Engineering Manager
Wedding Services Aggregator
6 - 9 yrs
₹30L - ₹40L / yr
Delhi, Gurugram, Noida
Skills
React.js
NodeJS (Node.js)
AngularJS (1.x)
PHPAngular
Engineering Management
engineering manager
MEAN stack
MERN Stack
Object Oriented Programming (OOPs)
LAMP Stack
SQL
Jasmine (Javascript Testing Framework)
RESTful APIs
Product Strategy
Work with a team of wedding planners, who are helping Indians realise their wedding goals by making it WOWsome!
Our client is a one-stop platform making it easier for couples to find all that they need for their dream wedding. They serve as a one-stop-shop for all the needs of a wedding function, from dates, location, clothing, vendors, photographers, catering, and gifting to assisting with traditions for every culture followed across the country.
The team of nearly a hundred employees is led by a husband-wife duo, with tremendous knowledge of Marketing and Economics, and experience of multiple years in the corporate world. Their website and app helps couples plan and reach out to 40000 vendors across destinations in India, and inspires them to create an event as per their yearning. Having received Series A funding of $2.6Mn recently, they are expanding their market to cover budget weddings too, in a perpetually growing industry.
As an Engineering Manager, you will take ownership of the product's architecture, database, and servers, Research and apply best practices of software development to build a world-class product.
What you will do:
- Being involved across all aspects of the product codebase (Current and future)
- Building, leading, developing and providing hands-on leadership for Developers
- Creating clear career paths for team members to help them grow with regular and deep mentoring, attracting and retaining top talent keeping long term goals in mind
- Driving strategy and vision across teams in a rapidly evolving environment
- Providing thought partnership to the product team and ensuring collaboration among product, engineering, and business operation teams
- Driving agility in execution, creating a strong team culture of responsiveness by leading by example and owning decision making around prioritization for better predictability
- Maintaining strong partnership with product and business teams to demonstrate effective collaboration and communication across multiple stakeholders
What you need to have:
- Btech/ Mtech from Premium Institute
- Strong Logical and Analytical skills.
- Extensive experience in LAMP and/ or MERN/ MEAN Stack.
- JavaScript Framework/ Library experience a bonus.
- Extensive experience in and understanding of OOPS & MVC concepts.
- Strong back-end background; Experienced in Restful APIs, DB Mgt & SQL.
- Consumer Tech Orientation.
- Excited at the problem being solved.
- Individual contributor; As well as ability to work in and eventually lead a team.
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₹1L - ₹3L / yr
Linux administration
Red Hat Linux
Job Title: Linux System Engineer - Client Site Deployment
Company: TechMonarch Infocom LLP
Location: Ahmedabad, Gujarat
Experience: 2+ Years
Job Summary:
TechMonarch, a leading IT Managed Services provider, is seeking a skilled and customer-focused Linux System Engineer to join our dynamic team. This role is crucial for providing on-site technical support and expertise to our valued clients. The ideal candidate will possess a strong foundation in Linux system administration, hardware, networking, cloud infrastructure, and basic firewall management. Furthermore, excellent professional conduct and communication skills are paramount, as this individual will represent our company directly at client locations.
Responsibilities:
• Provide on-site technical support and troubleshooting for client Linux-based systems and infrastructure.
• Install, configure, and maintain Linux servers (e.g., CentOS, Ubuntu, Red Hat Enterprise Linux).
• Perform system monitoring, performance tuning, and capacity planning.
• Troubleshoot hardware issues related to servers and related peripherals.
• Assist with basic network configuration and troubleshooting (TCP/IP, DNS, DHCP).
• Interact with cloud infrastructure platforms (e.g., AWS, Azure, GCP) for deployment, management, and troubleshooting.
• Implement and maintain basic firewall rules and configurations.
• Perform regular system backups and recovery procedures.
• Document technical issues, solutions, and configurations clearly and accurately.
• Collaborate effectively with internal teams and client IT personnel.
• Maintain a professional demeaner, appearance, and communication style at client site.
• Adhere to client-specific security policies and procedures.
• Proactively identify potential issues and recommend solutions.
• Stay up-to-date with the latest technologies and industry best practices.
Required Skills and Experience:
• Minimum of 2 years of hands-on experience as a Linux System Administrator/Engineer.
• Proven ability to install, configure, and manage various Linux distributions (e.g., CentOS, Ubuntu, RHEL).
