Business development executive

A Bengaluru and San Francisco-based global neobank that aims to make financial systems and transactions across borders seamless. The startup has already grabbed $15 million in seed funding through Lightspeed and Accele VCs.

• Experience in mobile application development or frontend frameworks such as React.
• Managing successful engineering teams across both mobile and web application development.
• Deep knowlege in CSS methodologies like SCSS & SASS.
• Exposure in UI development like PWA, Single page app, Hybrid App, responsive web deisgn.
•  

Long Term Contract Job

The Company is looking for a Front End Developer to join our growing team in our
Costa Rica office. Your experience here will give you the opportunity to improve the
fundamentals and learn about the top-notch technologies in front end development. If you are
someone who is passionate about building stellar user experiences and great products through elegant code this would be the job for you. You will play a key role in translating our customers and company needs into appealing and functional web pages while proving your ideas with testing. We all work closely together across teams so there's no red tape or
bureaucracy. We get things done!

What You Will Get to Do

● Work with your team to improve our conversion rates by coding out variations for A/B testing
● Build better user experiences
● Rigorously educate yourself with the latest development techniques and best practices
● Proactively anticipate issues and develop solutions
● Clearly communicate solutions to team members both verbally and in writing documentation
● Implement new digital technologies or development techniques that help to meet business
objectives

What You Bring to the Table

● 3+ years of front-end development experience
● Experience with responsive web design and the ability to deliver outstanding functionality
to the range of client devices from desktops and laptops to mobile platforms
● Familiarity with at least one JavaScript framework (MVW) and know when to do without
one when necessary.
● Understanding of HTTP and how clients interact with a web server.
● Solid understanding of best practices. You read the YDKJS books.
● Capable of coding in ES5 and ES6 and understand the difference between them
● Up-to-date on HTML5 and CSS3 features.

Familiar with the MicroStrategy architecture, Admin Certification Preferred

· Familiar with administrative functions, using Object Manager, Command Manager, installation/configuration of MSTR in clustered architecture, applying patches, hot-fixes

· Monitor and manage existing Business Intelligence development/production systems

· MicroStrategy installation, upgrade and administration on Windows and Linux platform

· Ability to support and administer multi-tenant MicroStrategy infrastructure including server security troubleshooting and general system maintenance.

· Analyze application and system logs while troubleshooting and root cause analysis

· Work on operations like deploy and manage packages, User Management, Schedule Management, Governing Settings best practices, database instance and security configuration.

· Monitor, report and investigate solutions to improve report performance.

· Continuously improve the platform through tuning, optimization, governance, automation, and troubleshooting.

· Provide support for the platform, report execution and implementation, user community and data investigations.

· Identify improvement areas in Environment hosting and upgrade processes.

· Identify automation opportunities and participate in automation implementations

· Provide on-call support for Business Intelligence issues

· Experience of working on MSTR 2021, MSTR 2021 including knowledge of working on Enterprise Manager and new features like Platform Analytics, Hyper Intelligence, Collaboration, MSTR Library, etc.

· Familiar with AWS, Linux Scripting

· Knowledge of MSTR Mobile

· Knowledge of capacity planning and system’s scaling needs

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

Leaders at The Seenit Co. are passionate about using technology to create an impact on the world they live in. At Seenit, you will get to collaborate with an accomplished team that loves solving real-world problems. You will get to work on cutting edge projects that will shape the next phase of growth for the global luxury industry.

Seenit’s suite of products (http://www.styleade.com/" target="_blank">www.styleade.com) enables the leading luxury retailers around the world to transform their customer experience and build loyal relationships with their customers. The apps allow retailers to make use of their existing infrastructure and resources to deliver a truly omnichannel experience in today's rapidly changing world of shopping. The product has added 50 million USD to the top-line of one of the largest luxury retailers in the world. Store Associates and Stylists have assisted upwards of 100,000 consumers till date.

We would welcome someone to the team who wishes to:

• take ownership of the quality of code powering the product
• take an active role in the definition and evolution of best industry practices and procedures
• design, develop and test the core product software and databases to ensure strong optimization and functionality
• contribute in all phases of the development lifecycle
• support others to succeed and shine in a supportive team culture

Your application will require you to have:

• 4+ years experience in building consumer products
• experience of leading a team of 3 or more full stack developer
• Codeigniter Preferred 
• Good knowledge of Mysql and query optimisation
• Experience with PHP 7, HTML5, AJAX, JavaScript, JQuery, CSS, MVC frameworks (Bootstrap), API
• Experience with Ubuntu OS is a plus
• experience deploying softwares to cloud providers such as GCP, AWS

Minimum of 3+ years of marketing / marketing operations experience with integrated
CRM, direct-response and/or data-driven marketing with/for B2C, B2B or B2B2C
organizations
- Minimum of 1+ years in a leadership capacity defining strategies and plans that
improve and grow business outcomes
- Minimum of 1+ years of experience consulting, as a marketing strategist or defining
process and organizational design solutions in a business environment
- Minimum of 3+ years + experience working within a digital business or digital
agency
- Minimum of 3 years of professional services in digital business, or digital marketing
to include solutions for Fortune 500 clients,
- Bachelor's degree or equivalent (minimum 3 years) work experience
SET YOURSELF APART: Preferred Skills
Core management consulting skills including:
- Strategic skills: strong critical thinker, ability to architect solutions, and clearly
communicate strategic ideas in a clear, simple manner
- Subject matter knowledge in integrated marketing operations and processes with
expertise in understanding nuances of data-driven multichannel relationship
marketing organizations that cross web, mobile, social, email, and traditional direct
marketing channels and working with leading class digital platforms such as Adobe
- Experience leading and facilitating working sessions with both teams and leaders,
- Experience architecting, implementing and managing organizational change a plus
- Experience designing, developing and implementing marketing and digital
processes and ways of working that bring agility to teams, as well as rolling out new
organizational capabilities / Knowledge of digital marketing best practices and
leading measurements
- Ability to establish and grow long term trusted relationships over time. Being the
trusted ”go to“ person
- Proven experience leading teams to deliver quality results and outputs per agreed
timelines and plans
- Self-starter with strong organizational skills
- Willingness to learn new things, innovate and grow
- Able to collaborate across disciplines, teams and organizational lines
- Understanding of CRM strategic concepts and services

Core Responsibilities:

• Utilize established development tools, guidelines and conventions including but not limited to ASP.NET, SQL Server, HTML, CSS, JavaScript, and C#/VB.NET
• Prepare and maintain code for various .Net applications and resolve any defects in systems.
• Prepare test-based applications for various .Net applications
• Enhance existing systems by analyzing business objectives, preparing an action plan and identifying areas for modification and improvement

Essential Duties:

• Manage defect tracking system and resolve all issues and prepare update for systems
• Investigate and develop skills in new technologies
• Create technical specifications and test plans
• Monitor everyday activities of system and provide require support

Skill required:
Technical Skills

• Required experience in .Net Core 2.2 and above, Web API, EF, AWS or Azure Cloud
• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Snaplogic (both ground and cloud plex ) or Biztalk ( basic administration , simple xlt translations, and Api management ) or any other similar tool
• Update to .net 50 and Microsoft CORE 30 general coding practices
• Visual Studio use for C#
• Shared library through Nugget
• Unit Test / Test driven methods (use of Xunit and MOCK )
• Concepts of “;” service threading, caching, injection, NTier and entity 
• GIT repository (Gitflow branching strategies )
• Azure DevOps pull requests, commitments and Task usage
• SQL artifact writing (sprocs, tables, triggers , indexes, FKs ,and PKs)
• SQL understanding of relational database models

General Skills

• Should have good problem-solving abilities
• Should be able to troubleshoot issues and determine the cause of a plan’s success or failure
• Should keep up to date with changes in the market and technology that would affect
• Good interpersonal and communication skills
• Comfortable to work as per client requirements/time zones
• Should possess strong team handling experience

Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code.

This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 4 year in the industry.

Self-motivated individual who is looking to work with an inspirational leader. A person who believes in living a sustainable lifestyle and thrives to be a leader.