1646 Clustering Jobs - Page 44

Job Title: Full Stack Developer Location: Rajkot, Gujarat Experience: 3+ Years Employment Type: Full-time At Parsh Technologies , we build experiences—not just websites. We’re looking for you —a Full Stack Developer who’s passionate about both frontend magic and backend power . If you love writing clean, scalable code and creating APIs that just work , this is your place. From stunning animations to high-performance servers, you’ll help bring big ideas to life. What You’ll Be Doing: Frontend Responsibilities : Build modern, interactive user interfaces using React.js , Next.js , and Three.js . Work closely with designers , product managers , and business analysts to understand requirements and bring ideas to life. Translate wireframes and UI designs into high-quality, reusable, and readable code. Develop 3D animations and visual effects using Three.js for engaging user experiences. Optimize applications for speed, performance, and responsiveness across all devices. Follow best practices around code readability , modularity , and browser compatibility . Develop components based on UI designs shared via Figma , ensuring pixel-perfect implementation. Experience with Redux or other state management libraries. Backend Responsibilities : Build scalable and efficient REST APIs using Node.js or Nest.js . Design and manage databases using MongoDB . Ensure backend code is clean , secure , and easy to maintain . Implement session management , authentication , and security best practices . Use clustering to build high-performance server-side applications with optimal resource usage. Implement backend modules using industry frameworks and open-source standards, following best practices. Use Postman to build, test, and document APIs for smooth collaboration across teams. Ensure clear and complete API documentation using tools like Swagger for easy integration and maintenance. Implement modern authentication and authorization systems using JWT, OAuth, etc. Quality & Documentation: Write and maintain TDDs (Test Driven Development documents) and technical flow diagrams . Create and update database documentation , track app changes, and help teammates understand system architecture. Participate in design/code reviews , and provide input and mentorship when needed. Ensure everything you build meets industry standards , is bug-free , and is ready for production. Develop and execute formal performance test plans to ensure high-quality software delivery. Team & Performance : Take part in scrum meetings and collaborate with cross-functional teams. Work in a fast-paced environment, managing deadlines and delivering high-quality results. Contribute ideas and suggest improvements during technical discussions. Help test, monitor, and improve system performance regularly. Share technical knowledge and provide support to other developers. We’d Click Instantly If You Have: 3+ years of experience in React.js , Next.js , Node.js , or Nest.js . Hands-on experience with Three.js and animation tools. Strong command of JavaScript , TypeScript , HTML , and CSS . Familiarity with Redux , Webpack , and modern frontend tooling. A habit of writing clean, reusable, and well-documented code . A solid understanding of web security , responsive design , and cross-browser compatibility . Comfortable translating Figma designs into responsive and interactive frontend components. Experience with MongoDB and REST API development. Experience using Postman for API testing and debugging. Strong grasp of data structures , algorithms , and performance tuning . The ability to own your work—end-to-end. A Bachelor’s degree in Computer Science, Information Technology, or a related field. You’ll Shine Even Brighter If You: Have experience with Web 3.0 or blockchain technologies. Have worked with Docker , AWS , or Kubernetes . Enjoy building real-time systems or microservices . Have experience writing test cases . What’s In It for You? Freedom to create and explore bold ideas A fun, collaborative team that celebrates creativity Exciting projects in tech, gaming, and Web3 Monthly team hangouts, activities, and creative sessions A culture that supports learning and growing every day Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹70,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Overtime pay Application Question(s): Will you be able to reliably commute or relocate to Rajkot, Gujarat for this job? Education: Secondary(10th Pass) (Preferred) Experience: Full-stack development: 3 years (Required) Work Location: In person

Job Summary: We are seeking an experienced Database Administrator to design, implement, and manage highly available database systems supporting real-time data processing for vehicle telemetry applications. The ideal candidate will ensure 24/7 database availability while handling millions of requests and maintaining optimal performance during peak loads. Key Responsibilities: Design and implement highly available database architectures capable of handling millions of transactions Manage and optimize multiple database instances across microservices infrastructure Ensure zero-downtime during maintenance, updates, and scaling operations Design and implement real-time data ingestion strategies for vehicle telemetry data Develop and maintain database backup and recovery procedures Monitor database performance and implement optimization strategies Design and manage data partitioning and sharding strategies Implement and manage database replication and failover mechanisms Establish and maintain database security protocols Perform capacity planning and resource optimization Required Skills: Expert knowledge of enterprise database systems (Oracle, PostgreSQL, MongoDB, etc.) Strong experience with time-series databases Proficiency in database clustering and high availability solutions Experience with database performance tuning and query optimization Knowledge of data replication and synchronization techniques Expertise in backup and disaster recovery strategies Understanding of database security best practices Experience with monitoring and alerting tools Knowledge of automated database management tools Proficiency in scripting languages (Python, Shell, etc.) Required Experience: 10+ years of hands-on experience as a Database Administrator Proven experience managing high-volume, real-time database systems Experience with geospatial data management Background in IoT or telemetry data management Experience with microservices architectures Track record of implementing high-availability solutions Show more Show less

Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Expert Systems Engineer - Fully Remote Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm can deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Overview The Veradigm Revenue Cycle Management Services (RCS) engineering team is looking for a highly motivated and experienced professional to help architect, implement infrastructure as code (IaC), and maintain our rapidly expanding infrastructure. You will be part of a talented team of engineers that demonstrate superb technical competency, delivering mission critical infrastructure and ensuring the highest levels of availability, performance, automation and security. Responsibilities Drive continuous improvement projects, implement best practices using infrastructure as code to automate resources and problem management solutions Help Improve tooling and process capabilities including: Increased automation Better functionality Better integration with other tools Increased business analytics Strong problem and development management skills Ability to measure, understand, and identify new success criteria in proactive services capabilities Work with IT, BU, and Clients during design and implementation to shape the technical feature set Ability to juggle multiple projects and tasks. Demonstrated knowledge of project management concepts and techniques required. Perform proactive preventative maintenance tasks on servers and network infrastructure Maintain focus on continuing education for evolving technology solutions Manage and monitor all installed systems and infrastructure Install, configure, test, and maintain operating systems, application software and system management tools by following best practices Proactively ensure the highest levels of systems and infrastructure availability Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes Maintain security, backup, and redundancy strategies Write and maintain IaC or custom scripts to improve system efficiency and reduce the human intervention time on any task Participate in the design of information and operational support systems Liaise with vendors and other IT personnel for problem resolution Collaborate with clients and sales team to determine the most appropriate technology solutions for customer needs Contribution Towards The Team Synergy Coach, and mentor junior team members and provide leadership to the team Document issues with resolutions and share with team members to improve team productivity Knowledge transfer with other team members to improve overall team education level Assume full responsibility for assigned tasks and keep stakeholders updated on project progress Actively participate in the project meetings and make valuable contributions Requirements Academic and professional qualifications Bachelor's degree in Computer Science, management information systems or related field or equivalent work experience. Post-graduation qualifications or technical certifications preferred Some combination of MCSE, MCSA, Azure 100, 300, or 400 level certifications Experience 10 years’ experience with monitoring and proactive management systems and environments Knowledge of Veradigm Applications is beneficial Expertise in Windows server infrastructure and .Net based Application Support (versions 2016 – 2022) Remote Desktop Services (GW, WA, CB, session hosts) IIS, worker process thread, Web config, Certificate binding Event Logs Server Performance metrics - CPU, Memory, Queue length, MSMQ, I/O, Page writes Perfmon COM+ Log Parser Active directory Windows Clustering Advanced Experience with Azure IaaS, PaaS, and IaC solutions including Log Analytics, Microsoft Defender for Cloud, Sentinel, Dev/Ops (git, pipelines), TERRAFORM, Azure Virtual Desktop, etc. Advanced Experience with VMWare versions 7.3 and higher Intermediate experience with Windows PowerShell Scripting Intermediate experience with SQL. E.g., SQL Jobs, SQL queries, Blocking, Always On Knowledge of ITSM tools such as ServiceNow/JIRA Knowledge of Continuous Integration / Continuous Delivery Knowledge of ITIL framework Knowledge/Experience on office applications, Word/Excel/PowerPoint/Access Solid networking knowledge (OSI network layers, TCP/IP) Experience with Storage Area Networks, including Pure and Nimble Travel Requires occasional travel for business Visa Sponsorship is not offered for this position. At Veradigm, our greatest strength comes from bringing together talented people with diverse perspectives to support the technology needs of 180,000 physicians, 1,500 hospitals and 10,000 post-acute organizations across the globe. Veradigm offers a comprehensive compensation and benefits package, including holidays, vacation, medical, dental, and vision insurance, company paid life insurance and retirement savings. Veradigm’ policy is to provide equal employment opportunity and affirmative action in all its employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for North American based positions with Veradigm must be legally authorized to work in the United States or Canada. Verification of employment eligibility will be required as a condition of hire. Veradigm is proud to be an equal opportunity workplace dedicated to pursing and hiring a diverse and inclusive workforce. From a "VEVRAA Federal Contractor" We request Priority Referral of Protected Veterans This is an official Veradigm Job posting. To avoid identity theft, please only consider applying to jobs posted on our official corporate site. Thank you for reviewing this Veradigm opportunity! Does this look like a great match for your skill set? If so, scroll on down and tell us more about yourself! Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce. Thank you for reviewing this opportunity! Does this look like a great match for your skill set? If so, please scroll down and tell us more about yourself! Show more Show less

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com What you’ll do Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams. This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation. Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time Assist with research of secondary information to validate data trends Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods About you 3+ years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree Expertise working with large data sets and proficiency in SQL, Excel Experience in Python Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Excellent verbal, written, and data visualization skills Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.) Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus Experience with Git and modern software development workflow is a plus Agile way of working and tools (Jira, Confluence, Miro) What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