• Solid understanding of server hardware components and troubleshooting.
• Basic knowledge of networking concepts (TCP/IP, DNS, DHCP, subnetting) and troubleshooting tools.
• Familiarity with cloud infrastructure platforms (AWS, Azure, GCP) and their core services.
• Basic understanding of firewall concepts and the ability to manage basic firewall rules.
• Experience with scripting languages (e.g., Bash, Python) for automation is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication (verbal and written) and interpersonal skills.
• Ability to work independently and as part of a team.
• Strong organizational and time management skills.
• Must possess a professional and customer-oriented attitude.
• Willingness to travel frequently to client sites within the Ahmedabad region.
Desired Skills (Good to Have):
• Experience with monitoring tools (e.g., Nagios, Zabbix, Prometheus).
• Familiarity with security best practices for Linux systems.
• Relevant certifications (e.g., Linux+, LPIC, AWS/Azure/GCP certifications).
Personal Attributes:
• Professional and presentable demeaner.
• Excellent communication and interpersonal skills.
• Strong work ethic and a proactive approach.
• Ability to build rapport and maintain positive relationships with clients.
• Adaptability and flexibility to work in different client environments.
• Problem-solving mindset with a focus on finding effective solutions.
• Reliable and punctual.
Education:
• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent practical experience).
Vasu GalaJob Title: Linux System Engineer - Client Site Deployment Company: TechMonarch Infocom LLP Location: Ahmedabad, Gujarat Experience: 2+ Years Job Summary: TechMonarch, a leading IT Managed Services provider, is seeking a skilled and customer-focused Linux System Engineer
Read more
A leading IT based international MNC @ Bangalore !!!
Agency job
via Tridat Technologies Pvt. Ltd. by Shraddha Kamble
Bengaluru (Bangalore)
10 - 25 yrs
₹1L - ₹15L / yr
.NET
Java
Python
Docker
Kubernetes +2 more
Hello,
Greetings for the day !!!
Tridat Technologies is hiring " Technical Architect" for one of the international MNC specialized into Hardware & Networking based @ Bangalore !!!
Position: Technical Architect
General Summary:
- The Technical Architect is responsible for the overall architecture, design, implementation, and integrity of the organization’s applications consumed by TSPs. The architect is responsible for ensuring that the solution delivered to business units is engineered in accordance with organization’s architecture tenets and infrastructure standards.
- This position is for the Business Management Software division that enables the MSPs to streamline, manage their operations, and achieve operational maturity with the following products and many more.
Our Global Engineering team works in the following Tech Environments:
Languages: .NET, python, golang, java, javascript, typescript
Frameworks: .NET core, spring, react, mui
Cloud Platform: AWS, Azure
Runtime: Docker, kubernetes, ecs, eks, ec2
Databases: Postgres, SQL Server, Cassandra, MongoDB, DynamoDB, Document DB, Snowflake, ElasticSearch
IDEs: VS Code, IntelliJ, Visual Studio
Others: Kafka, EMR, S3, SQS, Trino, Sage maker
Essential Duties & Responsibilities:
- Hands-on development experience using current software patterns including web services, web APIs, message queues, service-oriented & microservices architecture.
- Candidates should have designed products on AWS or any other public cloud.
- Should have an understanding of the Infrastructure, involved in hosting on AWS, pricing, and load balancer.
- Have expertise in one or more areas like building and scaling web apps, Machine Learning, UI Engineering, Information Visualization, CRM solutions
- The candidate must have demonstrated the capability of Architecting a scalable SAAS-based platform.
- Should have experience in enterprise applications in the cloud or on-premise environments, and multi-tenancy applications.
- Candidate must have Continuous integration experience, and conceptual knowledge on continuous delivery.
- Should have experience in any NoSQL database (Cassandra/MongoDB is preferred).
- As an architect, the person would be responsible for the suggestion and implementation of new technologies.
- Has delivered multiple versions of a SaaS-based product to production.
- Has made design decisions for a product & lived with the consequences of decisions. Has successfully introduced new technology.
What is the interview process?
- Your application will be screened within 30 days.
- All Engineering positions will go through 3 rounds of technical interviews.
- Each round will be approximately 1 hr which is then followed by a managerial round and an HR Round.
- Please note all rounds will be done subject to feedback provided in the earlier round.
- There will be a face-to-face interview at the Bangalore office during the final 2 rounds.
What can you expect in the Technical Interview?
- Questions that show you have a problem-solving ability
- We would love to see you code and how you solve technical problem(s).
- Questions about modules you have used to date while developing applications.
- Agility and Adaptability to technology and environment
- The architect will be expected to be hands-on with the Amazon Cloud Platform on products integrating with Microsoft 365, Azure, and third-party vendors in addition to enhanced reporting using data mashups to improve MSP (Managed Service Provider) Operational Maturity model.
EXPERTISE AND QUALIFICATIONS
Knowledge, Skills, and/or Abilities Required:
- Hands-on architect in multiple programming languages and willing to work on new tech stacks.
- Ability to work constructively and independently under stress and pressure in a fast-paced, multi-tasking environment. ·
- Ability to interact positively and openly with colleagues and external business contacts, with strong verbal and written communication skills
- Maintains a deep understanding of programming and coding fundamentals, architecture, and design in multiple languages.
- Drives technology transformation initiatives, working with cross-functional teams to identify and implement new technologies, frameworks, and tools that can improve the team's productivity and efficiency.
- Ensures that the team follows software development best practices, including coding standards, code reviews, automated testing, and continuous integration and deployment.
- Recommends new tools, processes, and practices that can improve the team's productivity and efficiency.
- Leads the technical design and architecture of software products, ensuring that they are scalable, maintainable, and meet the needs of the business.
- Presents technology transformation plans and progress reports in a clear and concise manner to leadership cross-functionally.
- A strong proponent of engineering best practices for Unit Testing, Coverage, Code Quality, Continuous Integration & Continuous Deployment.
- Candidate must have demonstrated capability to optimize usage of AWS/Cloud resources
- Strong ability and desire to coach engineers to adopt industry best practices and design strategies
- Experience in Agile Scrum processes, including a solid understanding of how to deliver an MVP and build on it.
Educational/Vocational/Previous Experience Recommendations:
- BE/BTECH(CS/ECE) / Post Graduation · 10+ years of relevant experience
- Deep Experience leading technology transformation initiatives, including the adoption of new technologies, frameworks, and tools
- Domain experience in one or more areas Fintech, Accounting, ITSM, and Data Visualization.
- Stays up to date with emerging technologies and software development
Working Conditions: Hybrid
Employment Mode: Permanent
Working Days: Mon to Fri
Location: Bangalore
Thank You & Regards,
Shraddha Kamble
HR Recruiter
Read more
Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
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+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
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Appium
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Company Background
Zimyo HRMS (A product of Zimyo | www.zimyo.com), is one of the fastest-growing employee experience platforms in the world serving over 1000+ organizations and empowering over 200,000+ employees through our SaaS-based HRMS and Benefits Platform. We help organizations streamline their entire HR and Payroll processes, with a particular focus on helping their employees with financial solutions like salary advances, personal loans, health insurance, etc.
We are a team of Product Management and FinTech honchos & alumni of distinguished institutions (IIT/IIM/ICAI) and we are building something at the cutting edge of HR & FinTech Universe (Embedded Finance is the word)! We have most recently raised Series A funding from IndiaMart and BeeNext and looking to expand our team.
We are building something that is unique, real, and Impactful. If you carry a similar passion, we'd love to hear from you!
Job Description
We are looking to hire Senior QA Automation Engineers with the below expertise:
- Minimum 3+ years of total QA experience and out of that 1+ years should be on Automation.
- Should have a working knowledge of SQL and UNIX Good test analysis and defect reporting skills.
- API Testing experience.
- Should be capable in Integration, Regression, Compatibility, and Performance Testing.
- Database Testing experience.
- Manual and Automation Testing experience.
- Language: Java and/or Node.js.
What is in it for you:
- Opportunity to learn, grow and be a role model for young team members
- One of the best ESOP programs
- Group health insurance and other financial benefits
- Meritocratic culture with the promise of rapid career progression.
- Experience of a growing company with a focus on the personal growth of all team members
- Opportunity to work with the Founders
- 5 days working (Mon-Fri)
Read more
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HTML/CSSASP.NET
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- Ensuring responsiveness of applications.
- Working alongside graphic designers for web design features.
