662 Online Marketing Jobs - Page 13

Job Information Job Opening ID ZR_1702_JOB Date Opened 13/03/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Digital Marketing - Sr Google AdWords Specialist City Coimbatore Province Tamil Nadu Country India Postal Code 641038 Number of Positions 1 Experience in supporting Advertising products like AdWords (Search, Shopping, Display & Mobile), Analytics (PPC ROI tracking) with in-depth knowledge on various online advertising policies (Search, Display, Mobile, Video) and revenue models (like Pay per click or Cost Per click, Cost Per (Thousand) Impressions, Cost Per View, and/or Cost Per Acquisition) Understanding of billing and invoicing structure of advertising platforms (Facebook, Google & others) Google Certifications (AdWords and/or Analytics) Min 3 Years to 6 years experience in handling Ads campaigns. Demonstrates effective, clear, and professional written and oral communication Provides prompt and efficient service to Customers and Account Managers including the appropriate escalation of Customers issues. Maintains a positive and professional demeanor, always portraying the company in a positive light and effectively managing sensitive issues Demonstrates excellent time-management skills and the ability to work independently while using departmental resources, policies, and procedures Contributes to a positive team environment and proactively aids team members with difficult contacts as needed Maintains acceptable performance metrics such as quality, productivity, first contact resolution, and attendance Actively seeks solutions through logical reasoning and data interpretation skills and identifies trends to appropriate channels including improvement suggestions check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Developing, implementing, and managing marketing campaigns to promote project across various digital channels. This role requires a blend of creativity, analytical thinking, and technical skills to effectively reach and engage target audiences online

Role & responsibilities * Plan & execute SEO/SEM, email, social media, and paid ad campaigns * Grow our real estate brand across all social platforms * Analyse marketing performance of Meta and google ads (ROI & KPIs) * Identify trends and optimize strategies accordingly * Work with sales & creative teams on high-conversion landing pages * Drive lead generation through innovative digital campaigns * Stay ahead with the latest in real estate & digital marketing tools Preferred candidate profile * Proficient in digital marketing tools, analytics and Paid Ad platforms * Creative thinker with a strategic mind-set * Strong understanding of real estate audiences * Excellent client relationship skills * Passionate about performance marketing, growth, and innovation

Responsibilities: * Reach out to the prospective customer on call and communicate through digital media. * Collaborate on campaigns and events. * Assist in developing digital strategies and execute offline activities. Data management.

JOB DESCRIPTION ISBM was established in 1992. It is also ranked among the top ten International B-Schools that provide management courses through correspondence. ISBM has over 100 specializations and management courses to choose from ISBM is an NGO working its way to reaching towards people in the most distant corners of not only India but world in providing Correspondence courses in management field, with specially designed courses for working professionals; from Diploma in management courses to the Doctorate and Laureate level. Website: https://isbm.org.in/ Urgent Opening For Post of Digital Marketing Manager Location : Bhayander (west) Roles and Responsibilities Build and manage acquisition campaigns across various channels including social, SEM, and display to drive revenue and increase ROI. • Analyze and optimize campaign performance based on data-driven insights and strategy using quantitative analysis. • Identify marketing performance issues and pinpoint the root cause analysis with the help of analytics tools such as Google Analytics. • Effectively communicate complicated analyses by developing easy-to-use reporting or visualization dashboards (demand funnel, marketing planning and budgeting, marketing ROI, operational efficiency, campaign impact, awareness, events, and strategic KPIs). • Understand new and relevant KPI metrics requirements for performance management and optimization purposes. • Work with creative and marketing teams to test strategies and innovation. • Deliver quantifiable improvements in ROI and cost per conversion (CPA) across all channels. Qualifications Previous work experience in a quantitative marketing role managing strategy and execution on social, search, or other performance-oriented channels. • In-platform execution experience setting up campaigns in Facebook ads manager, Google Ads, and Google AdWords. • Deep understanding of data or data modeling and able to objectively identify insights for sharing with stakeholders. • Exceptional analytical skills to identify opportunities within complex data and where these can be operationalized. Contact Us : 9109984645 Email ID : vacancies@isbm.org.in

We’re hiring a highly motivated and creative Marketing Manager to lead our outreach, drive customer acquisition, manage brand positioning, and secure meaningful media coverage. You’ll work across sales funnels, social media, and PR.

