

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.
This policy covers the information you share with Skit (Cyllid Technologies Pvt. Ltd.) during the application or recruitment process including:
- 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.
Your information will be used by Skit for the purposes of carrying out its application and recruitment process which includes:
- 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.

About Vernacular.ai
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LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities:
Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams
Requirements:
Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

Responsibilities:
- Responsible for monitoring project deliverables on day to day basis
- Required to update relevant stakeholders or team members on the project's progress.
- Assist, train, and ensure project team members with tasks that you have assigned to them.
- Test the product modules and manage the change request, bug reports, etc.
- Assist project managers in the planning, execution, and monitoring of projects Develop and maintain project plans, timelines, and progress reports.
- Facilitate communication between intern stakeholders, clients, vendors, and management.
Qualifications:
- Bachelor's Degree or equivalent experience.
- 3+ years of relevant Project Management experience.
- Strong verbal, written, and organizational skills for documentation, user stories, etc.
- Proficient in MS Excel, and Presentation. Proficient in Jira, Confluence, and Notion is a plus.
- Excellent organizational and time-management skills.
- Strong communication skills, both verbal and written.
- Ability to work well in a team environment.
- Experience with project management tools and software.
- Ability to identify project risks and issues, and develop mitigation plans.
- You have 2+ years of experience with production GCP/AWS; Experience with Kubernetes is a plus
- You have conducted penetration testing using different tools like Backtrack and Metaspoilt
- You have experience in developing security training and guiding the internal development teams
- You design and implement best practices concerning information security
- You can create programs to implement Identity and Access Management
- You have to develop automated security testing.
- You have to triage security issues and provide recommended fixes.
- You have conducted vulnerability assessments using various open-source and commercial tools.
- You are an excellent collaborator & communicator. You know that start-ups are a team sport.
- You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
- You are excited by the prospect of working in a distributed team and company.
Role: Security Engineer
Title: Security Engineer SDE1
Location: We are open to candidates working from anywhere in India/across the globe. We are fully remote.
About Us
Requirements / Responsibilities
The ability for you to make an impact and lay a foundation for the upcoming fin-tech
innovations.
A multicultural and diverse team of colleagues from all over the globe
Mission-driven and fast-paced, entrepreneurial environment
Competitive salary and flexible leave policy
A collaborative and flat company culture
What do we offer?
What’s in it for you?
Do you truly want to make a difference and revolutionize the lives of millions of business
owners? Do you thrive in an environment where moving at light speed and embracing new
challenges every day is essential? If yes, our client is the perfect place for you!
Regards,
TA
Responsible for regularly generate and analyse Inventory reports for the assigned site location, Support site Finance team on analysis of Cost of Raw Materials and Production, Inventory Variance analysis, updating of valuation class, Create and Archive Monthly Journal Entries. Analysis of inventory transactions to ensure integrity of inventory value, COGS, and inventory adjustments & provisioning, purchase price variance, to ensure accurate financial reporting of inventory.
Communication and (internal) stakeholder management with higher management levels within the Global Teva organization is required in this process.
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- Hands on experience in Inventory analysis support site Finance leaders
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- Support of external and internal audit requests by providing inventory analyses
- Management of day-to-day operations relating to inventory accounting & analysis
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Participate in ad-hoc activities and projects
SKILLS/QUALIFICATIONS:
- University education in Accounting or Finance required
- ICWA / CA / MBA
- Minimum experience of 4+ years of inventory accounting & reporting experience
- Preferably familiar with USGAAP
- Working knowledge of internal controls
- Good working knowledge of SAP
- Good analytical skills and have hands on experience on inventory working & analysis
- Fluent verbal and written communication in English
- Experience in a multinational firm or within a GBS (Global Business Service) is preferred
- Hands-on and proactive; strong organizational skills
- Accustomed to working with deadlines, in a dynamic environment
- Results driven and service oriented to internal and external customers
- Excellent collaboration with colleagues within the local organization and with the colleagues of the global business service to support the overall Finance department’s goals and objectives
- Flexible and able to work in a changing environment
- Strong focus on improvement opportunities
- Want to work in a new (to be) established team
- Process documentations and certifications – will have to ensure that all process are appropriately documented and periodically certified by team members on regular basis
- The individuals must have hands on experience in preparing process flows