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₹16L - ₹32L / yr
React.jsTechnical Architecture
JavascriptWe are looking for a frontend engineering lead to build an exciting SaaS product. 5-10 years of relevant experience
Skills:
- Excellent Javascript Programmer
- Advanced ReactJS knowledge
- HTML/CSS
- Responsive Layouts
- Database, ORM, GraphQL
- Team mentoring, training and handling
This is an opportunity to start from the first line of code written. To help build and scale the entire product and take it to market. It's an exciting journey, to say the least. As an early team member, you will have ample growth opportunities in the organisation.
The office is located in Sai Radhe complex behind the Hotel Sheraton near Pune Station.
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Hyderabad
1 - 5 yrs
₹4L - ₹20L / yr
JavascriptPython
Django
Flask
Amazon Web Services (AWS) +3 more
Mutual Mobile is a world leading agency in mobile and emerging technology innovation and we are looking for an accomplished and capable full stack engineer to join our team!
We have built our success through timely bets on emerging technology and rapid execution of targeted marketing campaigns and skills development. This approach has resulted in a list of premier clients that come to us to build innovative experiences using emerging technology (Nike, Google, GM, Nestle, UnderArmour). We’ve seen this happen with iOS, Android, Wearables and IoT. We continue to evolve - it’s in our DNA - we stay on the forefront of innovation. Now, in 2018, we stand at the foot of a massive transition in emerging technology with the growth of Virtual Reality, Augmented Reality, Voice, Bots, and more. We are ready to embrace these changes and to help our clients make the most of the opportunities they bring.
At Mutual Mobile, Engineers are highly-capable, experienced producers of high-quality, extensible code. They know the ins-and-outs of their field, apply that knowledge to solve the most difficult problems, and pass along that knowledge to the next generation through mentorship. They:
Improve the structure, quality, and extensibility of code bases
Implement tools and best practices
Create reusable libraries and frameworks
Act as subject matter expert and contribute to the server center of excellence
Accurately estimate level of effort
Discover and evaluate new tools and technology partners
We expect Engineers to:
Be highly-capable experts in at least one technology
Build breadth across multiple tech stacks
Write high-quality, extensible, testable code
Participate in planning activities and provide accurate story estimates
Conduct code reviews and act as a role model on the team
Proactively breakdown work, identify risks, and explore solutions
Engineers have experience:
Building server applications in Python
Strong knowledge on Flask or Django
Employing strong TDD and performance optimization strategies
Architecting and deploying applications for AWS and other cloud providers
Provisioning Devops tooling and continuous integration
Designing APIs consumed by many mobile or web applications
Using relational and document-store databases
Building high-performance, scalable cloud applications
Shipping fault-tolerant, highly-available systems in production
Good knowledge on basic authentication, authorization and security technologies.
Preferred experience includes:
Building server applications using several different open-source stacks
Using BaaS providers like Firebase or Heroku
Familiarity with modern front-end development such as React or Angular
Using containerization systems like Docker or Kubernetes
Integrating third-party systems: CRM, CMS, shopping carts, and payments
Broad architectural knowledge and experience: serverless, microservices, traditional server-based (monolithic) services
System monitoring and security design and implementation
Why work for Mutual Mobile? We make great products. We craft beautiful mobile interfaces and solve complex software challenges. Clients such as HEB, Google, lynda.com, Citi, Nike, and Under Armour come to us for our deep experience in mobile and emerging technology — from establishing a mobile strategy that provides impactful business value, to building those solutions from the ground up. We bring together the brightest minds in interactive & visual design, engineering, and business management to deliver solutions that actually matter.
You’ll love working here, because this isn’t a company of silos. Team members are empowered and encouraged to pursue cool ideas, think for themselves, and make mistakes. If your passion extends beyond the role, we’ll invite your views and assistance with improving our culture, systems and processes. We know you’re smart, and that you love learning new technologies--so you’ll be able to work on a variety of projects with many different types of people.
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Pune
10 - 12 yrs
₹15L - ₹20L / yr
2-4 years of experience in project Management
Having worked in large team and complex projects
having prior java development experience and worked in agile with...
• Good knowledge on Project Planning and Project Tracking at macro level Strong ability to manage and execute on multiple project timelines and priorities
• Experience with Scrum methodology and Agile practices. Should have experience to JIRA
• Strong leadership, project management skills, time management, and problem solving skills
• Experience in customer handling and should have working in different project phases.
• Experience in requirement gather and task mapping.
• Experience in effort estimation, project reporting and status tracking.
• Should have experience in project level budget control, budget and resource management. Internal project status reporting and customer project status reporting.
• Hands on experience in designing and developing applications using Java EE platforms / Java Spring Framework
• Object oriented analysis and design using common design patterns.
• Profound insight of Java and JEE internals (Class loading, Memory Management, Transaction management etc.)
• Excellent knowledge of Relational Databases (Postgress, MSSQL, MySQL, Oracle ), SQL and ORM technologies (JPA2, Hibernate)
• Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC
• Strong experience in Java, JavaScript, AJAX, DOJO / jQuery toolkit
• Strong understanding of Web servers (Apache / IIS / Nginx / Web Sphere)
• Exposure to Elastic Search, Load balancers, Cache Layer such as Redis / Memcache etc will be added advantage
• Strong exposure to operating systems internals (Linux / Windows)
• Strong exposure to development standard and quality process.
• Expertise in Version control SVN / GIT
• Strong exposure the multitier architecture.
• Exposure to application design / API driven development design.
• Exposure to AWS and other cloud technologies will be added advantage
• Strong analytical skills and good problem solving skills.
• Experience in handling large teams, with good interpersonal skills
• Self-motivated, team player, action-and-results oriented
• Well organized, good communication and reporting skills
• Ability to successfully work under tight project deadlines.
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Bengaluru (Bangalore)
0 - 2 yrs
₹3L - ₹4L / yr
Cataloguing
MS-Excel
Good communication skills
We are looking for a candidate with 1-3 years experience (e-commerce experience in catalog is required)
JD
• Converting raw data to final content which would be live on the website
• Setting up the products on website across categories
• Reviewing all available data and researching for missing information
• Ensuring that the website content is accurate and up to date
• Contributing to reducing and solving issues in catalog for optimizing speed of the catalog upload process.
Must have-
• Proficiency in MS excel ( Mid- High level)
• Good communication skills
• Ability to work in teams
Good to have-
• Previous experience in online catalog
• Content writing skills
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ENGINEERING LEAD
ABOUT US:
Businesses and customers have always struggled with returns, damaged, unwanted
inventory. Current returns management, refurbishment, and liquidation channels are
disaggregated, inefficient, and fragmented – meaning both the customer and the
business are losing money & trust in the quality of products. And that is where
Overcart steps in.
Overcart builds a transparent ecosystem, we restore trust to consumers buying
refurbished goods by ensuring quality & great pricing, as well as providing warranties
& build an integrated partnership with e-commerce companies, manufacturers, and
distributors.
We’re a strong (yet slightly crazy) team with offices in Delhi, Gurgaon, Mumbai &
Bangalore – the main HO is in Gurgaon. We’re backed by one of the largest global
funds based in the Valley, Omidyar Network; one of the big Indian power-houses,
JSW, and legendary Angel investor K Ganesh.
YOUR ROLE:
Overcart is a technology-driven company: right from a traditional online store on the frontend to a (what will be) state-of-the-art returns management software for our clients to a comprehensive market-driven algorithm that determines the right price of unboxed products. You get to build the back-end infrastructure to support a highly integrated logistics and sales platform, evolve the front-end and UI to drive higher traffic and conversion, as well as build the technology group and culture within the group.
Your role as full stack engineering lead involves hands-on coding as well as understanding the business to play a strategic role. Your measure of success is determined by how effectively you are able to scale the technology to meet business needs. You will be expected to project manage tasks, review and write code, determine and scale backend architecture etc.
SKILLS AND ATTITUDE:
Experience with Python + JAVA , MySQL, Any NoSQL DB.
Competent HTML/CSS/Javascript coding abilities - including the latest standards (HTML5, CSS3) and Web 2.0 / AJAX
Good to have experience in Bootstrap and JS MVX Frameworks[AngularJS, ReactJS, KnockoutJS]
Experience in Technologies like Redis, Solr, RabbitMQ, Memcache
Experience using version control systems (SVN, Git)
Strong written and oral communication skills - ability to write technical documentation
Knowledge or expertise in managing and optimizing AWS instances is strongly preferred.
Ability to self-learn new languages, and solve problems.
Not thinking that UX/UI is for numpties (and boring)
Ability to think outside the box and bring fresh ideas to the table
Willingness to work in a start-up environment: meaning longer hours, complex work, but way more fun and a significant boost to your career.
Experience in mentoring developers and task planning.
Minimum 5 years experience in technology roles (incl. some full stack dev)
Sense of humour essential
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