Responsibilities: Content Publishing & Website Management Digital Marketing & Branding Creative Design & Multimedia Flexi working Work from home Performance bonus Provident fund Job/soft skill training Leave encashment Annual bonus Life insurance Health insurance Employee Assistance Program (EAP)

. Role - Sales Manager I Job Responsibilities: Serve as the primary point of contact for assigned client accounts, understanding their goals, needs, and challenges Develop account strategies to overcome the challenges and action plans to meet client objectives and maximize account growth as per the target Conduct regular F2F business reviews with clients, discussing performance, identifying areas for improvement, and presenting new opportunities Track and analyze account performance, sales data, account funnel, and market trends to identify opportunities and challenges Drive business growth for newly onboarded partners by working on their basic hygiene and health metrics Deliver Incremental Revenue from the assigned clients through monetization and commercial improvements Deliver incremental counter share for all assigned clients by strategic planning to dominate market share Maintaining a strong relationship with restaurant owners and delivering best-in-class restaurant NPS Collaborate with internal teams to coordinate and deliver exceptional service to clients, addressing any issues or concerns promptly Generate leads and proactively approach potential clients, presenting our value proposition and securing new partnerships Desired Candidate: Graduate with excellent communication skills. Good working knowledge and experience of e-commerce activities and all online marketing channels Confident, Pleasing and a go-getter personality Effective communication skills Attitude & Aptitude for Sales Should be a team player, working alongside people from all walks of life Analytical, good Excel skills Leadership and Influencing skills: Identify, builds, and use a wide network of contacts with people at all levels, internally and externally. Achieves a good result through a well-planned approach Initiative & Flexibility: Recognizes the need to adapt to change & implement appropriate solutions. Be able to identify opportunities and recommend/influence change to increase the effectiveness and success of campaigns Creativity & Initiative: Demonstrate creativity & originality in their work and have the personal drive and initiative to bring about change and help drive the business forward. Being the face of Swiggy in the market and standing up for the values we believe in Key Skills Required: P&L UnderstandingMarket Research and Intelligence Customer Lifetime Value Business Development Data Logic Data Interpretation Data Visualization MS Excel Data Analysis Result Orientation Managing Relationships Conflict Management Problem-Solving

Responsibilities: * Develop marketing strategies & campaigns * Manage budgets & resources effectively * Collaborate with cross-functional teams * Measure & report results regularly * Analyze market trends & customer needs

About the role We are looking for a Digital Campaign Optimization Specialist to join our growing Paid Media Team. In this role you will manage and optimize paid search campaigns in advertising platforms like Google Ads and Microsoft Ads to drive traffic and conversions. This role requires the ability to create and publish landing pages that are aligned to specific keyword themes and optimized for conversion. The ideal candidate will have a strong analytical mindset, excellent communication skills, and a passion for digital marketing. What you’ll do: Day-to-day hands-on management of campaign budgets Manage and optimize paid search campaigns across various platforms to drive traffic and conversions Conduct keyword research and analysis to identify opportunities for campaign improvement Monitor and analyze campaign performance metrics to ensure goals are met, and make data-driven decisions to enhance results Collaborate with marketing teams to develop and implement strategies that align with overall business objectives Staying up to date with industry trends and best practices to ensure campaigns are competitive and effective Create landing pages that are optimized for conversion, ensuring a seamless user experience and maximizing campaign effectiveness What we’ll want you to have 2 to 5 years of experience with Google Ads and Google Ads Editor Experience with creating and deploying landing pages via platforms such as Leadpages, Unbounce, and Instapage Proficiency in Microsoft Excel Strong attention to detail and organizational skills. Up-to-date knowledge of industry trends and best practices in digital marketing. Able to work flexible hours as required by business priorities Preferred technology experienceGoogle Ads, Microsoft Ads, Instapage, Excel, and Asana experience a plus Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job Title: Marketing Executive LinkedIn & SEO Location: Bangalore- WFO Experience Required: 0 to 1 Years Company Overview: MIDDLEWARE TALENTS PVT LTD has over 7 years of rich experience in providing staffing solutions to its fortune 500 clients specialized in IT, Non-IT, Banking and Engineering sector in various industries across India, UK , USA and Europe. Key Responsibilities: Create, schedule, and publish regular posts on the company's LinkedIn page to build brand awareness and engagement. Collaborate with internal teams (HR, sales, and delivery) to develop relevant content showcasing company achievements, job openings, case studies, and culture. Monitor and report on LinkedIn analytics to optimize engagement and reach. Conduct keyword research and implement SEO best practices in web content and blog posts. Help improve website visibility on search engines by optimizing on-page elements (meta tags, internal linking, headings, etc.). Assist in link-building activities and managing off-page SEO campaigns. Track and report SEO performance metrics using tools like Google Analytics, Search Console, and SEMrush or Ahrefs. Keep up to date with industry trends, algorithm changes, and LinkedIn/SEO best practices. Required Skills: Proven experience (0–1 years) in LinkedIn post management and SEO strategies. Good understanding of content marketing and social media trends. Basic knowledge of Google Analytics , Search Console , SEO tools (SEMrush, Ahrefs, Ubersuggest, etc.). Excellent written communication skills with an eye for detail. Ability to work independently, manage time effectively, and meet deadlines. Preferred Qualifications: Bachelor’s degree in Marketing, Communications, or a related field. Experience in Canva or similar tools for designing posts is a plus. Exposure to WordPress or basic HTML for content editing is advantageous. Why Join Us? Opportunity to work in a fast-growing and global company. Collaborative and dynamic work culture. Exposure to cross-functional marketing strategies and global brand building.