About Us Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos. Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally. Besides its SaaS business, Circles operates three other distinct businesses: Circles.Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles’ SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac: Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year. Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers. About Jetpac Jetpac, from Circles, is the coolest tech startup you will find, dedicated to making Travel super convenient and 100% hassle free. We're a bunch of rebels, renegades, and sometimes misfits, working together to change the Travel Universe. We grew 10x last year, with customers in >150 countries and availability in 10 different languages and currencies. At Jetpac, we take ownership and we lead! We are ambitious and resourceful Jetpac cadets, who would stop at nothing to get to the desired end outcome! If you think you've got the guts, the smarts, and the hustle to join us, then keep reading! Job Overview We are looking for a data-driven SEO Specialist to own and scale Jetpac’s organic search performance globally. In this role, you will work cross-functionally to improve rankings, grow traffic, and expand our discoverability across high-intent keywords. You’ll be responsible for driving Jetpac’s visibility across web and app stores through robust content strategies, technical optimizations, and continuous experimentation. If you obsess over search intent, CTRs, and content velocity—this is the role for you. Key Responsibilities Strategy & Planning Develop and execute a comprehensive SEO strategy across key regions and product categories Own keyword research, topic clustering, and content planning aligned with Jetpac’s growth goals Build and manage an SEO content calendar in collaboration with content and product marketing teams Identify opportunities for international SEO and language-specific optimization On-Page & Content Optimization Optimize existing web pages, blog content, landing pages, and metadata for SEO performance Write and review SEO briefs for long-form content, ensuring alignment with brand and keyword goals Drive structured data/schema implementation for better SERP visibility Collaborate with the design and engineering teams on page structure, UX, and content hierarchy Technical SEO Conduct regular audits to identify crawl issues, site speed improvements, indexing errors, and broken links Ensure mobile-first indexing, core web vitals, and other Google ranking factors are consistently met Manage SEO tracking setup, including Search Console, GA4, and third-party tools Work with product and engineering teams to implement technical recommendations Performance Tracking & Reporting Define and monitor KPIs such as organic traffic, keyword rankings, click-through rates, bounce rates, and conversions Use tools like Google Search Console, GA4, Ahrefs and Semrush to track performance Deliver monthly performance reports and recommend optimizations based on insights Conduct competitor analysis to identify content gaps and ranking opportunities Cross-Functional Collaboration Work closely with product, performance marketing, content, and localization teams Align SEO strategy with ongoing campaigns, launches, and business priorities Collaborate with developers and designers to build SEO-friendly pages and templates Coordinate with PR and backlink-building partners to grow domain authority Requirements 4–7 years of hands-on SEO experience, preferably in a product-led or high-growth company Strong understanding of SEO fundamentals (on-page, off-page, technical) Experience using tools like Ahrefs, Semrush, Google Search Console, GA4 Solid understanding of HTML, site architecture, and mobile-first principles Proven success in growing organic traffic and improving keyword rankings Excellent communication skills and ability to work cross-functionally in fast-paced teams Bachelor’s degree in Marketing, Communications, Computer Science, or a related field Preferred Experience Prior experience in the travel, telco, fintech, or SaaS domain Experience with app store optimization (ASO) is a strong plus Familiarity with multi-language/multi-region SEO strategies Desired Skills Deep understanding of keyword research and content clustering Familiarity with content management systems (e.g., Webflow, WordPress, or custom CMS) Ability to analyze SEO data and tell a compelling growth story Strong project management and prioritization abilities Growth mindset with a passion for learning, testing, and iterating What We Offer Competitive salary and excellent performance-based incentives. Comprehensive benefits package, including health, dental, and vision coverage. Flexible work arrangements with remote or hybrid options. Opportunity to work with a dynamic and innovative global team. Career growth and professional development opportunities Show more Show less

MACHINE-LEARNING ENGINEER ABOUT US Datacultr is a global Digital Operating System for Risk Management and Debt Recovery, we drive Collection Efficiencies, Reduce Delinquencies and Non-Performing Loans (NPL’s). Datacultr is a Digital-Only provider of Consumer Engagement, Recovery and Collection Solutions, helping Consumer Lending, Retail, Telecom and Fintech Organizations to expand and grow their business in the under-penetrated New to Credit and Thin File Segments. We are helping millions of new to credit consumers, across emerging markets, access formal credit and begin theirjourney towards financialhealth. We have clients acrossIndia, South Asia, South East Asia, Africa and LATAM. Datacultr is headquartered in Dubai, with offices in Abu Dhabi, Singapore, Ho Chi Minh City, Nairobi, and Mexico City; and our Development Center is located out of Gurugram, India. ORGANIZATION’S GROWTH PLAN Datacultr’s vision is to enable convenient financing opportunities for consumers, entrepreneurs and small merchants, helping them combat the Socio-economic problems this segment faces due to restricted access to financing. We are on a missionto enable 35 million unbanked& under-served people,access financial services by the end of 2026. Position Overview We’re looking for an experienced Machine Learning Engineer to design, deploy, and scale production-grade ML systems. You’ll work on high-impact projects involving deep learning, NLP, and real-time data processing—owning everything from model development to deployment and monitoring while collaborating with cross-functional teams to deliver impactful, production-ready solutions. Core Responsibilities Representation & Embedding Layer Evaluate, fine-tune, and deploy multilingual embedding models (e.g., OpenAI text-embedding-3, Sentence-T5, Cohere, or in-house MiniLM) on AWS GPU or serverless endpoints. Implement device-level aggregation to produce stable vectors for downstream clustering. Cohort Discovery Services Build scalable clustering workflows in Spark/Flink or Python on Airflow. Serve cluster IDs & metadata via feature store / real-time API for consumption. MLOps & Observability Own CI/CD for model training & deployment. Instrument latency, drift, bias, and cost dashboards; automate rollback policies. Experimentation & Optimisation Run A/B and multivariate tests comparing embedding cohorts against legacy segmentation; analyse lift in repayment or engagement. Iterate on quantisation, distillation, and batching to hit strict cost-latency SLAs. Collaboration & Knowledge-sharing Work hand-in-hand with Product & Data Strategy to translate cohort insights into actionable product features. Key Requirements 5–8 years of hands-on ML engineering / NLP experience; at least 2 years deploying transformer-based models in production. Demonstrated ownership of pipelines processing ≥100 million events per month. Deep proficiency in Python, PyTorch/TensorFlow, Hugging Face ecosystem, and SQL on cloud warehouses. Familiar with vector databases and RAG architectures. Working knowledge of credit-risk or high-volume messaging platforms is a plus. Degree in CS, EE, Statistics, or related; Tech Stack You’ll Drive Model & Serving – PyTorch, Hugging Face, Triton, BentoML Data & Orchestration – Airflow, Spark/Flink, Kafka Vector & Storage – Qdrant/Weaviate, S3/GCS, Parquet/Iceberg Cloud & Infra – AWS (EKS, SageMaker) Monitoring – Prometheus, Loki, Grafana What We Offer Opportunity to shape the future of unsecured lending in emerging markets Competitive compensation package Professional development and growth opportunities Collaborative, innovation-focused work environment Comprehensive health and wellness benefits Location & Work Model Immediate joining possible Work From Office only Based in Gurugram, Sector 65 Kindly share your updated profile with us at careers@datacultr.com to guide you further with this opportunity. ----- END ----- Show more Show less

About Us Astra is a cybersecurity SaaS company that makes otherwise chaotic pentests a breeze with its one-of-a-kind AI-led offensive Pentest Platform. Astra's continuous vulnerability scanner emulates hacker behavior to scan applications for 13,000+ security tests. CTOs and CISOs love Astra because it helps them to achieve continuous security at scale, fix vulnerabilities in record time, and seamlessly transition from DevOps to DevSecOps with Astra's powerful CI/CD integrations. Astra is loved by 800+ companies across 70+ countries. In 2024 Astra uncovered 2.5 million+ vulnerabilities for its customers, saving customers $110M+ in potential losses due to security vulnerabilities. We've been awarded by the President of France Mr. François Hollande at the La French Tech program and Prime Minister of India Shri Narendra Modi at the Global Conference on Cyber Security. Loom, MamaEarth, Muthoot Finance, Canara Robeco, Dream 11, OLX Autos etc. are a few of Astra’s customers Role Overview: If penguins and pandas make you think of Google and not wildlife then this role is for you. We at Astra are obsessed with SEO, analytics and inbound marketing. If these keep you up at night then you've finally found a place you can call paradise (read work, we have an amazing culture too!). We're looking to hire a SEO Specialist to join the Rocketship. Your mission (Should you choose to accept it) Develop and execute SEO strategies to meet monthly/yearly MQL goals, with a focus on ranking, driving organic traffic and conversions.​ Review and analyze the website and web pages regularly for detailed SEO checks & content optimization. Lead and mentor other SEO folks on the team. Expertise in Complete On-Page Optimization, from Title CTR to suggesting content changes and coordinating with content team on the requirements. Link building: Managing outreach team and developing effective strategies for acquiring relevant backlinks and partnerships. Actively tracking rank of the keyword portfolio and creating detailed report. Keyword research and prioritizing the keywords based on the goals and search intent. Implementing SEO A/B Testing: Analyze, Optimize, Test, and Repeat. You would be a great fit, if you have: 2-3 years of experience in SEO, experience with MQLs as a KPI is preferred.​ A strong understanding of NLP, clustering, and EAT concepts, along with technical SEO knowledge, is a plus. Expertise with Ahrefs, SEMrush, Moz, GSC & other SEO tools. Experience in GA4 to generate comprehensive reports is a plus. Quickly grasp complex topics and initiate keyword research, mapping, and clustering. Analytical mind for traffic analysis & decision-making. Excellent written and verbal communication skills. Technical knowledge required to work in a cyber security organization. Ability to build rapport with the stakeholders. Experience with SaaS marketing. Benefits of being an Astra-naut: Embrace the cozy remote work lifestyle. Health Insurance cover for you and your spouse. Feel the startup adrenaline pumping through your veins. Revel in our open, growth-centric ambiance; it's like a digital playground. Dive deep into the captivating world of cybersecurity. And yes, get ready for some unforgettable workcations—think Chikmagalur & Jim Corbett, Wayanad. P.s: This is a remote position. So come along if you love ranking the numbers in ;) Show more Show less

Come join our collaborative and creative group of AI scientists and machine learning engineers as an Staff AI Scientist! You'll get to design and build AI systems that directly impact our customers via the Virtual Expert Platform (VEP). In this role, you'll be designing, building, and deploying machine learning models in AI-native apps, using everything from analytical algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously amazing work. The team is at the heart of connecting our customers with expert guidance across all our products - QuickBooks, TurboTax, Mailchimp, and Credit Karma. You will build solutions that are at the heart of multi-billion-dollar Services businesses (e.g., QuickBooks Live, TurboTax Live), enhance Customer Success through AI and human expertise. The solutions leveraging AI and GenAI will involve forecasting, capacity planning, optimization, variance analytics recommendation systems and decision systems. Responsibilities: Perform hands-on data analysis and modeling with huge data sets. Apply data mining, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders Works with business planners to propose innovative products and services that fully utilize the power of AI and associated service functionality Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation Introduces industry-leading or academic-based ideas, research, and insights required by Intuit leadership to solve complex questions or fuel new business opportunities Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community Qualifications: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field 5+ years of proven experience in building AI systems using data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. 2+ years as either as a lead in a AI /Data Science role or in a management position in AI Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code with strong coding proficiency in Python Strong communication skills and proven experience as an influencer at executive level Experienced in the use of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.) Demonstrable ability to quickly understand new concepts---all the way down to the theorems—and to come out with original solutions to mathematical issues Strongly Preferred: PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Proven experience with Machine Learning techniques, especially on large scale datasets Proven experience with Hadoop and related programming environments (Hive,Pig,etc) Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Lead research and development efforts in AI/ML technologies. - Implement and optimize machine learning models. - Conduct data analysis and interpretation for business insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 12 years of experience in Machine Learning. - This position is based at our Bhubaneswar office. - A 15 years full-time education is required. 15 years full time education Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will be developing applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Implement proper cloud or on-prem application pipelines with production-ready quality. - Apply GenAI models as part of the solution. - Utilize deep learning and neural networks in projects. - Create chatbots and work on image processing tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full-time education is required. 15 years full time education Show more Show less

