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Role Overview:
The SEO Analyst is responsible for optimizing the organization’s online presence by improving search engine rankings, driving organic traffic, and enhancing user engagement. This role requires expertise in SEO strategies, analytics, and a strong understanding of mental health-related content to ensure alignment with the organization’s mission.
Key Responsibilities:
- SEO Strategy Development and Execution:
- Develop and implement effective SEO strategies to improve website rankings and increase organic traffic.
- Conduct keyword research to identify high-value terms relevant to mental health services and integrate them into the content strategy.
- Content Optimization:
- Collaborate with content teams to optimize on-page elements, including meta tags, headers, and keywords.
- Ensure that content adheres to SEO best practices while maintaining accuracy and sensitivity in mental health-related topics.
- Performance Monitoring and Reporting:
- Monitor website performance using tools such as Google Analytics, Google Search Console, and other SEO software.
- Analyze data to evaluate the effectiveness of SEO efforts and provide regular reports to the marketing team.
- Technical SEO Management:
- Conduct technical audits to identify and resolve issues affecting website performance, such as page speed, mobile usability, and broken links.
- Ensure the website is optimized for search engine crawlers and adheres to the latest algorithm updates.
- Competitor and Market Analysis:
- Conduct competitive analysis to identify trends, opportunities, and gaps in the market.
- Research emerging SEO techniques and tools to maintain a competitive edge in the mental health sector.
- Local SEO:
- Develop and manage local SEO strategies to enhance visibility in specific geographic areas.
- Optimize Google My Business profiles and manage location-based search strategies.
- Collaboration and Training:
- Work closely with content creators, developers, and social media teams to align SEO initiatives with broader marketing goals.
- Provide training and guidance to team members on SEO best practices.
Qualifications and Requirements:
Education:
- Bachelor’s degree in Marketing, Computer Science, or a related field.
Experience:
- 2–5 years of experience as an SEO Analyst or in a similar role.
- Proven experience in optimizing content for the mental health or healthcare sector is mandatory.
Skills and Knowledge:
- Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, and Ahrefs.
- Strong understanding of technical SEO, keyword research, and link-building strategies.
- Familiarity with content management systems (e.g., WordPress).
- Knowledge of HTML, CSS, and basic coding practices is a plus.
- Excellent analytical and problem-solving skills.
Personal Attributes:
- Strong attention to detail with the ability to manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Sensitivity and awareness when working with mental health-related content.
Key Competencies:
- Expertise in SEO strategies and best practices.
- Data-driven decision-making and performance analysis.
- Ability to adapt strategies to the unique needs of mental health-related audiences.
- Strong alignment with the organization’s mission to promote mental health awareness.
Key Responsibilities:
- Designing, developing, and maintaining AI/NLP-based software solutions.
- Collaborating with cross-functional teams to define requirements and implement new features.
- Optimizing performance and scalability of existing systems.
- Conducting code reviews and providing constructive feedback to team members.
- Staying up-to-date with the latest developments in AI and NLP technologies.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 6+ years of experience in software development, with a focus on Python programming.
- Strong understanding of artificial intelligence and natural language processing concepts.
- Hands-on experience with AI/NLP frameworks such as Llamaindex/Langchain, OpenAI, etc.
- Experience in implementing Retrieval-Augmented Generation (RAG) systems for enhanced AI solutions.
- Proficiency in building and deploying machine learning models.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
Preferred Qualifications:
- Master's degree or higher in Computer Science, Engineering, or related field.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
- Familiarity with big data technologies such as Hadoop, Spark, etc.
- Contributions to open-source projects related to AI/NLP
World's Largest Media Investment Company
Role - Manager Programmatic
About our client :
Our Client is a digital- first global performance marketing agency& world's largest media investment company which is a part of WPP. They a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.
Locations - Mumbai, Pune & Chennai
What your day job looks like :
- Manage a team of programmatic professionals with expertise in programmatic media
- Maintain positive client relationships, expectations, and communications
- Identify and solve client risks before they escalate to issues
- Oversee the cross-functional campaign development with internal SEO/Search/Content/Social teams as well as sister media agencies
- Build on existing level of programmatic expertise and develop a reputation for innovation and efficiency internally
- Ensure the integration of programmatic into the overall communications strategy
- Support and lead the strategic development and execution of programmatic campaigns
- Foster teamwork and create a constructive work environment
- Maintain a high level of employee commitment
- Provide team leadership that rewards creativity
- Demonstrate thought leadership for clients and the industry
- Educate clients on the importance of programmatic in the overall marketing mix
- Understand clients' business and generate new ideas to enhance client performance
- Provide effective analysis to support marketing recommendations.
What you'll bring:
- 4+ years of aligned industry experience, preferably within an agency
- Experience executing on Programmatic platforms (DV360, The Trade Desk, App Nexus (Xandr Invest), Amazon, etc.)
- Experience with analytical tools is an asset (Google Analytics, PMP Partners, Ad Servers, DMPs, etc.)
- Demonstrated strong client relationship responsibility
- Proven account management experience, including analytical and creative problem-solving skills
- Ability to interact in a professional manner and communicate with clients over calls
- Proven ability to lead successful campaigns
- Superior verbal and written skills with outstanding presentation ability
- High level of attention to detail and the ability to handle and prioritize multiple accounts
- High level of technical proficiency in Microsoft Office, specifically Excel and PowerPoint
- Come with experience of handling 6-7 direct reporters
- Knowledge on CAMPUS LAN Architecture and implementation
- Having exposure to Cisco’s latest technologies like SDA, DNAC
- Hand-on experience on designing and implementing Cisco SDA
- Strong Routing & Switching, Cisco SDA, DNAC, Cisco ISE skillset is a must.
- Hands On expertise on Cisco Prime, ISE, Cisco Meraki
- Hands on and troubleshooting SDA
- Experience on L 3
Dear Candidate,
Greetings for the day! Hope you are doing well.
Here’s the thing: we at MSys are looking for Senior UI Developer , someone who can play a pivotal role in shaping our future. This is an opportunity for you to really make a difference, and you’ll gather some incredible learning and benefits along the way. For example, we offer unique benefits, like a more competitive salary than other companies, a flexible working schedule, and so on.
Location: Chennai/ Bangalore/ Pune
Job description;
- Strong expertise in JavaScript concepts.
- Proficiency in HTML5 and CSS3, including preprocessors like SASS.
- Solid understanding of responsive design principles and cross browser compatibility issues.
- Experience with ReactJS, and Redux and its functionalities.
- Solid understanding of webpack, babel or similar module bundlers and transpilers.
- Experience working with RESTful APIs and asynchronous request handling, and integrating them into the front-end.
- Familiarity with Git and code versioning tools and agile methodologies.
- Ability to troubleshoot and solve complex technical problems.
- Excellent communication and collaboration skills.
All we’re asking at this stage is that if this opportunity excites you then please share your resume along with below asked details and you allow us to steal 15 minutes of your time for a quick discussion.
Current CTC:
Expected CTC:
Notice Period:
Total Experience:
We can’t wait to explore this further
at HeyMath
Java Developer Responsibilities:
- Designing and implementing Java-based applications.
- Analyzing user requirements to inform application design.
- Defining application objectives and functionality.
- Aligning application design with business goals.
- Developing and testing software.
- Debugging and resolving technical problems that arise.
- Producing detailed design documentation.
- Recommending changes to existing Java infrastructure.
- Developing multimedia applications.
- Developing documentation to assist users.
- Ensuring continuous professional self-development.
Java Developer Requirements:
- Degree in Computer Science or related field.
- Experience with user interface design, database structures, and statistical analyses.
- Analytical mindset and good problem-solving skills.
- Excellent written and verbal communication.
- Good organizational skills.
- Ability to work as part of a team.
- Attention to detail.
ML ARCHITECT
Job Overview
We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Creating automated anomaly detection systems and constant tracking of its performance
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Secure and manage when needed GPU cluster resources for events
- Write comprehensive internal feedback reports and find opportunities for improvements
- Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.
Skills and Qualifications
- Strong Hands-on experience in Python Programming
- Working experience with Computer Vision models - Object Detection Model, Image Classification
- Good experience in feature extraction, feature selection techniques and transfer learning
- Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
- Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
- Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
- Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
- Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
- Exposure to OpenCV Familiarity with GPUs + CUDA
- Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
- We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
- Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.