1436 Clustering Jobs - Page 6

We are looking for a Senior Data Scientist to join our team and apply your expertise in statistical data analysis, machine learning, and NLP to design and deliver transformative AI solutions. As a Senior Data Scientist, you will actively contribute to complex projects requiring full lifecycle involvement, from data preparation to model deployment, collaborating with cross-functional teams and creating production-ready outcomes. Responsibilities Develop AI solutions such as classification, clustering, anomaly detection, and NLP Apply advanced statistical methods and machine learning algorithms to address complex challenges Utilize Python and SQL for production-level code and thorough data analysis Build model workflows, including ML Ops and feature engineering techniques Leverage Azure AI Search and similar tools to provide stakeholders with insights and model accessibility Work closely with developers and project managers, using tools like GitLab for version control and Jira for project tracking Optimize data pipelines and improve model performance for practical applications Present technical concepts in an easy-to-understand manner to diverse audiences Stay informed about emerging technologies and incorporate them to solve real-world problems Follow Agile practices and demonstrate understanding of UNIX command line tools Requirements 4+ years of relevant experience in Data Science Proficiency in statistical data analysis, machine learning, and NLP for practical problem-solving Expertise in Python programming and SQL with demonstrated use of data analysis libraries Background in creating AI solutions such as classification, clustering, anomaly detection, or NLP Familiarity with ML Ops, feature engineering, and managing model development workflows Flexibility to apply tools like Azure AI Search for business-ready model deployment Competency in software development practices and tools like GitLab Knowledge of Agile methodologies and project tracking with tools like Jira Understanding of UNIX command line operations and creative problem-solving with innovative technologies B2 level of English or higher, especially in technical communication Nice to have Knowledge of Cloud Computing, Big Data tools, and containerization technologies Skills in data visualization tools to effectively convey insights Show more Show less

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Roles And Responsibilities The SQA Engineer would be an individual contributor partnering with other Engineering teams, Services and Field Engineers to help build and validate the Products and Solutions for high end customer deployments. The role would require participation from design, development to deployment and beyond. The Engineers would write test strategy, test plans and develop tools and scripts to cover the various functional, performance and scalability aspects of Platform and Software solution validation. Qualification And Experience B.E. / B.Tech . or equivalent in CS/ECE/TCE/EEE or MS in Computer science/application/engineering 8-12 years of relevant industry experience in Telecom/Data Networking (WLAN or Wi-Fi) and WLAN network security Skillset Required Excellent knowledge and work experience in most of the following areas: IEEE 802.1 (Bridging, VLAN, STP, MAC security) L2/L3 Features (TCP/IP, VRRP, IGMP, IPv4, IPv6, ICMP, ICMPv6, ARP, HSRP, PoE, LLDP, GRE, LT2TP, and IPSec) Experience with 802.11a/b/g/n/ac/ax wireless network standards. Experience with wireless security mechanisms (WPA/WPA2/WPA3), wireless design principles, RF technology, and wireless network control systems Ability to design, deploy, and troubleshoot large-scale wireless networks with proven experience in troubleshooting isolation and remediation Experience in WLAN Mesh network deployment and troubleshooting. Experience with wireless optimizations, including AP placement, achieving ideal signal levels, optimized roaming, spectrum selection, channel tuning, cell optimization, QoS, and more Solid understanding of LAN/WAN and network protocols and wireless monitoring tools for quick issue resolutions Experience designing controller clustering, failover methods and caveats, group management, AP modes of operation, patching, RF management, Network Management and Monitoring (SNMP, SFLOW, Netflow) DHCP, DNS, SSH, RADIUS, LDAP, IPSec, CA Network Security and Management features - Netlogin, AAA, IP sec, Firewalls, SSL, SNMP MIB Good exposure to performance testing and Tools and best practices (IXIA, Smart bits, Spirent, JMeter. Etc.) Experience troubleshooting client experience tests and wireless packet analyses, managing support cases with external technology vendors, and performing active and passive wireless site surveys Ability to understand and work with large, complex systems, and develop positive working relationships and strong rapport with team member Develop test scripts for Testing REST API or Services. ­­­­­­­Experience in programing and scripting languages (e.g. Java, Python, Shell, Perl). Well versed in VMware Vcenter and ESXi and Microsoft hyper-v. Experience with cloud environments such as AWS, Google Cloud or Azure is a plus. Exposure to Docker Containerization, Clustering solutions is a plus. Good understanding of Operating system concepts (Unix/Linux and Windows) and network applications and network operating system. Familiarity with Traffic Generators (Ixia/Spirent) and Network debugging tools (Wireshark, ping, traceroute etc.) Should have hands-on experience on Test planning, topology planning, requirement-to-testcase mapping, Test case writing, Defect logging and tracking, with excellent debugging skills. Good knowledge of testing methodologies, knowledge of different testing types and overall product life-cycle Good Analytical and Communication Skills Added Advantages ISTQB, Cloud Practitioner, Network+, CWNA and CCNA (Wireless) certification will have added advantage Extreme Networks, Inc. ( EXTR ) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. 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Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)ʼs Logistics Analytics team is responsible for transforming the company’s Supply Chain by embedding intelligence across key process areas in Inventory Planning, Transportation & Warehousing. Key tasks & accountabilities Collaborate with product owners from business functions to translate business problem into Data Science use case. Expected to explore and develop ML/AI algorithms to solve new business problem or improve the existing methodology, model accuracy etc. Work on building code that will deploy into production, using code design and style standards. Document your thought process and create artefacts on team repo/wiki that can be used to share with business and engineering for sign-off. Significantly improve the performance and reliability of our code that create high quality and reproducible results. Collaborate with other team members to advance teamʼs ability to ship high quality code, fast! Maintain basic developer hygiene that includes but not limited to, writing tests, using loggers, readme to name a few. 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or Masters in engineering (CS) B.Tech/BE/ Masters in data science, statistics, applied mathematics, mathematics, economics, etc Previous Work Experience Minimum 3- 6+ years of relevant experience in Analytics & Data science / building ML models Preferred industry exposure – CPG or Supply Chain domain & capability of successfully deploying analytics solutions and products for internal or external clients Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of object-oriented design concepts & able to write end-to-end ML or data pipelines in python) Proficient in application of one or more and has exposure to others - ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive. Ability to learn on the go Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers! Show more Show less

Primary Skills SQL DBA And Azure administration Secondary Skills Azure DBA Completion on AZ-104/AZ-500 Experience in networking component like virtual network, subnets, load balancer, traffic manager, network interface, NSGs, firewalls Familiar with Azure Advisories and Recommendations Experience with procuring and managing Azure servers, key vaults and with different azure storage services like blobs, containers, File shares Experience in Azure Alerts, monitoring mechanisms and Log Analytics

So, what’s the role all about? The purpose of this position is to deploy, operate and maintain NiCE’s global customer hosted databases, while also resolving customer issues that require direct access to the database infrastructure, and acting in an appropriate professional working style. The Engineer will report to the Manager, Infrastructure Cloud Operations while acting as part of the Database Team managing the databases in On-Prem data centers and AWS Cloud. How will you make an impact? AWS console administration New deployment tasks for databases & RDS services AWS RDS DB health check & availability checks using tools like CloudWatch and performance Insight. Read & analyse log/error log for Databases Alerts configuration, monitoring alerts and fine-tuning thresholds Perform RDS instance actions and comparison with Terraform code Export/import (Oracle) or backup/restore (SQL Server) specific data Installing/deploying databases, configuring backups, maintenance jobs and other features as needed to support database capacity, performance or product functionality requirements. Performing database administration tasks, including at latest versions of databases. Performing data restores, patchset / service pack installation and deinstallation, edition upgrade and downgrade, troubleshoot locking, corruption issues as well as suggest and implement solutions with minimal downtime Perform operational duties including database backups, application server health, service recycling. Identify and resolve operational issues (e.g. batch failures, network issues, client data feed errors) Experience in Monitor server performance, memory utilization, CPU, file systems, databases, batch jobs, backup and restore concept with best practise. Have a strong skills & experience in Microsoft SQLperformance tuning and queries optimization. Used SQL Profiler, Execution Plan, extended event, Performance Monitor and DBCC Commands. Extensive experience in SQL server high availability solutions- Log shipping, Mirroring, Replication, Clustering and always ON. Prepare, review, test, and execute T-SQL and PowerShell scripts to perform database administrative tasks as assigned. Investigate performance issues, provide and implement tuning solutions Act as part of a global team, creating and extending existing documentation as well as continuously sharing information and assisting on tasks with other team members. Working with monitoring tools Experience providing 24x7 support to production Software as a Service infrastructure, including participating in on-call rota and out of hours/weekend support when needed Have you got what it takes? 12+ Yrs. of experience as DBA in managing multiple DB engines. Hands on experience in multiple versions of Oracle and or MS SQL database is mandatory. Knowledge or experience working in Oracle, Microsoft SQL, Aurora, MySQL, Postgres will be an added advantage. Understand how automated backups are performed by AWS, know how to check the historical backup timings and how to perform ad-hoc snapshot Understanding of ITIL – incidents, service requests, change management Willingness to learn about technologies related to database and backup infrastructure, such as storage, backup, operating system and automation tools, cloud solutions or other database technologies. Demonstrated ability to effectively establish and maintain cooperative working relationships within a global, diverse, multicultural environment. Bachelor or Master’s Degree on Computer science or Information technology streams. You will have an advantage if you also have Basic coding skills in Python, Terraform. NiCE to have knowledge on AWS Cloud, AWS RDS apart from DB technology. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7503 Reporting into: Technical Manager. Role Type: Individual Contributor

