ResponsibilitiesPerform keyword research and competitive analysisAssist in optimizing website content, meta tags, and structureMonitor website performance using SEO tools (Google Search Console, Analytics, etc.)Collaborate with content writers and designers to improve user experienceStay up to date with the latest SEO trends and algorithm changesGenerate basic reports and suggest improvements based on dataQualification & Experience      Basic understanding of SEO principlesFamiliarity with tools like Google Search Console, Analytics, or any SEO plugin (Yoast, RankMath) is a plusStrong analytical and problem-solving skillsEagerness to learn and adaptGood communication and teamwork skills.

ResponsibilitiesAssist in designing, developing, and maintaining responsive websites using WordPress and Shopify.Customize themes and templates to match brand guidelines and campaign requirements.Collaborate with design and digital marketing teams to implement UI/UX best practices and ensure SEO-friendly structures.Support performance testing, bug fixing, and site optimization tasks.Integrate third-party tools such as tracking pixels, forms, payment gateways, and APIs.Regularly update website content, product listings, banners, and plugins/extensions.Ensure cross-browser compatibility and mobile responsiveness for all web pages.Assist in technical SEO tasks, website audits, and setting up tracking tools like Google Analytics and Search Console.Stay updated with web development trends and e-commerce technologies to recommend improvements.Qualification & Experience      Basic knowledge of HTML, CSS, JavaScript, and familiarity with CMS platforms like WordPress and Shopify.Understanding of responsive web design and cross-browser compatibility.Strong attention to detail and a willingness to learn.Good communication and teamwork skills.Passion for web development and digital innovation.

Qualification & Experience      Aptitude to independently learn new technologies, prototype, and propose solutions Excellent programming skills (preferably Python) Good knowledge of Linear Algebra, Probability & Statistics Good knowledge of key Machine Learning & Deep Learning algorithms including GenAI  Experience in a Unix/Linux environment for automating processes with shell scripting Basic Understanding of Cloud Computing & Application Development Behavioural Skills: Creativity and ability to formulate problems and solve them independently Highly collaborative work style Strong listening and communications skills Presenting & communicating information Result and quality focused  Experience on TensorFlow/ PyTorch for computer vision / speech / natural language processing applications. Experience working in Cloud, preferably Google Cloud Platform or Azure is a plus.  Hands on experience of designing or building RESTful APIs is a plus Experience in web frontend development (with JavaScript, HTML5), frontend web frameworks (Angular) and backend web frameworks (Django, FastAPI) is a plus  

ResponsibilitiesAssist in developing and maintaining backend services and APIs Write clean, scalable, and efficient code under the guidance of senior engineers Work with databases for data storage, retrieval, and optimization Support the integration of third-party APIs and services Participate in debugging, testing, and troubleshooting backend applications Contribute to system design discussions and backend architecture improvements Collaborate with frontend developers and cross-functional teams to build product features Help monitor application performance and resolve technical issues Follow coding standards, documentation practices, and version control processes Qualification & ExperienceStrong understanding of programming fundamentals and data structures Proficiency in at least one backend programming language (Python, Java, Node.js etc.) Basic knowledge of SQL and relational databases Understanding of REST APIs and web application architecture Familiarity with Git and version control systems Problem-solving mindset and willingness to learn new technologies Good to Have: Experience with backend frameworks such as Django, Flask, Spring Boot, Express.js, or FastAPI Knowledge of NoSQL databases like MongoDB Understanding of cloud platforms (AWS, GCP, or Azure) Familiarity with Docker, CI/CD pipelines, or microservices architecture Academic or personal projects involving backend development Basic understanding of authentication, security, and API best practices

ResponsibilitiesWebsite & Landing Page Development Build and maintain: Marketing website pages on WordPress with Elementor and custom PHP templates Campaign landing pages with form integrations (Gravity Forms, HubSpot, etc.) Microsites for events and campaigns Ensure pages are: High-performing and optimized for speed Mobile responsive across all devices and screen sizes Conversion-optimized with clear CTAs and lead capture flows Manage deployments on AWS Cloud infrastructure (EC2, CloudFront, S3) Growth & Conversion Optimization Work with marketing team to: A/B test landing pages Improve conversion rates Optimize user journeys Implement tracking, forms, and integrations for lead capture Set up and maintain Google Analytics, Google Tag Manager, and event tracking AI-Assisted Web Development Use tools like: Claude, ChatGPT, GitHub Copilot, Cursor Lovable, Webflow AI, Framer AI Generate, optimize, and iterate website components using AI Build faster using AI-assisted workflows for code generation, debugging, and documentation Agentic AI & Automation Experiment with: AI agents for website updates and content deployment Automated page creation workflows Content-to-page pipelines Build systems that allow marketing teams to scale website creation without developer dependency Collaboration with Marketing Work closely with: Demand generation Content Design teams Translate campaign requirements into live web experiences quickly Participate in code reviews and contribute to technical discussions on WebDev productivity Qualification & Experience Strong inclination toward Agentic AI Already using AI tools for coding, building websites, and automating workflows Builder mindset — enjoys creating and shipping fast High ownership, bias toward action, and drive Coachable and adaptable in a fast-paced environment Technical Skills (Basic Expectation) Frontend: HTML, CSS, JavaScript (React is a plus) CMS & Page Building: WordPress, Elementor (hands-on experience preferred) Backend: PHP fundamentals (custom templates, shortcodes, hooks) Cloud & Hosting: Familiarity with AWS Cloud (EC2, S3, CloudFront) or similar hosting environments Understanding of: Landing pages, forms, APIs, and integrations Databases (SQL and/or NoSQL basics) Basic SEO principles and web performance optimization

