Graphic Design Internship

JD for Sales and Marketing: 

• Build and maintain strong relationships with architects, consultants, contractors, and developers.

• Prepare and deliver technical presentations

• Conduct market research to identify trends, competitor activities, and emerging technologies.

• Represent the company at trade shows, exhibitions, and industry networking events.

• Skills & Competencies

• Strong knowledge of facade systems, materials (glass, aluminum, stone, composites), and Building material.

• Excellent communication, presentation skills.

• MBA in marketing

• For Fresher training will be given .

Job Title : Senior Python Developer – Product Engineering

Experience : 5 to 8 Years

Location : Pune, India (Hybrid – 3-4 days WFO, 1-2 days WFH)

Employment Type : Full-time

Commitment : Minimum 3 years (with end-of-term bonus)

Openings : 2 positions

• Junior : 3 to 5 Years
• Senior : 5 to 8 Years

Mandatory Skills : Python 3.x, REST APIs, multithreading, Celery, encryption (OpenSSL/cryptography.io), PostgreSQL/Redis, Docker/K8s, secure coding

Nice to Have : Experience with EFSS/DRM/DLP platforms, delta sync, file systems, LDAP/AD/SIEM integrations

🎯 Roles & Responsibilities :

• Design and develop backend services for DRM enforcement, file synchronization, and endpoint telemetry.
• Build scalable Python-based APIs interacting with file systems, agents, and enterprise infra.
• Implement encryption workflows, secure file handling, delta sync, and file versioning.
• Integrate with 3rd-party platforms: LDAP, AD, DLP, CASB, SIEM.
• Collaborate with DevOps to ensure high availability and performance of hybrid deployments.
• Participate in code reviews, architectural discussions, and mentor junior developers.
• Troubleshoot production issues and continuously optimize performance.

✅ Required Skills :

• 5 to 8 years of hands-on experience in Python 3.x development.
• Expertise in REST APIs, Celery, multithreading, and file I/O.
• Proficient in encryption libraries (OpenSSL, cryptography.io) and secure coding.
• Experience with PostgreSQL, Redis, SQLite, and Linux internals.
• Strong command over Docker, Kubernetes, CI/CD, and Git workflows.
• Ability to write clean, testable, and scalable code in production environments.

➕ Preferred Skills :

• Background in DRM, EFSS, DLP, or enterprise security platforms.
• Familiarity with file diffing, watermarking, or agent-based tools.
• Knowledge of compliance frameworks (GDPR, DPDP, RBI-CSF) is a plus.

ob description

Business Analyst – Job Description

Exp =2+ year

1. Requirement gathering, Development, Requirement Analysis and documentation, Requirement communication, Requirement management and Testing. Work closely with the Business teams in gathering requirements, and getting it implemented in the system.

2. Designing and developing functional test cases, impact analysis, system integration testing and regression testing. Conducting UAT and documentation of test cases.

3. Support and assists with end user training and coordinates the implementation of these services for the Business.

4. Based on Testing Feedback from Business Users, plan go live dates for the developments.

5. Work with various user and support teams to manage technical/operational issues.

6. Raise the bugs and CRs to tech team and track till closure.

7. Produce periodic and ad-hoc reports for all stakeholders including leadership to monitor and ensure that projects comply with the governance framework.

8. Work closely with the vendor in getting the development completed on time and ensure adherence to quality standards.

9. Ability to multitask and work in a high pressure environment.

10. Excellent analytical, communication, presentation & interpersonal skills.

11. Ability to resolve customer/business issues and run the application management activities.

12. Willingness to go the extra mile to resolve customer/technical issues.

Job Types: Full-time, Permanent

Pay: ₹400,000.00 - ₹700,000.00 per year

Benefits:

• Provident Fund

Schedule:

• Day shift

Education:

• Bachelor's (Preferred)

Experience:

• BA in travel domain: 3 years (Required)
• Business analysis: 2 years (Required)
• total work: 2 years (Required)

Work Location: In person

Edtech sales

Job location Bangalore

6 days working

Mon to sat

10Am to 8 pm

6 months to 3 years experience required in edtech sales

• 5+ years of proven experience in Android application development.
• Deep understanding of the Android framework.
• A strong background implementing MVVM architecture in Android applications.
• Familiarity with third-party libraries such as RxJava, Dagger and Retrofit.
• Experience with Jetpack Compose a plus.
• Experience consuming RESTful APIs with Android applications.
• Comfortable working in a team environment following the Agile methodology.
• Understands Android UX and works closely with the design team to ensure UI designs are aligned with the current Android UI guidelines.
• Proficient in writing Kotlin code for all new development, with experience in working in Java.

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Here are some technologies you may find useful for web development:

- Vue.js for the front-end framework

- Laravel for the back-end framework

- PHP 7+ for server-side scripting

- SQL for database management

- Docker for containerization purposes.

This role requires you to work and collaborate with the customers, product & Engineering teams to meet and fit customer to our product. This role will be responsible for building technical project plans for Compass as well as tracking and driving the delivery of those projects. Additionally, the ideal candidate will be a driving force in the continuous improvement of our planning and execution pipeline. This role heavily involves mathematical and analytical skills, since you would be directly responsible to set incentives programs for customers and consult them over that.

• Strengthen and maintain relationship with the new & existing clientele.
• Partners with Product, Project Manager, and other business owners to define the business need for the project.
• Provides domain knowledge for project feasibility and software solution by researching customer needs and problem areas with internal/external stakeholders, understanding system flow, reporting need and regulatory impact.
• Coordinate with internal and external stakeholders to meet customer requirements and expectations. 
• Ensures problem definition, requirements, user stories, success criteria and interface design efforts.
• Understand and manages changing business and technical requirements.
• Support and contribute to stakeholders with information needed for publication and user training documentation.
• Delivers innovative and best value options to increase ease of implementation and outperform the competition.
• Ability to contribute to implementation/Onboarding process improvements
• Follows the company’s software development life cycle.
• Performs other duties as assigned.

• BTech or MCA or MBA required
• 2+ years of Business Analyst experience and in a customer facing role
• Good exposure to SAAS product.
• Exceptional soft skill, including the ability to talk with both technical and business concerns.
• Good Microsoft Excel which involves using Pivots and mathematical formulae
• Ability to think logically and constructively about complex problems.
• Must be able to work independently. 
• Ability to work effectively in team environment.
• Ability to conduct cost/benefit analysis.
• Ability to easily pivot from one task to another, including managing multiple project and timelines.

A wholesome opportunity in a fast paced environment that will enable you to juggle between concepts, yet maintain quality on content, interact and 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 in engaging and motivating 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. We however 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.