Skill required: Data Scientist - Data Science Designation: Specialist Qualifications: Any Graduation Years of Experience: 7 - 11 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited toLeading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domainsCPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

#Machine Learning #GenAI #LLM #Python #GCP (Google Cloud Platform) #text mining tools #Big Data #Optimization We are hiring for immediate joiners for Chennai location. This is a hybrid mode job. Job Title: Data Scientist Experience : 4+ Years Location: Chennai (Hybrid) Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Skills Required: Machine Learning and GenAI and LLM Python with GCP (Google Cloud Platform) Experience Required: 4+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms. Show more Show less

Ready to make your mark at a fast-growing Silicon Valley startup? In the last 6 months, we've grown 10x, achieving the kind of traction most startups only dream of. Hot Silicon Valley startup is looking for a Content Marketing Specialist with strong storytelling, content writing, and marketing skills. We’re looking for an experienced Senior Content Editor who is also a prolific Content Writer with solid SEO knowledge to lead and elevate our content strategy. This is a cross-functional role involving hands-on content creation, editorial review, and SEO-led content planning. You’ll be responsible for ensuring that our content not only tells compelling stories but also performs well in search rankings. You must be a prolific content writer and storyteller. The ability to create compelling and engaging content is a MUST. You should share your portfolio of content (blogs, articles, videos, infographics, white papers, websites). MarketEngine.ai is transforming marketing for startups and small businesses with our cutting-edge Marketing-as-a-Service, powered by Generative AI and decades of industry expertise. Over 10,000 SMBs and startups already benefiting from our innovation platform, and now we are powering them up with MarketEngine. The ideal candidate is someone who thrives at the intersection of storytelling, content performance, and editorial leadership. MUST Haves: Ability to be a player & leader at the same time - write prolific content and also review/edit content by others Ability to review and edit content produced by in-house or freelance writers for clarity, flow, grammar, SEO, and alignment with brand and messaging Ability to conduct keyword research, SERP analysis, and topic clustering to inform editorial calendars Ability to understand and empathize with our customers, their problems and formulate differentiated messaging, stories and content Develop content briefs, outlines, and structures based on SEO keyword research and buyer journey Deliver high impact content pieces including blogs, articles, videos, infographics, product sheets, website copy, customer case studies, sales collateral, PowerPoint decks, etc Ability to understand and execute the overall marketing strategy and support all the campaigns with great content NICE to Haves: Track and monitor the performance of marketing activities and meet the business objectives Lead engagement efforts with prospects on multiple marketing channels to generate marketing qualified leads Qualifications: 6–8 years of experience in content writing and editing, preferably in B2B tech, SaaS, or digital-first businesses Prolific writer, a great storyteller who can create engaging and crisp content - must Proven experience as an editor and/or content lead who can guide the team seamlessly Proven SEO knowledge and experience using tools like Ahrefs, SEMrush, SurferSEO, Clearscope, or similar Experience managing freelance writers or junior content creators Exceptional written and verbal communication skills - must Preferred - degree in Journalism/Communication from a reputed university Experience in a marketing role at a B2B/B2C/SaaS company - nice to have Experience working in a high growth environment Why Join MarketEngine.ai? · Join a Thriving Silicon Valley Startup: Experiencing rapid growth—10x in the last 6 months and counting! · Learn from the Best: Work closely with our founder, a marketing experts, and fast-track your career to an Account Executive role. · Attractive Compensation: Enjoy a competitive salary package that rewards your hard work and contributions. · Make an Impact: Play a key role in shaping the future of SMB marketing and leave a lasting legacy. · Dynamic, High-Energy Culture: Thrive in an intellectually stimulating environment where your ideas are valued. About MarketEngine.ai MarketEngine.ai is a Marketing-as-a-Service platform powered by Generative AI, transforming demand generation for startups and SMBs. Our all-in-one solution streamlines marketing functions, enabling SMBs to generate marketing-qualified leads 10x faster and at 75% lower cost than traditional agencies. Founded by Silicon Valley leaders with expertise in marketing, software, and AI/ML, we’re on a mission to help startups and SMBs not just survive, but thrive. Send your resume , portfolio or writing samples , and a brief note about why you’re a fit for this role to sarbani@startupwind.com . Show more Show less

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services Good to have skills : Microsoft SQL Server Analysis Services (SSAS)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support clients or projects. You will oversee the end-to-end development process or focus on specific stages of the product lifecycle in Mumbai. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Ensure project timelines are met- Conduct regular team meetings to discuss progress and challenges Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services- Good To Have Skills: Experience with Microsoft SQL Server Analysis Services (SSAS)- Strong understanding of database management and optimization- Experience in ETL processes and data warehousing- Knowledge of data modeling and database design Additional Information:- The candidate should have a minimum of 12 years of experience in Microsoft SQL Server Integration Services (SSIS)- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, addressing any challenges that arise, and providing guidance to team members to foster a productive work environment. You will also engage in strategic discussions to align project goals with organizational objectives, ensuring that the applications developed meet the highest standards of quality and functionality. Your role will be pivotal in driving innovation and efficiency within the team, while also mentoring junior professionals to enhance their skills and contributions to the project. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database design and management principles.- Experience with performance tuning and optimization of SQL queries.- Familiarity with backup and recovery strategies for SQL Server.- Ability to implement security measures to protect sensitive data. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level E Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide. Capitalising on India’s strong reputation as a global talent hub for IT / ITES, EQ India has structured the organisation to be a part of this growth story. Today, EQ India has evolved as an indispensable part of EQ Group providing critical fintech services to the US and UK. Role summary: The Senior Technical Architect is part of a team responsible for technical leadership, governance, and infrastructure designs for EQ projects. The role ensures that technical systems and infrastructure are designed to support business requirements, technical and security standards, and technology strategy. Applicants should have detailed knowledge of IT Infrastructure, covering public cloud platforms (AWS preferred) and on premises data centre solutions. Prior experience as a Technical Architect is essential, along with strong skills in engaging stakeholders, collaborating across a range of technical and business disciplines to agree solutions, and presenting technical proposals and designs to review boards. Core Duties/Responsibilities: Maintaining engagement with the wider Equiniti environment by creating and communicating standards, governance processes, approved architecture models, systems and technologies deployed and corporate and IT strategies. Work across a range of EQ projects including data centre to AWS migration, platform upgrades, and new product implementations. Act as a key resource in the project lifecycle, driving initiation, reviewing requirements, completing the infrastructure design, and providing technical oversight for implementation teams. Support project initiation by providing cost and complexity assessments, engaging with stakeholders, and helping to define the scope of activities. Review requirements and undertake discovery activities to propose technical solutions that meet business needs while meeting technical standards for quality, supportability, and cost. Produce high quality technical designs and support the creation of build documentation providing effective technical solutions to EQ business requirements. Participate in architecture design reviews and other technical governance forums across the organisation representing the infrastructure architecture team across multiple projects. Contribute to knowledge management by adding to and supporting the maintenance of infrastructure architecture artifact repositories. Contribute to the definition and maintenance of architectural, security and technical standards, reflecting evolving technology and emerging best practice. Promote improvements to processes and standards within architecture teams, and the wider technology function. Skills, Knowledge & Experience: Skilled communicator, comfortable engaging a range of stakeholders, and capable of understanding business requirements and translating them into technical solutions. Experience creating high quality multi-tiered infrastructure designs for new and existing application services in accordance with defined standards. Experienced at providing cost estimates for on-premises and public cloud solutions. Experience across a range of data centre technologies such as server, storage, networks, virtualisation solutions. Experience of designing infrastructure solutions for public cloud platforms (AWS/Azure). Experience of working with complex network topologies and familiarity with a range of network technologies across on-premises and cloud environments. A track record of successfully achieving project deadlines, budgets, and meeting quality standards. Technical certification and knowledge of architecture and delivery frameworks a distinct advantage (AWS / Azure Solution Architect, CCNA, M365, TOGAF, Prince2, Agile). Technical Ability: In depth experience of proposing and designing technical solutions in across a wide range of technologies in an Enterprise environment. Core Microsoft technologies such as: Active Directory, Exchange, Hyper-V, M365, SharePoint, SQL, Windows Server. Public cloud platforms such as Amazon Web Services and Microsoft Azure. Deployment, configuration management and monitoring systems such as Terraform, Puppet, and New Relic. High availability and load balancing including Microsoft clustering and hardware load balancers. Physical infrastructure such as data centres, server hardware, hypervisors, SAN storage solutions, and network infrastructure. Infrastructure security platforms, tooling, and vulnerability assessment. Secure File Transfer Platforms such as Progress MoveIT. Familiarity with designing solutions to support a range of commercially available and bespoke applications. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. Show more Show less

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education! Show more Show less

📍 Remote | Open to students & freshers | Certificate + Hands-on Project Experience About Evoastra Ventures: At Evoastra, we are redefining how data powers decision-making. As a fast-growing startup in the AI, ML, and Predictive Analytics space, we’re offering a chance to work on real-world data problems and live projects that directly impact businesses. If you're passionate about making sense of messy data and want to build a career in data science, this internship is your launchpad. 🧾 Internship Overview Role: Data Science Intern Duration: 1 Month (Remote) Start Date: Rolling admissions (New batches every 2 weeks) Location: Remote (With optional in-office training in Hyderabad) Stipend: Unpaid (Top performers may be considered for paid extensions or job offers) Certificate: Yes (On successful completion) Project Involvement: Yes (You’ll work on live or simulated industry projects) 🧑‍💻 Responsibilities You will work under the mentorship of senior data scientists and be expected to: Data Exploration & Cleaning: Understand how to clean raw datasets and perform EDA (Exploratory Data Analysis). Identify missing data, outliers, and trends. Data Visualization: Build visualizations using tools like Matplotlib, Seaborn, Power BI or Tableau. Model Building (Basic): Apply regression, classification or clustering algorithms on sample data. Understand the importance of training/testing split, accuracy metrics, and overfitting. Report Generation: Summarize findings in simple language with charts and recommendations. Team Collaboration: Attend weekly reviews, submit weekly progress reports, and work in teams via Slack/Discord/Notion. Capstone Project (Last 2 Weeks): End-to-end implementation of a project with mentor feedback and final presentation. 🧩 What You’ll Learn Real industry workflows for data preprocessing, model building, and deployment basics. Business use-cases such as sales forecasting, customer segmentation, anomaly detection. Hands-on exposure to tools like: Python, Pandas, Scikit-learn, Seaborn Google Colab / Jupyter Notebooks Power BI / Tableau (Optional) Git & GitHub basics ✅ Eligibility Criteria Currently pursuing/completed: B.Tech/B.Sc/BCA/MCA/M.Sc/MBA/Data Science/Analytics or related fields. Strong interest in data science or machine learning. Basic knowledge of Python or any programming language is preferred. Willingness to learn quickly and work on live projects. 📌 Why Join Evoastra? Learn directly from data scientists and analysts working on live consulting and analytics projects. Become part of a data-driven startup ecosystem. Strong letter of recommendation and performance-based referrals. Project certificate with GitHub-linked contributions and LinkedIn endorsements. 📬 How to Apply Send your CV and a short message about your interest to: 📧 hr@evoastra.com or apply via our form here: Subject Line: Application for 2-Month Data Science Internship Show more Show less

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity: Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity: As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process. Objectives: Collaborate with different business users, mainly Supply Chain/Manufacturing to understand the current state and identify opportunities to transform the business into a data-driven organization. Translate processes, and requirements into analytics solutions and metrics with effective data strategy, data quality, and data accessibility for decision making. Operationalize decision support solutions and drive use adoption as well as gathering feedback and metrics on Voice of Customer in order to improve analytics services. Understand the analytics drivers and data to be modeled as well as apply the appropriate quantitative techniques to provide business with actionable insights and ensure analytics model and data are access to the end users to evaluate “what-if” scenarios and decision making. Evaluate the data, analytical models, and experiments periodically to validate hypothesis ensuring it continues to provide business value as requirements and objectives evolve. Accountabilities: Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights. Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices. Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs. Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries. Works with DevOps and database teams to ensure proper design of system databases and appropriate integration with other enterprise applications. Collaborates with Enterprise Data and Analytics Team to design data model and visualization solutions that synthesize complex data for data mining and discovery. Assists in defining requirements and facilitates workshops and prototyping sessions. Develops and applies technologies such as machine-learning, deep-learning algorithm to enable advanced analytics product functionality. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS : Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field. 3+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus. Hands-on development of AI solutions that comply with industry standards and government regulations. Great numerical and analytical skills, as well as basic knowledge of Python Analytics packages (Pandas, scikit-learn, statsmodels). Ability to build and maintain scalable and reliable data pipelines that collect, transform, manipulate, and load data from internal and external sources. Ability to use statistical tools to conduct data analysis and identify data quality issues throughout the data pipeline. Experience with BI and Visualization tools (f. e. Qlik, Power BI), ETL, NoSQL and proven design skills a plus. Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams. Experience with working with agile teams. WHAT TAKEDA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Show more Show less

Job Summary This is a role for Senior ML engineer and data scientist who should have strong AIML knowledge including GenAI and agentic framework and is expected to lead a team of data scientist in technical implementation and coding , solution design , testing and deployment. Key Responsibilities Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch, Gen AI – LLM , AI Agentic framework Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Skills And Experience Masters with specialisation in Technology with certification in AI and ML 12- 15 years relevant of Hands-on Experience in developing and delivering AI solutions with strong foundational knowledge on AIML, Python programming language Experience in Gen AI , LLM is mandatory. It will be good to have and agentic framework knowledge. Qualifications Masters with specialisation in Technology with certification in AI and ML About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In This Role, Your Responsibilities May Include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements. Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Preferred Education Master's Degree Required Technical And Professional Expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships) Preferred Technical And Professional Experience Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls. Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude. Show more Show less

Job Description Circle K (Part of Alimentation Couche-Tard Inc., (ACT)) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has a footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team and the Lead Data Analyst will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for deploying analytics algorithms and tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data. Roles & Responsibilities Analytics (Data & Insights) Evaluate performance of categories and activities, using proven and advanced analytical methods Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis Oversee the design and measurement of experiments and pilots Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Operational Excellence Improve data quality by using and improving tools to automatically detect issues Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas Stakeholder Management Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compelling documentation or artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performance Be an advocate for a data-driven culture among the stakeholders Job Requirements Education Bachelor’s degree required , preferably in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar Relevant Experience Experience: 7+ years for Lead Data Analyst Relevant working experience in a quantitative/applied analytics role Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python Experience in leading projects and/or leading and mentoring small teams is a plus Excellent communication skills in English, both verbal and written Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.) Working understanding of Statistical modelling & Time Series Analysis using Analytical tools (Python, PySpark, R, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), database management systems Business intelligence & reporting (Power BI) Cloud computing services in Azure/AWS/GCP for analytics Show more Show less

Description As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Key job responsibilities As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Basic Qualifications 3+ years of data engineering experience 4+ years of SQL experience Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Tamil Nadu Job ID: A2988350 Show more Show less

Job Description Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale Qualifications Education : Bachelor’s in Engineering or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Show more Show less

