Full-Stack Developer / Intern

Responsibilities: Design client facing UI. Implement front-end integrated with backend server. Create database for clients. Analyze clients requirements.

Qualifications: Experience with HTML, CSS, preferably UI frameworks like ReactJS, Angular. Experience with backend technologies such as Guice, Spring, NodeJS. Experience with database technologies such as MySQL, MongoDB.

Responsibilities:Design, develop, and maintain software applications to meet business and customer requirements.

Configure and optimize AI tools such as ChatGPT, MidJourney, and other advanced software for business solutions.

Develop custom modules and integrate software with various APIs and third-party platforms.

Monitor system performance, diagnose issues, and optimize software solutions for maximum efficiency.

Collaborate with cross-functional teams to define software requirements and create detailed technical documentation.

Provide technical support and guidance to customers and internal teams regarding software usage and best practices.

Stay current with industry trends, security practices, and emerging technologies related to AI and software development.

Qualifications:Strong knowledge of AI tools and their application in real-world scenarios.

Proficiency in programming languages such as Python, JavaScript, or Java, and familiarity with software development frameworks.

Experience with software architecture design, debugging, and optimization.

Familiarity with version control systems (e.g., Git) and development methodologies such as Agile.

Excellent problem-solving skills and ability to work independently or in a team environment.

Strong communication skills, both written and verbal, with the ability to translate technical concepts into clear language.

Responsibilities:Edit and produce high-quality videos, ensuring alignment with the brand's tone and storytelling objectives.

Work with raw footage to create compelling video content for various platforms, including promotional materials, social media, and advertisements.

Collaborate with cross-functional teams to understand project requirements and deliver videos on time.

Utilize advanced editing tools and techniques, including transitions, motion graphics, and special effects, to enhance video quality.

Maintain a consistent visual style and ensure videos meet technical specifications for different platforms.

Stay updated with the latest video editing trends and technologies to improve workflows and creativity.

Manage and organize digital assets, ensuring efficient storage and easy retrieval.

Qualifications:Proficiency in video editing software such as Adobe Premiere Pro, Final Cut Pro, or DaVinci Resolve.

Strong understanding of storytelling, pacing, and visual composition.

Experience with motion graphics and animation tools such as After Effects is a plus.

Familiarity with color grading, sound design, and audio editing.

Excellent attention to detail and ability to work under tight deadlines.

Strong communication and collaboration skills to work effectively within a team environment.

Responsibilities:Oversee the end-to-end planning, execution, and delivery of AI projects, ensuring alignment with business goals and timelines.

Collaborate with stakeholders to define project scope, objectives, and deliverables, while managing expectations.

Coordinate cross-functional teams, including data scientists, engineers, and product managers, to ensure seamless project execution.

Monitor project progress, identify risks, and implement mitigation strategies to keep projects on track.

Provide technical guidance and ensure that AI models and solutions meet performance and quality standards.

Stay updated on emerging AI technologies and trends, identifying opportunities to integrate them into projects.

Create detailed documentation, including project plans, reports, and post-project reviews, to maintain transparency and accountability.

Qualifications:Strong knowledge of AI technologies such as machine learning, natural language processing, and computer vision.

Experience managing technology projects using methodologies like Agile or Scrum.

Excellent organizational and problem-solving skills, with a proven ability to manage multiple projects simultaneously.

Familiarity with programming languages like Python and tools such as TensorFlow, PyTorch, or similar frameworks is a plus.

Exceptional communication and leadership skills to manage diverse teams and stakeholders effectively.

Understanding of data privacy and security practices related to AI projects.

Prompt Design & Development: Craft, test, and refine prompts for various AI models to enhance their effectiveness. Experiment with different prompt styles, structures, and techniques to optimize performance. Data Analysis & Optimization: Analyze user feedback and performance metrics to refine prompts and ensure quality outputs. Implement strategies to balance creativity with technical precision. Collaboration & Documentation: Work with product managers and data scientists to align prompts with user requirements and business objectives. Document prompt engineering best practices and assist in developing a prompt design framework. Innovation & Exploration: Research emerging trends and techniques in prompt engineering. Identify opportunities to apply new approaches or tools for improved results. 

We're looking for an SEO Specialist to join our team and help us improve search engine visibility, optimize content, and drive organic traffic. This role requires a blend of technical SEO knowledge, creativity, and analytical skills. Develop and execute effective SEO strategies to improve rankings and traffic. Conduct keyword research and optimize on-page content.

Deployment Strategy Development: Develop detailed deployment strategies and schedules to minimize client downtime. Ensure deployment processes align with both internal and client requirements. Testing & Troubleshooting: Conduct thorough pre-deployment testing to identify potential issues. Troubleshoot and resolve deployment errors, configuration problems, and performance issues. Security & Compliance: Ensure software deployment adheres to security standards and data privacy regulations. Implement access controls, encryption, and other security measures during deployment.