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SEO Team Lead Job Description

• Perform keyword research
• Develop keyword plans through conducting keyword research on a regular basis to generate content ideas and optimise existing content
• Plan and oversee the entire website architecture, restructuring page hierarchy where necessary
• Optimise web pages such as the homepage, landing pages, blog posts, product pages (on-page SEO) in terms of improving content quality, keyword optimization, and user experience to boost organic search rankings
• Conduct regular technical SEO audits and work with the web development team to fix technical website issues (e.g. slow page load speeds, page crawl errors, and duplicate content) that may negatively impact organic search rankings
• Conduct full-scale SEO audit (technical, on-page, and off-page) on both mobile and desktop website versions to provide recommendations for improvement in key areas such as keyword optimization on meta tags and images, content quality, and link building
• Implement local and international SEO techniques across local (Google My Business listings) and international websites
• Measure key SEO metrics such as organic traffic, ranking positions, domain authority and provide recommendations for improvement
• Perform competitive analysis to benchmark current SEO performance against competitors and devise strategies to surpass competitors
• Keep up to date with the latest SEO trends, search algorithm updates, and new SEO tools and best practices
• At least 1 years of experience as SEO team lead or similar role
• Digital Marketing Agencies experience would be preferred 

Why should you join us:

• · Fixed working timings- 5 days working
• · Attractive Incentives
• · Young & Vibrant work culture

• Job Location: Block A-128, Sector-63, Noida
• Salary Package: Depends on skills
• Working Days: Monday to Friday

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

The Team Lead – Sales & Counselling role carries complete ownership of team performance, target achievement, and revenue growth. The role combines people leadership, process discipline, and strategic execution while ensuring high-quality student counselling and compliance with company systems.

Key Responsibilities

• Lead, mentor, and monitor a team of student counsellors
• Own team-level revenue targets and performance metrics
• Conduct daily reviews, training sessions, and performance improvement interventions
• Ensure CRM accuracy, follow-up discipline, and policy compliance
• Coordinate with senior management on sales strategy and execution
• Drive sustainable revenue growth, team stability, and retention

We are looking for credit analysts who can help them perform threshold analysis and impact calculations to streamline their credit underwriting process. Hence, they are looking for people who have experience in doing similar or related work. Since this is an urgent requirement, your quick help is requested in filling this role.

Attaching sample profile as well.

Manager and SM - 25-50LPA

Skills: Credit analyst + SAS

Goot to have: Credit underwriting, EWS (Early warning signal),EBC regulations, IFRS9.

Level: SM or M ( 4+ years)

NP: Max 30 days.

Budget: max 45 LPA.

Loc: Pan India

Responsibilities:

• Credit Underwriting, credit appraisal process
• EWS analysis, IFRS9 staging, credit analysis, threshold analysis
• Querying and coding in SAS and SQL
• ECB regulations

Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers
• Develop entry level staff into valuable salespeople

We are looking for an ideal candidate who will lead our marketing activities. The mission of an Assistant SEO (Search Engine Optimization) Manager is to maximize the volume of inbound organic traffic from search engines to our business websites. This will be accomplished through a combination of on-page and off-page techniques, including link-building, social media strategy, viral marketing, metadata sculpting, site speed optimization, content strategy, information architecture, and more.

As Assistant Manager, you are responsible to lead the marketing team and suggest them the best marketing techniques for social media and other digital media campaigns. You should grab the attention of customers and market the products and services.

If you have the ability to utilize the organizational resources optimally for the business promotion activities, we would like to meet you.

Roles and Responsibilities:

• Reviewing and analyzing websites for areas that can be improved and optimized
• Preparing detailed strategy reports and Marketing Plans
• Identifying powerful keywords to drive the most valuable traffic
• Writing powerful calls to action to convert visitors
• Filling websites and other content with effective keywords
• Developing link-building strategies;
• Ensure that the website, promotional material, and marketing campaign strategy are updated regularly.
• Analyzing keywords and SEO techniques used by competitors
• Keeping updated on both white hat and black hat SEO strategies to avoid staying within search engine guidelines
• Build and execute social media strategy through competitive research, platform determination, benchmarking, and messaging and audience identification
• Develop, implement and manage the marketing strategy
• Designing and measuring the success of every marketing campaign.
• Stay up to date with the latest marketing practices and technologies.
• Collaborate with the Marketing, Sales and Product Development team Communicate with industry professionals and influencers via social media to create a strong network.
• Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our site
• Keyword research for the Addition of service based webpages on the website
• Ensure uploading of webpages on the Website through the SEO team.
• Perform Lead analysis daily to closely work for the end user needs from the website and to create campaigns accordingly.
• Experience in Email Marketing tools like Mailchimp
• Ability to plan Email calendars and schedule emails as per the plan.
• Guide the designing and content team for Email design and content along with other design and content-based changes needed on the website.
• Manage the ORM of the brand and work on creating a positive image of the Brand online along with mitigating the negative reviews.
• Closely coordinate with cross-functional teams to keep the website updated.

Job requirements and qualifications:

• Demonstrated SEO experience of at least 8-10 years.
• Strategic Understanding of Social Media and its usage in Marketing
• Experience with Google's Keyword Tool
• The ability to work with back-end SEO elements such as .htaccess, robots.txt, metadata, site speed optimization, and related skills
• Proven success in link-building and viral strategies
• The ability to deploy an effective local and long-tail search strategy
• Experience in building inbound organic search traffic and improving SERPs
• Expertise in Google Analytics, Google Search Console, SEMRush, Ahref’s
• Ability to make SEO proposals
• Ability to perform SEO Audit

• 4-15 year experience in Application Support
• Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
• Good to have knowledge in Agile, JIRA, Splunk, Service Now
• Good understanding and hands-on experience in Incident, Problem and Change Management
• Provide technical leadership to the team & contribute in the skill development within team
  Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities
• Good communications skills are necessary, must be team player and inquisitive.
• Strong customer service and support focus with a desire to deliver a high-quality service
• Ability to multi-task, work under pressure and to tight deadlines
• Flexible in working outside of office business hours at short notice (as required)
• Should be able to examine the system and identify the areas for Service Improvements & Value adds.

• Work with data science teams ,development teams and product managers to ideate
• software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software .
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software
• Capable to handle the individual module / Project

• 2-5 years of relevant experience as a Full Stack Developer or similar role
• Experience developing Web based,desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery etc).
•  Knowledge of multiple back-end languages (e.g. Java, Python,C#) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Experience in React.js .
• Experience in Python Django Framework .
• Familiarity with databases (e.g. MySQL,Postgresql, MongoDB), web servers (e.g.Apache) and UI/UX design .
• Familiarity with Cloud services like AWS, GCP.
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind

Well-established, Canadian company is looking for a representative in five different locations, as our business is growing. 

The person will be responsible for reaching out the immigration agencies to offer commission-based services, such as Travel, Visitor to Canada Insurance, financial services and many more.  

Preferred qualifications:

Intermediate English

Experience in sales

Financial services knowledge

Critical thinking 

Self-starting ability

KEY BENEFITS:

• Highly flexible, Work around your own schedule.
• Work from your laptop, from home or from the office. It is up to you!

We offer variable income—strong pay for performance incentive package.

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering