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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.
Angular (2+)
DockerWe are seeking a skilled Frontend Developer to join our global automotive team. As Frontend Developer, you will be responsible for implementing features for critical application environments for industry leaders in the automotive industry.
Responsibilities:
Frontend Development: Develop and maintain web applications using AngularJS, Angular 2+, Typescript, AG-Grid, ExtJS.
NodeJS + Express development .
UI/UX Implementation.
Testing & Code Quality: Write and execute unit tests using the Karma framework, ensuring robust and maintainable code.
Requirements:
Technical expertise: Strong proficiency in AngularJS (Version 1) & Angular (latest Version).
Experience with Websocket technology.
Ideally familiar with NgRx, AG Grid, SVG Rendering.
Experience with Docker.
Strong analytical, communication, and organizational abilities. Easy to work with.
Familiarity with Node.js, Express.js.
Optional: Experience with our relevant business domain (Automotive industry). Familiarity with IT process frameworks SCRUM, ITIL.
Skills & Requirements
AngularJS, Angular (latest Version), Typescript, AG-Grid, ExtJS, Node.js, Express.js, NgRx, SVG Rendering, Docker
The Head of Strategy and Pre-sales will be responsible for d
Job Summary:
The Head of Strategy and Pre-sales will lead the strategic growth initiatives and pre-sales activities of the Healthcare & Life Sciences Business Unit. This leadership role is responsible for translating the company’s overarching goals into actionable strategies, managing a team of pre-sales professionals, research engineers, and strategists. You will ensure seamless alignment between business development, product innovation, and client engagement to drive revenue and customer success.
Key Responsibilities:
Strategy Development & Implementation:
Translate organizational imperatives into actionable BU-level strategies and execution plans.
Develop and implement a scalable pre-sales framework aligned with business objectives.
Be the Single Point of Contact (SPOC) for proactive proposals, RFPs, and RFIs.
Collaborate with sales, product, and practice teams for unified client engagement.
Craft compelling pitches and value propositions for target accounts.
Work across Business Units to deliver comprehensive solutions.
Partner with marketing on campaign strategy and content development.
Ensure alignment with organizational policies and compliance requirements.
Maintain strong product and market knowledge to position solutions effectively.
Continuously optimize pre-sales processes and tools.
Go-to-Market Execution:
Drive strategic deal shaping, win strategies, pricing, and differentiation.
Build detailed account plans aligned with client strategic initiatives.
Provide support materials such as case studies and capability documents.
Enable internal teams on new offerings in emerging tech areas.
Lead & Demand Generation:
Generate leads via direct outreach, marketing campaigns, and partnerships.
Set up and qualify meetings with potential clients.
Support business growth through targeted messaging and proactive engagement.
Reporting & Analytics:
Monitor strategy implementation and BU performance.
Track KPIs including win rates, deal velocity, and client engagement.
Provide regular strategic and operational reports to senior leadership.
Knowledge Management:
Relay prospect feedback to inform product roadmaps.
Stay ahead of market and industry trends.
Oversee creation of whitepapers and thought leadership materials.
Ensure documentation standards for solutions, brochures, and catalogues.
Drive knowledge sharing, training, and certifications across teams.
Team Leadership & Development:
Align team deployment with skillsets and project requirements.
Uphold process discipline and performance standards.
Foster capability development and mentor team members.
Drive performance management, goal setting, and continuous coaching.
Qualifications:
Bachelor’s degree in Business, Engineering, Computer Science, or related field; MBA preferred.
15+ years in pre-sales, technical consulting, or sales engineering, preferably in engineering services.
Proven success in strategy implementation and performance tracking.
Strong leadership, collaboration, and stakeholder management skills.
Deep understanding of the Healthcare & Life Sciences domain.
Excellent communication, problem-solving, and consultative selling abilities.
Are you ready to revolutionize the manufacturing landscape? We're on the hunt for a dynamic OT-IT Expert who’s not just skilled but passionate about transforming operational technology! Join us in optimizing our manufacturing shop floors by auditing and enhancing infrastructure and connectivity. Your mission? Identify those sneaky gaps in our data collection architecture and ensure our machines and sensors talk smoothly to the cloud. If you thrive in IIoT environments and can navigate the complexities of communication protocols like a pro, we want you on our team!
Key Responsibilities:
- Audit Like a Pro: Dive deep into our existing infrastructure and connectivity on the manufacturing shop floor.
- Gap Detective: Identify gaps in our architecture for seamless data collection from machines and sensors to cloud systems.
- Solution Architect: Design and propose the best-suited, cost-effective solution architectures based on your gap analysis.
- Proposal Wizard: Develop and prepare detailed project proposals that impress stakeholders.
- Supplier Negotiator: Identify and negotiate with suppliers for the required hardware and peripherals to bring your designs to life.
- Challenge Anticipator: Plan ahead for potential implementation challenges and devise clever solutions.
- Project Overlord: Oversee IIoT project implementations to ensure they stay on track and meet objectives.
- Data Accuracy Guardian: Ensure the accuracy of captured data by validating against actual shop floor values.