ResponsibilitiesDevelop new testers/critical optical components to meet design requirements for calibration and test. Participate in Pre flight calibration including geometrical, spatial and radiometric calibration, aberration characterisation, stray light test etc. Develop and lead alignment and integration of the payload to the bus Develop and deploy software that calibrates and tests imaging systems. Assist in Commissioning and in flight calibration Analyse volume data to provide mentorship on engineering decisions. Assist QA in formulating milestone based checks and verification procedures for the payload.Qualification & Experience    Experience with working in an optical laboratory and familiarity with optical metrology tools an advantage Deep understanding of imaging systems & camera technology. Mechanical/HW/SW problem solving and optimisation skill. Experience in lens characterisation methodology and calibration. Experience in image processing or software development, programming experience with C++ / Matlab / Python preferred. Exposure/knowledge about thermal properties, space-qualified materials and adhesives. Test plan, procedure, and report preparation for different environmental tests performed on spacecraft Well conversant with quality standards defined by different space agencies and organisations Excellent written and verbal communication skills Must be able to read and interpret data, information, and documents

Responsibilities Work on data collection, cleaning, and preprocessing Perform exploratory data analysis (EDA) to identify patterns and trends Build, train, and evaluate predictive models (regression, classification, forecasting) Support data modeling activities including feature engineering and model optimization Assist in deploying or integrating basic ML/AI models into applications or workflows Work with Python, SQL, and libraries like Pandas, NumPy, Scikit-learn Prepare dashboards, reports, and insights for business decision-making Collaborate with cross-functional teams to solve data-driven problems Qualification & Experience Strong basics in Python and SQL Understanding of statistics and machine learning concepts Knowledge of predictive modeling techniques Familiarity with data visualization tools (optional but good to have) Analytical thinking and problem-solving ability Good to Have: Exposure to time-series forecasting, NLP, or deep learning Experience with model evaluation metrics (accuracy, precision, recall, RMSE) Academic or personal projects in ML/AI or prediction models

Responsibilities Assist in the design, development, and testing of embedded software and firmware Collaborate with the engineering team to contribute to the development of cuttingedge embedded systems Learn and apply knowledge of embedded systems, programming languages, and software development methodologies Participate in code reviews and testing proceduresQualification & ExperienceBachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Currently enrolled in a Master's program in a related field Basic understanding of embedded systems and software development Master's degree in Electrical Engineering, Computer Engineering, or related fieldExperience with programming languages such as C/C++ Knowledge of hardware and software integration Passion for innovation and continuous learning

Responsibilities Analyze and interpret large datasets to identify trends and patterns Develop predictive models using machine learning algorithms Collaborate with crossfunctional teams to gather requirements and provide datadriven insights Present findings and recommendations to stakeholders Qualification & Experience Experience in data analysis and machine learning Proficiency in programming languages like Python or R Familiarity with data visualization tools such as Tableau or Power BI Pursuing a Master's degree in Data Science, Computer Science, or a related fieldStrong problem-solving and analytical skills Ability to work collaboratively in a team environment Passion for continuous learning and staying updated with emerging technologies

ResponsibilitiesData Analysis and Processing: Utilize Python, SQL, and Data Science tools like Pandas, NumPy, and Matplotlib to analyze and process large datasets. Model Development: Assist in developing and implementing machine learning models to solve specific business problems. Collaboration: Work closely with senior data scientists and AI experts to understand project requirements and deliver solutions. Research and Innovation: Stay updated with the latest advancements in AI and machine learning and contribute innovative ideas to ongoing projects. Documentation: Document processes, models, and results to ensure clarity and reproducibility of work. Support: Provide support in integrating AI models into production environments and troubleshooting any issues that arise. Good Communication: Effectively communicate with team members to ensure smooth project execution and report findings clearly. LLM Integration with Python: Work on integrating Large Language Models (LLMs) using tools such as Lang chain and OpenAI API within Python-based applications. Qualification & ExperiencePython: Proficiency in Python programming for data analysis and machine learning. SQL: Strong knowledge of SQL for database management and data extraction. Data Science Tools: Experience with data science libraries such as Pandas, NumPy, and Matplotlib. Analytical Skills: Ability to analyze and interpret complex datasets. Communication Skills: Effective communication skills to collaborate with team members and present findings.