Enterprise Sales Executive
3 - 7 yrs
₹6L - ₹12L / yr
Mumbai
Skills
Sales
Business Development
Lead Generation
Lead Prospecting
Presales
Inside Sales
We are looking for some amazing people who can sell. Freightsy is a B2B platform for optimizing global supply chains.
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About Freightsy Innovations
Founded :
2017
Type :
Services
Size :
20-100
Stage :
Bootstrapped
About
With Freightsy, you can now streamline your export supply chain, connect your existing freight forwarders and also benefit from the Freightsy network of over 120 accredited freight forwarders. From Price Discovery to Shipment Execution, we got you covered.
Read more
Connect with the team
Company social profiles
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1. A 2-wheeler
2. Good English speaking skills
The job is to make multiple trips to different places in Bengaluru (mostly in Koramangala to Whitefield range).
Per trip can fetch an easy 120/- Rs, so if you do 10 trips a day, its easy 1200 bucks. Additionally, there are incentives and also **5% revenue sharing** is ensured for any service fee that we collect as a result of these visits. On an average, you can easily make 20,000 INR per month if yo udedicate your weekends to us.
**Details:**
We are into real-estate ready-to-move-in property transactions. We provide consultancy to prospective buyers, who request visits on properties they like. The job is to accompany them for these visits. There is no sales skill involved. You can use your smartphone to log into an app, see all the visits scheduled for today, coordinate with the buyer to reach the GPS location mentioned. If the buyer seeks any answer regarding the property, just check it on the app and answer. That’s it.
When sales happen out of these visits, and we get our service fee, the same will be shared with you (5% of the fee will on an average amount to 5000/-).
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1. The job is a day job - 10 am to 6 pm
2. The localities that we work in are dense, popular and safe: Koramangala, HSR, BTM, ORR, Marathahalli, Whitefield, Bellandur etc
3. The customers are mostly families
4. No followups with the customer is required - Mostly one single meeting per customer
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Quantsapp is India's first Option Trading Analytics platform on mobile. With
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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.
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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
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involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
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components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
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- Route Optimization
- Address / Geo-Coding Engine
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without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
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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
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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.
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
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● Experience in CI/CD and development best practices, instrumentation, logging systems
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from large data sets.
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● 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,
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● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
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mathematical models
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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.
Read more
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Desired Candidate Profile
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Read more
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- 2+ years' experience in frontend development
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Experience
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+2 more
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•Collaborate with cross-functional teams to define, design, and ship new features.
•Unit-test code for robustness, including edge cases, usability, and general reliability.
•Continuously discover, evaluate, and implement new technologies to maximize development efficiency.Write clean, maintainable code while rapidly iterating and shipping
•Participate in all phases of development, from design to implementation, unit testing, and release.
Experience & Education:
•Required: BE/ BTech from Tier1, Tier2 Institutes
•2+ Yrs Experience in Front End Development
•2+ Yrs Experience in nginx, NodeJS, MongoDB, mysql, Api development
•Excellent logical and Analytical Skills
•Experience with AWS, Socket.io
•Knowledge of javascript, OOPS including experience with design Pattern
•Excellent in Design patterns, Data Structure.
•Should have a problem-solving approach.
•Design and code for scalable applications that support a big user base.Expected Competencies:
•Adaptable to change; able to respond to shifting requirements and priorities
•Well organized and structured approach to work with good attention to details.
•Comfortable with coordinating and collaboratingwith business teams to drive required decisions and outcomes.
•High degree of personal integrity and strong ability to work collaboratively and effectively in a fast-paced, flexible, team-based environment.
Job Specification :
Position :Full Stack Developer
Location: Pune
Qualifications: Associate, Diploma and Bachelor’s Degree in relevant field
Experience: 3+yrs. relevant experience.Preferred target Companies: A combination of Start-up experience and Large Organizations would be preferredKey
Responsibilities / Accountabilities
•Develop new user-facing features
•Build reusable code and libraries for future use
•Ensure the technical feasibility of UI/UX designs
•Optimize application for maximum speed and scalability
•Assure that all user input is validated before submitting to back-end
•Collaborate with other team members and stakeholders•Use markup languages like HTML to create user-friendly web pages
•Maintain and improve website
•Optimize applications for maximum speed
•Design mobile-based features
•Collaborate with back-end developers and web designers to improve usability
•Get feedback from, and build solutions for, users and customers
•Write functional requirement documents and guides and create quality mockups and prototypes
•Ensure high quality graphic standards and brand consistency
•Stay up-to-date on emerging technologies
•Design and build applications.
•Collaborate with cross-functional teams to define, design, and ship new features.
•Unit-test code for robustness, including edge cases, usability, and general reliability.
•Continuously discover, evaluate, and implement new technologies to maximize development efficiency.Write clean, maintainable code while rapidly iterating and shipping
•Participate in all phases of development, from design to implementation, unit testing, and release.
Experience & Education:
•Required: BE/ BTech from Tier1, Tier2 Institutes
•2+ Yrs Experience in Front End Development
•2+ Yrs Experience in nginx, NodeJS, MongoDB, mysql, Api development
•Excellent logical and Analytical Skills
•Experience with AWS, Socket.io
•Knowledge of javascript, OOPS including experience with design Pattern
•Excellent in Design patterns, Data Structure.
•Should have a problem-solving approach.
•Design and code for scalable applications that support a big user base.Expected Competencies:
•Adaptable to change; able to respond to shifting requirements and priorities
•Well organized and structured approach to work with good attention to details.
•Comfortable with coordinating and collaboratingwith business teams to drive required decisions and outcomes.
•High degree of personal integrity and strong ability to work collaboratively and effectively in a fast-paced, flexible, team-based environment.
Read more
Remote only
3 - 8 yrs
₹8L - ₹13L / yr
pandas
PySpark
Big Data
Data engineering
Performance optimixation
+3 more
Data pre-processing, data transformation, data analysis, and feature engineering,
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
Read more
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