBoss Architecture and Internals, including Installation and Configuration, Migration of Jboss EAP to WildFly, JDK or Open JDK upgrade to use with Jboss and WildFly, Application Deployment and Management (Jenkins, CD/CI), Clustering and High Availability, Performance Tuning and Optimization, Advanced Troubleshooting Techniques, Backup, Recovery, and Patch Management, Scripting and Automation, Disaster Recovery and Failover Strategies, and JBoss Upgrades, Migrations, and Patch Management. Key skills required for this role include Jboss EAP, WildFly, JAVA/Open JDK, Apache, and Linux. In addition to technical responsibilities, you will also be involved in Team Management, including resourcing, talent management, performance management, employee satisfaction and engagement. Your performance will be measured based on Operations of the tower (SLA adherence, Knowledge management, CSAT/Customer Experience, Identification of risk issues and mitigation plans), and New projects (Timely delivery, Avoid unauthorized changes, No formal escalations). Mandatory Skills for this role include Jboss Admin. Experience required for this position is 5-8 Years. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.,

As a digital marketing intern at Ideastack Solutions Private Limited, you will have the opportunity to work on exciting projects that will enhance your skills and knowledge in the field. Selected Intern's Day-to-day Responsibilities Include Creating and implementing social media marketing strategies to increase brand awareness and engagement. Optimizing website content for search engines to improve organic traffic and visibility. Developing and executing Instagram marketing campaigns to reach the target audience and drive conversions. Managing and monitoring search engine marketing campaigns to increase website traffic and generate leads. Creating and managing Facebook marketing campaigns to promote products and services to a wider audience. Assisting in the development and execution of overall digital marketing strategies to meet company goals. Designing and implementing email marketing campaigns to nurture leads and retain customers. If you are passionate about digital marketing and eager to learn and grow in a fast-paced environment, this is the perfect opportunity for you to kickstart your career. Join us at Ideastack Solutions Private Limited and be part of a dynamic team that values creativity and innovation. About Company: IdeaStack Solutions specializes exclusively and intensively in web hosting. Our experience and know-how in this industry tallies up to 7 years, each year making us grow into the company we are today, hosting numerous websites with the help of talented IT geeks. We have developed our fault-tolerant, white labelled system of clustering servers called optimized hosting. All sites hosted with us on our fault-tolerant cluster award you spectacular performance and zero downtime. In optimized hosting, each site is hosted on a server, which will give you maximum performance for your site. How is this done, you ask? Well, when you sign up with us, your account is created on a random server. Ensuring you are uploading to your site, we incessantly audit it for usage statistics. Say, if your site is forum-based and requires a super performance of the MySQL server, it will be deployed to a server with the lowest MySQL load among the cluster.

As an MS-SQL DBA L2, you will be responsible for providing 24*7 database support including incidents, requests, and changes. This includes offering on-call support during weekends and out of business hours, as well as ensuring 24x7 support for critical production systems. Your role will involve a strong understanding of Production Database Operations and the importance of Business-As-Usual (BAU) operations. Additionally, you should have good knowledge of the ITIL Framework and possess effective communication skills both in written and verbal forms. You will be expected to have experience in Incident Management, handling crisis calls by engaging with vendors and clients, and demonstrating strong analysis skills, problem-solving abilities, and decision-making skills. It is important that you are willing to take responsibility and ownership of problems, as well as continuously upskill yourself on new concepts, features, and open-source technologies while acting as a mentor to others. In this role, you will be required to work in a rapidly changing environment, plan and execute PSU Patching and Upgradation of SQL Server, and have experience in automating PSU Patching and other routine tasks. Your responsibilities will also include account management, performance monitoring, optimizing queries, managing security parameters, handling backups, and troubleshooting SQL Agent Jobs and Maintenance Plans. To be successful in this position, you must have good team working skills, the ability to work in shifts on a 24x7 rotation basis, and a positive attitude. Strong knowledge of Production Database Operations, ITIL Framework, and experience in Incident Management are essential. Additionally, proficiency in presentation skills, project management, and troubleshooting data corruption are highly valued. Ideally, you should have 5-8 years of experience in a similar role, hold an engineering or computer science degree, and possess relevant RDBMS certifications. Experience in handling a large environment with a minimum of 500+ SQL instances and TBs of database size is considered advantageous. Join us at Socit Gnrale, where we believe in the power of individuals to drive change and shape the future. If you are looking for a stimulating environment where you can grow, innovate, and make a positive impact, then we welcome you to be part of our team. Our commitment to diversity, inclusion, and ESG principles ensures that you will have the opportunity to contribute meaningfully to our activities and policies while growing both personally and professionally.,

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As an AI Developer at KritiLabs, you will play a crucial role in various aspects of data analysis and model development. Your responsibilities will include assisting in data analysis, supporting the design and implementation of machine learning models, conducting experiments to evaluate model performance, documenting processes and results, collaborating with cross-functional teams, and engaging in ongoing learning opportunities to enhance your understanding of AI/ML concepts and technologies. To excel in this role, you should have a background in Computer Science, Data Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python or R, along with experience in data manipulation libraries like Pandas and NumPy, is essential. A basic understanding of machine learning concepts and algorithms, including regression, classification, and clustering, is required. Strong analytical skills, problem-solving abilities, attention to detail, and the capacity to work with large datasets are key attributes for success in this position. Effective communication skills, both verbal and written, are crucial for articulating complex concepts clearly. Being a team player is vital to collaborate effectively in a fast-paced and collaborative environment. Any prior experience with AI/ML projects or relevant coursework will be advantageous. Additionally, familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn will be beneficial. KritiLabs offers a dynamic, innovative, and inclusive work environment that values and celebrates individual contributions. We provide opportunities for growth, competitive benefits including health insurance and retirement plans, and a strong emphasis on maintaining a healthy work-life balance through flexible work arrangements. Join us in Chennai, where you can drive positive change and make a difference while working on cutting-edge projects that challenge conventional thinking and push the boundaries of innovation. English proficiency is mandatory, and knowledge of other languages is an added advantage.,

As a Specialist, Technical Business Analysis at Fiserv, you will be consulting with project teams and functional units to design important projects or services. You will provide support for existing business systems applications, demonstrating proficiency and leadership skills. Your role will involve efficiently balancing and prioritizing project work, utilizing data to offer insights and actionable recommendations that inform decision-making and strategy development. In this position, your expertise in data analysis, machine learning, and statistical modeling will be crucial. You will uncover insights and develop predictive models to enhance fraud rules. Collaborating with cross-functional teams, you will analyze large volumes of transactional data, identify patterns of fraudulent behavior, and enhance monitoring systems continuously. Effective communication is key, as you will interface with clients, vendors, and business partners periodically. To excel in this role, you will need a Bachelor's degree in Computer Science or Engineering, or relevant work experience. A background in IT development is required, along with a minimum of 5 years of experience in fraud analysis, investigations, or a related field - preferably in financial services or e-commerce. Proficiency in programming languages like Python or R for data analysis and model development, as well as familiarity with SQL for querying and managing relational databases, is essential. Sound knowledge of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification, is also necessary. Strong analytical skills are a must, enabling you to derive insights from complex datasets. Your ability to effectively communicate technical findings to non-technical stakeholders, work collaboratively in a fast-paced team environment, and present recommendations clearly is critical. Additionally, being self-motivated, proactive, and capable of working both independently and collaboratively is essential for success in this role. It would be advantageous to have knowledge and experience with JIRA, Service Point, and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy) would also be beneficial. Thank you for considering employment with Fiserv. To apply, use your legal name and complete the step-by-step profile, attaching your resume. Fiserv is committed to Diversity and Inclusion, and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, and ensure that communications from Fiserv representatives come from legitimate email addresses.,

The role of a member in the New Analytics Team based in Hyderabad involves understanding business processes and data to model requirements for creating analytics solutions. You will be responsible for building predictive models and recommendation engines using cutting-edge machine learning techniques to enhance the efficiency and effectiveness of business processes. Your tasks will include churning and analyzing data to identify actionable insights and patterns for business use. Additionally, you will assist the Function Head in data preparation and modeling tasks as required. Collaboration with both business and IT teams is essential for understanding and collecting data. Your responsibilities will also include collecting, collating, cleaning, processing, and transforming large volumes of primarily tabular data comprising numerical, categorical, and some textual information. Applying data preparation techniques such as data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, and variable transformation will be a part of your routine tasks. You will be expected to apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, various clustering methods, SVM, Naive Bayes, decision trees, principal components, and association rule mining. Additionally, ensemble modeling algorithms like bagging (Random Forest), boosting (GBM, LGBM, XGBoost, CatBoost), time-series modeling, and other state-of-the-art algorithms will also be utilized as required. Your role will involve employing modeling concepts such as hyperparameter optimization, feature selection, stacking, blending, K-fold cross-validation, bias and variance, and combating overfitting. Building predictive models using state-of-the-art machine learning techniques for regression, classification, clustering, recommendation engines, etc., will be a key part of your responsibilities. Furthermore, you will analyze business data to uncover hidden patterns and insights, identify explanatory causes, and make strategic recommendations based on your findings. To excel in this role, you should hold a BE/B. Tech degree in any stream and possess strong expertise in Python libraries like Pandas and Scikit Learn. Proficiency in coding according to the outlined requirements is essential. Experience with Python editors such as PyCharm and/or Jupyter Notebooks is a must, along with the ability to organize code into modules, functions, and/or objects. Knowledge of using ChatGPT for machine learning will be advantageous, while familiarity with basic SQL for querying and Excel for data analysis is necessary. Understanding basics of statistics, including distributions, hypothesis testing, and sampling techniques, is a prerequisite. Experience with Kaggle and familiarity with R are desirable. Ideal candidates will have a minimum of 4 years of experience solving business problems through data analytics, data science, and modeling, with at least 2 years of full-time experience as a data scientist. They should have worked on at least 3 projects involving ML model building that were utilized in production by businesses or other clients. Your primary responsibilities will include spending 35% of your time on data preparation for modeling, 35% on building ML/AI models for various business requirements, 20% on performing custom analytics to provide actionable insights to the business, and 10% on assisting the Function Head in data preparation and modeling tasks as needed. Candidates without familiarity with deep learning algorithms, image processing and classification, and text modeling using NLP techniques will not be considered for selection. For applying to this position, please email your application to careers@isb.edu.,