Role not for you, but know the perfect person for it? Refer a friend, and make Rs 10K if successfully placed :) Refer & Earn! In this role - you would: 1. Build Content Marketing Engine: a. It is a new category product and content marketing serves as a vital pillar for us to reach top-of-the-funnel audiences for awareness. b. You would be responsible for carrying out structured and methodological content experiments to figure out content-marketing fit and content-channel fit. c. Virality cannot be engineered on a whim but probability of virality can be increased by increasing the surface area of structured experimentation. You will lead this effort. 2. Performance Marketing: a. Own & scale customer acquisition on Meta and Google Ads through a first-principles approach identify high-leverage levers across copy, targeting, creative, landing pages, and attribution. b. Bring structure to chaos: Make sense of messy, multi-variable funnels and distill what s working, what s not, and what to double down on with minimal data. c. Analytical to the core: Comfortable with slicing spend and performance across cohorts, creatives, and keywords; uses insight to drive iteration, not intuition alone. 3. Other Channels: a. Work on offline events, influencer collabs to drive pre-orders. 4. Lead a team: a. Of video producers, visual designers and content writers. b. And exhibit true leadership capabilities: sacrifice, leading from the front, setting the urgency to move fast

Digital Marketing Executive DigiBoxx.com - India s 1st Digital Asset Management company is in search of a Digital Marketing Executive. We are looking for an experienced and result-driven Digital Marketing Executive to join our marketing team. Your responsibilities: Performing market analysis and research on the latest trends. Implement digital marketing activities across a broad range of digital marketing channels (SEO, SEM, social media, Email, Mobile, Display) Assisting Digital Marketing manager in maintaining the company s owned media including websites, mobile apps, and email. Assisting Digital Marketing manager in creation of relevant digital content for publishing onto various digital platforms Monitoring all social media platforms for trending news, ideas, and feedback. Assisting Digital Marketing manager in advertising campaigns (SEM, Display, Social, Programmatic) Assisting Digital Marketing manager in SEO campaigns Set up conversion, pixel, and event tracking on the website and across various digital platforms Conduct research on market trends, brand s audiences and competitors, and end-to-end consumer journey to drive engagements and conversions Analyze digital marketing analytics reports and share insights with the team to develop optimization plans Stay abreast of emerging digital tools and platforms, digital marketing trends, new technologies, and share insights with the rest of the team . Skill sets/Experience we require: 1-3 years of experience as a Digital Marketing Executive or similar role Good knowledge of all different digital marketing channels Good knowledge and experience with online marketing tools and best practices Experience implementing and optimizing Google Adwords campaigns Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills

About Amazon.com Amazon.com strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. About the Role Account Management- Vendor Specialist As a Vendor Specialist as part of Paid Selling Partner Services (PSPS) Team of Retail Business Services, you will have the exciting opportunity to help shape and deliver on a strategy for managing Amazon Vendors. PSPS team is looking for a bright, customer centric, driven, and creative candidate to join our team. You will interface internally with leaders from our Retail and Vendor Services teams and will be responsible for all aspects of the vendor s business with Amazon. You will engage directly with multiple internal teams to optimize the product line for key manufacturers (vendors) on Amazon.com. You will utilize a wide range of skills and work across major functional areas such as site merchandising, buying, Catalog management, inventory management, finance, operations, and online marketing, to drive the performance of strategic vendor partners at Amazon. In this role you will be focused on the strategic and operational aspects of managing the customer relationships with our vendors. You will conceive, create, and analyze a wide range of marketing and site merchandising efforts, to include marketing campaigns to grow the vendor s traffic, brand awareness, customer conversion, and revenue on Amazon. Also you will look into strategic and operational aspects of their business with Amazon, root cause analysis of issues and opportunities affecting the vendor s business. In addition, you are expected to proactively identify areas for growing Vendor s business by developing strategies. Responsibilities Include Success will be measured by the performance of your internal teams on input metrics and impact of vendors on creating a great customer experience for buying consumers Partnering with the Retail Category Team and managing the vendor relationship by championing the vendor s needs at Amazon Build communication channels at all levels, set proper expectations, provide clear status communications, and manage towards a growth plan for the vendors Build and execute on a strategic account plan that delivers on key business opportunities and relevant KPIs for the vendors and Amazon Work with internal Amazon teams/vendors to improve operational aspects of their business in providing a great consumer experience Conduct deep dive analysis on the handled issues for the vendors and publish recommendations and action plans based on data to improve vendor experience Provide thought leadership around planning, roadmaps and execution Establish long term partnerships with key vendor partners for the group of vendors handled Support the launches of new programs, categories and features Conduct regular WBR, MBRs with the vendors highlight business metric performance and building action plans Basic Qualifications and Skills Required An understanding of and passion for e-commerce Work experience is preferred (5+ years). Relevant experience in Vendor management, Sales, post sales, Account Management, and Business Development in managing B2B Business. Exposure to retail buying, retail planning & allocation, product/project management, marketing or e-commerce will be a plus Proven analytical skills and demonstrated ability to manage the business by the numbers . Excellent written and oral communication and presentation skills. Ability to express thoughts logically and succinctly. Demonstrated active listening skills, highly consultative and solutions-oriented Operate in a fast-moving and sometimes ambiguous environment with full control and responsibility of achieving business objectives Develop original ideas, approaches, and solutions to typical, unusual or difficult situations or problems Ability to work in teams and ultimately focus on delivering results with high standards Attention to detail and capability to work on multiple projects in parallel Lean Six Sigma experience. MBA/PGDM qualification.

Key Responsibilities: Plan, execute, and optimize performance marketing campaigns across Google Ads, Meta, YouTube, programmatic platforms, and affiliate channels. Own the paid acquisition funnel drive traffic, installs, conversions, and retention across web and app. Work closely with content and creative teams to develop high-performing ad creatives and messaging strategies. Monitor, analyze, and report on campaign performance ROAS, CAC, CPI, CPL, and other relevant KPIs. Collaborate with analytics and product teams to optimize landing pages, onboarding flows, and user journeys. Manage budgets and allocate spends based on performance metrics and growth objectives. Requirements: 2-6 years of hands-on experience in performance marketing, preferably in a B2C Proficiency in running large-scale campaigns on Meta, Google Ads (UAC), DV360, and other paid platforms.

Search Engine Optimization (SEO),Content Marketing, Social Media Marketing (Organic),Analytics & Reporting, Email Marketing (Organic Growth),Content Distribution & SEO Amplification, Strategic Thinking & Patience.

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Key Responsibilities: 1. Data Engineering Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications Skills: Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray).

E-Commerce Specialists are responsible for managing and coordinating e-commerce activities to drive awareness, new customer acquisition, engagement and revenue for a company.

JOB DESCRIPTION Role: Digital Marketing Executive Reporting to: Manager / Dy Manager Qualification: Graduate or above Position summary: We are seeking an experienced and results-oriented Digital Marketing Executive with a strong background in social media marketing and digital campaign management. The ideal candidate will be responsible for creating, executing, and optimizing digital marketing strategies to enhance brand visibility, drive engagement, and generate leads. Key responsibilities include managing social media platforms, running paid campaigns, analyzing performance metrics, and staying up to date with the latest digital trends. The candidate should be able to work independently and bring creative ideas to support the companys online presence and marketing goals. Skills required: Basic knowledge of digital marketing, Creative thinking. Excellent written and verbal communication skills. Key responsibilities: ¢ ¢ ¢ ¢ ¢ Influencer campaigns management. Conduct keyword research and link building activities. Coordinate with agencies and teams for video shoots and edits. Proven experience in digital marketing, social media marketing, and website management. Digital Marketing Activities: Develop, implement, and monitor digital marketing campaigns. Optimize performance through ongoing analysis. ¢ ¢ Created social media post, Banners, and other visual content the aligned with the brand guidelines. Monitor performance metrics and report key insights. Office Address: 215, Atrium, A001 Ground Floor, Next to Courtyard Marriott Hotel, Andheri Kurla Road, JB Nagar, Andheri(E), Maharashtra 400093-India +91-22-28343000 l info@ratanplastics.com l www.ratanplastics.com

Plan, execute, and optimize SEO strategies Run and manage Google Ads and Facebook Ad campaigns Monitor online marketing metrics and report campaign performance Stay updated with digital marketing trends and best practices

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Key Responsibilities: 1. Data Engineering Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications Skills: Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray).

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Key Responsibilities: 1. Data Engineering Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications Skills: Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray).

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Key Responsibilities: 1. Data Engineering Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications Skills: Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray).

Were hiring an eCommerce Account Manager to manage listings, ads, and sales on Amazon, Flipkart, and our D2C site. You'll drive growth through smart strategy, performance tracking, and marketplace management. Minimum 2 years’ experience required.

e-commerce manager, Noida Sec58 Export house 4/5yrs exp as e-commerce lead, e-commerce operations, manage e-commerce platform, Amazon and Shopify exposure must. ecommerce tools, social media, product listing, catalogue, platform management bags, bag