1436 Clustering Jobs - Page 7

Project Role : Service Management Practitioner Project Role Description : Support the delivery of programs, projects or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : Microsoft Power Apps Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Service Management Practitioner, you will support the delivery of programs, projects, or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. 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. - Coordinate the delivery of programs, projects, or managed services. - Develop and maintain relationships with key stakeholders and sponsors. - Ensure high levels of commitment from stakeholders. - Enable strategic agenda through effective coordination. - Provide regular updates and reports on project progress. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI). - Good To Have Skills: Experience with Microsoft Power Apps. - 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 Microsoft Power Business Intelligence (BI). - This position is based at our Chennai office. - A 15 years full-time education is required. 15 years full time education

Project Role : Technology Delivery Lead Project Role Description : Manages the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : Any Degree Summary: As a Technology Delivery Lead, you will manage the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. You will drive profitability and continued success by managing service quality and cost and leading delivery. Additionally, you will proactively support sales through innovative solutions and delivery excellence. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Manage the delivery of large, complex technology projects using appropriate frameworks. - Collaborate with sponsors to manage scope and risk. - Drive profitability and continued success by managing service quality and cost. - Lead delivery and ensure delivery excellence. - Proactively support sales through innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI S/4HANA Accounting. - 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 15 years of experience in SAP FI S/4HANA Accounting. - This position is based at our Hyderabad office. - A Any Degree is required. Any Degree

Snowflake - Senior Technical Lead Full-time Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development is good to have. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives. Qualifications BTech/MCA Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education: B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies!

Responsibilities Should be able to manage project (Build and Validate)models independently with minimal technical support . Should be able to implement new ideas for improving profitability. Identify relevant data sources to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate findings to senior stakeholders. Candidate Profile 6– 10 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, Mathematics, Engineering, Computer Science, Operations Research or Related areas is preferred; candidates with BT.ech/BS degrees from the top tier academic institutions are also welcome to apply. Experience in programming in Python, SQL and/or SAS. Excellent understanding of Model Development and Validation in Credit Risk domain. Understanding of statistical concepts like (t-tests, chi-square tests, hypothesis testing, regression analysis, etc). Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering, Random Forest, XGBoost, GBM, Neural Networks. Or hands-on with Strategy building and optimization in credit Risk. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills. Show more Show less

Job Description At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Manager – Strategic Forecasting” We are looking for a team member within Vaccines strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary Responsibilities Include, But Are Not Limited To Responsible for one/multiple therapy areas – demonstrating good pharmaceutical knowledge and project management capability Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders – our Manufacturing Division , Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification And Skills Engineering / Management / Pharma post-graduates with 4+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectively with stakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Marketing, Numerical Analysis, Stakeholder Relationship Management, Strategic Planning, Waterfall Model Preferred Skills Job Posting End Date 05/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R336662 Show more Show less

Experience: - 8- 15 years of overall experience in the field of IT Infrastructure is essential. - Must have at least 3 years’ experience in designing and implementing products or solutions of any one domain mentioned below: o Enterprise Servers & Storage (Cloud computing / Virtualization / Consolidation / Data center / Business Continuity / Backup / Enterprise Servers, Storage and Tape Technologies, Clustering / High availability etc) o Enterprise Networking and security (Routing and Switching protocols, network architecture, connectivity options, network management, remote access, data security, standards and compliance, identity management, log management etc ) o Datacenter ( Tier 3 / 3+ DC build including power & cooling) access control and building management system etc) Certifications: Any of the industry standard IT Infrastructure related certifications like RHCE/ MCSE / MCTS/ CCNA / CCIE / VCP /CISSP is essential. Also, PMP or ITIL certification will be an advantage Responsibilities will include: - Design of IT infrastructure solutions - develop technology strategies with logical and physical designs to meet client requirements, using standard architecture methodologies. - Handle multiple infrastructure technologies based on project requirements - Preparation of bill of material, technical write-ups for solutions developed - Documentation of architecture design to various levels of detail - Work at CxO level executives to capture client technical requirements /articulate the solution. Detailed briefing with presentations for larger client audience - Work as an individual contributor. - Ensure delivery of the infrastructure solutions designed as per scope & project timelines, through the right set of internal/external partners Role: Infrastructure Architect – T-Arch / STA (depending on the experience level of the candidate). Education: As per HR Policy Location: Noida Travel: Candidates should be ready for extensive domestic travel. Skills Required: Basic understanding of infrastructure architecture, industry standards and best practices methodology Highly motivated, ability to lead and influence Experience in infrastructure related role, Proven success in projects in large scale projects Strong technical design skills Ability to effectively communicate, coordinate and collaborate successful track record of effective vendor management Knowledge of emerging technologies and vendor landscape, Ability to balance cost against benefits Understanding of business drivers and all stakeholders’ requirements Understanding of documentation and frameworks Experience in capacity and performance management, understanding of application lifecycle management Hands on experience and expertise with specific infrastructure technologies relevant to organizational needs, including operating systems software, virtualization, automation (on multiple platforms) Creative thinking, innovative approach for solution design, implementation and problem solving. Set and manage stakeholder expectations. Recommend solutions as per RFP requirements or any change order coming from existing clients Manage vendor relationships from technical matters perspective. Mediate between infrastructure and delivery / development group. Establish and vet key vendors relationships. Assess emerging technologies from key OEMs Guide sales team on price vs performance issues. Show more Show less

