11+ XGBoost Jobs in Pune | XGBoost Job openings in Pune
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Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
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.
Read more
Pune
4 - 8 yrs
₹4L - ₹14L / yr
Amazon Web Services (AWS)
Kubernetes
DockerTerraform
Linux/Unix
+3 more
Job Summary:
We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.
Key Responsibilities:
- Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
- Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
- Develop and manage infrastructure using Terraform or CloudFormation.
- Manage and orchestrate containers using Docker and Kubernetes (EKS).
- Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
- Write robust automation scripts using Python and Shell scripting.
- Monitor system performance and availability, and ensure high uptime and reliability.
- Execute and optimize SQLqueries for MSSQL and PostgresQL databases.
- Maintain clear documentation and provide technical support to stakeholders and clients.
Required Skills:
- Minimum 4+ years of experience in a DevOps or related role.
- Proven experience in client-facing engagements and communication.
- Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
- Proficiency in Infrastructure as Code using Terraform or CloudFormation.
- Hands-on experience with Docker and Kubernetes (EKS).
- Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
- Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
- Proficient in Python and Shell scripting.
Preferred Qualifications:
- AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
- Experience working in Agile/Scrum environments.
- Strong problem-solving and analytical skills.
Read more
Pune
5 - 8 yrs
₹5L - ₹12L / yr
MERN Stack
React Native
MongoDB
PythonJob description
Opportunity to work on cutting-edge tech pieces & build from scratch
Ensure seamless performance while handling large volumes of data without system slowdowns
Collaborate with cross-functional teams to meet business goals
Required Skills:
Frontend: ReactJS (Next.js must)
Backend: Exp in Node.js, Python, or Java
Databases: SQL (must), MongoDB (nice to have)
Caching & Messaging: Redis, Kafka, or Cassandra exp
Cloud certification is a bonus
Read more
Pune
5 - 10 yrs
₹15L - ₹20L / yr
Windows Azure
Azure Logic
Azure Service
SQL
🌐 Job Title: Senior Azure Developer
🏢 Department: Digital Engineering
📍 Location: Pune (Work from Office)
📄 Job Type: Full-time
💼 Experience Required: 5+ years
💰 Compensation: Best in the industry
🔧 Roles & Responsibilities:
- Design, develop, and implement solutions using Microsoft Azure with .NET and other technologies.
- Collaborate with business analysts and end users to define system requirements.
- Work with QA teams to ensure solution integrity and functionality.
- Communicate frequently with stakeholders and team members to track progress and validate requirements.
- Evaluate and present technical solutions and recommendations.
- Provide technical mentoring and training to peers and junior developers.
💡 Technical Requirements:
- Minimum 2 years of hands-on development experience in:
- Azure Logic Apps
- Azure Service Bus
- Azure Web/API Apps
- Azure Functions
- Azure SQL Database / Cosmos DB
- Minimum 2 years’ experience in enterprise software development using .NET stack:
- REST APIs
- Web Applications
- Distributed Systems
- Familiarity with security best practices (e.g., OWASP).
- Knowledge of NoSQL data stores is an added advantage.
Read more
Navi Mumbai, Pune, Bengaluru (Bangalore), Hyderabad, Mohali, Panchkula, Dehradun, Gurugram, Chennai
5 - 9 yrs
₹8L - ₹14L / yr
.NETMongoDBEntity Framework
C#SQL
+4 more
Job Title: Mid-Level .NET Developer (Agile/SCRUM)
Location: Mohali, Bangalore, Pune, Navi Mumbai, Chennai, Hyderabad, Panchkula, Gurugram (Delhi NCR), Dehradun
Night Shift from 6:30 pm to 3:30 am IST
Experience: 5+ Years
Job Summary:
We are seeking a proactive and detail-oriented Mid-Level .NET Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining high-quality applications using Microsoft technologies with a strong emphasis on .NET Core, C#, Web API, and modern front-end frameworks. You will collaborate with cross-functional teams in an Agile/SCRUM environment and participate in the full software development lifecycle—from requirements gathering to deployment—while ensuring adherence to best coding and delivery practices.
Key Responsibilities:
- Design, develop, and maintain applications using C#, .NET, .NET Core, MVC, and databases such as SQL Server, PostgreSQL, and MongoDB.
- Create responsive and interactive user interfaces using JavaScript, TypeScript, Angular, HTML, and CSS.
- Develop and integrate RESTful APIs for multi-tier, distributed systems.
- Participate actively in Agile/SCRUM ceremonies, including sprint planning, daily stand-ups, and retrospectives.
- Write clean, efficient, and maintainable code following industry best practices.
- Conduct code reviews to ensure high-quality and consistent deliverables.
- Assist in configuring and maintaining CI/CD pipelines (Jenkins or similar tools).
- Troubleshoot, debug, and resolve application issues effectively.
- Collaborate with QA and product teams to validate requirements and ensure smooth delivery.
- Support release planning and deployment activities.
Required Skills & Qualifications:
- 4–6 years of professional experience in .NET development.
- Strong proficiency in C#, .NET Core, MVC, and relational databases such as SQL Server.
- Working knowledge of NoSQL databases like MongoDB.
- Solid understanding of JavaScript/TypeScript and the Angular framework.
- Experience in developing and integrating RESTful APIs.
- Familiarity with Agile/SCRUM methodologies.
- Basic knowledge of CI/CD pipelines and Git version control.
- Hands-on experience with AWS cloud services.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and collaboration skills.
Preferred / Nice-to-Have Skills:
- Advanced experience with AWS services.
- Knowledge of Kubernetes or other container orchestration platforms.
- Familiarity with IIS web server configuration and management.
- Experience in the healthcare domain.
- Exposure to AI-assisted code development tools (e.g., GitHub Copilot, ChatGPT).
- Experience with application security and code quality tools such as Snyk or SonarQube.
- Strong understanding of SOLID principles and clean architecture patterns.
Technical Proficiencies:
- ASP.NET Core, ASP.NET MVC
- C#, Entity Framework, Razor Pages
- SQL Server, MongoDB
- REST API, jQuery, AJAX
- HTML, CSS, JavaScript, TypeScript, Angular
- Azure Services, Azure Functions, AWS
- Visual Studio
- CI/CD, Git
Read more
Pune, Mumbai, Bengaluru (Bangalore)
4 - 8 yrs
₹14L - ₹26L / yr
PythonPySpark
Django
FlaskRESTful APIs
+3 more
Job title - Python developer
Exp – 4 to 6 years
Location – Pune/Mum/B’lore
PFB JD
Requirements:
- Proven experience as a Python Developer
- Strong knowledge of core Python and Pyspark concepts
- Experience with web frameworks such as Django or Flask
- Good exposure to any cloud platform (GCP Preferred)
- CI/CD exposure required
- Solid understanding of RESTful APIs and how to build them
- Experience working with databases like Oracle DB and MySQL
- Ability to write efficient SQL queries and optimize database performance
- Strong problem-solving skills and attention to detail
- Strong SQL programing (stored procedure, functions)
- Excellent communication and interpersonal skill
Roles and Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using pyspark
- Work closely with data scientists and analysts to provide them with clean, structured data.
- Optimize data storage and retrieval for performance and scalability.
- Collaborate with cross-functional teams to gather data requirements.
- Ensure data quality and integrity through data validation and cleansing processes.
- Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
- Stay up to date with industry best practices and emerging technologies in data engineering.
Read more
Pune, Gandhinagar
5 - 8 yrs
₹4L - ₹8L / yr
Technical Writing
Product Documentation
confluence
Location- Gandhinagar/Pune
Roles and Responsibilities
Document technically accurate content for products including User Manuals, Quick
guide
Research and determine the technical documentation needs for the features
Estimate efforts and deliver content on time
Ensure quality of the documentation
Execute day-to-day information engineering activities
Create in-depth user guides, FAQs, technical overviews, and in-product help
documentation
Identify problem areas or structural deficiencies and proactively contribute to their
improvement
Experience creating infographics to more clearly communicate workflow processes
and abstract topics
Build and maintain client aids that go beyond traditional documentation, such as online
video, demos, guided tours, and other other educational techniques
Maintain a library of application documentation, cataloging it for internal and/or
external use
Publish and maintain templates for written documentation produced by others
(technical specifications, RFP responses, ), ensuring a consistent "look and feel."
Proven experience producing technical content for public consumption
Qualification
Bachelors degree in Engineering/core sciences, or Masters in English
Language/Technical Communication
5 to 7 years of experience in technical writing, with at least 3-4 years of experience
product documentation
Immediate joiners will be required
Read more
Remote, Pune, Mumbai
4 - 10 yrs
₹10L - ₹30L / yr
React NativeBabel
webpack
CI/CD
Jenkins +13 more
We are looking for a Senior React Native developer with 5 - 6 years of experience, in building performant mobile applications on Android & iOS platforms. You will be responsible to Architect, build React Native applications.
We are a fast growing product based startup operating out of Chennai.
Responsibilities
- Build pixel-perfect, buttery smooth UIs across Android and iOS.
- Technical design of complex mobile applications
- Leverage native APIs for deep integrations with both platforms.
- Translating designs and wire-frames into high quality code
- Diagnose and fix bugs and performance bottlenecks for performance that feels native.
- Maintain code and write automated tests to ensure the product is of the highest quality.
Requirements
- 5-6 years of demonstrable experience in designing and developing mobile apps using react-native.
- Ability to write well-documented, clean JavaScript code
- Rock solid at working with third-party dependencies and debugging dependency conflicts.
- Familiarity with native build tools, like XCode, Gradle, Android Studio and Visual Studio Code.
- Understanding of REST APIs, the document request model, and offline storage.
Below are a few perks of joining our team:
- Competitive salary
- Fully remote job
- Creative Problem Solving and Entrepreneurial Thinking
- Fast-Paced Environment
- Consistent Engagement from Senior Leadership
Read more
Pune
3 - 8 yrs
₹4L - ₹7L / yr
Recruitment/Talent Acquisition
Sourcing
Hiring candidates with experience in IT Hiring, Product/services companies. RPO
Candidates experience in Technical Hiring, End to end recruitment using job portals Naukri, linkedin.
Candidates experience in Technical Hiring, End to end recruitment using job portals Naukri, linkedin.
Read more
Bengaluru (Bangalore), Pune, Gurugram
3 - 7 yrs
₹5L - ₹12L / yr
JavaJ2EE
Struts
Spring
Hibernate (Java)
+1 more
Mobile Programming is hiring for role of Java developer
Experience-3-5 yrs
Location- bangalore,pune,ggn,
Skills: Core java,j2EE,oops,Spring,Microservices
Experience-3-5 yrs
Location- bangalore,pune,ggn,
Skills: Core java,j2EE,oops,Spring,Microservices
Read more
Pune
0 - 3 yrs
₹1L - ₹3L / yr
Customer Relationship Management (CRM)
Field Sales
Presales
Incentive heavy structure that enables candidate to take home 3 times the salary. Scope to travel internationally
Read more
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