554 Modeling Jobs - Page 6

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

Oversee the design, development, and implementation of CRM solutions, including customisations, integrations, and data migration. Mentor and guide junior team members, fostering their professional development and knowledge of CRM. Manage and maintain CRM platforms, ensuring optimal performance, security, and compliance. Stay up to date with the latest CRM technologies and trends, recommending upgrades as needed. Collaborate with project managers to define project scope, timelines, and deliverables. Track project progress, identify risks, and implement mitigation strategies. Foster a collaborative and supportive team environment that encourages knowledge sharing and innovation. Responsibilities: Bachelors degree in Computer Science, Information Technology, or related field. Strong proficiency in CRM platforms (i.e. Microsoft Dynamics 365) and related technologies. In-depth knowledge of CRM architecture, data models, and integration methods. Expertise in database management, including SQL for data retrieval, manipulation, and analysis. Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams. Strong problem-solving and analytical skills. Ability to manage multiple projects simultaneously and prioritise tasks effectively.

We are looking for high quality talent to join Bernsteins premier Equity Research platform in Asia. We are recruiting for full-time Research Associates. Our research teams are typically only two or three professionals; therefore, you will have a high level of responsibility and be empowered to make an important contribution. As a Research Associate you will: Acquire expertise in your sector working with a Senior Analyst who is a seasoned industry expert. Become adept at in-depth analysis of your industry and companies. Contribute to our highly differentiated written product Build relationships with company managements as well as sales, trading, and institutional clients We make a strong commitment to Associate development and will give you opportunities to gain visibility and incremental responsibility over time. While our culture is intellectually rigorous, it is also very collegial and fun Associates participate in a range of activities including philanthropy, development and leadership programmes, social events, mentoring and annual on- and off-sites. Profile required Our Research Associates typically possess: Track records of outstanding academic performance from leading educational institutions Advanced financial modelling skills including confident knowledge of Excel and/or experience of analysing financial companies Coding Skills is an advantage Outstanding verbal and written communication skills in English Relentless intellectual curiosity and a drive to excel at the highest level Team players who seek a highly rigorous and collegial environment for their career development

About Loadshare: LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns. What sets us apart: • Scale with depth: We handle ~400K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 20,000+ rider network. • Strong financials, stronger ambition: With 430 Cr in FY25 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability • Dual-engine model : We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lac orders/day — one of the few in India to enable asset cross-utilization across verticals • Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) , and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands. • Built to scale profitably : We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and new growth engines. Founders/ Founding team: Raghu Talluri (CEO) - Formerly at Myntra, McKinsey Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing) - Formerly at ICICI Prudential, Co founder Lunate Eco Overall 500+ employees on roll The Role: Where Business Meets Data Science We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit —the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence. Your mission, should you choose to accept: Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders. Roles and Responsibilities What You’ll Work On Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability. Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience. Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones. CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time. Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own. Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily. Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day. Freedom to Experiment : You get a playground with real data, full support from leadership, and space to try bold ideas. Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all. Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters. Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering. Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress. What We’re Looking For 4+ years of experience in Data Science/ML/OR solving complex real-world problems Strong in Python, SQL, and ML frameworks. Good grounding in optimization, statistics, experimentation, and business sense Curious mind, strong communication skills, and a bias for action. Bonus Points If You Have Worked on last-mile logistics, food delivery, or hyperlocal services Built real-time systems or worked closely with engineering on model deployment Experience with geospatial data, ETA models, or dynamic pricing Passion for making tech more inclusive for gig workers and emerging markets Ready to Redefine Hyperlocal Logistics? Join us. Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics—using data.

