IT Sales Executive – International Telesales

Web Developer Intern Require At Web Farm House Chokha. Web Farm Fouse is a startup and growing It Company.  Interns learn to apply responsive design, collaborate with teams, and contribute to projects using various web technologies. Interns might also troubleshoot issues, fix bugs, and learn to optimize code. 

• You will be participating in feature solutioning discussions and finalizing an approach aligned with requirements.
• Preparing HLD and LLD. Making reviews of design documents
• Exploring technology and hacking way through the specific problem to accomplish desired results.
• Owning a module and delivering it end to end.
• Working in a team and at times showing leadership by taking initiatives and guiding other
• You should have evaluated new technologies and introduced relevant as and when required.
• You should have built multiple systems ground up and maintained them working.
• You should have exposed to debugging client-side production setup under crisis.

We are looking for a Fullstack Developer experienced with Fullstack JavaScript, Cloud and IoT solutions. For the agile development of our web, mobile, and cloud applications and IoT products, building efficient, reliable and scalable solutions. A hands-on coding role, where you will build and manage your own team.

Tasks:

• Development of modern JavaScript-based applications in the back-end
• Development, implementation and optimisation of innovative IoT products, web apps and new features
• Technical product design, solution architecture, specifications and implementation of Livello solutions
• Work with a cross-functional team to define, build, test, and deploy universal applications
• Version control with Git is part of your daily work and continuous integration
• Ensure the implementation of technical standards, quality assurance and best practices.

Requirements:

• Bachelor's degree in Computer Science or comparable field of study
• 3-4 years experience in agile software development.
• Proficiency in Javascript, Node.js, TypeScript, Reactjs, Reactnative and Nest.js, MongoDB.
• Experience with GraphQL and docker as well as state management solutions (Redux, Saga)
• Experience with test and deployment automation (Gitlab, Fastlane, Jest).
• Experience with MongoDB or any equivalent Database.
• Ability to work cooperatively and independently, analytical thinking, willingness to lead and take on responsibility
• Fluent in English.

Nice to have:

• Experienced in IoT-to-Cloud managed services, Microservices, Kubernetes and Docker on GCP / AWS
• Knowledge of IoT device management and message brokers like AMQP or MQTT.

Benefits

• A responsible position in a fast-growing and highly innovative start-up
• An agile and diverse team with colleagues from all over the world, working with our main office in Germany
• English speaking open work environment, with flat hierarchies and short decision-making paths
• Advanced technology stack leveraging cutting-edge IoT hardware and software
• Creative freedom for own ideas, projects and personal development.

• Proven track record in running full sales cycles and closing business deals.
• Hands-on experience in winning new accounts as well as generating business in existing customer bases.
• Accurate forecasting and pipeline management skills.
• Deep understanding of the HubSpot platform.
• Experience in selling HubSpot services or similar SaaS products (an advantage).
• Stellar communication and relationship-building skills.
• Enthusiastic, outgoing, and driven to create value for prospects.
• Strong sense in creating value for the prospects.
• 1-3 years experience in selling B2B SaaS products

Company Overview:

We are a dynamic and rapidly growing organisation focused on revolutionizing the financial industry. Our innovative solutions combine cutting-edge technology with a customer-centric approach, providing businesses with streamlined financial services. As a Product Manager, you will have the unique opportunity to contribute to our growth, shape our product strategy, and make a significant impact in a fast-paced and highly collaborative environment.

Responsibilities:

• Lead the end-to-end product development lifecycle, including gathering and documenting product requirements, creating wireframes/prototypes, and collaborating with engineering and design teams.
• Work closely with development teams to ensure timely and high-quality delivery of product features and enhancements.
• Conduct user acceptance testing and gather feedback to iterate and improve product features.
• Monitor key product metrics, analyze data, and derive actionable insights to drive continuous improvement.
• Collaborate with engineering, design, marketing, and sales teams to ensure seamless coordination and alignment throughout the product lifecycle.
• Collaborate with executive leadership to align product strategy with overall business objectives.

Qualifications:

• Bachelor's degree in engineering, or a related field.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Strong communication and presentation abilities, with the ability to effectively articulate complex ideas to both technical and non-technical stakeholders.
• Ability to thrive in a fast-paced startup environment with a proactive and entrepreneurial mindset.

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

Experience: 3-5 Years 1 candidate & 1-3 Years 2 candidate

Skills:      

Core JAVA(Native), Core Kotlin, Sqlite, MySQL, XML

• Strong architecture and design skills and keen business sense. -
• Ownership of projects and technical areas. -
• Strong core server-side technologies experience (Java), database design & performance tuning exposure. -
• Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus. -
• Good knowledge of nodeJS/ noSQL a definite plus. -
• Good exposure to front end/UI skills (JS, HTML, Angular). -
• Good exposure to configuration management, testing, deployment. -
• Deep knowhow of data structures, algorithms. -
• Hands on development across technologies.
• Exp- 6-8 years.
• Qual- B.E/ B.Tech (Computer Science/ Equivalent) from a premier institute.