Social Media Marketing Executive (1-2 yrs)

About the Role

We are looking for a detail-oriented and proactive QA Engineer with 2 years of experience in both manual and automation testing. The ideal candidate should have strong analytical skills, a passion for quality, and the ability to work in a fast-paced environment

Key Responsibilities

• Design, develop, and execute manual and automated test cases.
• Identify, document, and track bugs and defects using appropriate tools.
• Collaborate with developers, product managers, and stakeholders to understand requirements.
• Develop and maintain automation test scripts for web applications.
• Perform functional, regression, integration, and system testing.
• Ensure product quality through thorough testing and validation.
• Participate in sprint planning, reviews, and QA-related discussions.
• Continuously improve testing processes and frameworks.

Required Skills & Qualifications

• 2 years of experience in QA (Manual + Automation Testing).
• Strong understanding of software testing methodologies and SDLC/STLC.
• Experience with automation tools such as Selenium / Cypress / Playwright.
• Knowledge of programming/scripting languages like Java, Python, or JavaScript.
• Experience with test management and bug tracking tools (e.g., JIRA, TestRail).
• Familiarity with API testing tools like Postman or Rest Assured.
• Basic knowledge of CI/CD pipelines is a plus.
• Good analytical, problem-solving, and communication skills.

About the Role:

We’re looking for a curious and motivated NLP enthusiast to help us build and fine-tune Named Entity Recognition (NER) models tailored to our domain. In addition to NER, you’ll play an important role in developing ontologies that underpin our understanding of entities and relationships—so if you’ve used tools like Protégé or are excited to learn, this is your chance.

Responsibilities:

• Train and fine-tune NER models using frameworks like SpaCy, HuggingFace, or similar
• Preprocess text data and support annotation efforts using tools like Label Studio or Prodigy
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• Evaluating model performance and improving precision/recall
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• Adapting pre-trained models to domain-specific data
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• Develop and maintain domain ontologies using tools like Protégé
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• Refine ontology structure and concept hierarchy
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• Document experiments and share insights with the engineering team
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You Should Have:

• Familiarity with Python and NLP libraries (e.g. NLTK, SpaCy, Transformers)
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• Understanding of key NER concepts and evaluation metrics (precision, recall, F1-score)
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• Exposure to ontology development, semantic relationships, or ontology modeling (via coursework or internship)
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Experience working with text datasets, even academic ones like CoNLL or OntoNotes

What you’ll do here:

•Lead the technical implementation of our platform using Python for new and existing clients

•Collaborate with internal teams to deliver seamless onboarding experiences for our clients.

•Translate business use-cases into scalable, secure, and maintainable technical solutions

•Own the technical relationship with clients, acting as a trusted advisor throughout the implementation lifecycle

•Conduct code reviews, enforce best practices, and ensure high-quality deliverables

•Mentor developers and contribute to internal tooling and automation

•Troubleshoot and resolve complex integration issues across cloud environments

What you will need to thrive:

•8+ years of software development experience.

•Strong proficiency in Python (preferred), C# .NET, or C/C++.

•Proven track record of leading technical implementations for enterprise clients.

•Deep understanding of Pandas, Numpy, RESTful APIs, webhooks, and data transformation pipelines.

•Excellent communication and stakeholder management skills.

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

What you need to have:

• Minimum 2 years of data analytics and interpretation experience
• Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
• Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
• Strong marketing acumen to be able to translate data into marketing outcomes
• Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
• Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)    

What you need to have:

• He/She will be a part of a very agile short-cycle development with continuous integration in a dynamic start-up environment
• He/She will elaborate on technical concepts and actively integrate your own ideas and visions into the product
• He/She will do code reviews and support your colleagues in the daily business.
• Should have done Minimum three projects using any of these following technologies: Angular 2+
• Should have scored 7.0+ CGPA.
• Experience with building the infrastructure for serving the front-end app and assets
• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience