Requires HR Executive, Female in Jaipur

Temporary full time role

Job requirement - Sourcing and TA for top brand startups in India and around the world. 

Need experience and background in HR, TA & outbound search/sourcing
prior experience with tech hiring for startups is highly preferred.

We are seeking free-lance recruiters. Consequently, we provide flexible work arrangements which accomodates for multiple jobs.

Catalyst IQ is a new-age Recrutiment and Advisory startup which brings a ledership from international and local business exposure. We are trying to create an effective marketplace for free-lance recrutiers. We specialise in mandates for edtech, Agritech, Fintech (neo bank, DeFi and Accounting ERP), e-gamming and others. 

value proposition - Catalyst IQ provide the potential to for someone to earn a months salary that a typical HR recruiter with 0-4 years exp makes in a full-time role, by just working part-time for us. 

Connect with us to learn more.

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.

ML / AI  engineer with hands-on experience of working with Time Series Data, layering of data and adopting complex parameters. At least 3-5 years of experience of working with customer data and handling ETL operations. Experience of converting machine learning models into APIs

Responsibilities

1. Create data funnels to feed into models via web, structured and unstructured data
2. Maintain coding standards using  SDLC, Git, AWS deployments etc
3. Keep abreast of developments in the field
4. Deploy models in production and monitor them
5. Documentations of processes and logic
6. Take ownership of the solution from code to deployment and performance

 

Job Description:

As part of the Aurum PropTech Development Team, the person will be responsible for working
with the Development Manager and assisting with all functions of software coding and design.
You will be working closely with other developers, UX designers, business, and systems analysts.
You will be responsible for Developing, Testing, and Analyse programming applications in the
Agile method. Analyze and rectify software errors and present precise status reports on time.
Your primary focus will be the development of all server-side logic, definition, and maintenance
of the central database, and ensuring high performance and responsiveness to requests from the
front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is
necessary as well.
To ensure success as a Software Engineer, you should have a good working knowledge of basic
programming languages, the ability to learn new technology quickly, and the ability to work in a
team environment. Ultimately, a top-class Software Engineer provides valuable support to the
design team while continually improving their coding and design skills.

Key Responsibilities:

• Build web apps, mobile apps, POC’s and applications using the latest frontend technologies.
• Providing timely resolution to reported problems with existing websites.
• Working closely with both the design and project resources to achieve the best possible
results in web projects from conception right through to delivery.
• Ensuring all work adheres to current industry best practices.
• Self-motivated, goal-oriented, and able to work in a team environment.
• Detail-oriented and Present minded.
• Committed, enthusiastic, sincere, and trustworthy.
• Excellent communication skills with the ability to effectively interface with all levels and
departments on a formal, informal, written, and verbal basis.

What we are looking for
Essential Skills

• Good understanding of website integration and software creation.
• Excellent verbal and written communication skills.
• Able to follow clear instructions according to client demands.
• Strong analytical and problem-solving skills.
• Creative ability to produce effective solutions to client problems.
• Good team player that is enthusiastic about delivering results.
• Hands-on HTML, CSS, JavaScript, PHP, C++, JAVA, and other relevant web design coding
languages.
• Create and test applications for websites.
• Collaborate with team members.
• Troubleshoot website problems.
• Proficient understanding of code versioning tools.
• Familiarity with development aiding tools.
• Knowledge of React JS & Angular JS is a plus point.

Qualifications

➢ Bachelor’s degree in Computer Science, BCA, MCA, Or Information Technology

Development Values:

New technology is exciting, but at Aurum PropTech we recognize that people are the key to our
successful digital transformation. We are creating a workplace where they can focus on high value, strategic work, high-rewarding career paths, and be inspired to enhance our client’s digital
services - with an Agile mindset. This is a fantastic opportunity to join a fluid and fast-paced
organization offering an attractive working environment both in terms of work type, technologies,
and projects. It is somewhere you can thrive, grow, and be challenged. The program is currently
at its nascent stage and will entail owning a challenging and fulfilling role using cutting-edge
technology. We will be willing to invest in relevant training for the right candidate.
COME JOIN US as we empower our teams with digital skills.