- Data Structurer: Develop and implement data format structuring and standard frameworks that enhance our operations.
- Quality Assurance Champion: Perform thorough Quality Assurance (QA) on collected data before handing it over to our data engineers.
Required Skills and Experience:
- Extensive experience in IIoT projects involving field communication protocols (Modbus, OPC, PROFINET, PROFIBUS).
- Strong knowledge of PLC programming with hands-on experience in multiple PLC brands (Siemens, Allen-Bradley, Mitsubishi).
- Proficient in auditing and analyzing OT infrastructure like a seasoned expert.
- Expertise in cloud connectivity and data collection systems.
- Creative thinker with the ability to design scalable and cost-effective IIoT architectures.
- Strong negotiation skills to manage vendor relationships effectively.
- Exceptional problem-solving and forward-thinking abilities.
- Solid understanding of manufacturing processes and shop floor operations.
- Proven experience in data validation, structuring, and quality assurance.
- Familiarity with data engineering concepts and the ability to liaise with data engineering teams.
Preferred Qualifications:
- Bachelor's degree in Instrumentation, Information Technology, Electrical Engineering, or a related field.
- Relevant certifications in Industrial Automation or IIoT technologies.
- 5+ years of experience in OT/IT convergence projects within manufacturing environments.
- Experience with data standardization and framework development in industrial settings.
Key Attributes:
- Strategic thinker with a hands-on approach who can get things done.
- Excellent communication skills to connect with both technical and non-technical stakeholders.
- Proactive problem-solver with a history of successful project deliveries.
- Adaptable to rapidly evolving technology landscapes, ready for anything!
- Meticulous attention to detail, especially in data accuracy and quality.
- Strong analytical skills for data validation and structure optimization.
Experience : 3 to 15 years
Location : Pune/Bangalore
Type of Employment : Permanent
Role : ServiceNow ITX
Qualification : B.E Computer or IT / MCS/ MCA equivalent
Job Overview :
The person should be experienced in designing, Implementing, solution various ServiceNow related applications and modules. Must possess technical knowledge and hands on experience in any 1 or 2 of these ITAM, ITOM, CSM, SPM, PPM.
Key Responsibilities :
· Support and maintain all technical aspects of ServiceNow platform.
· Design and Develop OOTB and custom application on ServiceNow platform with primary focus on ITX and HRSD development
· Owns the requirement gathering sessions collaborating with various stakeholders.
· Convert user stories into technical solutions.
· Possess the ability to work independently with minimal management supervision
· Testing of new and existing functionality
· Documentation of new and existing process
· Train end users/stakeholders
Experience and Skills Required :
· Relevant 3+ years of experience in developing application using ServiceNow platform (Development & administration )
· Expertise with any 1 or 2 of these ServiceNow ITOM, ITAM, ITBM, HRSD, CSM, SPM, PPM.
· Experience with Now mobile app.
· Extensive experience creating custom Widget using html, CSS, bootstrap , AngularJS, Server Side scripting, Jelly Script, jQuery
· Should have experience in integrations including AD, MID Server and third party tools using web services, SOAP, REST, etc.
· Experience of Scoped application and Service Portal
· Should have good understanding about domain separation
· Excellent Analytical, Logical, communication and problem-solving skills
· Should have ServiceNow CSA (Certified System Administrator)
· ServiceNow Certified Application Developer
Nice to Have :
· ITIL certified
· Relevant ServiceNow Certified Implementation specialist
· Adherence to agile development methods like SCRUM
AngularJS (1.x)Angular (2+)
React.js
NodeJS (Node.js)
MongoDBJob Summary:
Greenie Startup is seeking a highly motivated and experienced Backend Developer to join our team. The ideal candidate should have a strong understanding of NodeJS, Distributed Systems, MongoDB, React, and other backend languages. The candidate will be responsible for designing, developing, and maintaining backend applications for our platform.
Responsibilities:
● Develop and maintain backend services using NodeJS, MongoDB, and other backend languages
● Design and develop RESTful APIs for the platform
● Work with the team to develop scalable and fault-tolerant distributed systems
● Implement Authentication, Identity Management, and Authorization mechanisms for the platform
● Collaborate with the front-end team to integrate the backend services with the user-facing application
● Write clean and maintainable code with a focus on performance and scalability
Requirements:
● Bachelor's or Master's degree in Computer Science or a related field
● At least 5 years of experience in backend development
● Strong understanding of NodeJS, MongoDB, and other backend languages
● Experience with distributed systems and RESTful APIs
● Experience with React is a plus
● Strong understanding of Authentication, Identity Management, and Authorization mechanisms
● Familiarity with Firewall Security and other security mechanisms
● Strong problem-solving skills and attention to detail
Training Specialist
Location: Baner, Pune
Company Name: REI systems India Pvt Ltd (Product based)
Create digital elearning content to increase user adoption and engagement of our Product. You will bring leading-edge thinking, methodologies and approaches to the design and development of e-Learning interactive guides, courses, and multimedia. Partnering with stakeholders and subject matter experts (SMEs) to ensure accuracy of learning content and to deliver high-impact and interactive digital learning experiences.
Job Description
- Develop dynamic, customized, experiential e-learning courses and multimedia using a variety of technology tools.
- Work closely with (SMEs) throughout the project phases to ensure content accuracy and alignment with learning objectives.
- Effectively break down information into smaller, organized pieces for users, learners to understand on their own in asynchronous learning.
- Design, maintain and distribute application training communication pieces to end-users.
- Remove or archive outdated content from central repository.
- Deliver Train-theTrainer (TTT) sessions.
- Recommend proven learning strategies to address business challenges.
- Responsible for developing and creating learning material in Articulate, DAP, and video software tools.
- With direction, convert ILT to online Articulate and video courses.
- Create new online courses using Articulate and other software.
- Develop outlines, write video scripts, and create graphics for application trainings.
- Knowledgeable in learning design principles and creating engaging content to illustrate basic to complex concepts and processes for adult learners.
- Highly organized self-starter, with ability to multi-task and work under tight deadlines with flexibility.
- Excellent written and verbal communication along with strong attention to detail and follow-through skills.
- Assist the eLearning Manager with special projects, as needed.
Qualifications:
- Bachelor’s degree or equivalent work experience required.
- 3 years of experience working in instructional design, learning and development, or an eLearning role.
- 3 years of experience designing eLearning content for the Healthcare, Medtech or FinTech industry preferred.
- Working knowledge of Learning Management Systems.
- Working knowledge of eLearning tools such as Articulate Rise and Vyond.
- Working knowledge of digital adoption platforms.
- Working knowledge of graphic design and related tools.
- Working knowledge of agile methodology a plus
If interested, kindly revert with your updated cv ASAP & below details:
1. Total experience & Relevant experience in Training & E-learning?
2. Current CTC & Expected CTC:
3. Notice period. How immediate can you join us?
4. Are you holding any other offer. If yes, How much?
5. Location
6. Do you have a personal laptop/Desktop in good working condition?
React.js
Javascript
Redux/FluxSenior Software Engineer-Frontend
About the role:
We are looking for passionate, talented, and highly motivated hands-on Front End Developers with a creative edge, strong problem solving skills and strong development fundamentals. We strive to maintain an open culture where everyone is a contributor and feels comfortable sharing ideas and opinions. Our team, drawn from the best product companies, is obsessive in its detailing and our focus is on awesome User Interaction.
Requirements:
- Ability to collaborates with teams to explore existing systems, determines areas of complexity and learns the applications capabilities
- Complete understanding of internal code and workings on any popular open source library will be highly appreciated
- Some record of contribution to any popular front end open source project is a big plus.
Skills that will help you succeed in this role:
- An ideal Senior Front End Engineer would have 3-6 years of experience in building highly scalable UI on the Web/Mobile.
- Highly skilled at building highly performant web applications using JavaScript, HTML and CSS including frameworks and tools such as React, Redux, Redux saga, Sass, Less etc.
- Ability to write testable, maintainable code that’s easy to understand.
- Experience in modern front-end build pipelines and tools.
- Ability to take complex problems and break them down into smaller tasks.
- An innate curiosity about how things work.
- Strong product and design sensibilities and an obsessive attention to detail.
- Excellent communication skills.
- Self-directed team player who thrives in a continually changing environment.
- We are looking for passionate, talented, and highly motivated hands-on Front End Developers with a creative edge, strong problem solving skills and strong development fundamentals.
HTML/CSSAngular (2+)
Primary responsibilities:-
- Ensure timely delivery as per the product plan.
- Track implementations across clients and ensure delivery in coordination with the technology team.
- Highlight Risks in the project, to ensure everyone understands overall risk.
- Manage the QA process, to help iterate on the products.
- Manage project scope and changes. Ensure that the project is within the scope, schedule, budget and quality standards.
- Coach, the mentor, motivate and supervise the project team. Delegate tasks and responsibilities to appropriate personnel.
- Keep detailed track of projects and share updates with clients.
- Manage client expectations for projects. 9.Customer visits.
Skills required:-
1.Should have good knowledge of any technology
2.Good experience in customer management and people management.
3.Full project life cycle ownership: successful project delivery will include full implementation from initiation to deployment for one major or several minor initiatives simultaneously.
- Experience with enterprise products is desirable
- Experience in banking and finance domain is a bonus
- Client facing experience in the role of a project manager.
Desired experience:-
Should have handled small/medium projects in the past.
Prepare product and project plans in coordination with the sales team and tech team.
Should have worked with technical architects and developers and understands the terminology and concepts.
Proven ability to demonstrate a drive for results and accountability of business needs.
Experience of 3-4 years in Project Management
2-3 years in a PMO role
Overall experience of 6-8 years
Preferably from Product Organisations. But not a must.
Experience in preparing and reviewing Project Plans
Understanding of project governance and process compliances
Deep understanding of Project tracking and Risk assessment.
Experience of preparing Project reports, Snapshots, MIS.
Good team player - as he/she will need to work closely with PMs and other internal teams.
Vue.jsJavascriptAngular (2+)React.js
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