Role Overview You will be responsible for driving accurate demand forecasts, maintaining optimal inventory levels across retail and online channels, planning timely replenishments from the central warehouse, and delivering actionable insights through reporting and dashboards. You will play a key role in balancing inventory availability with working capital efficiency Key Responsibilities - Demand Forecasting- Forecast product demand at SKU, store, and channel level using historical sales, seasonality, and marketing inputs- Collaborate with merchandising and sales teams to adjust forecasts for new launches, promotions, and regional preferences Key Responsibilities - Replenishment & Allocation- Define and manage min-max levels and replenishment rules for each store and FOFO franchise Inventory Planning & Analytics Manager- Monitor stock movement and initiate timely transfers from the central warehouse- Allocate stock for new launches, reorders, and high-performing SKUs Key Responsibilities - Inventory Optimization- Track inventory turnover, sell-through, and aging stock across all channels- Identify and propose actions for slow-moving Key Responsibilities - Analytics & Reporting- Build and maintain dashboards for inventory health, forecast accuracy, and store performance- Automate reporting using Power BI/Excel/SQL for leadership Key Skills Required- Advanced Excel (pivot tables, lookups, modeling), Power BI/Tableau- Forecasting techniques and planning logic (ABC classification, EOQ, min-max)- Strong analytical thinking and attention to detail- Knowledge of retail inventory planning tools or ERP systems (NetSuite, Zoho, Unicommerce, etc.)- Excellent communication skills and cross-functional collab KPIs- Forecast accuracy- Inventory turnover ratio- Store fill rate- Stock-out % and overstock %- Dashboard/reporting adherence and usage Ideal Background- 5-8 years experience in inventory planning, demand forecasting, or merchandising analytics- Preferably in jewelry, fashion retail, FMCG, or D2C brands

Primary Job Duties & Responsibilities Update financial models to align Closed Won sales with income statement revenue and other sales-driven metrics Interpret data and generate actionable insights to support business decisions (e.g., trends, forward-looking metrics) Prepare reports and present findings to Sales Management, Business Unit Leaders, and Finance Leadership Determine relevant data sources and provide analytical insights to key business partners Create and utilize data visualization techniques to support data exploration and storytelling Lead the operationalization and automation of complex data processes across multiple systems and large data sets Present analytical findings in business-relevant terms to non-technical stakeholders Understand and support data models across multiple business units Analyze the relationship between sales operations and business outcomes to inform data insights Reconcile and load data into Salesforce and other relevant data models Collaborate with cross-functional business partners to ensure alignment and accuracy in reporting and data strategy Education, Work Experience, & Knowledge Bachelor's degree in Finance, Business, Accounting, Analytics, or a related field preferred (or equivalent certification/experience) 24 years of experience in data analysis, modeling, and analytics Proven ability to reconcile and analyze complex data sets for trend identification and strategic insights Experience with Salesforce preferred Proficiency in analytical tools and technologies, including: Excel (advanced functions like pivot tables, VLOOKUP) Tableau (basic to intermediate level for data visualization) Strong understanding of business context and ability to make data meaningful and actionable for end users Ability to extrapolate functional business use cases into data requirements and technical implementations Awareness of how business data evolves over time and ability to incorporate historical data into development and testing processes Proactive in ensuring data accuracy, context, and clarity when delivering new capabilities or reports

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be responsible for developing and deploying AI/ML solutions to address complex business problems and impactful needs, building robust data pipelines, and delivering advanced analytics by combining data engineering with AI/ML techniques. Additionally, you will engage in research and development of innovative AI/ML techniques and create, document, and deliver AI/ML program updates for stakeholders. It will be your responsibility to implement and maintain efficient data pipelines using SDLC best practices, develop, optimize, and execute smooth data extraction, transformation, and reporting, and create dashboards and monitoring tools to support ongoing data quality and performance. Moreover, you will collaborate with stakeholders to understand business requirements and translate them into technical solutions, work with team members to operationalize end-to-end AI/ML solutions, and collaborate with cross-functional teams to align with the mission and vision of the organization. Required qualifications, capabilities, and skills include formal training or certification on Applied AI ML Associate Sr concepts and 3+ years of applied experience, proven experience in data engineering and applied AI/ML, strong skills in data wrangling, analysis, and modeling, experience in developing scalable data systems and impactful AI/ML models, ability to engage with stakeholders and translate business requirements into technical solutions, strong collaboration skills to work across teams and drive strategic initiatives, understanding of software quality, operational efficiency, and strategic goal achievement, ability to address existing skill gaps and technical debt in data engineering and AI/ML, and experience in merging traditional data engineering with AI/ML-driven solutions. Preferred qualifications, capabilities, and skills include familiarity with modern front-end technologies and exposure to cloud technologies.,

