Business Development Executive

Required Skills
Experience with various stream processing and batch processing tools (Kafka,
Spark etc). Programming with Python.
● Experience with relational and non-relational databases.
● Fairly good understanding of AWS (or any equivalent).


Key Responsibilities
● Design new systems and redesign existing systems to work at scale.
● Care about things like fault tolerance, durability, backups and recovery,
performance, maintainability, code simplicity etc.
● Lead a team of software engineers and help create an environment of ownership
and learning.
● Introduce best practices of software development and ensure their adoption
across the team.
● Help set and maintain coding standards for the team.

• Builds business by identifying and selling prospects; maintaining relationships with clients.
• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.

Skill set required
• Contributes to team effort by accomplishing related results as needed.
• Presentation Skills
• Client Relationships
• Emphasizing Excellence
• Energy Level
• Negotiation
• Prospecting Skills
• Meeting Sales Goals
• Creativity
• Sales Planning
• Independence
• Motivation for Sales

 Strong proficiency in React Native, JavaScript, TypeScript, Object-Oriented
Programming
 2+ years of professional experience working with React Native
 Deep knowledge of component state management experience (specifically in React
Native)
 Familiarity with native build tools, like XCode, Gradle
 Good understanding of Redux
 Ability to work through new and difficult React Native issues and contribute to libraries
as needed.
 Ability to create and maintain continuous integration and delivery of React Native
applications.
 Ability to understand business requirements and translate them into technical
requirements

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.

As the technical lead, you will oversee the company's technical team and all projects they undertake, analyze briefs, write progress reports, identify risks, and develop work schedules. You should be able to work with your team and inspire them to reach their goals.

 

To be successful as a technical lead, you should always be expanding your industry knowledge and be able to quickly identify problems. Outstanding technical leads are accountable, trustworthy, and able to build lasting relationships with their teams.

 

Responsibilities:

• Determining project requirements and developing work schedules for the team.
• Delegating tasks and achieving daily, weekly, and monthly goals.
• Liaising with team members, management, and clients to ensure projects are completed to standard.
• Identifying risks and forming contingency plans as soon as possible.
• Analyzing existing operations and scheduling training sessions and meetings to discuss improvements.
• Keeping up-to-date with industry trends and developments.
• Updating work schedules and performing troubleshooting as required.
• Motivating staff and creating a space where they can ask questions and voice their concerns.
• Being transparent with the team about challenges, failures, and successes.
• Writing progress reports and delivering presentations to the relevant stakeholders.

 

Requirements:

• Bachelor's/Master's degree in computer science, engineering, or a related field.
• A 3-4 years of experience in a similar role would be advantageous.
• In-depth experience in working with Reactjs and Go.
• Excellent technical, diagnostic, and troubleshooting skills.
• Experience with blockchain technology preferable.
• Strong leadership and organizational abilities.

Primary Responsibilities
 The Recruitment Lead will be responsible for overall  India recruitment strategy
development, implementation and administration of recruitment programs. Execute
Recruitment strategy to drive business results of each internal departments and
appropriate stakeholders.
 The Recruitment Lead will possess and exercise exceptional skills in: problem solving,
strategic thinking, and project/process management, coaching and fostering
collaboration. To monitor and constantly reduces the costs of the recruitment process
Functions and Responsibilities:
40% Recruiting Strategy: Provide day to day support on the overall recruiting life cycle and
building trusted relationships with hiring managers.
 Overall Recruiting Strategy for
o Responsible towards the  senior leadership in planning, developing,
executing, and directing hiring strategies, processes, and programs for
o Lead sourcing strategies through a variety of sourcing channels across all of
 recruiting needs.
 Manage and maintain external search agency relationships, contracts,
negotiations and effectiveness.
 Develop and manage university and external program relationships to
build additional sourcing pipelines.
 Oversight over all open roles and health of the pipelines.
 Identifying key industry related events and coordinating participation.
o Responsible for partnering with Marketing and Design on all recruiting related
activities including managing our social media brand related to hiring
o Partnering effectively with the  Global recruiting team, ensuring
alignment on practices, and alignment on use of external agencies.