At Tarana, you will help build a cutting-edge cloud product -- a management system for wireless networks, scaling to millions of devices -- using modern cloud-native architecture and open-source technologies. You will be responsible for designing and implementing distributed software in a microservices architecture. This could include everything from requirements gathering (working with Product Management and customers) to high-level design to implementation, integrations, operations, troubleshooting, performance tuning and scaling. You will provide technical and engineering leadership to an R&D team that owns multiple microservices, end-to-end. There will be PoCs, customer pilots, and production releases, all in an agile engineering environment. Expect to be challenged and stretch your skills on a daily basis. Expect to meet or beat exacting standards of quality and performance. We will provide the right mentoring to make sure that you can succeed. The job is based in Pune, and this job profile will require in-person presence in the office to interact with team members. Job Responsibilities: At least 15 years of experience in software development, including at least 5 years in large-scale distributed software Product architecture and design experience, including providing technical leadership to engineering teams Experience with building SaaS product offerings or IoT applications Experience with not just developing, but also operating and managing such systems would be a plus Required Skills & Experience: Bachelor’s degree (or higher) in Computer Science or a closely-related field, from a reputed university. Masters' / Ph.D. preferred Software design and development in Java and its associated ecosystem (e.g., Spring Boot, Hibernate, etc.) Microservices and RESTful APIs: design, implementation and consumption Strong understanding of distributed systems and associated concepts like clustering, asynchronous messaging, streaming, scalability & performance, data consistency, high availability. Experience with distributed messaging systems like Kafka/confluent or kinesis or google pub/sub Mastery of databases (relational, NoSQL, search engines), caching, and distributed persistence technologies. Experience on Elastic Search or any time series databases will be a plus Experience with cloud-native platforms like Kubernetes, and service-mesh technologies like Istio. Knowledge of network protocols (TCP/IP, HTTP) and standard network architectures, RPC mechanisms (e.g., gRPC) Secure coding practices, knowledge of network security, application security Since our founding in 2009, we’ve been on a mission to accelerate the pace of bringing fast and affordable internet access — and all the benefits it provides — to the 90% of the world’s households who can’t get it. Through a decade of R&D and more than $400M of investment, we’ve created an entirely unique next-generation fixed wireless access technology, powering our first commercial platform, Gigabit 1 (G1). It delivers a game-changing advance in broadband economics in both mainstream and underserved markets, using either licensed or unlicensed spectrum. G1 started production in mid 2021 and has now been installed by over 160 service providers globally. We’re headquartered in Milpitas, California, with additional research and development in Pune, India. G1 has been developed by an incredibly talented and pioneering core technical team. We are looking for more world-class problem solvers who can carry on our tradition of customer obsession and ground-breaking innovation. We’re well funded, growing incredibly quickly, maintaining a superb results-focused culture while we’re at it, and all grooving on the positive difference we are making for people all over the planet. If you want to help make a real difference in this world, apply now! Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of December 1, 2024, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world's capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. The D. E. Shaw group uses a combination of quantitative and qualitative tools to uncover self-governing, hard-to-find sources of return across global public and private markets. We are seeking an analyst to join our Compliance team at the firm’s office based in Hyderabad, or Bengaluru, or Gurugram, to work closely with a team of attorneys and compliance professionals to help ensure that the firm’s business activities are conducted in strict accordance with regulatory requirements. The Compliance group is an integral part of our global Financial Operations group and is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements. This position affords the opportunity for broad exposure to the firm’s trading, operations, and software development groups, as well as the chance to handle real-time issues related to the firm’s expanding suite of global investment products in a dynamic, constantly evolving regulatory environment. WHAT YOU'LL DO DAY-TO-DAY: The Compliance group is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements, where you will be assisting front office trading desks by conducting thorough research on the firm’s positions and applicable regulations for each asset class across jurisdictions through the deployment of advanced data analytics and data visualization techniques like statistical analysis, predictive modelling, clustering, etc. on tools like PowerBI and others. You will also perform regulatory filing obligations, requiring complex quantitative and qualitative analysis of the firm’s short position and long ownership reports across US, UK, EU, Japan, etc. jurisdictions, and assist in monitoring and implementing controls designed to ensure compliance with global regulations by deploying various data analytics and visualization techniques. Additionally, you will be conducting thorough analysis on the fundamental research data collected by the trading groups through their interactions with external industry experts/consultants around various market sectors to avoid potential trading while in possession of material non-public information. Furthermore, you will be assisting with long-term projects to maintain the firm’s high standards of compliance with new and existing regulations. WHO WE’RE LOOKING FOR: Basic qualifications: A master’s degree in Finance, Chartered Accountancy (CA) or equivalent, along with up to 2 years of work experience in the financial services industry Self-motivation, a results-oriented mindset, robust analytical and problem-solving skills, learning agility, attention to detail, the ability to work in a dynamic environment and the capacity to meet tight deadlines Excellent written and oral communication skills along with exceptional interpersonal skills Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/AnlyCompApr25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers. Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $65 billion in investment capital as of December 1, 2024, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world's capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. The D. E. Shaw group uses a combination of quantitative and qualitative tools to uncover self-governing, hard-to-find sources of return across global public and private markets. We are seeking an analyst to join our Compliance team at the firm’s office based in Hyderabad, or Bengaluru, or Gurugram, to work closely with a team of attorneys and compliance professionals to help ensure that the firm’s business activities are conducted in strict accordance with regulatory requirements. The Compliance group is an integral part of our global Financial Operations group and is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements. This position affords the opportunity for broad exposure to the firm’s trading, operations, and software development groups, as well as the chance to handle real-time issues related to the firm’s expanding suite of global investment products in a dynamic, constantly evolving regulatory environment. WHAT YOU'LL DO DAY-TO-DAY: The Compliance group is responsible for implementing and enforcing policies and procedures across multiple regulatory requirements, where you will be assisting front office trading desks by conducting thorough research on the firm’s positions and applicable regulations for each asset class across jurisdictions through the deployment of advanced data analytics and data visualization techniques like statistical analysis, predictive modelling, clustering, etc. on tools like PowerBI and others. You will also perform regulatory filing obligations, requiring complex quantitative and qualitative analysis of the firm’s short position and long ownership reports across US, UK, EU, Japan, etc. jurisdictions, and assist in monitoring and implementing controls designed to ensure compliance with global regulations by deploying various data analytics and visualization techniques. Additionally, you will be conducting thorough analysis on the fundamental research data collected by the trading groups through their interactions with external industry experts/consultants around various market sectors to avoid potential trading while in possession of material non-public information. Furthermore, you will be assisting with long-term projects to maintain the firm’s high standards of compliance with new and existing regulations. WHO WE’RE LOOKING FOR: Basic qualifications: A master’s degree in Finance, Chartered Accountancy (CA) or equivalent, along with up to 2 years of work experience in the financial services industry Self-motivation, a results-oriented mindset, robust analytical and problem-solving skills, learning agility, attention to detail, the ability to work in a dynamic environment and the capacity to meet tight deadlines Excellent written and oral communication skills along with exceptional interpersonal skills Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/AnlyCompApr25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers. Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Data Analyst Quality Customer Satisfaction Are you an experienced data analyst that has a passion and strong desire to utilize data to identify and drive decisions related to Quality of Volvo trucks? Who We Are If you want to be a part of an exciting Quality and Customer Satisfaction (Q&CS) team where you can drive and impact the quality of Volvo Trucks Brand, come join us! You will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition and resolution support within our team. This is done in parallel with other data and product quality leaders located across our sites Q&CS’s is part of Volvo Group Truck Technology Team. Our team’s mission is to ensure the product quality performance for the complete product line through investigating and prioritizing market product quality issues. Our data team secures the voice of the customer in the problem-solving processes through clear and concise data storytelling. This role supports achieving product quality goals and metrics that directly pertain to customer satisfaction. In this position you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate field quality issue solving process. This process includes conventional, electric and fuel cell powertrains in our Trucks and Coaches. Volvo is a global organization. This position involve collaboration with sites located in Sweden, France, Brazil and US locations. What You Will Be Doing You will be part of the Q&CS product quality Bangalore organization. Your creative thinking and problem-solving skills will contribute to identifying and solving complex quality challenges through the areas of data mining and optimization. You will be actively working with quality issue management and ways to increase Uptime for our customers. QCS Data Analyst Will Be Responsible For All steps of an analytics assignment ranging from fundamental to advanced statistical techniques, in the areas of data & business value exploration, data structuring, modelling, problem solving & recommendation within the Quality team. You will develop & implement methodologies to assist Product Quality Leaders in emerging issue detection, forecasting & predicting quality & uptime performance. Working with various data sources but not limited to warranty, logged vehicle, customer data, manufacturing data, high resolution truck data. You will be able to deliver all steps independently but also establish a network working closely with colleagues in Europe, India & Brazil on various initiatives. Collaborateclosely with other Data Analysts, Data engineers, Data Architects and Data Scientists during theimplementationand deployment of the advance analytics solution Who You Are You are person with a passion for data driven decisions to solve important technical issues related to quality. A team player with eagerness to try and develop through collaboration, co-operation, and sharing insights, solutions, and ideas. Position Requirements Minimum bachelor’s degree in engineering, Computer Science, Mathematics, Statistics, or equivalent required. Graduate Degree Preferred Experience with problem solving in a quality organization that is technical focused. Very skilled in PowerBI Demonstrated experience with relevant technical tools such as: SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. Knowledge of unsupervised and supervised machine learning techniques. (Algorithms for classification, regression, clustering, or anomaly detection including but not limited to: K-means, Random Forest, etc.) You have excellent communication skills in English To be the perfect match for this role, your critical competencies will include: Must have good energy, a positive attitude, and thrive in creative thinking. Real problem solver and confident to make data driven decisions. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques Self-starter with the ability to prioritize critical tasks, as well as deliver on assignments within deadlines. Preferred qualifications (or willingness to learn!) Exposure to software development practices, including version control, unit testing, and code review. Process oriented individual with a continuous improvement mindset to drive DA product Ready to join our team and shape tomorrow’s society together with us? We value your data privacy and therefore do not accept applications via mail. Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation. Show more Show less

Apply only if your current location is Ahmedabad. Job Title: SEO Content Writer – Simpolo Digital Team About the Role: Simpolo is seeking a sharp, SEO-driven content writer who understands both the science of search and the art of storytelling. If you have a flair for crafting compelling, keyword-rich content and want to help shape the voice of one of India’s leading surface brands, this role is for you. Key Responsibilities: Create high-quality, original, and SEO-optimized content including blogs, product pages, landing pages, and editorial web content Conduct keyword research, competitor analysis, and topical clustering using tools like SEMrush, Ahrefs, and Perplexity Collaborate with the SEO and digital marketing teams to develop and execute content strategies aligned with brand and business goals Maintain consistency in brand tone, visual storytelling, and language across all content formats Stay current with SEO trends, Google algorithm changes, and AI content optimization techniques Track performance of content via Google Analytics and Search Console , and optimize based on data Skills & Qualifications: 1 to 2 years of SEO writing experience , preferably in a brand, lifestyle, or B2B domain Strong grasp of on-page SEO, keyword intent, and content funnel strategy Excellent grammar, attention to detail, and ability to write for luxury/lifestyle audiences Familiarity with WordPress, CMS platforms, and basic HTML is a plus Self-motivated, curious, and comfortable working in a fast-paced, design-focused environment Show more Show less

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions Show more Show less

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models Show more Show less

Title : Backup Administrator ( Commvault) Position : Fulltime Location: Hyderabad ( Work from Office) Job Description: Backup Administrator with minimum 3 -5 Years of experience in supporting backup solutions like Commvault, NetBackup, Veeam etc. A Candidate who is passionate, hardworking and responsible for monitoring and manage the end to end backup infrastructure. He/ She should be able to work in a team environment, where responsibilities will include all aspects of delivering backup service and management. Job Responsibilities: Supporting and troubleshooting Backup & Recovery in a large, complex and distributed environments. Capable of working constructively in a highly pressurized environment. Willing to work after office hours to manage critical escalations when necessary 24x7 availability as required for Out of Hours (OOH) coverage. Perform daily monitoring and management of the backup solution implemented across the Infrastructure facilities as per pre-defined policies & procedures. Execute & troubleshoot escalated restore jobs, failed jobs, and initiate corrective action Handle issues related to Commvault, Veritas NetBackup Catalog databases, Storage Units, Policies, De-Duplication, Media Servers Work with the Vendor, internal IT teams (VMware, Linux, Windows, and Storage, Network etc.). Plan and implement best practices for backup solutions & Optimize backup environment Must be able to automate the tasks using Devops, scripts or other automation tools. Skills Required: Installation, configuration and troubleshooting of multiple backup applications on client/cloud servers. Implement and maintaining Backup Infrastructure for NetBackup, Commvault, Veeam etc. Experience in Catalog Recovery and Migration activities Experience in configuring De-duplication and troubleshooting issues related DDB & MSDP. Experience on Veritas Clustering Server (VCS) or Info Scale Good Knowledge and experience on integrating backup solutions with Cloud platforms like Azure/AWS/GCP/OCI etc. Deploying NetBackup Master & Media servers, Ops Center, and integrating with third party monitoring and reporting tools like Splunk, Bocada etc. Daily health checks on Backup infrastructure and Backup Failures identification and troubleshoot issues as needed. Knowledge on configuring and restoring DB level backups (SQL, Informix, Oracle, SAP HANA, Sybase, SAP Oracle, Exchange, DB2 Etc.) Very strong knowledge of Commvault & NetBackup, Backup Policies, Media Agents and clients. Logical components like storage policies, schedule policies and sub-client policies, SLPs etc. Knowledge of VMware, Windows and Linux operation systems, Networking, Security, D2D & Tape Library concepts including associated technologies in an Enterprise multi-site Backup environment Knowledgeable in data centre operations including handling tape library configuration and day to day operations Experience in working with vendors for major issues whenever it is required. Competent in configuring disaster recovery and fault tolerant features. Should have experience installing Feature Release/Maintenance Release on Master and Media servers and Clients. Proven ability to develop, implement, and communicate best practices for Backup in a large customer environment. Ability to understand and comply with business processes and procedures. Excellent oral and written communication skills. Good to have intermediate Certification in Commvault/ NetBackup Show more Show less

If you are interested in enabling smooth customer pre-approval/ pre-qualified/ live digital journeys while leveraging modular constructs and creating APIs to scale ML algorithms - this role will be the right fit for you. Responsibilities : You will be working on ensuring scaling of ML products and credit risk policy (incl. models) within pre-approved/ pre-qualified campaigns and live digital journeys. It will entail ensuring APIs operate smoothly at scale, identify ways to ensure simplified and low risk customer journey. We are looking for someone with entrepreneurial mindset, sound understanding of credit risk, with hands-on experience in algorithm design, cloud-based tools/ packages for automation and encryption and APIs. Qualifications : - Masters or Undergraduate in Computer Science/Electrical Engineering/ Mechanical Engineering with overall experience of 6-8 years with minimum of 3-4 years in MLOps or BRE implementation - End-to-end system design experience : Model/BRE implementation (batch process/ API/ cloud platform tools), debugging, and maintenance in production. - Experience in Python, Linux, cloud computing environment (AWS/ GCP), big data tools like warehouse, spark and pipelines management. - Knowledge of different Algorithms and Machine Learning techniques like regression, classification, clustering, CNN, tree-based algorithms, NLP etc. along with Hyper parameters tuning. - Strong communication and project management skills - Experience in Java would be a plus - Experience in credit risk would be a plus About the team : You will be part of ML Engineering Team within Digital Banking Unit of the bank. You will work in a fast-paced environment where new ideas are encouraged. This will involve liaising with teams within Digital and those across the bank e.g. data engineers, data scientists, product managers and senior business and credit risk stakeholders. The mandate of the Digital Business Unit at IndusInd Bank is as follows : - Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments - Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers - Build Embedded Finance (Banking as a Service) applications - Ensure designs are highly available, highly modular, highly scalable and highly secure - Drive digital business Some of the applications managed by the Digital Business Unit include IndusMobile (bank's mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline The unit's objectives are three fold : (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Role- Lead HR Analytics Location- Noida Budget-10LPA Responsibilities Required Skills Must have- Excel, reporting dashboarding proficient. Data Analysis & Interpretation Analyze workforce data to identify patterns and trends in hiring, engagement, turnover, DEI, and performance. Perform predictive and prescriptive analytics (e.g., turnover risk, future talent needs). Advanced Analytics & Modeling Build statistical models and dashboards for talent management, forecasting, or scenario planning. Use regression, clustering, and other data science techniques to answer HR business questions. Strategic Insight Generation Provide data-driven recommendations to HR leadership and business units. Link workforce metrics to business KPIs like productivity, revenue per employee, or customer satisfaction. Dashboarding & Visualization Design intuitive dashboards and visualizations (Power BI, Tableau, etc.) to present complex data clearly. Create self-service reporting tools for HR and leadership. Show more Show less

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 : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 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. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute to key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery - Collaborate with multiple teams to make key decisions - Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) - 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 5 years of experience in SAP Sales and Distribution (SD) - This position is based in Mumbai - A 15 years full-time education is required 15 years full time education Show more Show less

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv. Responsibilities Requisition ID R-10356381 Date posted 06/12/2025 End Date 06/27/2025 City Pune State/Region Maharashtra Country India Location Type Onsite Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Tech Lead, Data Architecture What does a successful Snowflakes Advisor do? We are seeking a highly skilled and experienced Snowflake Advisor to take ownership of our data warehousing strategy, implementation, maintenance and support. In this role, you will design, develop, and lead the adoption of Snowflake-based solutions to ensure scalable, efficient, and secure data systems that empower our business analytics and decision-making processes. As a Snowflake Advisor, you will collaborate with cross-functional teams, lead data initiatives, and act as the subject matter expert for Snowflake across the organization. What you will do: Define and implement best practices for data modelling, schema design, query optimization in Snowflakes Develop and manage ETL/ELT workflows to ingest, transform and load data into Snowflakes from various resources Integrate data from diverse systems like databases, API`s, flat files, cloud storage etc. into Snowflakes. Using tools like Streamsets, Informatica or dbt to streamline data transformation processes Monitor or tune Snowflake performance including warehouse sizing, query optimizing and storage management. Manage Snowflakes caching, clustering and partitioning to improve efficiency Analyze and resolve query performance bottlenecks Monitor and resolve data quality issues within the warehouse Collaboration with data analysts, data engineers and business users to understand reporting and analytic needs Work closely with DevOps team for Automation, deployment and monitoring Plan and execute strategies for scaling Snowflakes environments as data volume grows Monitor system health and proactively identify and resolve issues Implement automations for regular tasks Enable seamless integration of Snowflakes with BI Tools like Power BI and create Dashboards Support ad hoc query requests while maintaining system performance Creating and maintaining documentation related to data warehouse architecture, data flow, and processes Providing technical support, troubleshooting, and guidance to users accessing the data warehouse Optimize Snowflakes queries and manage Performance Keeping up to date with emerging trends and technologies in data warehousing and data management Good working knowledge of Linux operating system Working experience on GIT and other repository management solutions Good knowledge of monitoring tools like Dynatrace, Splunk Serve as a technical leader for Snowflakes based projects, ensuring alignment with business goals and timelines Provide mentorship and guidance to team members in Snowflakes implementation, performance tuning and data management Collaborate with stakeholders to define and prioritize data warehousing initiatives and roadmaps. Act as point of contact for Snowflakes related queries, issues and initiatives What you will need to have: Must have 8 to 10 years of experience in data management tools like Snowflakes, Streamsets, Informatica Should have experience on monitoring tools like Dynatrace, Splunk. Should have experience on Kubernetes cluster management CloudWatch for monitoring and logging and Linux OS experience Ability to track progress against assigned tasks, report status, and proactively identifies issues. Demonstrate the ability to present information effectively in communications with peers and project management team. Highly Organized and works well in a fast paced, fluid and dynamic environment. What would be great to have: Experience in EKS for managing Kubernetes cluster Containerization technologies such as Docker and Podman AWS CLI for command-line interactions CI/CD pipelines using Harness S3 for storage solutions and IAM for access management Banking and Financial Services experience Knowledge of software development Life cycle best practices Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Engagement Manager - Consulting Location: Bengaluru, Karnataka, India It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Brief About The Team & Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Brief About The Role An Engagement Manager has complete ownership and accountability for successful delivery of client projects and enabling growth for a particular client account. Own client outcomes across engagements, typically managing multiple projects in parallel and cross-sell new consulting work. An engagement Manager plays a pivotal role in leading and executing large global programs for various clients and bring thought leadership to build a roadmap/analytics strategy. Their roles and responsibilities include the following: Business Consulting and Client Relationship Management Business Development - Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Experience in solving business problems leveraging data and AI in Automobile, Manufacturing or Tech domain is a must Build, deepen and broaden client relationships at senior executive levels in conjunction with account managers of our clients. This will be measured through growth of the account. Build and maintain strong relationships with key stakeholders across various geographies, domains, and business units, effectively managing expectations and ensuring alignment with project goals. Lead and oversee large-scale analytics programs from inception to completion, ensuring alignment with client objectives and delivering impactful solutions. Work closely with cross-functional teams to design innovative and scalable analytics solutions that address client challenges and drive competitive advantage. Serve as the primary point of contact for clients, understanding their business needs, providing strategic guidance, and delivering insights that drive business impact. Construct roadmaps to enable clients’ strategic vision to be realized through the power of AI, Engineering & Design, by working closely with people across levels and communicating effectively Provide thought leadership in clients’ business planning sessions, lead proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation Stay abreast of industry trends, emerging technologies, and best practices in analytics and consulting, and contribute to thought leadership initiatives within the organization. Delivery Management Work with clients to understand key business challenges, formulate business problems and lead solution development and delivery on consulting engagements with a team project managers and consultants. Drive the execution of projects, ensuring adherence to timelines, budget, and quality standards while proactively identifying and mitigating risks. Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design & review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Successfully juggle the competing demands of multiple client projects simultaneously (including managing time and resources against changing priorities Build a highly engaged team and manage their careers, by inspiring colleagues, creating opportunities, building individuals’ capability and creating followership Provide leadership and guidance to project teams, fostering a collaborative and high-performance culture, and ensuring the development and growth of team members. Demonstrated technical acumen across a range of AI, and Data Engineering tools and platforms, including experience in helping clients operationalize advanced analytics solutions at enterprise scale Manage P&L of the account, meeting margins while ensuring revenue targets and client satisfaction measured through NPS Ensure timely and appropriate staffing for new engagements – plan hiring and staffing decisions The Person: Qualification & Experience 10+ years of experience in analytics delivery and business consulting with at least 4+ years of leadership experience Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of advanced analytics and machine learning AI techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Proven experience in managing stakeholders at various levels, including C-suite executives, across multiple geographies. Excellent leadership and communication skills, with the ability to inspire and influence cross-functional teams and drive consensus. Strong analytical and problem-solving skills, with the ability to translate complex data and insights into actionable recommendations. Demonstrated ability to thrive in a fast-paced, dynamic environment and effectively manage competing priorities. Willingness to travel occasionally for client engagements (when feasible). Good thought leadership & ability to structure & solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment EDUCATION: BE / BTech, Masters / MBA If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? 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Profile : Machine Engineer Experience : 2 To 6 Years Requirement Python, pandas, NumPy, MySQL Data Visualization, Matplotlib, Seaborn, Data Cleaning Deep Learning : ANN, CNN, DNN, Back Propagation, TensorFlow 2.x, Keras Web scraping : various library Natural Language processing : Understanding, representation, classification & clustering NLTK,BOW, TFIDF, word2vec Machine Learning : Supervised, Unsupervised (All Algorithm), etc Location : Noida Sector 63 (Work From Office) Working Days : 5 Job Description The Machine Learning Lead will oversee the full lifecycle of machine learning projects, from concept to production deployment. The role requires strong technical expertise and leadership to guide teams in delivering impactful AI-driven solutions. Key Responsibilities Design and implement scalable ML models for various business applications. Manage end-to-end ML pipelines, including data preprocessing, model training, and deployment. Fine-tune foundation models and create small language models for deployment on AWS Inferentia and Trainium. Deploy ML models into production environments using platforms such as AWS. Lead the implementation of custom model development, ML pipelines, fine-tuning, and performance monitoring. Collaborate with cross-functional teams to identify and prioritize AI/ML use cases. Required Skills Expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong experience deploying ML models on cloud platforms, especially AWS. In-depth knowledge of SageMaker and SageMaker Pipelines. Familiarity with RAG-based architectures, agentic AI solutions, Inferentia, and Trainium. Advanced programming skills in Python with experience in APIs and microservices. Exceptional problem-solving abilities and a passion for innovation. (ref:hirist.tech) Show more Show less

JOB_POSTING-3-71264-2 Job Description Role Title: AVP, Reliability Engineer, EIS(L10) COMPANY OVERVIEW: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Enterprise integration Services team plays pivotal role in connecting different Systems and applications within an organization. This team specializes in designing, implementing, and maintaining integration solutions that enhance business functionality. Synchrony Middleware is critical application for supplying data to different backend, front-end systems & Synchrony applications. Role Summary/Purpose The AVP, Reliability Engineer – Enterprise Integration Services plays a pivotal technical role within Synchrony Financial in successfully providing technical expertise to the EIS Applications & its components that includes Java Spring-Boot, OpenSSL, ITX, MQ. Additional responsibilities include leading the development and the production support of Synchrony’s EIS Services by creating and developing thoughtful solutions to anticipate bugs and maintain operational excellence Key Responsibilities Develop, maintain, and optimize highly reliable software solutions using Java for enterprise applications. Define and implement strategies to improve system reliability, availability, and performance across application infrastructure. Maintains close coordination with developers and Solution Architects to streamline and expedite deployment practices . Continuous seeking the opportunities to enhance product or services through process improvements. Keenly monitors deployment issues to address with immediacy , identify the root causes of failures/issues and developing corrective actions to prevent recurrence. Serves as a Solution Engineer to support non-functional requirements in the development, deployment, and ongoing tuning, as necessary. Troubleshoot and resolve technical issues related to the platform. Create support tickets and work with IBM as needed. Apply and promote patches. Installation, configuration, and administration of Server set-up and management.; Infrastructure and Environment migrations Perform detailed code reviews to ensure quality, performance, and maintainability. Provide on-call support periodically throughout the year to ensure system reliability and incident response. Mentor and influence all levels of the team: in this role, you will have the opportunity to influence up and down the chain of command. Required Skills/Knowledge Strong Experience with Java, Springboot, DevOps, and Agile based Development. Good knowledge of IBM WebSphere / MQ clustering and administration Good knowledge of IBM ITX including Design studio, setup, and implementation. Experience with deploying IBM ITX/WTX (WebSphere transformation extender) and IBM MQ in Kubernetes containers. Experience with cloud-based environments (AWS, GCP, or Azure) and associated container management tools. Desired Skills/Knowledge Working knowledge of containerization platforms such as Docker, and experience with Kubernetes orchestration. Should have good knowledge of RESTful design, SOAP APIs , and API specifications like Open API(Swagger) Strong working knowledge of the Financial Industry and Consumer Lending Desire to work in a dynamic, fast paced environment. Excellent interpersonal skills with ability to influence clients, team members, management, and external groups. Eligibility Criteria Bachelor’s Degree and 5+ years relevant experience in Information Technology, or in lieu of a degree 7+ years relevant experience in information Technology. Work Timings: 2:00 PM to 11:00 PM IST This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L8+ Employees can apply Grade/Level: 10 Job Family Group Information Technology Show more Show less

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions . With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies! Show more Show less

About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. About The Role We are looking for a highly skilled SIEM Consultant with deep hands-on experience in designing, implementing, and configuring Splunk SIEM solutions. The ideal candidate will be responsible for deploying Splunk into customer environments, onboarding diverse log sources, configuring security use cases, and integrating external tools for end-to-end threat visibility. This role demands strong technical expertise, project delivery experience, and the ability to translate security monitoring requirements into Splunk configurations and dashboards. Key Responsibilities SIEM Design s Implementation Lead the design and deployment of Splunk architecture (single/multi-site, indexer clustering, search head clustering, ). Define data ingestion strategies and architecture best Install, configure, and optimize Splunk components (forwarders, indexers, heavy forwarders, search heads, deployment servers). Set up and manage Splunk deployment servers, apps, and configuration bundles. Log Source Onboarding Identify, prioritize, and onboard critical log sources across IT, cloud, network, security, and application Develop onboarding playbooks for common and custom log Create parsing, indexing, and field extraction logic using conf, transforms.conf, and custom apps. Ensure log data is normalized and categorized according to CIM (Common Information Model). Use Case Development s Configuration Work with SOC teams to define security monitoring requirements and detection Configure security use cases, correlation rules, and alerting within Splunk Enterprise Security (ES) or core Develop dashboards, alerts, and scheduled reports to support threat detection, compliance, and operational Tune and optimize correlation rules to reduce false Tool Integration Integrate Splunk with third-party tools and platforms such as: Ticketing systems (ServiceNow, JIRA) Threat Intelligence Platforms (Anomali) SOAR platforms (Splunk SOAR, Palo Alto XSOAR) Endpoint C Network tools (CrowdStrike, Fortinet, Cisco, ) Develop and manage APIs, scripted inputs, and custom connectors for data ingestion and bidirectional Documentation s Handover Maintain comprehensive documentation for architecture, configurations, onboarding steps, and operational Conduct knowledge transfer and operational training for security Create runbooks, SOPs, and configuration backups for business Prepare HLD and LLD documents for Solution Required Skills s Experience 5+ years of experience in SIEM implementation, with at least 3 years focused on Strong knowledge of Splunk architecture, deployment methods, data onboarding, and advanced search. Experience in building Splunk dashboards, alerts, and use case logic using SPL (Search Processing Language). Familiarity with Common Information Model (CIM) and data normalization Experience integrating Splunk with external tools and writing automation scripts (Python, Bash, ). Preferred Certifications Splunk Core Certified Power User Splunk Certified Admin or Architect Splunk Enterprise Security Certified Admin (preferred) Security certifications like CompTIA Security+, GCIA, or CISSP (optional but beneficial) Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted. Show more Show less