Fiarano consulatants

Looking for candidates only with tier 1 colleges OR have experience in a product-based company.

You will be designing front-end architecture with architectural guidelines in mind (secure,high-performing, scalable, extensible, flexible, simple).
● Architect, Design and develop front-end applications.

Desired Skills
● Minimum 4+ years of coding experience.
● Proficiency using modern web development technologies and techniques, including HTML5, CSS, JavaScript, etc.
● Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
● Programming experience with at least one modern framework such as ReactJS or VueJs.
● A strong product design sense.
● Understand end user requirements, formulate use cases and come up with effective solutions.
● Good understanding of REST APIs and the web in general.
● Ability to build a feature from scratch & drive it to completion.
● Excellence in technical communication with peers and non-technical cohorts.
● Ability to learn and work independently and make decisions with minimal supervision

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.

Brand Integration
About The company:
NoBrokerHood started in the year 2018, aimed to make life more convenient and secure for residents in any
housing society. NoBrokerHood offers a plethora of services and features which enables its customer, as a user, to
manage multiple activities inside residential buildings, housing societies, and gated communities. From finding
domestic help to monitoring visitor entry and maintenance or utility bill payment, it’s all done from your phone. It
also further strengthens the safety of your society by keeping visual and digital records of all entries and exits –
accessible anytime and anywhere – and automates staff entry through a facial recognition or biometric process
About the role:
It is about generating sales and solving customer's problems with regards to marketing/advertising. You will work as
an extended marketing arm of the brands and all the actions strongly exhibit a Customer-First approach. The
primary role is to identify potential brands/companies, onboard new clients, and ensure the retention of the existing
ones. In the process of onboarding and retention, you are also exposed to campaign planning and execution based
on the client's brief.
• What makes this role interesting?
• Complete understanding of Sales
• Exposure to a variety of clients from different industries
• Get to work with the marketing team of various companies (small, mid, large)
Job Description
The role has 2 distinct areas of responsibility:
• Day to Day work
• Relationship Management
You Are Expected To
• Identify new brand/company basis trends, market knowledge, current advertisers
• Reach out and make connections with identified brand/company
• Understanding clients business, identifying their marketing problems, and collecting the marketing campaign
brief
• Plan the advertising campaign basis the brief and get a go-ahead from clients to execute the advertising
campaign
• Collaborate with internal teams to ensure that the campaigns are performing/executed as per the commitment.
• Coordinate with clients for smooth flow of work and reporting of ongoing advertising campaigns
• Ensuring that the monthly/yearly revenues targets are being achieved
• Preparing Daily Task Reports
• The work hours are equally split between - answering emails/calls and campaign execution & campaign
planning
Relationship Management
• Forge strong business relationships with the clients
• Build a culture of high performance & innovation in the team
• Experience and skills required
To be successful in this role, you’ll need to have the following skills:

• Communication: Excellent communication skills in English.
• Agility: Ability to change according to business requirements.
• Motivation: Demonstrate a positive, ‘can-do’ attitude. Willing to roll up your sleeves and
get things done.

• Data-driven: Keen interest in analyzing performance data and transforming it into actionable strategies.
• Growth-driven: Keen to grow as an individual.
Benefits
• Performance Bonus
• Private Health Insurance

Looking to hire for a contractual role.
Period: 6 months+
JD:
● 4-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc.

● Working knowledge of building websites and apps. Good understanding of integration complexities and
dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.

Exciting opportunity for any contractor to work with a start-up firm which is into product cum service based industry. We are looking for someone who has got rich experience in below mentioned skills to join us immediately.

This role is for 1 month where the person will be working from Client site in Paris to understand the system architecture and documenting them. Contract extension for this role will be purely on the performance of individual. 

Since the requirement is immediate and critical, we need someone who can join us soon and travel to Paris in December

- Hands on experience handling multiple data sources/datasets
- experience in data/BI architect role
- Expert on SSIS, SSRS, SSAS
- Should have knowledge writing MDX queries
- Technical document preparation
- Should have excellent communication
- Process oriented
- Strong project management
- Should be able to think Out of the Box and provide ideas to have better solutions
- Outstanding team player with positive attitude

Job Description :When you wake up in the morning, do you go to work in an environment where you utilize cutting edge tools/technologies and analytic practices? Would you enjoy solving complex problems with a business that values your contributions? Is innovation a regular practice in your daily life?. If 'No' Give a thought to work with - smartData EnterprisesKey Skills Required : Cake PHP, Mysql, Jquery, API (Restful Service) CakePHP, Laravel, CodeIgniter. Here is an opportunity for a techie who will take care of the page layout, the design and the entire coding of the website in PHP format.Essential Responsibility Includes :- Integration of user-facing elements developed by front-end developers.- Build efficient, testable, and reusable PHP modules.- Solve complex performance problems and architectural challenges.- Integration of data storage solutions.- Advanced knowledge of building Content Management Systems, either from your own design or from frameworks such as , CakePHP, Laravel, CodeIgniter

Job Description • Exposure on tax related tasks across the globe -(International Taxation) • Knowledge on US, European Tax Structure (Multiple Countries) • Tax Automation/Adjustments (Global, Domicile, Entity) Process • Knowledge on Tax Jurisdiction concept • Differed Tax Calculation, Tax Provision & Tax Returns • Knowledge of Accounting Standards (IFRS,USGAAP & IND AS) related to Accounting for Income Tax • Deep knowledge on computation components i.e.PBT, PBIT, Federal/National and State/Regional Tax, Permanent Difference, Temporary Difference (Deferred Tax Assets & Deferred Tax Liability) Deferred Tax Not Recognized (DTNR), Return to Accrual (RTA),Book Profit & Tax Profit, Differed Tax Roll forward (DTR), Effective Tax Rate (ETR),Logic of Pull, Movement & Squeeze, True-up, Allowable/Disallowable expenses, • Assisting clients with their implementation of specific international tax structures and processes • Complex Tax Computation projects for clients in diverse industries • Demonstrates required knowledge and, in addition, an understanding of client’s organization and business/regulatory environment