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e.g., R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Title: Data Scientist Location: Chennai Experience: 4-8 Years Skills Required 4+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms. Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Responsibilities Job Responsibilities: Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions. Qualifications Qualifications: At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Show more Show less

Job Description Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Responsibilities Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources. Qualifications Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master’s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE,MS,MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc.,) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills Show more Show less

We are hiring a Laravel Developer! If you're passionate about backend development, know Laravel inside-out, and can handle liveprojects and deployments confidently - we want you in our team!Laravel Expertise:1. Minimum 1 year of strong hands-on experience in Laravel.2. Expertise in latest Laravel version and deep command over its ecosystem.3. Proven experience in deploying Laravel projects live on production servers.4. Version Control & DevOps:5. Proficiency with Git, GitHub, CI/CD pipelines.6. Sound knowledge of server-side configuration, Linux servers, and deployment tools.7. Hands-on experience integrating services like Firebase, Razorpay, OTP authentication, andChatGPT API.8. Database Mastery: Strong knowledge of MySQL, Database clustering, and experience workingwith AWS RDS / S3 Buckets.9. Code Management: Proper understanding of code versioning, branching, and rollback strategies.10. Communication & Product Understanding: Ability to clearly communicate with team membersand understand product requirements from both11. Full Deployment Lifecycle: Expertise in handling everything from project setup to deploymentincluding debugging, security, and performance optimization.Additional Qualities of a Laravel Developer:1. Writes clean, maintainable, and testable code.2. Takes ownership and responsibility of assigned tasks.3. Familiarity with RESTful APIs and third-party service integrations.4. Knows how to write and maintain Laravel Artisan Commands and Queues.5. Experience with job scheduling and real-time notification systems.6. Open to learning and implementing new technologies.7. Strong debugging and problem-solving skills.Interview Process: We follow a 4-Step Evaluation Process:1. HR Round – Understanding your background and motivation.2. Technical Panel Round – In-depth Laravel and backend knowledge check.3. Live POC (Proof of Concept) Test – You’ll be given a real-world task to build live code in a limitedtime.4. Final Round – Final discussion with senior management.Note:Apply only if you are truly ready and capable for this Laravel Developer role. We are looking for doers,not just talkers.Perks:1. 5 Days Working (10 AM – 7 PM)2. Salary: Negotiable (Depend on interview & performance)3. Learning-oriented environment4. Opportunity to work on high-impact projects Apply Now: hr@stockpathshala.com Contact WhatsApp: +91-7889241395 Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Fixed shift Morning shift Work Location: In person

The AI Engineer will design, develop, and implement AI models and systems, focusing on turning data into actionable insights through advanced machine learning (ML) and AI techniques. This role involves working with both structured and unstructured data, collaborating with cross-functional teams, and deploying AI solutions in real-world applications. Key responsibilities include hands-on development of generative AI applications and machine learning models such as classification, regression, clustering, and natural language processing (NLP) to generate actionable insights. The AI Engineer will collaborate with cross-functional teams to ensure that AI solutions align with business needs. Working in an agile development environment, the engineer will contribute directly to production-ready AI applications. Staying up-to-date with advancements in AI and integrating relevant innovations into ongoing projects will be essential. The role also involves continuously monitoring and optimizing AI models to improve accuracy, scalability, reliability, and maintainability. Documenting processes, models, and key learnings is expected, along with contributing to the development of internal AI capabilities. The engineer must also ensure that AI models adhere to ethical standards, privacy regulations, and fairness guidelines. Qualifications for this role include a bachelors degree in operations research, mathematics, computer science, or a related quantitative field. Candidates should have advanced expertise in Python and familiarity with database systems such as SQL, NoSQL, and Graph databases. Proficiency with generative AI tools, particularly AWS Bedrock, is required, as is a comprehensive understanding of agentic systems and workflows. The ideal candidate will have experience productionizing GenAI services and working with complex datasets. Advanced experience in developing APIs using Python (e.g., with FastAPI) and deploying them to production is expected. Familiarity with CI/CD pipelines, a strong foundation in software development, and a deep understanding of algorithms, optimization, and scaling are also required. Excellent communication and business analysis skills are critical to success in this role. While not mandatory, experience with cloud engineering, particularly using AWS cloud services, is considered a valuable asset. Show more Show less