 Hiring Manager Relationships
 Responsible for building an understanding of our hiring needs, conducting a
needs analysis and evaluation of job descriptions that best target our talent
profiles.
 Responsible for providing counsel to hiring managers on approaches to recruiting
and interviewing practices

2

 Senior Manager Recruitment

Job Description
 Act as a relationship manager between hiring managers and candidates, being
responsible towardsand balancing our needs and expectations with
that of the candidate.
 Partnering with theHR team on supportinHiring manager
needs.
 Educating and enabling managers through the  interview framework

30% Recruiting
 Manage open job postings and candidate pipeline
 Responsible for managing an active and passive pipeline search through a variety of
recruiting channels.
 Responsible for ensuring a positive candidate experience throughout the life cycle of the
recruitment process.
 Provide support on building out job descriptions
 Gathering candidate feedback in a timely manner
 Coordinating and scheduling candidates in a timely manner being respectful of the hiring
managers’ schedules.
 Ensuring alignment of communications through job postings and candidate experience
align with our overall  culture and brand.
20% Recruiting Operations
 Reporting and Metrics:
 Ensuring the recruiting report is updated on a weekly basis and providing any
further metrics or reporting needs analysis.
 Leadership level communication: Managing the Leadership and as appropriate
Managers communications on the overall health of our recruitment.

 Financials:
 Oversight of the budgets aligned against search agencies, external events,
memberships
 Oversight of referral program partnering with Finance, including processing of
any referral payments

 Agency Relationships: Responsible for negotiating and managing any external agency
relationships. Fiscally responsible for the costs and management of these relationships.
 Responsible for the overall recruiting flow and offer approval flow:

Experience Guidelines:
 To ensure that the HR Policies & Procedures on recruitment are fully complied throughout the
selection process. Strong ability to communicate effectively (verbal and written), at all levels
within and outside the organization
 Solid understanding of on-going Technology trends. Past experience in managing and mentoring
a team of at least 4-6 recruiters is a must.
 About 10 years of related experience of which a minimum of 6 years should be in a similar
position / responsibility, preferably in a similar Industry. HR , Recruitment , Recruitment
Manager/Preferably from Analytics or IT domain company
 Hands-on experience on MS Office skills

3
 Senior Manager Recruitment

Job Description

Ways of Working
 Think and act strategically to resolve issues, problem solve, add business value
 Approach work with a sense of urgency
 Strong organizational/planning, project management, and multi-tasking skills required to
deliver on time and within budget
 Work independently with minimal supervision to set priorities and demonstrate excellent
program /process and management skills
 Demonstrate a strong attention to detail
 Demonstrated experience in fostering a collaborative working environment between
individuals and teams through coaching & personal example
 Exceptional time and priority management skills
 Use excellent communication skills to collaborate and provide transparency on all things
 Be a collaborative,

About us:
Swazei is a US-based remote software product experience company headquartered in San Diego, California. We are a bunch of technology enthusiasts from all over the world. We are called Lunavo because we believe that it is possible to bring the Moon to the Earth. We believe in making things possible. We are passionate about executing products with agile lean processes that work to create product experiences that drive results. We have created an ecosystem of talent spread across geographies and agile design and development processes to create software that delivers value for our clients. (www.swazei.com)

Joining: IMMEDIATE

Work From home opportunity

Experience: Minimum 1 yrs.

Job Requirements:

• Manage and docket Intellectual Property (IP) filings, deadlines, review attorney invoices, and work closely with the company’s Patent Counsel
• Conduct prior art database searches for patentability and freedom to operate analyses and analyze patents, scientific papers, and documents
• Prepare, draft, and file patent applications and draft responses to office actions
• Administer new/renewal IP filings and prepare/coordinate documentation for internal stakeholder review
• Coordinate invention disclosure documents, internal discussions, and provide guidance on a variety of patent and IP-related issues
• Serve as a liaison between inventors, Emerging Technology, and outside counsel
• Provide ongoing guidance to the business teams regarding invention disclosures, prior art searches, inventorship, and IP guidance
• Develop and maintain excellent partnerships with internal and external parties to build efficiencies, successful project deadlines, and best practices for internal IP
• Identify opportunities for improvement and apply best practice principles and concepts where appropriate

Job Type: Full-time