Associate/Sr Ass-Info Security

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.

SeenIt is looking to hire php/lamp developers who can hit the ground running in terms of coding. You will have the chance to work with accomplished co-founders with strong business backgrounds and acumen along with a strong network. We would welcome someone who : 1. Loves to write clean, well designed code  2. Can troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality  3. Is inclined to contribute in all phases of the development lifecycle and takes end to end ownership of the project  4. Follows best industry practices and develops and deploys new features to facilitate related procedures and tools if necessary Requirements : - 1.5+ years experience in developing web-based applications in MVC architecture - Codeigniter Preferred - Good knowledge of Mysql and query optimisation - Experience with PHP 7, HTML5, AJAX, JavaScript, JQuery, CSS, MVC frameworks (Bootstrap), API - Should have basic Server Knowledge - AWS Preferred - Experience with Ubuntu OS is a plus Job Perks Why should you work with us? 1. We're a relaxed group and don' t take ourselves too seriously 2. We're creative and want to change the world while we're at it 3. We work internationally - with partners around the globe 4. Weekly mixers, flexible timings 5. Team lunches and outings are more frequent than team meetings

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Experience

Experience Range

5 Years - 10 Years

Function

Information Technology

Desired Skills

Must have Skills:  SQL Hard Skills for a Data Warehouse Developer:   Hands-on experience with ETL tools e.g., DataStage, Informatica, Pentaho, Talend Sound knowledge of SQL Experience with SQL databases such as Oracle, DB2, and SQL Experience using Data Warehouse platforms e.g., SAP, Birst Experience designing, developing, and implementing Data Warehouse solutions Project management and system development methodology Ability to proactively research solutions and best practice   Soft Skills for Data Warehouse Developers:   Excellent Analytical skills Excellent verbal and written communications Strong organization skills Ability to work on a team, as well as independently

Role : Technical Deliver Manager/Technical Director Skills: Full-stack experience with one or more web development frameworks (e.g. Angular/React/Ember/etc. on the front end, Django/Rails/Node/etc. on the backend) Expertise with Python, JavaScript, and SQL WHAT A TECHNICAL DIRECTOR WILL BE DOING - From the get-go, they will work with the existing team to develop and improve the platform and infrastructure, scale the customer-facing aspects of the product, finesse the operations vertical of the business, collect and store data for analysis and presentation, and design and build applications to use this data in various ways. Helps in the planning of the existing architecture and product deliverables, as well as the design and development of entirely new projects. Most of all, will be part of a team embarking on something new, different, and impactful at Licious. INITIAL RESPONSIBILITIES WILL INCLUDE: Partner with our Product Management team to define product specs and build prototypes to test hypotheses Lead a team of the backend, front-end, and mobile developers to ensure delivery of a scalable stack with testing frameworks and instrumentation appropriately factored in Architect the platform for scale and handling millions of transactions with low latency and low failure rates Improving our backend infrastructure and database schema to help Licious better utilize operations and customer data (including migrations, optimizing for performance, logging events and actions, improving the reporting and job management system, and improving our internal dashboards) Creating additional internal systems to expose this data to front end applications. Building entirely new applications to extract valuable insights from existing data Improving upon existing front end applications for optimizing the customer journey Improve the operations stack in the company to manage our processing and fulfilment centers NICE TO HAVES: Expertise with Python, JavaScript, and SQL Full-stack experience with one or more web development frameworks (e.g. Angular/React/Ember/etc. on the front end, Django/Rails/Node/etc. on the backend) Knowledge of modern web development concepts (e.g. RESTful services, MVC architecture, Agile development) An understanding of Supply Chain Management Prior experience in building ERP solutions in manufacturing environments Exposure to business theory, business process development, governance processes, management, budgeting, and administrative operations

Work on cutting edge technology and ad servers. Be a part of the worlds fastest growing industries – YOY Growth 55% 5 day work week Work with a young fast growing team. . Global expertise – work with clients and partners all across the globe Get a laptop on joining.