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities Your Role and Responsibilities: As a Linux Administrator, he/she will assume a senior-level role in the administration, optimization, and support of Linux-based systems within the organization. This advanced-level position requires a comprehensive understanding of Linux principles, technologies, and best practices, as well as the ability to lead cross-functional teams in ensuring the stability, security, and performance of Linux environments. You will need to visit the domestic client's offices / data centres on a daily basis or on an as-needed basis as part of this role. Responsibilities Linux System Leadership: Lead the design, implementation, and maintenance of Linux-based systems, including server infrastructure, virtualization platforms, and container environments, ensuring scalability, reliability, and performance. System Optimization: Develop and implement strategies to optimize Linux systems, including kernel tuning, file system management, and performance monitoring, to maximize efficiency and resource utilization. Security Management: Implement and maintain security measures to protect Linux systems from security threats and vulnerabilities, ensuring compliance with security policies and regulatory requirements. High Availability and Disaster Recovery: Design and implement high availability and disaster recovery solutions for Linux environments, including clustering, replication, and backup strategies, to ensure business continuity and data protection. Automation and Scripting: Develop and maintain automation scripts and tools to streamline system administration tasks, improve efficiency, and enforce configuration management best practices. Troubleshooting and Issue Resolution Leadership: Serve as a subject matter expert in troubleshooting Linux-related issues, providing guidance and leadership to resolve complex problems and minimize downtime. Documentation and Training: Develop and maintain comprehensive documentation for Linux systems and processes, including configuration guides, standard operating procedures, and incident reports. Provide training and mentorship to junior Linux administrators as needed. Collaboration: Collaborate with cross-functional teams, including system administrators, network engineers, and application developers, to support Linux infrastructure requirements and initiatives. Participate in architectural discussions and provide recommendations for system improvements and enhancements. Ready to work on 24/7 shifts to support client requirement Preferred Education Bachelor's Degree Required Technical And Professional Expertise 5+ years of experience in Linux administration or related roles, with demonstrated leadership in administering and optimizing Linux-based systems. Expertise in Linux operating systems, including Red Hat Enterprise Linux (RHEL), CentOS, Ubuntu, and Debian, with proficiency in system installation, configuration, and troubleshooting. Strong understanding of networking, storage, and virtualization technologies in Linux environments. Experience with automation tools and scripting languages such as Shell, Python, or Perl. Knowledge of security best practices and tools for Linux systems, including firewalls, intrusion detection/prevention systems, and vulnerability scanning. Excellent analytical, problem-solving, and communication skills, with the ability to lead cross-functional teams and collaborate effectively with stakeholders at all levels. Willingness to work in nights shifts or support 24 x 7 Coverage as per the Business needs Preferred Technical And Professional Experience You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Show more Show less

Dear Candidate! Greetings from TCS !!! Role: SQL Database Administrator Location: Bangalore/Chennai/Pune/Delhi Experience Range: 7 to 10 Years Job Description: 1. Excellent knowledge of multiple database platforms such as MSSQL, Oracle, Sybase, Snowflake and MongoDB. 2. Excellent knowledge of configuring Linux and Windows operating systems for optimal database performance. 3. Excellent knowledge of logical and physical database design. 4. Excellent knowledge of database migrations and upgrades. 5. Excellent knowledge of clustering and high-availability. TCS has been a great pioneer in feeding the fire of Young Techies like you. We are a global leader in the technology arena and there's nothing that can stop us from growing together. Show more Show less

Responsibilities Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years’ experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience With Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Growth Opportunities Work on innovative data science projects for major brands Develop expertise in cutting-edge ML technologies Learn from experienced data science leaders Contribute to impactful analytical solutions Opportunity for career advancement We offer competitive compensation, comprehensive benefits, and the opportunity to work with leading brands while solving complex analytical challenges. Join our team to grow your career while making a significant impact through data-driven decision making. Show more Show less

Why The Age'X? At The Age’X, we blend the power of AI with human creativity to craft performance marketing strategies that don’t just drive numbers—they build meaning. We specialize in SEO and growth marketing for brands that care about purpose, not just profit. In an age of noise, we create marketing that connects, respects attention, and drives results that actually matter. Welcome to The Age’X – where strategy meets soul. What You’ll Be Doing • Write high-quality, keyword-optimized content for blogs, landing pages, category pages, and more • Use tools like ChatGPT, Jasper, or Surfer SEO to streamline and scale content output • Conduct in-depth topic research, competitive analysis, and keyword clustering • Ensure content is well-structured, plagiarism-free, and aligned with search intent • Collaborate with the SEO and strategy team to craft content calendars and funnels • Stay up-to-date with SEO best practices, algorithm changes, and AI innovations You’re a Great Fit If You: • Have 2–4 years of experience in SEO content writing • Are fluent in AI tools like ChatGPT, Jasper, Surfer, Frase, or Writesonic • Know how to marry human tone with AI-generated efficiency • Can turn complex briefs or keywords into engaging, value-driven content • Understand on-page SEO elements (H1s, meta descriptions, keyword placement, etc.) • Are process-driven but never compromise on creativity and originality Tools We Love (and Hope You Do Too): • Surfer SEO / NeuronWriter • ChatGPT / Jasper • Grammarly / Hemingway • Google Docs / Notion • Ahrefs / SEMrush / Google Search Console What You’ll Get: • A team that respects your craft and knows the value of great content • Steady flow of projects in diverse niches (D2C, SaaS, AI, Lifestyle, etc.) • A chance to work at the forefront of AI + SEO content innovation To Apply: Send us 2–3 samples of SEO content you’ve written (bonus if AI-assisted). Tell us which AI tools you use in your workflow, and drop a quick note about a topic you’d love to write about. Email: admin@theagex.com | Subject line: SEO Content Writer Application Let’s create content that ranks — and matters. Show more Show less

Overview Come join our collaborative and creative group of AI scientists and machine learning engineers as an Staff AI Scientist! You'll get to design and build AI systems that directly impact our customers via the Virtual Expert Platform (VEP). In this role, you'll be designing, building, and deploying machine learning models in AI-native apps, using everything from analytical algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously amazing work. The team is at the heart of connecting our customers with expert guidance across all our products - QuickBooks, TurboTax, Mailchimp, and Credit Karma. You will build solutions that are at the heart of multi-billion-dollar Services businesses (e.g., QuickBooks Live, TurboTax Live), enhance Customer Success through AI and human expertise. The solutions leveraging AI and GenAI will involve forecasting, capacity planning, optimization, variance analytics recommendation systems and decision systems. What you'll bring MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field 5+ years of proven experience in building AI systems using data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. 2+ years as either as a lead in a AI /Data Science role or in a management position in AI Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code with strong coding proficiency in Python Strong communication skills and proven experience as an influencer at executive level Experienced in the use of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.) Demonstrable ability to quickly understand new concepts---all the way down to the theorems—and to come out with original solutions to mathematical issues Strongly Preferred PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Proven experience with Machine Learning techniques, especially on large scale datasets Proven experience with Hadoop and related programming environments (Hive,Pig,etc) Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel How you will lead Perform hands-on data analysis and modeling with huge data sets. Apply data mining, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders Works with business planners to propose innovative products and services that fully utilize the power of AI and associated service functionality Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation Introduces industry-leading or academic-based ideas, research, and insights required by Intuit leadership to solve complex questions or fuel new business opportunities Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community Show more Show less

Who We Are & Why Join Us Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension—all tailored to the complexities of industrial environments. Cutting-Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment – Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact – Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: Avathon The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Data Scientist , you'll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. You Will Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence Conduct research and create models for commercial and industrial applications in: forecasting stochastic demand, economics based inventory optimization, manufacturing and network planning, transportation routing and resource scheduling, anomaly detection, prescriptive maintenance (e.g. based on IOT data), health and safety (e.g. based on computer vision and IOT data). Conduct research across artificial intelligence areas including reinforcement learning, foundation models, graph neural networks, causal modeling, transferability and continuous learning Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities Contribute to AI product development and key data science research areas, internally and externally Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals Evaluate and respond to RFPs related to artificial intelligence Conduct research and write patent applications and technical publications You’ll Have Experience with research-level innovation in Data Science and ML, preferably with an advanced degree. 5+ years of experience in one or more of forecasting, optimisation (inventory/ supply chain/ network/ transportation), procurement, prescriptive maintenance, fine-tuning language models, creating domain agents, computer vision. Experience with reinforcement learning including MARL, graph neural networks, economic and probabilistic modeling is a plus. Strong understanding of Data Science, including machine learning, statistics, probability, and modeling. Significant experience with Data Science programming languages, such as Python, R, Matlab Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras. Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection Significant experience managing large volumes of data (terabytes or more) Experience with leading project teams, specifically data science teams Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you. Show more Show less

Overview Intuit is seeking a Staff Data Scientist to join our Data sciences in Intuit India. The Artificial Intelligence develops game changing technologies and experiments that redefine and disrupt our current product offerings. You’ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax. You thrive on ambiguity and will enjoy the frequent pivoting that’s part of the exploration. Your team will be very small and team members frequently wear multiple hats. In this position you will have close collaboration with the Intuit’s engineering and design teams, as well as the product and data teams across various business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management. What you'll bring Technical pre requisites MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.). At least 8+ years of experience with data science for MS or at least 4+ for PhD. Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn. Efficient in SQL, Hive, or SparkSQL, etc. Application building using LLM’s Comfortable in Linux environment Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Preferred Additional Experience Apache Spark The Hadoop ecosystem Java HP Vertica TensorFlow, reinforcement learning Ensemble Methods, Deep Learning, and other topics in the Machine Learning community How you will lead Perform hands-on data analysis and modeling with huge data sets. Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products. Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL. Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders. Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Work with a cross functional team of data scientists and product managers to develop strategies for our products that serve billions of people and millions of businesses Mentor other data scientists in the team Show more Show less

Talent Scout Management Solutions/PIVOTAL is a professional services recruitment firm dedicated to helping clients recruit world-class leadership talent. We are currently recruiting "IBM Integration Bus" (IIB) Developer for our client, Neutrinos Technology. About Neutrinos: Neutrinos is an intelligent platform automation SaaS company enabling life insurers to accelerate digital transformation. Our low-code/no-code technology helps modernize underwriting, claims, and distribution processes while integrating seamlessly with core systems. Job Summary: Neutrinos is seeking a skilled Integration Developer with hands-on experience in IBM App Connect Enterprise (ACE) / IBM Integration Bus (IIB) and IBM MQ to design, develop, and support middleware solutions. This is a key role in enabling seamless communication between enterprise systems and services. Work Location: Remote Experience Required: 5+ yrs Work Timings: Cover the day shift in Australia Time Zone, starting approximately 0430 hours IST Key Responsibilities: High proficiency in Design, develop, and maintain integration solutions using IBM App Connect Bus. Collaborate with stakeholders, business analysts, and other team members to gather integration requirements. Develop message flows, message models, and maps for data transformation and routing. Create and manage reusable integration artifacts to ensure scalability and maintainability. Implement best practices in integration development, including error handling, message logging, and security. Troubleshoot and resolve integration issues to ensure smooth data flow and system interactions. Participate in the full integration development lifecycle, from design and development to deployment and support. Conduct code reviews to ensure integration quality and adherence to coding standards. Stay updated with the latest IBM ACE technologies & industry trends and apply them to projects when appropriate. Preferred Qualifications & Experience: Strong hands-on experience in IBM ACE v12 / IIB v10 or later. Solid understanding of IBM MQ concepts: queues, topics, channels, clustering, security. Strong Knowledge on Rest full services and Open API. Create swagger files and Rest full API. Knowledge on message flows and ACE 12 nodes. Building IIB/ACE12 message flows Develop Message Broker message flows, DFDL and message sets; configure SSL/adapters according to the requirements and deadlines and in line with established design principles and development standards. Excellent troubleshooting skills in resolving complex application, data and infrastructure issues In-depth knowledge and experience of standards/technologies that enable messaging, including XML, WSDL, SOAP, REST, JSON, HTTP and SSL Experience in implementing Message Broker solutions with WSDL, Web Services, XML, XSD, JSON Strong working experience message transformations and routing Experience in messaging tools like RhfUtil, Soap UI. Good knowledge on MQ clustering Experience in creating and reviewing functional requirements (Use Cases) Hands-on experience on implementing JAVA. Exposure to cloud integration (IBM Cloud Pak CP4I) Having Knowledge on Datapower is plus Having Knowledge on API Management is a plus Knowledge of DevOps tools (Git, Jenkins, CI/CD pipelines) is a plus. Show more Show less

About the role Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge You will be responsible for - Understands business needs and in depth understanding of Tesco processes- Builds on Tesco processes and knowledge by applying CI tools and techniques. - Responsible for completing tasks and transactions within agreed KPI's- Solves problems by analyzing solution alternatives-Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources- Building Statistical models and ML algorithms with practitioner level competency- Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs- Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement- Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues You will need - 2 - 4 years of experience in data science application in Retail or CPG Preferred- Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP- Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub- Business: Basic understanding of Retail domain- Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation Show more Show less

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. This is an opportunity to play a key role in Dolby's new R&D Center in Bangalore as a Research Lead in our Advanced Technology Group " ATG ", the research and technology arm of Dolby Labs. With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research. What you’ll do: As a Research Lead within Dolby ATG research, you will focus on three key areas of expertise: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies. With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation. You will create technologies for the next generation of Dolby’s offerings. Managing, nurturing, and grooming top research talent: You will lead and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment. Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere. Technology strategy and direction setting: You will define and lead research initiatives that leverage cross-media intelligence and analytics, invent multimodal machine learning algorithms, and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies. Jointly with Dolby’s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby’s cloud and licensing business. You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation. You will also work with Dolby’s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide. Education And Desired Experience Ph.D. plus 5-10 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science with a strong focus on AI. You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications – Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Multimodal architectures and algorithms. You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies. You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms. Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment. Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML, etc.). Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis. Experience with audio and video processing is a plus. Highly skilled in C/C++, Python, TensorFlow or PyTorch. Experience in managing, guiding and mentoring younger researchers. Team-oriented work ethic and interest to work in cross-continental teams. Excellent communication, collaboration, and presentation skills in English. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding Show more Show less

Role: Manager / Sr Manager Server Location: Gurugram Mode: Work from office Key Responsibilities The candidate will be responsible for Technology Services including Infrastructure and Operations Management. He should be technically proficient in server technology, Network, SAN management, databases, data center management, license management. This is a individual contributor role Strong Hands-On experience on the following technologies but not limited to Azure Active Directory , DHCP , DNS , Data center Office 365, SSO and SAML integration Virtualization & Hosting (VMware, Hypervisor) Zscaler & Netskope (Good to have ) On Prem to cloud migration MDM Tools (Good to have ) Required Skills & Experience 10+ years in IT Infrastructure At least 4 years of End user applications support experience in a professional services environment. Strong customer service focus and experience Project management /Implementation skills In depth knowledge of managing Hybrid Data center primarily Microsoft Infrastructure. Strong experience in managing O365, designing and deploying solutions on Microsoft Azure platform, Good knowledge of Azure IaaS (VMs, VNET, VPN Gateways and Express Route). Experience in Migration of various on prem Infrastructure and IT services on Cloud (IAAS, PAAS, SAAS), Cloud Identity management, Integration of new applications into the cloud. Ability to lead and develop technical talent (performance management, coaching, mentoring). Strong understanding of VMware, Hypervisor, Clustering and DR. Ability to evaluate and leverage technology, industry, and competitive knowledge to apply the most current and appropriate ideas in a forward-looking manner to support the business. Deliver results in a fast-paced, deadline-driven environment that requires ability to handle multiple priorities simultaneously. Proven knowledge of data storage and backup solutions. Proven knowledge of security and compliance and Audits. Proven knowledge of systems monitoring tools (both on prem and cloud) Experience with Networking, application development, configuration, and deployment is a plus It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. Show more Show less

Job Title: AI/ML Developer (5 Years Experience) Location : Remote Job Type : Full-time Experience:5 Year Job Summary: We are looking for an experienced AI/ML Developer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate should have strong knowledge of machine learning algorithms, data preprocessing, model evaluation, and experience with production-level ML pipelines. Key Responsibilities Model Development : Design, develop, train, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Data Engineering : Work with data scientists and engineers to preprocess, clean, and transform structured and unstructured datasets. ML Pipelines : Build and maintain scalable ML pipelines using tools such as MLflow, Kubeflow, Airflow, or SageMaker. Deployment : Deploy ML models into production using REST APIs, containers (Docker), or cloud services (AWS/GCP/Azure). Monitoring and Maintenance : Monitor model performance and implement retraining pipelines or drift detection techniques. Collaboration : Work cross-functionally with data scientists, software engineers, and product managers to integrate AI capabilities into applications. Research and Innovation : Stay current with the latest advancements in AI/ML and recommend new techniques or tools where applicable. Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 5 years of experience in AI/ML development. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Strong understanding of statistics, data structures, and ML/DL algorithms. Experience with cloud platforms (AWS/GCP/Azure) and deploying ML models in production. Experience with CI/CD tools and containerization (Docker, Kubernetes). Familiarity with SQL and NoSQL databases. Excellent problem-solving and communication skills. Preferred Qualifications Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK). Knowledge of MLOps best practices and tools. Experience with version control systems like Git. Familiarity with big data technologies (Spark, Hadoop). Contributions to open-source AI/ML projects or publications in relevant fields. Show more Show less

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Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Tech Lead - Microsoft Azure Job Date: May 3, 2025 Job Requisition Id: 60028 Location: Hyderabad, TG, IN Pune, IN Indore, IN Pune, MH, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Microsoft Azure Professionals in the following areas : Experience 8-10 Years Job Description Experience in Azure Fabric, Azure Data factory, Azure Databricks, Azure Synapse, Azure Storage Services, Azure SQL, ETL, Azure Cosmos DB, Event HUB, Azure Data Catalog, Azure Functions, Azure Purview Create Pipelines, datasets, dataflows, Integration runtimes and monitoring Pipelines and trigger runs Extract Transformation and Load Data from source system and processing the data in Azure Databricks Prepare DB Design Documents for the user story based on the client requirement Work with the development team to create database structure, queries and used triggers Extensive experience in Microsoft Cloud solutions, i.e., Designing, Developing, and Testing Technologies Create SQL scripts to perform complex queries Create Synapse pipelines to migrate data from Gen2 to Azure SQL Data Migration pipeline to Azure cloud (Azure SQL). Database migration from on-prem SQL server to Azure Dev Environment by using Azure DMS and Data Migration Assistant Lift and Shift of the Development Server to Production Server Data governance in Azure Data migration pipeline which can migrate on-prem SQL server data to azure cloud (Azure SQL and Cosmos DB) Experience in using azure data catalog Experience in Big Data Batch Processing Solutions; Interactive Processing Solutions; Real Time Processing Solutions Required Technical/ Functional Competencies Domain/ Industry Knowledge: Basic knowledge of customer's business processes- relevant technology platform or product. Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members. Requirement Gathering And Analysis: Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies. Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement. Product/ Technology Knowledge: Working knowledge of technology product/platform standards and specifications. Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation. Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities. Architecture Tools And Frameworks: Working knowledge of architecture Industry tools & frameworks. Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation. Architecture Concepts And Principles : Working knowledge of architectural elements, SDLC, methodologies. Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business. Analytics Solution Design: Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees. Able to identify the cause of errors and their potential solutions. Tools & Platform Knowledge: Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application. Required Behavioral Competencies Accountability: Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team. Collaboration: Shares information within team, participates in team activities, asks questions to understand other points of view. Agility: Demonstrates readiness for change, asking questions and determining how changes could impact own work. Customer Focus: Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations. Communication: Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision. Drives Results: Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets. Resolves Conflict: Displays sensitivity in interactions and strives to understand others’ views and concerns. Certifications Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved. Show more Show less

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Scientist with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and build forecasting models. You will work closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. This is a high-impact individual contributor role. What Youll Do Work in a dynamic and innovative company to develop cutting-edge solutions. Perform advanced data analytics to influence decision makers. Leverage data from diverse sources to provide insights and build new data driven tools. Partner with engineering teams to continuously improve our data quality. Develop machine learning based applications using supervised and unsupervised models using Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights. Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines. Work with stakeholders to intake complicated business problems and translate them into solvable data science projects. Partner with data engineering to take your model from development to deployed infrastructure. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists and data analysts. Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation. What Youll Need You have Data Science experience building and validating machine learning and forecasting models in Python for a minimum of 5 years. You love performing advanced analytics to find insights and patterns. You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling. You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis. You have experience working in an agile business setting. You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text. (ref:hirist.tech) Show more Show less

Job Summary Job Description 5-8 Years’ experience in implementing IT Operations Management, Discovery, Monitoring, and AIOps solutions Experience of implementing BMC Helix ITOM / ITSM for at least 1 customer Design, Engineering and development experience on AIOPS and analytics solutions Understanding of data integration, data modelling and big data tools Strong understanding on Machine Learning algorithms?for?various AIOPS use cases such as classification, clustering, and anomaly detections. Development experience on?ML/NLP algorithms?for?IT Operations use cases. Strong prior experience on development and or/implementation of ITOM, ITSM and APM tools like OpenText OpsBridge, IBM Netcool, Sciencelogic, ServiceNow, BMC Remedy, OTRS, CA APM, Appdynamics, Dynatrace, ServiceNow Orchestrator, BMC Atrium Orchestrator, OpenText Operations Orchestrator Strong experience and background of IT Operations Management processes, IT Service Management Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as-a-service, Software defined networks, servers, and storages Show more Show less