Sr. Media Strategist

Tableau Server Administrator (10+ Yrs Exp.) 📊🔒

📍Location: Remote

🗓️ Experience: 10+ years

MandatorySkills & Qualifications:

1. Proven expertise in Tableau architecture, clustering, scalability, and high availability.

2. Proficiency in PowerShell, Python, or Shell scripting.

3. Experience with cloud platforms (AWS, Azure, GCP) and Tableau Cloud.

4. Familiarity with database systems (SQL Server, Oracle, Snowflake).

5. Any certification Plus.

Job responsibility The Lead Developer contributes, to create a customer’s solution, in the building phase of the software development lifecycle. The Software Engineer is responsible for performing the detailed design of application and technical architecture components and classes in accordance to the specification provided by the Solution Architect, for coding of SW components, and for the early testing phases (component testing), and system testing support

Hands on experience in Java, Python, scripting
- Design, implement, deploy and support web-based applications and web services using server technologies stacks that include Java, MySQL
- Experience in Java/J2EE using web frameworks Play or Spring boot, REST API Development and ORM (JPA, Hibernate eBean etc.)
- In depth knowledge of Design patterns and Data structures
- Databases - MySQL, Oracle, SQL
- Solid understanding of concepts like Web Services, SOA, REST APIs, Message Queue, Caching, Distributed/Scalable Architecture
- Secure application development best practices, such as OWASP
- Document and maintain all design documents and involve in review process.
- Experienced problem solving and debugging skills.
- Good verbal and written communication and interpersonal skills
- Experience in Agile methodology is added advantage
- Knowledge of Cloud Knowledge /Azure
- Must know about Unix knowledge
- experience in Elastic search

Organisation: A Fintech startup in Mumbai.

Responsibilities:
● Work in close coordination with senior management to define strategy and targets for FI Partnerships
● Develop the pitch, collateral, presentations and other supporting material to adequately demonstrate risk/reward for the Financial Institution partners
● Generate leads pipeline (inbound and outbound) and implementation plan
● Lead and prepare presentations to Financial Institutions
● End to end management of the process for acquiring partners for the platformincluding conclusion of commercials, legal agreement, system integration etc
● Coordination with internal teams like Legal, Credit Risk, Product etc and with external teams of the Bank or Financial Institutions
● Progressively reduce financing cost profile across the platform and NBFC
● Work on arranging for debt funds for the NBFC from other Financial Institutions
● Work with Banking partners to actively participate in joint marketing and other efforts to drive customers both from open market and existing customers of thepartner
● Work with the external stakeholders to develop products and new markets, identifybusiness opportunities
● Track and improve on conversion from leads to closure
● Manage relationships and help resolution of issues in case of any with the Financial Institutions &Regular reporting of performance
● Develop deep relationships with Financial Institutions like Banks, NBFCs etc

Education: Tier1/ Tier 2 college candidates preferred.

Qualifications: knowledge of financial products (esp lending and credit) and regulatory environment

Ideal Experience in an NBFC, Bank (preferably on corp banking sales) or FI business development role in other Fintech companies

As a Social Media Specialist at Digeesell, you’ll get to work with our marketing team to help develop brand awareness about our company through social media.  

Your responsibilities at digeesell 

• Write long- and short-form social media messages that attract new users and engage current users. 
• Use data to analyze what’s working, what’s not, and reinforce or refocus key messages accordingly. 

• Wear many hats as you work with multiple teams to develop strategy, work with designers, write copy, manage social communities, and analyze data. 
• Help convert brand fans into loyal customers with engaging, responsive, responsible, surprising, and captivating social media interactions. 
• Design and monitor business performance goals to drive brand awareness. 
• Observe and analyze market and competitor trends. 
• Monitor the quality and integrity of products and services, and respond as needed to ensure brand alignment. 

• Strategize media plans for different platforms. 
• Client interaction 

        Required Candidate profile: 

• 1.5 + years of experience in the social media specialist role. 
• Excellent communication Skills 
• MBA in Marketing or similar background 
• Good Presentation skills 

• Excellent knowledge of Facebook, Twitter, LinkedIn, Instagram, other social media best practices 
• Working knowledge of popular social media scheduling and monitoring tool 
• Understanding of SEO and web traffic metrics 
• Critical thinker and problem-solving skills 
• Agency Background Preferred  

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.