Application/Production Support Analyst

About the role

At Wittypen, we’re looking for a Digital Marketing Intern to join our client-facing team in Pune. This role offers practical experience in keyword research, content planning, SEO, and publishing, perfect for anyone serious about building a foundation in digital marketing.

What’s in it for you?

You’ll work alongside a team of professionals, getting hands-on experience while contributing directly to real projects. By the end of the internship, you’ll have improved your skills and gained valuable exposure to the industry. There’s also potential to join us full-time if everything clicks!

The Details:

• Stipend: ₹8,000–₹15,000 per month
• Duration: 3 months, with the possibility of a full-time role afterward
• Location: Pune (Work from Office)
• Schedule: 5-day work week

What You’ll Be Doing:

• Performing keyword research and competitor analysis to inform content strategies
• Creating and implementing content plans for clients
• Optimizing content for SEO to improve rankings and visibility
• Performing daily on-page and off-page SEO optimization tasks
• Publishing content and monitoring its performance using analytics tools

What We’re Looking For:

We’re looking for someone who already has the basics of digital marketing down. Maybe you’ve completed a relevant internship or worked on a project or two—what matters is that you’re not starting from scratch.

• Familiarity with SEO and digital marketing fundamentals
• Some experience—through an internship or personal projects—in the same field
• A detail-oriented approach and willingness to learn
• Clear communication skills

Preferred:

• Final-year students/freshers with internship experience eager to start their careers in SEO and digital marketing

This role is for those who want to execute, learn, and grow. You’ll get guidance when needed, but you’ll also need to take ownership of your work and be proactive.

If this sounds like the right fit for you, we’d love to hear from you!

Job Purpose and Impact:

The Sr. Generative AI Engineer will architect, design and develop new and existing GenAI solutions for the organization. As a Generative AI Engineer, you will be responsible for developing and implementing products using cutting-edge generative AI and RAG to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services in Cargill. You will bring order to ambiguous scenarios and apply in depth and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern practices and technologies to the shared engineering community.

Key Accountabilities:

• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.

• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

• Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.

• Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

• Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.

• Contribute to the establishment of best practices and standards for generative AI development within the organization.

• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

Minimum Qualifications:

• Bachelor’s degree in a related field or equivalent experience

• Minimum of five years of related work experience

• You are proficient in Python and have experience with machine learning libraries and frameworks

• Have deep understanding of industry leading Foundation Model capabilities and its application.

• You are familiar with cloud-based Generative AI platforms and services

• Full stack software engineering experience to build products using Foundation Models

• Confirmed experience architecting applications, databases, services or integrations.

• Contributing to the backend of the product development.
• Maintaining these applications for accuracy and high availability.
• Contributing to and enforcing great coding practices through code reviews.
• Sharing knowledge with your colleagues during regular knowledge Sharing sessions.
• Collaborate across functions and own the planning, estimation and execution for parts of the product.
• Continuously identify opportunities to improve system designs, architecture and implementation standards.

• Experience of architecting and building products/business critical backend applications using Ruby on Rails.
• Experience with relational databases like Postgres or MySQL.
• Experience of deploying and maintaining web applications.
• Exposure to cloud infrastructure like AWS, GCP etc.
• Familiarity with REST APIs and stress testing tools.
• Good communication skills.

QA Engineer - Automation:

We are looking for a candidate who will be an agent of change and who will drive and execute based on our Quality and Reliability Transformation Roadmap. He/She will be responsible for testing Education Service domains across platforms, automation of functional/regression and RFB (sanity) service test suites, Continuous Integration/Continuous Delivery pipeline and Shift Left methodologies. We will also expect the candidate to take ownership of a functional domain and play a hands-on role in the execution of testing for projects in this area.

The candidate should have extensive experience in testing, testing automation, testing leadership and software development. The candidate should be proficient in-service automation testing tools like Eclipse, IDNE, Jenkins, GIT hub. The candidate should have at least 4-8 years of service testing or software development experience.

The candidate should be flexible, highly adaptable and an excellent team player. The candidate is expected to work with Agile teams that consist of test analysts, developers, automation engineers and other stake holders. The candidate should expect to work in a global virtual team, sometimes across multiple time zones. The candidate may be assigned to more than one role or project at a time.  

QA Engineer - Automation Responsibilities:

• Create automation plan and delivery roadmaps
• Develop test automation solutions for applications across different platforms
• Adhere to existing standards; provide suggestion to improve and set new standards
• Participate in technical discussions with engineering teams to understand application architecture and API model
• Collaborate with QA Engineers and Software Developers to identify test automation scope and priorities
• Configure, maintain, and operate service test automation tools and frameworks
• Capture requirements and test cases, understand application features, analyse requirements and develop test automation solution with a view of the end to end application flow
• Design and create robust automated test scripts to address business and technical use cases
• Integrate test automation scripts with Continuous Integration and Delivery pipeline
• Communicate progress to the senior leadership on a regular basis
• Should have Education Service domain and application knowledge

QA Engineer - Automation Requirements: 

• A Bachelor's degree in Computer Science or related field
• 4-8 years’ experience working as a Service Test Automation Engineer
• Experience in collaborating effectively across a variety of IT and business groups, across regions, roles, and able to interact effectively with all levels
• Proven record of execution of QA strategy and unification of QA processes across organization
• Must have hands-on experience with Selenium automation using Java
• Working knowledge of any Relational Database and DB Queries.
• Working knowledge of tool and technologies like Jenkins, GIT, JIRA and ALM
• Well versed with approaches like BDD, Keyword Driven, Data Driven and hybrid Driven test automation.
• Good to have understanding of model-based testing.
• Understanding of Agile/Waterfall development process and is comfortable diving into the technical architecture of complex and highly scalable solutions
• Excellent leadership, communication (written and oral) and interpersonal skills. Experience in presenting to diverse audiences and conducting education and training.
• Have deep experience in defining and developing the service test automation framework.
• Development background is a major plus.
• knowledge of Rest, SOAP, MQ and microservices. (Nice to Have)

Job Description:

Working proficiency in developmental toolsets like Jira, Bitbucket, Splunk, Dynatrace etc.

Proficiency in Java/J2EE, Web Service, Micro service, Spring Boot, Kafka

Experience in developing, deploying and administering Java applications ,Java spring, Java Spring MVC, Spring Batch, Web services (REST and SOAP), HTML5, JavaScript, CSS, XML, Rest API, GIT, Tomcat.

Experience of Agile team working

REST API's & Spring experience is must. Spark experience is added advantage.

Regards,
Jyothi.

• Strong working experience in IOS application development is a must. First-hand experience of native mobile apps using Swift must.
• Experience with Swift, RxSwift, Swift UI, Unit test.
• Strong system design and architecture skills - specifically for IOS. Curiosity to tinker around, explore new paradigms and strongest for continuous improvement. Strong problem-solving skills.
• Understanding of network connections, Rest API'sand scheduling. Strong knowledge about security standards (e.g. HTTPS) and privacy standards.
• Idea/experience of the unit and instrumentation testing in IOS. Optimizing app performance and memory consumption.
• Leveraging community libraries to efficiently complete development tasks.
• Debugging apps using simulators and related tooling.
• Persisting data for offline-first apps using databases such as Realm.
• Localizing apps to support multiple languages and regions, vernacular libraries and fonts.
• Familiar with Version control system such as GIT.