Brand Marketing Manager

Role & Responsibilities

• Develop high-quality, scalable mobile applications for Android platform using Kotlin.
• Collaborate closely with cross-functional teams to define, design, and implement new features.
• Write clean, efficient, and maintainable code, following coding standards and best practices.
• Optimise mobile app performance to ensure a smooth and responsive user experience.
• Conduct code reviews and provide constructive feedback to team members.
• Stay updated with the latest mobile development trends, tools, and technologies.
• Troubleshoot and debug issues to maintain application stability.
• Participate in the full software development lifecycle, from concept to deployment and support.

Develop clear, engaging content for websites, blogs, social media, emails, etc.

SEO Optimization

Ensure content accuracy, clarity &consistency

Assist in developing & executing content strategies

Use CMS to publish & update content

Analyze Performance

Description

6sense is a Predictive Intelligence Engine that is reimagining how B2B companies do sales and marketing. It works with big data at scale, advanced machine learning and predictive modelling to find buyers and predict what they will purchase, when and how much.

6sense helps B2B marketing and sales organisations fully understand the complex ABM buyer journey. By combining intent signals from every channel with the industry’s most advanced AI predictive capabilities, it is finally possible to predict account demand and optimize demand generation in an ABM world. Equipped with the power of AI and the 6sense Demand Platform™, marketing and sales professionals can uncover, prioritize and engage buyers to drive more revenue.

6sense is seeking a Python Developer to become part of a team designing, developing, and deploying its customer centric applications.

A Python Developer at 6sense will have the opportunity to

• Optimize components for maximum performance across multiple devices and browsers
• Write performant REST APIs for both internal and external consumption
• Build micro services and their deployment process
• Work with problems of scale, employ technologies that are distributed in nature.
• Perform code reviews

Required qualifications and must have skills

• BE/BTech/BS or equivalent
• Excellent analytical and problem-solving skills
• Proven-deep-expertise with Python programming (3 to 8 Years of minimum hands-on experience in Python).
• Hands on with Data structures & Algorithm programming.
• Experience in working with frameworks like Django, Flask, etc.
• Experience with building APIs and services using REST, SOAP, etc.
• Experience with any RDBMS and strong SQL knowledge
• Comfortable with Unix / Linux command line
• Object-oriented concepts & design patterns

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We are looking for an experienced Full Stack PHP Developer for immediate hiring.Candidate must have at least 1 years of experience in working on PHP based projects with MySQL backend. The ideal candidate should have the drive and passion to thrive in a startup environment. Should be involved in all aspects of the development cycle of a project. Skills Required:

• Strong experience in PHP with deep understanding of Codeigniter framework
• Working experience with SQL, table design, and entity relationships.
• Familiarity with relational databases mySQL or MS SQL Server
• Deep knowledge of how the web works (Servers, Sockets, HTTP, Rest API).
• Up-to-date knowledge of modern HTML5, CSS3/4, Bootstrap.
• Developing APIs and RESTful services
• Version control systems like Git and GitHub ·
• Proficient in data structures and algorithms.
• Helping with the design and development of software
• Testing and debugging software to keep it optimized
• Writing clean code for the front and back end of the software
• Creating servers and databases for the back end of the software
• Ensuring cross-platform compatibility and optimization
• Testing and maintaining the responsive design of applications
• Working with graphic designers to design new features

Education: Bachelor's Degree in Computer Science or any equivalent experience Experience: Minimum 1 years of experience.

Job Type: Full-time

• Work with stakeholders and fellow developers.
• Design and implement Python code using the Django framework.
• Identify and fix bottlenecks that may arise from inefficient code.
• Identify and fix software bugs.
• Create a wide variety of unit tests to verify the functionality of software.
• Manage the security of the platform.
• Write detailed documentation around the code.
• Knowledge of front end languages.

• Write and post technical job descriptions
• Source potential candidates on niche platforms, like https://resources.workable.com/tutorial/post-a-job-on-stackoverflow">Stack Overflow and Github
• Parse specialized skills and qualifications to screen IT resumes
• Perform pre-screening calls to analyze applicants’ abilities
• Interview candidates combining various methods (e.g. structured interviews, technical assessments and behavioral questions)
• Coordinate with IT team leaders to forecast department goals and hiring needs
• Craft and send personalized recruiting emails with current job openings to passive candidates
• Participate in tech conferences and meetups to network with IT professionals
• Compose job offer letters
• Onboard new hires
• Promote company’s reputation as a great place to work
• Conduct job and task analyses to document job duties and requirements
• Keep up-to-date with new technological trends and products

• Proven work experience as a Technical Recruiter or https://resources.workable.com/recruiter-job-description" target="_blank">Recruiter
• Hands-on experience with various interview formats (e.g. https://resources.workable.com/phone-screening-interview-questions" target="_blank">phone, https://resources.workable.com/skype-interview-questions" target="_blank">Skype and https://resources.workable.com/tutorial/structured-interview-questions-guide" target="_blank">structured)
• Technical expertise with an ability to understand and explain job requirements for IT roles
• Familiarity with Applicant Tracking Systems and resume databases
• Solid knowledge of sourcing techniques (e.g. social media recruiting and Boolean search)
• Excellent verbal and written communication skills

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology