Sr. Data Engineer

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APPITSIMPLE
URL: https://appitsimple.com/about.

About the role:

You will own a functional area - from product conception to its delivery to customers. You are expected to design and code independently in multiple tech components related to your functional area. You must also develop a deep understanding of non-functional requirements, such as reliability and availability, scale, horizontal scalability, etc. over time to make tech stack decisions accordingly. You are expected to actively mentor junior engineers. You own

the codebase quality.

We are looking for seasoned engineers who are quality-conscious, product thinkers, business cognizant and smart. Engineers get to significantly amplify the impact of their work or creations with scale. The scale also demands that engineers to produce super-efficient solutions.

What you’ll do

• Strong experience with Java 8, Spring and Spring Boot, Spring MVC, Spring Data,
• Working experience in Microservices
• Version Control: Git
• Strong understanding of functional/reactive programming, OOP, design
• Experience with Docker and Kubernetes.
• SDLC: Working experience in Agile methodology
• Strong interpersonal skills and time management skills

What you’ll need

• B.Tech or M.Tech equivalent with at least 3 years of experience
• Deep expertise in at least one programming language & tech stack.
• Strong object-oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class-level interfaces
• Experience in building data-driven web application design and development is a plus
• Good understanding of multiple tech solutions and ability to pick the correct one for the given situation
• Prior work experience in an agile environment or continuous integration and continuous delivery (CI or CD)
• Ability and experience in designing high-level software designs of the scalable system, taking NFR (non-functional requirement) into consideration

Job Description 

We are looking for a reliable Administration Executive. He will undertake administrative tasks, ensuring the rest of the staff has adequate support to work efficiently. The ideal candidate will be competent in prioritizing and working with little supervision. The administration executive will ensure smooth running of our company’s office.

Key Responsibilities:

• Admin & daily office facility work
• Ordering Office supplies (stationery, pantry and other inventory)
• Maintenance & repair of Assets/Laptops
• Bills & payment records.
• Supervision & Staffing of the office.
• Tracking budget expenses.

Desired Candidate Profile:

• Good verbal and written communication skills.
• Technical bent of mind to isolate a problem quickly.
• Have proven experience in the same domain.
• Proficient with Microsoft Office, Excel software and phone systems.

Education-

Education: Any Graduate

• Building components for the companys advanced health-tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and presenting ideas and solutions effectively

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.

• A Bachelors or master’s degree in engineering.
• 2-4 years of experience in software product development.
• Excellent in Data structure, Algorithms & Problem-solving skills.
• Should be willing to code in Node.js/Java/Python/ROR/Golang
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Customer-focused, react well to changes, work with teams and able to multi-task.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment