Business Development Executive

.NET C# developer provides custom web application development using the .NET Framework, C#, http://VB.NET">VB.NET, http://ASP.NET">ASP.NET, SQL Server,Angular,AngularJS, Javascript, ADO.net and other advanced components of Microsoft technology and provide training to programmer analysts who support the web services manager' responsibilities.

 

Responsibilities:

 The tool development also involves working with SQL queries and web front end

Designing, developing, and testing web applications with .Net HTML, CSS and other technologies

Design and development of software applications (primarily web based) used in various areas of the bank (such as Loans processing, Treasury, Middle Office )

Manages the architecture, design, and coding of software for TFI from concept to finished product, in order to answer the needs of the Strategies, Sales, and Trading departments

Consults with end users within the Strategies, Sales, and Trading departments to identify where technology can automate current processes to enhance revenues and cut cost

Maintains currency in technical skills and all relevant fixed income industry sector factors

May lead the work of others and provide ideas which help to enhance TFI software applications

Software design & development principles such as SOLID, Domain-Driven-Design and Object-Oriented Development

ORM frameworks, particularly the Entity Framework

Managing source code with Git, including Gitlow Workflow

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.

We are hiring for BE/MCA/MBA Marketing Freshers/experienced with Engineering graduates from Electrical, Mechanical OR Electronics stream to work with our Product Management team.

- Primary role will be helping our customers to understand product requirement for software, and Electronics products, primarily in DEFENSE and Healthcare sectors
- It will also involves creating technical specifications and product description for online presentation.
You will get to work on new and disruptive technologies as how to commercialise the products and to fetch business in th services sector too. Additionally fetching details of new customers, understanding our products, services and mapping same with customers’ requirements and follow ups as to convert the lead.


Key Skills:
Intermediate MS Office/Internet.
Good research and logical skills.
Good Communication Skills
Ready to travel extensively

 

Desired Candidate Profile

What you need to have:

• Bachelor’s degree or Master's degree (from tier 1 college - IIT/NIT/IIM/XLRI/MDI/ Any other Tier 1 Colleges)
• 3+ years experience with 2+ years experience in digital marketing at a high growth app-based B2C organisation
• Strong quantitative mindset and data driven approach to digital marketing
• Expertise in excel-based data modelling and analytics tools
• Experience in handling mid to large scale monthly digital marketing budgets
• Hands-on experience in managing Facebook Ads, Google Ads at scale
• Experience in programmatic advertising is a big plus for this role
• Experience in understanding data using Google Analytics/ Mixpanel/ AppsFlyer or any other analytics or attribution tool
• Experience in cross-team collaboration, team management and agency management    

 

Job description:

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with our team of talented engineers to design and build our Saas Application.

Responsibilities
Design and build advanced applications for the Android platform
Collaborate with cross-functional teams to define, design, and ship new features
Work with outside data sources and APIs
Unit-test code for robustness, including edge cases, usability, and general reliability
Work on bug fixing and improving application performance
Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Requirements
Proven software development experience and Android skills development work experience ( 3- 6 years )
Proven working experience in Android app development
Experience with Android SDK
Experience working with Native Android, Java, and Kotlin.

About the Role
As part of the engineering team, you would be expected to have
deep technology expertise with a passion for building highly scalable products.
This is a unique opportunity where you can impact the lives of people across 150+
countries!

Responsibilities
• Develop Collaborate in large-scale systems design discussions.
• Deploying and maintaining in-house/customer systems ensuring high availability,
performance and optimal cost.
• Automate build pipelines. Ensuring right architecture for CI/CD
• Work with engineering leaders to ensure cloud security
• Develop standard operating procedures for various facets of Infrastructure
services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
• Perform & automate regular backups of servers & databases. Ensure rollback and
restore capabilities are Realtime and with zero-downtime.
• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps
engineers. Ensure industry standards are followed.

Requirements
• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
• B.E/B.Tech in CS or equivalent streams from institute of repute
• Experience in Azure is a must. AWS experience is a plus
• Experience in Kubernetes, Docker, and containers
• Proficiency in developing and deploying fully automated environments using
Puppet/Ansible and Terraform
• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager,
Newrelic
• Good knowledge of source code control (git)
• Expertise in Continuous Integration and Continuous Deployment setup using Azure
Pipeline or Jenkins
• Strong experience in programming languages. Python is preferred
• Experience in scripting and unit testing
• Basic knowledge of SQL & NoSQL databases
• Strong Linux fundamentals
• Experience in SonarQube, Locust & Browserstack is a plus

1. Generate orders and follow up leads to achieve the target
2. Find new business in his/her area and increase the number of customers
3. Engage in regular telecalling to build relationships with current customers to generate maximum orders and ensure timely payments.
4. Coordinate between different departments like purchase, marketing, accounts, and logistics

ABOUT US: Arque Capital is a FinTech startup working with AI in Finance in domains like Asset Management (Hedge Funds, ETFs and Structured Products), Robo Advisory, Bespoke Research, Alternate Brokerage, and other applications of Technology & Quantitative methods in Big Finance. PROFILE DESCRIPTION: 1. Get the "Tech" in order for the Hedge Fund - Help answer fundamentals of technology blocks to be used, choice of certain platform/tech over other, helping team visualize product with the available resources and assets 2. Build, manage, and validate a Tech Roadmap for our Products 3. Architecture Practices - At startups, the dynamics changes very fast. Making sure that best practices are defined and followed by team is very important. CTO’s may have to garbage guy and clean the code time to time. Making reviews on Code Quality is an important activity that CTO should follow. 4. Build progressive learning culture and establish predictable model of envisioning, designing and developing products 5. Product Innovation through Research and continuous improvement 6. Build out the Technological Infrastructure for the Hedge Fund 7. Hiring and building out the Technology team 8. Setting up and managing the entire IT infrastructure - Hardware as well as Cloud 9. Ensure company-wide security and IP protection REQUIREMENTS: Computer Science Engineer from Tier-I colleges only (IIT, IIIT, NIT, BITS, DHU, Anna University, MU) 5-10 years of relevant Technology experience (no infra or database persons) Expertise in Python and C++ (3+ years minimum) 2+ years experience of building and managing Big Data projects Experience with technical design & architecture (1+ years minimum) Experience with High performance computing - OPTIONAL Experience as a Tech Lead, IT Manager, Director, VP, or CTO 1+ year Experience managing Cloud computing infrastructure (Amazon AWS preferred) - OPTIONAL Ability to work in an unstructured environment Looking to work in a small, start-up type environment based out of Mumbai COMPENSATION: Co-Founder status and Equity partnership