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees" passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team: Finance plays a key role in the success of Expedia Group across both Corporate and Business functions. Our Finance teams support Corporate FP&A, Consumer Brands Finance Support, including partnership with Expedia, Hotels.com, and Vrbo business leaders, as well as B2B Finance Support for teams such as Marketing, Product & Technology, and Supply. Make an impact! We are looking for a Senior Finance Manager (FP&A) to join the Expedia Group Finance Team. In this role you will provide financial management support and partner with leaders throughout EG. You will be a catalyst in influencing the strategic decisions across the business. We will nurture your collaborative approach and will welcome your way of thinking. We value working with globally diverse teams to break down obstacles, be innovative, and ensure the financial success of the business and happiness of our travelers! In This Role, You Will: The Senior Finance Manager will support business leaders, finance partners, and executive stakeholders. In this role, you will: - Own story-telling for business performance reviews and forecasting - Implement efficiencies and effectiveness in processes such as financial reporting, modeling, and forecasting - Influence partners and leaders to make financially sound decisions - Lead ad-hoc analyses and projects in collaboration with business and finance teams Experience And Qualifications: - 8+ years finance experience with growing responsibilities; management experience is a plus - Career examples of contributing to impactful projects and/or company initiatives - Exhibits intellectual curiosity, ownership, and a focus on continuous improvement - Strong interpersonal skills with experience working closely with senior management - Advanced analytics, modeling, forecasting, and presentation skills - Able to lead and influence decisions across various internal functions - Comfortable working with ambiguity in a dynamic, fast-paced environment - Experience with finance systems like Hyperion or SAP BPC is a plus Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Groups Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.,

As part of the position, you will be responsible for ensuring safety in the workplace by reviewing and closing Unsafe Acts and Unsafe Conditions as identified. You will also provide necessary inputs for closing these issues. It is imperative to prioritize safety measures during equipment operation, material handling, and forklift operation. Ensuring that all employees use Personal Protective Equipment (PPE) is crucial for maintaining a safe working environment. Your role will also involve understanding and implementing various machining processes, including knowledge of Conventional and CNC machineries. You will be tasked with maintaining machinery accuracy levels, designing jigs and fixtures, establishing inspection methods, and handling measuring equipment and calibration. In addition, you will be involved in the manufacturing of both new and existing products. This includes activities such as new product development, feasibility studies, modeling, design, and drawing extraction. You will also be responsible for tasks like reverse engineering, simulating product drawings, and planning production schedules. Monitoring and updating the progress status of new products, establishing new product processes, and conducting inspections are key components of this role. Furthermore, you will be expected to focus on continuous improvement in ongoing processes, monitor the effectiveness of processes, and upgrade them as needed. For product servicing, you will ensure that designing activities align with provided specifications and provide input for modifying existing products. Calculating product and man-machine running hours costing will also be part of your responsibilities. Overall, your role will involve a combination of safety management, machining process knowledge, new product development, and quality assurance to contribute to the overall efficiency and effectiveness of the manufacturing operations.,

Aarki is an AI company dedicated to developing advertising solutions that drive mobile revenue growth. Utilizing AI technology, we identify audiences in a privacy-first environment by analyzing trillions of contextual bidding signals alongside our proprietary behavioral models. Our comprehensive audience engagement platform consists of a full-service agency team and a Unified Creative Strategy that offers ad creative ideation and execution services. With a history of working with numerous advertisers over 14 years, we process 5 million mobile ad requests per second from over 10 billion devices, effectively enhancing performance for publishers and brands. Headquartered in San Francisco, CA, we also maintain offices in the United States, EMEA, and APAC. We are currently looking for a dynamic and detail-oriented Senior Manager of Applied Data Science to join our team. As a Senior Manager, you will lead a team responsible for creating and implementing machine learning models and data pipelines to optimize our programmatic demand-side platform (DSP). Collaborating closely with decision science, engineering, and analytics teams, you will drive impactful data science projects and contribute to innovative solutions. Join us in our mission to push the boundaries of AI and mobile advertising within a collaborative environment that encourages creativity and growth. At Aarki, we offer a competitive salary, comprehensive benefits, and substantial opportunities for career advancement. Responsibilities include: - Building, nurturing, and mentoring a high-performing data science team, emphasizing technical growth and long-term career development. - Spearheading the development of scalable machine learning pipelines tailored for programmatic mobile advertising. - Establishing best practices for model deployment, monitoring, and performance assessment. - Taking ownership of process enhancements throughout the ML lifecycle. - Promoting collaboration with teams in Bangalore and San Francisco, including decision science and bidder engineering, to deploy models into production and conduct experiments. - Ensuring timely project deliveries and swift resolution of model-related issues in production environments. - Designing and managing data pipelines to facilitate the efficient processing of large-scale datasets for training and evaluation. - Collaborating with product managers, engineers, and business stakeholders to seamlessly integrate models into production systems. - Staying abreast of advancements in machine learning and applying cutting-edge techniques to enhance platform capabilities. - Driving innovation by exploring and adopting new methodologies, tools, and technologies. The ideal candidate possesses: - Over 7 years of hands-on experience in data science, with a solid background in machine learning, statistics, and modeling. - More than 3 years of experience in managing teams of data scientists or ML engineers. - Proficiency in Python and SQL, with familiarity in Spark being advantageous. - Expertise in ML libraries like Scikit-Learn, LightGBM, TensorFlow, and PyTorch. - Profound understanding of probability, statistical analysis, and experimental design. - Demonstrated expertise in deploying ML models into production and ensuring continuous model observability. - Exceptional communication skills enabling the effective explanation of complex concepts to both technical and non-technical audiences. - Knowledge of RTB, auction theory, and high-throughput low-latency environments is a plus.,

The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will encompass building data transformations for structured and unstructured data, exploring and refining modeling and scoring algorithms, and implementing methods for adaptive learning and model validation. Your expertise in automation and predictive analytics will be instrumental in enhancing operational efficiency and performance monitoring. In addition to your technical skills, you will be expected to possess a strong academic background and exceptional software engineering capabilities. A proactive and detail-oriented approach, coupled with excellent collaboration skills, will be essential for success in this role. This is a hybrid position, allowing for a flexible work arrangement that combines remote work and office presence. The expectation is to work from the office 2-3 set days per week, with a general guideline of being in the office at least 50% of the time based on business requirements. Qualifications: - 8 or more years of work experience with a Bachelors Degree or an Advanced Degree - Proficiency in modeling techniques such as logistic regression, Nave Bayes, SVM, decision trees, or neural networks - Ability to program in scripting languages like Perl or Python, and programming languages such as Java, C++, or C# - Familiarity with statistical tools like SAS, R, KNIME, and experience with deep learning frameworks like TensorFlow - Knowledge of Natural Language Processing and working with large datasets using tools such as Hadoop, MapReduce, Pig, or Hive - Publications or presentations in recognized Machine Learning and Data Mining journals/conferences would be advantageous Join Visa as a Staff ML Scientist and contribute to pioneering advancements in Applied AI research that drive innovation and shape the future of data analytics.,

A finance manager is responsible for the overall financial health and stability of an organization. This includes tasks like financial planning, analysis, reporting, and risk management. They also advise senior management on financial strategies to maximize profitability and ensure compliance with regulations. Here's a more detailed breakdown: Core Responsibilities: Financial Planning and Analysis: Developing and managing budgets, forecasting future financial performance, and analyzing financial data to identify trends and opportunities. Reporting and Compliance: Preparing financial reports, statements, and forecasts for senior management and stakeholders. Ensuring compliance with financial regulations and reporting standards. Investment Management: Evaluating investment opportunities, managing cash flow, and advising on financing strategies. Risk Management: Identifying and mitigating financial risks, developing risk management strategies, and ensuring the organization's financial stability. Supervision and Leadership: Managing and mentoring a team of finance professionals, overseeing their work, and fostering a collaborative environment. Strategic Advice: Providing financial insights and recommendations to senior management to support strategic decision-making.

As a Senior Manager, Supply Chain Analytics at Genpact, you will play a crucial role in consulting with CPG/Life Science majors to solve their Supply Chain business problems. Your responsibilities will include designing Supply Chain Analytical solutions, defining KPIs and metrics, and developing BI solutions. You will handle large datasets, identify trends in complex data sets using statistical techniques, and generate actionable insights. Additionally, you will collaborate closely with global clients and cross-functional teams to identify business needs, requirements, and prioritize needs. To excel in this role, we are looking for candidates with a minimum qualification of an MBA/M Tech in Industrial Engineering or Management, PG in Engineering or Statistics, or Ph.D. in Operations research/optimization domain. You should have relevant work experience in Supply Chain and exposure to ERPs such as SAP, JDE, Oracle, etc. Hands-on experience in areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, and Logistics is essential. Strong analytical skills, proficiency in Microsoft Applications, and the ability to manage a team are also key requirements. The ideal candidate will demonstrate a personal drive, positive work ethic, flexibility, and good communication and negotiation skills. Experience in the Supply Chain Life Sciences/CPG space, including Demand Planning, Supply Planning, Inventory Management, and Logistics, is highly desirable. You should have experience in areas such as Forecasting, Capacity Planning, Procurement, and Digital Transformation. Proficiency in visualization tools like Tableau, Power app, or Qlik, as well as statistical forecasting and inventory optimization techniques, will be an advantage. If you are an inspiring leader with a strong background in Supply Chain Analytics, possess a mix of modeling and programming experience, and have a track record of delivering analytics solutions, we encourage you to apply for this exciting opportunity as a Senior Manager, Supply Chain Analytics at Genpact.,

Anaplan Looking for a world of opportunities and a fulfilling career? We are a creative digital consultancy. We combine leading digital and creative capabilities with the deep industry knowledge and experience Deloitte is known for. That means, our clients can bring us their biggest challenges, knowing we have what it takes to bring a business vision to life. Work youll do - Practitioners will integrate and learn from talented colleagues who have focused around core domains that we may not have had visibility into. - Our move towards integrated solutions demands that everyone adopt a growth mindset and invest in expanding their understanding of what we bring to the marketplace. - Practitioners will be able to develop skills in a Portfolio that represents the unification of the some of the most diverse, globally recognized brands and businesses in the organization—an exciting opportunity for their career development. - Understanding clients’ Sales Management Strategy and transforming them to multidimensional technologies - Articulate design and documentation of requirements to cover business processes - Translate these requirements to enterprise models with associated modules, lists / line items, and calculations as supported by multi-dimensional Anaplan platform - Deliver Planning Solutions which meets their Business requirements in a time efficient manner - Reviewing use cases to conceive and execute proof-of-concept models - Leverage the following hands-on experiences to deliver work - - Anaplan cloud tool - Overall planning knowledge would be an added advantage - Leverage good communication, presentation and articulation skills in both verbal and non-verbal communication - Communicate and collaborate with team members across locations to accomplish project goals - Lead routine conference calls and participate in client-facing meetings, detail action items and follow through on tasks - Leverage knowledge of data preparation activities such as extraction, cleansing, aggregation and data analysis - Generate, validate, publish and deliver reports as per the business requirement - Work on ad hoc reporting requests, maintain data quality of production and ad-hoc reports - Respond to incident and service requests as per the defined SLAs - Work on break-fixes and enhancement requests - Deliver assigned work successfully and on-time with high-quality - Develop documentation for delivered solution - Assist in all phases of testing - The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner - Prior experience on client supporting roles and issues identification and debugging would be an added advantage Our Digital Customer team focuses on designing and implementing sales and service experiences, capabilities, and architectures to bring customer strategies to life. Our ambition is to be the best in the world at driving customer transformation through the development of clever commercial strategies, distinctive experiences, and the application of digital technologies. We help make the “creative digital consultancy” real and in doing so, make new markets. The Team The Customer & Marketing Offering Portfolio integrates our most differentiated, globally recognized customer and marketing businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. From our core strengths in creative design, to strategy, platforms and solutions, as well as our continued growth through acquisitions, we are specifically positioned to bring fully integrated solutions to our clients. We are all consumers and personal marketers. This reality is what makes the Customer & Marketing Offering Portfolio so exciting. What we deliver in the market each and every day directly impacts who we are as customers. We are able to deliver on outcomes for the very products and services that we have the privilege of engaging with ourselves. Professionals will serve our clients through the following types of work: Sales Excellence & Service Excellence | delivers sales and service strategies and plans, operating model definition, incentive design and implementation, and operations support for digitally-enabled sales, channel, and customer service capabilities Digital Experience | creates engaging omni-channel digital experiences across web, mobile, AR/VR, voice, gesture, IoT, and video Flexible Consumption | the commercial strategy, operating model definition, and capability delivery of subscription/flexible consumption business models Digital Foundry | a flexible, end-to-end delivery model emphasizing innovation and disruption DigitalMix | an integrated set of platforms to enable business re-platforming Qualifications and Experience Required: - A minimum of 6 years of consulting and/or relevant industry experience - Proficiency in writing Anaplan logics and overall knowledge of database concepts - Ability to design and develop reports and dashboards as per business requirement - Experience with various data mining and business intelligence tools, such as Hyerion, SAP BPC, Cognos TM1, Tableau, Microsoft Access - Good understanding of the planning in Sales, Operations & Finance domain - Ability to translate from model-building in Excel to multi-dimensional technologies - Experience participating in AGILE, Waterfall scrum sessions - Understanding of relational database theory - Strong analytical and communication skills - Excellent interpersonal and collaboration skills - Ability to effectively prioritize and execute tasks in a high-pressure environment - Must possess critical thinking, problem solving, and decision-making skills - Professional Qualification- B.E/B.Tech/MCA/MSC/MS

We are looking for an Asset Manager to join our team and help our clients grow their financial portfolios by providing recommendations and asset acquisition on their behalf. Asset Manager responsibilities include conducting risk analyses, preparing financial reports and developing strategies to maximize asset growth for their clients. Ultimately, you will work directly with clients to help them cultivate their financial portfolios, understand risks in the market and prepare financial statements on their behalf. Responsibilities Monitor asset performance and recommend corrective measures Develop strategies to increase ROI and minimize risk and loss Review policies and make recommendations for potential adjustments Research relevant markets and identify trends and patterns Collaborate with the asset management team, company analysts and senior executives

Product Costing breakdown Considering Man, Machine, Material & Processes for new projects Develop 3D CAD models, Assemblies & Drawing using CREO, AUTO CAD 3D Print assembly, review, feedback and improve Follow for New Product Implementation processes

As a highly motivated PED Attribute Lead, you will be responsible for defining and delivering vehicle-level attributes related to performance, fuel/energy efficiency, and driveability. Your role is crucial in ensuring that the vehicle meets customer expectations and competitive benchmarks in dynamic performance and real-world usability. Your key responsibilities will include: - Defining attribute targets for vehicle performance such as acceleration and top speed, energy/fuel efficiency, and driveability including throttle response, shift quality, and NVH. - Leading cross-functional teams, including powertrain, chassis, calibration, and software, to deliver attribute performance. - Developing and executing test plans for the validation of PED attributes in simulation, lab, and real-world environments. - Benchmarking competitor vehicles and analyzing market trends to inform target setting. - Utilizing data analytics and modeling tools to predict and optimize attribute performance. - Supporting vehicle tuning and calibration activities to meet attribute goals. - Presenting attribute status updates to relevant stakeholders.,

As a Data Modeling Engineer specializing in Near Real-time Reporting, you will be responsible for creating robust and optimized schemas to facilitate near real-time data flows for operational and analytical purposes within Google Cloud environments. Your primary focus will be on designing models that ensure agility, speed, and scalability to support high-throughput, low-latency data access needs. Your key responsibilities will include designing data models that align with streaming pipelines, developing logical and physical models tailored for near real-time reporting, implementing strategies such as caching, indexing, and materialized views to enhance performance, and ensuring data integrity, consistency, and schema quality during rapid changes. To excel in this role, you must possess experience in building data models for real-time or near real-time reporting systems, hands-on expertise with GCP platforms such as BigQuery, CloudSQL, and AlloyDB, and a solid understanding of pub/sub, streaming ingestion frameworks, and event-driven design. Additionally, proficiency in indexing strategies and adapting schemas in high-velocity environments is crucial. Preferred skills for this position include exposure to monitoring, alerting, and observability tools, as well as functional familiarity with financial reporting workflows. Moreover, soft skills like proactive adaptability in fast-paced data environments, effective verbal and written communication, and a collaborative, solution-focused mindset will be highly valued. By joining our team, you will have the opportunity to design the foundational schema for mission-critical real-time systems, contribute to the performance and reliability of enterprise data workflows, and be part of a dynamic GCP-focused engineering team. Skills required for this role include streaming ingestion frameworks, BigQuery, reporting, modeling, AlloyDB, pub/sub, CloudSQL, Google Cloud Platform (GCP), data management, real-time reporting, indexing strategies, and event-driven design.,

As an Equity Research Analyst, you will be expected to have a strong passion for equity research and possess excellent report writing and modeling skills. Your responsibilities will include preparing quarterly result notes, tracking corporate updates, and independently generating investment ideas through detailed fundamental study. You will also be supporting the lead in fund management activities, assisting in NAV calculations, report generation, and client reporting. Strong communication skills are essential for effective collaboration within the team. Candidates with prior experience in equity research and a CA/CFA qualification would be preferred for this role. Additionally, you will also contribute to investor relations activities as part of your responsibilities.,

You should have 3 to 5 years of experience in Software such as EdgeCAM, CreoNC, Vericut simulation with all machining processes. Your knowledge should include various cutting tools, presetters like Zoller, TMS, TDM, and materials like Cast Iron and Steel. Your position-specific duties will involve CNC programming in EDGECAM, CreoNC software, machining simulation in Vericut, and tooling drawings and modeling in Creo & AutoCAD. You should possess skills in cutting tools and have a good understanding of Process Stage Drawings. It is mandatory for you to have advanced skills in Excel, Macros, VBA, Dashboards, MS-Access, WorkNC, SolidWorks, Computer Numerical Control (CNC) Programming, Autodesk AutoCAD, Creo Parametric, Edgecam, VERICUT, Siemens NX, R Programming, PowerMILL, CAM Software, and Microsoft Power Business Intelligence (BI).,

Position summary: We are looking for a highly skilled and detail-oriented Quality Engineer – Cybersecurity Migrations to support the validation of security policy migrations across major NGFW platforms. In this role, you will be responsible for analyzing the output of automated migration tools, resolving post-migration issues, and ensuring consistent, secure, and functional firewall configurations in customer environments. Your work will directly impact customer satisfaction and operational stability. Key Roles & Responsibilities: Design and maintain test plans and test cases to validate the accuracy and completeness of automated firewall migration output. Review and verify firewall configurations migrated by automation tools to ensure they meet expected functionality and security posture. Identify logic gaps, configuration anomalies, or rule mismatches introduced during tool-based migrations. Collaborate with tool development teams to report defects, validate fixes, and improve transformation logic. Troubleshoot and resolve post-migration escalations, including policy behaviour mismatches, broken traffic flows, and unexpected security outcomes. Perform side-by-side comparisons of pre- and post-migration rules to verify functional equivalence. Raise, track, and close vendor support (TAC) cases where deep platform-level issues are involved. Contribute to documentation including SOPs, test coverage reports, known issues, and configuration validation guides. Interface directly with customers to understand post-migration challenges and ensure successful resolution. Basic Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field (BE / B.Tech / MCA or equivalent). 6+ years of hands-on experience in firewall configuration, validation, and troubleshooting. Strong technical knowledge of NGFW platforms including Palo Alto, Cisco FTD, FortiGate, and Check Point. Familiarity with policy and object modelling across different firewall platforms. Experience in writing test cases and test plans for automation tools or configuration transformation logic. Strong understanding of networking and security concepts, including routing, NAT, VPNs, zones, and application filtering. Excellent debugging and root cause analysis skills in post-deployment/migration environments. Ability to interpret logs, packet captures, and platform-specific diagnostics to isolate issues. Preferred Qualifications: Certification: PCNSA, PCNSE, NSE-1, NSE-2, NSE-3, NSE-4 Certification: CCNA (R&S) / CCNP (R&S) Exposure to firewall migration automation tools Understanding policy normalization and risk scoring tools (e.g., Tufin, FireMon)

Kulthiaa Jewel is looking for JEWELLERY DESIGNER to join our dynamic team and embark on a rewarding career journey Design Concept Development: Develop creative and innovative jewelry design concepts that align with the brand's identity and market trends Sketching and Rendering: Create detailed sketches and renderings of jewelry designs, showcasing various angles and intricate details Material Selection: Choose the appropriate metals, gemstones, and other materials to enhance the aesthetics and durability of the jewelry pieces 3D Modeling: Utilize computer-aided design (CAD) software to create 3D models of jewelry designs for visualization and prototyping Collaboration with Gemologists: Work with gemologists to source and select high-quality gemstones for inclusion in the designs Prototype Development: Oversee the creation of prototypes to ensure the design vision is accurately translated into physical jewelry pieces Production Guidance: Collaborate with manufacturers to provide technical guidance during the production process to ensure design integrity Market Research: Stay updated on jewelry trends, customer preferences, and competitive designs in the market Brand Identity: Ensure that the jewelry designs reflect the brand's style, target audience, and desired market positioning Quality Control: Conduct quality checks on finished jewelry pieces to maintain design consistency and high standards Presentation: Create compelling presentations to showcase jewelry designs to internal stakeholders and clients Should have a good vision and creativity skills to produce new designs, Should have sound knowledge of computer program to design jewellery when required

platform and business data to drive strategic decisions and optimize performance. Conduct in-depth analysis of user behavior and engagement, translating insights into actionable recommendations for product, marketing, and customer service teams.Monitor KPIs, identify trends, and ensure data accuracy to improve service delivery and user experience across all verticals. Key Responsibilities Collect data from diverse sources. Clean and preprocess data to ensure accuracy, completeness, and integrity. Perform EDA to identify trends, patterns, and correlations within platform and business data. Utilize data visualization tools for effective data presentation. Conduct in-depth analysis of user behavior, engagement metrics, and customer feedback across platforms and verticals. Identify areas for improvement based on analysis. Inform strategic decision-making. Track performance over time. Identify opportunities for optimization. Collaborate with product development, marketing, and customer service teams. Translate data insights into actionable recommendations and initiatives for each business vertical. Monitor key performance indicators (KPIs) and metrics related to service delivery, user experience, and business performance across verticals. Employ supervised learning for predictive modeling (churn, behavior). Employ unsupervised learning for user segmentation. Use NLP for sentiment analysis and topic extraction from text. Explore deep learning for complex data like images or sequences, enhancing analytical capabilities and insights. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, or related field. 1-2 years experience in data analysis. Proficiency in SQL, Python or R, and data visualization tools. Strong analytical and problem-solving skills, with ability to translate data into actionable insights. Excellent communication and collaboration skills. Experience with EDA and KPI monitoring. Experience in Data Modeling would be an advantage.

Dear Candidate, About us: IMAGE Creative Education Pvt Ltd is managed by Image Infotainment Limited, Its certified Knowledge Powerhouse that has been fueling the growth of Digital Media in India for over a decade now. Position of: 3D - Faculty Location: Coimbatore Roles and Responsibilities: Teach and mentor students in various aspects of 3D animation, including modeling, texturing, rigging, and animation. Assess student progress and provide constructive feedback. Keep curriculum updated with industry trends and advancements. Collaborate with other faculty members to enhance the educational experience. Facilitate workshops and hands-on projects to enhance practical skills. Guide students in creating portfolio projects for job readiness Required Skill Sets: • Good Communication Skill. • Expertise in 3d in Maya with specializing in Animation • Well versed in Organic Modelling • Creative Thinking, Passionate, Discipline & Professional Kindly send your Updated resume with Showreel Link . Let me know if you have any clarifications Best Regards Lilly R HR - Specialist Ph- 9884017521 IMAGE INFOTAINMENT LTD, Corporate Office,Chennai, INDIA

Good understanding of Transmission & Engine systems and components, Casting Structural components Expertise in modelling and detailing of complex castings using surface modelling techniques to develop core passages in Transmission, Lower powertrain, Engine components like cases, covers, manifolds, Torque converter housings, heads & blocks, Crankshaft, Camshaft, flywheel & housing, axle housing. Strong knowledge in GD&T. Pro E / CREO experience with background in casting and forging design, Modelling and Detailing. General understanding of complex casting components, gears and shafts. Any casting experience from foundry / forging industry will be an added advantage.