Content Writer

Basic Requirement :

node.js

•Writing web services REST and GraphQL using node.js frameworks such as express and node SDKs

•Develop low-latency, high-availability, and high-performance applications using node.js framework

•Develop using microservices architecture style and asynchronous using loopback

•Implementation of security such as web service authentication and data storage (such as database, key-value stores, and object storage) in the application

•No other fuss only code

Required Technical Expertise

•Strong proficiency in node.js, and AWS Lambda.

•Experience in PostgreSQL, MongoDB, Amazon SQS, Kafka, Amazon SNS, Dynamodb, and Firebase

•Experience in using node.js frameworks (such as express, StrongLoop)

•Experience in asynchronous programming and use of libraries in node.js

•User authentication and authorization in a microservices architecture

•Integration of multiple data sources and databases into the application

•Understanding of microservices and scalable architecture

•Experience in creating database schemas (SQL & NoSQL) for the applications

CRO & Funnel Optimization

Experience: 1-4y

Remote Mode of Work

Budget: 9 LPA

Skills:

B2B SAAS Marketer, Web Analytics, A/B Testing, Data Driven Tools (Google Analytics, Hubspot, SEMrush, Zoho Campaign, Google tag manager).

Roles & Responsibilities:

• Craft and implement data-driven CRO strategies, elevating website performance and boosting conversion rates.   
• Collaborate with SEO & PPC teams, breathing life into underperforming blogs/landing pages for improved SERP and MQLs.
• Conduct qualitative & quantitative research, uncovering insights to enhance website metrics and MQLs.
• Team up with Content, Sales, & PMM to align messaging with customer pain points and keyword intent.
• Bring design/layout changes to life with the designer and developer, optimizing user flows.
• Execute A/B and multivariate tests, recording experiments and tracking their impact on conversion metrics.
• Collaborate with the sales team to revolutionize downstream conversions, devising creative plans for MQLs to SQLs and enhanced closed-won percentages.

Requirements

• 1-4 years of CRO experience in B2B SaaS marketing.
• Strong communication & interpersonal skills.
• A/B testing and optimization proficiency.
• Understanding of user experience and content flow.
• Readiness for remote work.
• Project management skills, mastering multitasking and   meeting deadlines.
• Strong analytical & presentation skills.
• Critical thinking & problem-solving abilities.
• A relevant marketing degree or CXL certification in CRO is a  plus.

Skills:

• Knowledge and experience of B2B Lead Generation in IT services
• Experience of Cold calling
• A good knowledge and understanding of the technical aspects of the following:-

•  Microsoft Office and associated systems, including CRM 
• Social Networking (LinkedIn) 

•  Excellent communication skills and an excellent telephone manner 
•  Ability to work independently and under pressure 
•  Good verbal and written skills  
•  Good organisational skills and attention to detail  

Roles and Responsibilities:

• Generate new leads using cold calling, social media, and other relevant lead generation tools.
• Classify hot, warm, and cold leads based on their need, budget, and decision-making capabilities.
• Organise and keep the lead status updated in the CRM software
• Follow up on leads and conduct research to identify potential prospects.
• Promote the company’s products/services addressing or predicting clients’ objectives
• To use company databases to gain potential leads.
• Think strategically - seeing the bigger picture and setting aims and objectives in order to develop and improve the business
• Screens potential business deals by analysing market strategies, deal requirements, and financials.

1. Roles & Responsibilities -
   
   * We are looking for full-stack/back-end developers.
   * Our ideal candidate will be able to build applications from scratch and deliver
   a complete project i.e. understand requirements, design architecture, write reusable code that follows basic coding standards, test, deploy and support/follow-up features.
   * As a start-up, we are keen to work with people who are passionate about technology and who love the speed, chaos, and versatility of start-ups.
   
   Skills and Qualifications -
   
   * Team player with strong work ethic; Detail and deadline-oriented; Take ownership of tasks.
   * Good with version control systems like Git.
   * Professional understanding of CS fundamentals, data structures and algorithms.
   * Knowledge of Python is preferred.
   * Hands-on experience with front-end technologies - HTML5, CSS3, Bootstrap library & JavaScript/jQuery.
   * Knowledge of Angular 2/ReactJs is a plus.
   * Knowledge of Rest API is a plus.
   
   
   Perks -
   * Competetive compensation
   * MaBook
   * Friendly Leave Policy

Our client is a 4 decade old diversified business group with holdings in FMCG and hospitality. Their FMCG portfolio comprises of a well known mouth freshener and soon-to-be-launched confectionery products.

• Design, develop and manage data on various open-source SQL databases
• End-to-end performance tuning of Oracle, MariaDB, MySQL, PostgreSQL, and Aurora against very large data sets
• Database cluster connectivity and security
• Conduct database training
• Software installation and configuration
• Database patching and upgrading
• Using monitoring and management tools
• Troubleshoot various issues with other dba’s/developers
• Point of Contact for Vendor escalation
• Point of Contact for professional service to Customers
• Cross-platform migration from Oracle to MySQL/MariaDB/PostgreSQL/Aurora
• Support the creation, maintenance, and implementation of procedures regarding how problems are identified, received, documented, distributed, and corrected
• Ensures project documentation is complete, current, and stored appropriately
• Manages day-to-day project and scope changes
• Communicate and coordinate database changes, backups, and downtime to users
• Identifies potential security issues and recommend strategies to ensure database security
• Research and evaluate new technologies
• Proactively monitor systems for optimum performance and capacity constraints
• Establish standards and best practices for SQL
• Interact with and coach developers in SQL scripting
• Perform database backup and recovery
• Provides 24x7 support for enterprise database systems

• Must provide mentoring and training to other staff members
• Write procedural documentation including requirements for databases
• Develop and coordinate knowledge transfer
• Establishes enterprise-wide uniform infrastructure, including supporting defined departmental content processes and creating guidelines for content deployment
• Interacts with business units to gather, define, and organize the delivery of business solutions Data
• Modeling, design & implementation based on established standards
• Automate manual tasks

• Candidate with a college degree and relevant work experience
• 7+ years of hands-on DBA experience with Oracle, MySQL, MariaDB, and PostgreSQL and supporting tools
• Strong experience with Linux is required, including command-line editors, scripting (shell, Python, Perl, etc.)
• Experience in database performance tuning and strong SQL tuning skills
• Experience in database and cross-platform upgrades required Experience in all aspects of the software development lifecycle including requirements gathering, design, coding, testing and production support
• Must be familiar with RDBMS concepts, practices, and procedures
• Must have knowledge of network connectivity
• Extensive experience with Export/Import, Backup and Recovery
• Extensive experience with Database Replication Master/Slave, Master/Master (BDR)
• Extensive experience with MySQL (MariaDB, Percona) Galera cluster
• Experience with MaxScale
• Proficient in SQL Language
• Knowledge of ServiceNow, or similar Ticket Management Software
• Knowledge of SAN infrastructure including HP and NetApp
• Ability to work on projects at a time
• Knowledge of middle-tier application servers
• Strong troubleshooting and problem resolution skills
• Good knowledge of Data Modeling
• Knowledge of XML and JDBC

• Experience of NoSQL databases (Cassandra, Oracle NoSQL, MongoDB) is a plus
• Certifications on MySQL, PostgreSQL, and Aurora

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics