Data Science
Machine Learning (ML)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About xpressbees
About
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Learn façade materials, systems, and relevant local building codes.
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Education: Diploma/Bachelor’s in Civil/Mechanical Engineering or Architecture.
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Reporting To:
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About Wissen
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world-class products.
We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.
Over the years, Wissen Group has successfully delivered multi million worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.
The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We serve clients across sectors like Banking, Ecommerce, Telecom, Healthcare, Manufacturing, and Energy.
Job Title: Pre-Sales Consultant
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Exp: 6 – 9 years
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We are seeking a dynamic Pre-Sales Consultant with expertise in solution designing, proposal crafting, and market analysis. The ideal candidate will have a strong understanding of the financial industry, experience with budget spent analysis, and the ability to identify market trends. A solid delivery background and a bit of technical expertise are preferred, though no hands-on development or programming experience is required. This role will involve collaborating with our sales and delivery teams to deliver the right solutions to address customer needs.
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- Customer Engagement: Work directly with customers to understand their business problems, pain points, and technology requirements. Propose solutions that address these challenges, leveraging Wissen’s strengths.
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Preferred Qualifications:
- Proven experience in pre-sales, solution architecture, or delivery roles.
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Java
Spring Boot- Contribute to all stages of software development lifecycle
- Design, implement and maintain Java-based applications that can be high-volume and low-latency
- Analyze user requirements to define business objectives
- Envisioning system features and functionality
- Define application objectives and functionality
- Ensure application designs conform with business goals
- Develop and test software
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- Create detailed design documentation
- Propose changes to current Java infrastructure
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- Develop multimedia applications
- Write well designed, testable code
- Conducting software analysis, programming, testing, and debugging
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NodeJS (Node.js)
MongoDB
Express[Senior NodeJS Developer] JP Funware & Technologies
Our Vision
JP Funware & Technologies is a new India-based online gaming company foraying into real money gaming with a portfolio that spans skill games (RummyXL) and many more upcoming ultimate games. The company specializes in technology and artificial intelligence to provide amazing game-playing experiences across its platforms. The Company for a future where the platform can deliver a culturally relevant and enjoyable experience in the Indian gaming environment, with features like easy payment withdrawal, less commission, and much more
The Role
JP Funware & Technologies is looking for a Senior NodeJS Developer passionate about working on core system architecture and cutting-edge technology with the experience and knack for real-money gaming. The ideal candidate should have experience in developing high-performance, scalable and secure applications using Node.js. You will be responsible for developing and maintaining server-side applications, implementing new features and fixing bugs, and collaborating with other team members to ensure the success of the project.
Key Responsibilities
· Creating and maintaining server-side application logic.
· Ensuring optimal performance of the central database and responsiveness to front-end requests.
· Collaborating with front-end developers on the integration of elements.
· Developing high-performance applications by writing testable, reusable, and efficient code.
· Implementing effective security protocols, data protection measures, and storage solutions.
· Collaborate with front-end developers on combining their front-end elements and components with the server side.
· Work on security and data protection.
· Incorporate data storage solutions (MongoDB).
· Running diagnostic tests, repairing defects, and providing technical support.
· Documenting Node.js processes, including database schemas, as well as preparing reports.
· Design and optimize applications for high performance, high availability, and low latency
· Write clean, maintainable, and efficient code.
· Troubleshoot and debug applications.
· Familiarity with how to create scalable Node.js applications.
Key skills and Experience Required
· At least 6 years of experience in developing Node.js applications.
· Strong understanding of JavaScript and Node.js.
· Experience with popular Node.js frameworks such as Express, Koa, or NestJS.
· Strong knowledge of database technologies such as MongoDB, MySQL, or PostgreSQL.
· Experience with Git and version control.
· Extensive knowledge of socket.io libraries, and frameworks (Express).
· Working knowledge of front-end technologies such as HTML5 and CSS3.
· Familiarity with how to create scalable Node.js applications.
· Great organizational and time management skills.
· Strong problem-solving and critical thinking skills.
· Excellent communication and collaboration skills.
· Master's degree in computer science, information science, or related field (preferred)
Why Explore a Career at JPFT
· Disproportionate Learning
All you need to bring to the table is a passion for Real Money Games and/or Tech. The responsibility for your growth and managing your learning curve is totally ours. Real money games are one of the most challenging businesses from a Tech & Operations point of view and we intend to expose our employees to various facets of their domain to make them rich with hands-on experience.
· Work-Life Balance
We do not glorify working overtime in the name of "startup hustle / hyper growth mindset". Efficiency is best driven when there is a solid work-life balance for our team members and we swear by this principle.
· Wealth Creation
Attractive compensation way above the market along with our generous bonus policy helps us in helping our younger and more passionate team members focus on wealth creation at the very stage of joining the organization.
· Peace of Mind
Flexible work culture and openness have been an integral part of our company structure from the beginning. We believe in taking care of your mental, physical, and emotional well-being.
It is a golden opportunity to be a part of the team and embark on a two-fold journey - enhancing the sports engagement of an average Indian and being the best RMG tech organization in the country. If you love sports and are passionate about technology and RMG, THIS IS THE PLACE for you!
Benefits at JPFT
Competitive Pay Packages || Swanky & vibrant workspace in Gurgaon || Investment in Learning & Development / Training || Employee Friendly Work Practices || Flexible Leave Policy || Company Laptop || Annual Offsite || Solve Challenging Problems|| High Scope of Innovation
Interview Process JPFT
· Exploratory Call by the HR Team
The uniqueness of the hiring process at JPFT is that at least ONE Founder will be present in all your interviews. This ensures the candidate gets a very strategic view of where the company aims to be in the medium/long term.
· One Technical Round – The technical round is to gauge & understand competence on the desired skill set and alignment from a technical standpoint.
· Final Round with the Founding Team to understand alignment on the vision and long-term plans of the organization.
JPFT's Tech Stack
NodeJS
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Job Description: We are seeking a creative and experienced Social Media Content Creator to join our growing team. As a Social Media Content Creator at Dot eVentures Pvt. Ltd., you will play a key role in developing and implementing our social media strategy. You will be responsible for creating engaging and informative content that resonates with our target audience and promotes our educational products and services.
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Develop and implement a comprehensive social media strategy to increase brand awareness and engagement. Create high-quality, visually appealing content for various social media platforms, including but not limited to Instagram, Facebook, Twitter, and LinkedIn. Stay up-to-date with industry trends and incorporate best practices into content creation. Monitor social media channels for trends, feedback, and opportunities to engage with the audience. Analyze social media metrics to measure the success of campaigns and make data-driven recommendations for improvement.
Qualifications:
Minimum 2 years of experience in social media content creation, preferably in the education or edutech industry. Proven track record of creating engaging and shareable content across various social media platforms. Strong written and verbal communication skills. Proficiency in graphic design tools and video editing software is a plus. Familiarity with social media analytics and the ability to interpret data to inform content strategy.
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Competitive salary in the range of INR 2,00,000 - 4,00,000 per annum, commensurate with experience. Opportunities for professional development and growth within a rapidly expanding startup. Collaborative and inclusive work environment.
Amazon Web Services (AWS)As a Sr. Cloud IoT Engineer with Intuitive, you will be responsible for the data acquisition from devices and sensors that allows the device to connect seamlessly with other systems. You will be researching, creating, testing, and documenting IoT solutions with integrated systems and devices to help the analytics and data science initiatives across our enterprise customers.
You will be working closely with SMEs in Data Engineering and Cloud Engineering, to create solutions and extend Intuitive's DataOps Engineering Projects and Initiatives. The Sr. Cloud IoT Engineer will be a central critical role for establishing the DataOps/DataX data logistics and management for building data pipelines, enforcing best practices, ownership for building complex and performant Data Lake Environments, work closely with Cloud Infrastructure Architects and DevSecOps automation teams. The Sr. Cloud IoT Engineer is the main point of contact for all things related to ingestion of telemetry data and saturation into time series or other databases. In this role, we expect our DataOps leaders to be obsessed with telemetry data and providing insights to help our end customers.
KEY REQUIREMENTS:
- 10+ years’ experience as data engineer.
- Must have 5+ Years in implementing IoT engineering solutions with multiple cloud providers and toolsets.
- This is hands on role building data pipelines using Cloud Native and Partner Solutions. Hands-on technical experience with Data at Scale.
- Must have deep understanding of solutions like AWS IoT Greengrass edge runtime and cloud services to build, deploy, and manage device software across the fleet of devices.
- Hands on experience with AWS IoT stack like Core, SiteWise, Kinesis, Lamda, Timestream
- Performance Tuning of streaming telemetry data based with tools like Grafana, Amazon Cloudwatch and QuickSight informed by business requirements.
- Good working experience on Web Service Integration, RESTful APIs, WebSockets and MQTT.
- Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration
Python
Django
FlaskResponsibilities
- Team Management: Manage, lead and guide a team of backend developers and interns working under you.
- API Development: Designing, developing, and testing APIs for mobile and web applications by understanding technical specification docs & communicating with the stakeholders.
- Product Creation: Understanding the products and proposing and implementing product improvements
- Customer Management: Accurately translate user and business needs into functional backend code.
Requirements
- Fluency in Python
- Ability to lead and set an example
- Experience with FastAPI and/or Flask
- Basics of SQL and NoSQL databases
- A keen eye for improving and optimising code
- Experience with performance and optimization problems and a demonstrated ability to identify and address performance bottlenecks.
- Ability to work in a fast-paced startup environment is a must. Open source contribution is a plus.
Experience
- Backend Development: 2+ years
- Python: 2+ years
- FastAPI / Flask: 1+ year
- SQL / NoSQL databases: 3+ months
Open roles:
All roles are fully remote. You can be anywhere in the world to apply for these positions.
Flutter
Android Development
iOS App Development- Job Description:
- Design and build advanced applications for the Flutter platform
- Collaborate with cross-functional teams to define, design, and ship new features.
- Experience to create complex UI in Flutter Platform
- Experience in using various Flutter plugins / extensions / libraries
- Experience in connecting to REST API's
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- 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.
- Must have built at least one app with Flutter SDK
- Have working experience with Dart.
- Experience with third-party libraries and APIs.
iOS App Development
Swift
Objective CWe are looking for a full-time iOS developer to join our team. You’ll be responsible for developing and maintaining high-end apps for companies from all over the world.
2-Basic architecture patterns of mobile development.
3-Fundamentals in object-oriented design, data structures, and problem-solving.
4-Comfortable with Git
5-Writes clean code
6-Fluent in English (you’ll be talking to US clients frequently)
iOS App DevelopmentObjective C
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon