Accounts Execitive (1-3yr)

Roles and Responsibilities

• Write fresh, original in-house long-form SEO content for blogs, landing pages, and website pages
• Conduct keyword research to support SEO-driven content strategies
• Create long-form content such as blogs, guides, and thought leadership articles
• Support the sales team with pitch decks, sales email templates, etc.
• Plan and write content for social media platforms, short-form content, and content management
• Design and write email campaigns for lead generation
• Bring new, bright, and creative content ideas to the table
• Maintain a strong eye for detail in grammar, tone, and structure
• Rewrite, update, and optimize existing content
• Produce SEO-optimized content aligned with search intent
• Collaborate with marketing and SEO teams to improve content performance, impressions, and rankings.

Required Skills and Tools

• Strong writing, editing, and proofreading skills
• Clear and confident communication skills
• Experience or working knowledge of SEO content writing
• Familiarity with tools like SEMrush, Google Analytics, and Google Search Console
• Experience using WordPress for content publishing is a plus
• Ability to write both long-form and short-form content
• Understanding of content optimization for search engines
• Basic knowledge of copywriting principles

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
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Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
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Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
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Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

• Design and driving learning strategy and charter for company, inline with business priorities.
• Provide a responsive, effective and efficient centralized- Learning and Development (L&D) function within the newly established Centre of Excellence (CoE) providing a range of Learning and Development services across functions.
• Foster a culture of continuous-learning through various interventions, and providing access to curated, relevant content to the team.
• The incumbent will aggregate and support the delivery of the L&D strategy and the development of the L&D offerings across company
• Design and execute learning journeys for specific cohorts such as high potentials, leadership, any identified critical roles/functions
• Ownership of associated metrics and data for learning & development, and talent processes
• Working in close collaboration with internal and external stakeholders to deliver the learning needs of company.
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You will be responsible for developing features on the application and integrations end to end. You will be working closely with the Technical Team to come up with high-quality, resilient, and highly performant applications.

• Design and develop SaaS-based applications based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• API and Integrations.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
• Work on the front end with ReactJS is a plus point.

• An enthusiastic individual with the following skills. We are open to promising candidates who are passionate about their work and are team players.
• A subset of the below skills should be fine as long as you are good.🙂
• OAuth, API Integrations.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, CouchDB, DynamoDB, Clickhouse, Kafka
• Backend exposure – good knowledge of building and integrating APIs
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Excellent knowledge and understanding skills on OAuth.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for functional/technical track of a project.

You will closely work with the engineering team and support the Product Team of Compass.

A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. Xoxoday works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

• Conduct market research to identify selling possibilities and evaluate customer needs
• Actively seek out new sales opportunities through cold calling, networking and social media
• Set up meetings with potential clients and listen to their wishes and concerns
• Prepare and deliver appropriate presentations on products and services
• Create frequent reviews and reports with sales and financial data
• Ensure the availability of stock for sales and demonstrations
• Participate on behalf of the company in exhibitions or conferences
• Negotiate/close deals and handle complaints or objections
• Collaborate with team members to achieve better results
• Gather feedback from customers or prospects and share with internal teams