- Ensure reliability and efficiency of both large-scale cloud systems and business-operations

- Build and manage systems, infrastructure and applications through automation

- Develop and maintain CI/CD pipeline

- Build/Maintain alerting and monitoring service

- Automate all manual operations work

 

- Strong experience of AWS ecosystem

- Good working experience in python

- Experience in CI/CD tools like Jenkins

- Experience with Infrastructure automation tools like salt stack or chef is a plus

 

- Minimum 4 Years of work experience in Site Reliability.

- Extensive experience in supporting production Internet services

- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive

Role: The role of lead is not a textbook checklist, however, there are technical responsibilities that a team must fulfill and we expect the tech lead to ensure these responsibilities are covered and be able to cover them themselves if needed. We expect tech leads to taking a collaborative approach to leading their team. This is especially important when considering the amount of experience that each of our consultants brings. Given this, we expect you to: ● Respect the other members of your team and recognise you don’t always know best. ● Spot gaps in team capability and figure out how to fix them as a team. ● Be hands on, able and willing to contribute to development, however, don’t expect to be coding all of the time. ● Encourage the team to be proactive, give them responsibility. Responsibilities ● Have a clear understanding of the deployment architecture ● Have a clear understanding of the build pipeline ● Understand how you get changes into production ● Understand how all parts of the system work together ● Facilitate technical communication with other teams, both within your engagement and across other EE clients. ● Actively seek to remove knowledge silos within the team ● Ensure you have a release / branching strategy in place ● Act as the primary point of contact for your team when communicating with other teams ● Ensure there is a technical vision for the team ● Liaise with environment specialists to ensure smooth deployments to production ● Encourage the team to follow good development practices aligned to EE technical values ● Feedback to the delivery lead or engagement manager on the quality of your team (good and bad) ● Recognise team members that have the potential to grow into team leads ● Ensure the use of new technologies or dependencies does not block the team. ● Ensure the team keeps necessary architectural documents up to date ● Keep an eye on the long term consequences of architectural choices, and remind others when necessary ● Build good relationships with your team members. Act as a mentor when required ● Keep the client informed and engaged in the technical side of the project ● Build relationships across your client community Technologies / Experience The successful candidate must have the following experience: ● Worked as the tech lead of a development/delivery team in a large organisation ● Have worked with a variety of different technical architect roles ● Be deeply proficient in at least one programming language ● Be comfortable using other languages and evidence using multiple languages ● Have hands-on experience with some form of configuration management tooling, e.g. Ansible, Chef, Puppet ● Have hands-on experience of at least one continuous integration and continuous delivery technology, e.g. Jenkins, Go, Team City or Bamboo. ● Full stack development experience from user interface through to data persistence ● A strong proponent of XP practices such as TDD ● Working with a delivery team to formulate an automated test strategy ● Worked as part of a number of agile delivery teams and seen a number of different approaches to delivery ● Good appreciation of secure coding practices and end to end system security The following exposure will also be looked on favorably: ● Performing an ‘architect’ role, while retaining hands-on involvement ● Working with cloud hosting platforms such as AWS, Rackspace, Azure etc. ● Infrastructure management technologies such as Cloud Formation or Terraform

Front End Engineer Responsibilities: Development and optimization of web UIs for our client using JavaScript, AngularJS. Understanding of using RESTful web services. Front-end performance optimization. Wire framing and prototyping new UIs. Critical issue resolution for emergencies & production issues related to frontend.  Qualification : 3+ years of Frontend development experience using Javascript, JQuery, HTML, HTML5, CSS & CSS3 including at least 2 years of extensive Angular JS experience. Proficient with Modern Web Technologies such as JavaScript, CSS3,HTML5, jQuery and other Javascript frameworks. Strong knowledge on RESTful APIs and experience integrating frontend with REST APIs by deserializing web service response. Strong knowledge of Git (branches, submodules, rebasing) and other Agile tools such as JIRA & Confluence.