QA Engineer

Strong Full-Stack Engineering Profiles (Python + React)

Mandatory (Experience 1) – Must have a 2+ YOE in Full-stack development using Python (backend) and React.js (frontend)

Mandatory (Experience 2) – Must have strong hands-on experience in cloud platforms - AWS or GCP

Mandatory (Education) – B.Tech / M.Tech in Computer Science or IT (BCA / MCA also acceptable).

Mandatory (Company) – IT Services/ Product startup companies or niche consulting firms (e.g., ThoughtWorks, EPAM, Persistent, Happiest Minds).

Preferred

Preferred (Experience 1) – Exposure to serverless architectures (AWS Lambda) and CI/CD pipelines.

Preferred (Experience 2) – Understanding of modern DevOps practices, cloud-native deployments, and rapid prototyping.

What are the Key Responsibilities:

• Design NLP applications
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Develop NLP systems according to requirements
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks
• Remain updated in the rapidly changing field of machine learning

What are we looking for:

• Proven experience as an NLP Engineer or similar role
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
• Ability to effectively design software architecture
• Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms
• Knowledge of Python, Java, and R
• Ability to write robust and testable code
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like sci-kit-learn)
• Strong communication skills
• An analytical mind with problem-solving abilities
• Degree in Computer Science, Mathematics, Computational Linguistics, or similar field

 Strong experience in front-end design and development minimum 3+ Year to implement responsive, robust/secure, user-friendly/functional, network -sensitive web applications.  Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.  Experience with modern frameworks such as Nodejs, AngularJS Express  Experience in building API and WebSockets for client-server communication with security considerations.  Experience with server-side.  Experience with web services API integration (Rest, JSON, XML).  Ability to understand requirements and map to technical implementation.  Strong knowledge of best practices and modern web design trends is necessary.  Excel at rapid prototyping and at writing good code.  Experience with modern version control.  (GIT or BitBucket).  Experience with testing/debugging in multiple platforms.  Experience with HTML CSS frameworks such as bootstrap.  Understanding of general user experience and UI design principles.  Agile methodologies.  Self-motivated, thinking up and executing own ideas. 

Desired Candidate Profile Below are the qualifications and skills that are expedcte of a full-stack developer:

 Bachelor’s degree in computer science, engineering, or a related technical field  Excellent knowledge of front-end web programming languages, such as HTML, CSS, JavaScript, and AngularJS, with ability to render server-side and client-side content  A working knowledge of shopify app development with technologies, Node, Javascript, React, HTML, CSS3, AWS etc and MongoDB or relevant databases.  Familiarity with common programming design patterns and best practices  Experience with common web development tools and services, such as version control software, package managers, and CI/CD pipelines  Excellent written and verbal communication skills  Expert in JavaScript, DOM, CSS3 and HTML

• Creating cost effective, scalable, agile processes that can cater to increased production requirements
• Creating and executing the production plan
• Collaborating closely with the Business Analyst(s) and the Merchandiser(s) for the same
• Ensuring that the manufactured apparels (both inhouse and at vendor site) meet the quality benchmarks
• Bringing in more robust quality measures to the entire production process
• Motivating and upskilling his teams and ensuring smooth communication and collaboration at all times
• Ensuring complete and timely handoffs amongst teams to ensure the manufacturing is as per plan
• Ensuring that the vendors are able to fulfill the manufacturing requirements on time and that there are no delays on their front because of capacity issues
• Creating stringent processes related to vendor allocation and follow ups to ensure timely delivery
• Partnering with internal teams such as Merchandisers, Technology, Finance, HR, Legal etc
• Ensuring that the processes and their interface with technology stays updated with changing times
• Submitting production cost estimates and ensuring the Purchasing Orders are issued on time
• Ensuring cost optimization and ensuring strong fiscal controls are in place across the production process
• Driving a strong execution culture within his team so as to ensure that delivery is as per the production planned/ launch plan
• Communicating terms and conditions applicable to all external partners related to Production and ensuring adherence to the same
• Introducing best practices to the organization

Desired Candidate Profile

• 10+ years of relevant experience (preferable)
• Planning skills
• Strong excel skills
• Understanding of block prints and supplier/vendor networks- Should also come with his/her own network in place
• Cost cutting abilities
• Strong process orientation and inclination for documentation
• Customer FIRST Mindset
• Good communication Skills (Fluency in English is not a mandate)
• Strong Interpersonal Skills
• Stakeholder management and people management skills
• Vendor Management
• Strong prioritization and organising skills
• Ability to get work done through others
• Ability to multitask
• Prior experience as an Operations/ Production Manager for a manufacturing concern preferably in an ecommerce set up
• Experience in handling large internal teams as well as a large vendor network

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.