AI Project Field Engineer

Are you a front-end developer looking to fast-track your learning and growth? Have you looked at world class products like Asana, Notion, or Airtable, and felt “I wish I were part of the early team that built these products”?

We’re a team that has previously built and rolled out globally successful SaaS products used by tens of thousands of customers. We’re laser focused on delivering a world class new product again, and looking for an ambitious front-end engineer to join our existing team of 9 engineers.

If it excites you to think of a fast paced start-up environment, building something big from scratch, breaking down new problems, creating well structured UI components, executing on pixel perfect design, paying great attention to every little interaction detail, and doing demos of your work every Friday with a happy and passionate team, then this is the right opportunity for you.

Some of the tech problems you get to work-on as a front-end developer would include building real-time collaboration experiences across our product, building live document editing and modern spreadsheet experiences from scratch, creating flexible new Kanban-style views of work tasks, and crafting cool new UI components and interactions that we will use across our product.

About you:

• Knowledge in the following areas
• React
• SPA Framework patterns
• Hands-on experience in HTML, CSS, SASS & Object Oriented Javascript
• Worked with features provided by browsers (Caching / Storage / Compatibility etc )
  
  

Nice to have:

• Familiarity with AWS
• Experience with startups or early stage teams
• Knowledge of module bundlers like Webpack 

What’s in it for me?

• Great opportunity: Rocketlane genuinely cares about everyone we hire. You’ll learn new things and grow no matter how experienced you are; you will be working with founders who have more than three decades of collective experience in building significant B2B SaaS startups. 
• Great team: Work with a world-class, high-velocity team that truly embodies the values of empathy, curiosity, and customer-centricity. Check out thehttps://www.linkedin.com/feed/hashtag/?keywords=rocketlane_meet_the_team"> MTT(Meet The Team) videos on our LinkedIn. 
• Great culture: An open, fun, and exciting startup culture that empowers its people to champion big problems with the freedom to think and innovate.
• Growth:  You could easily and quickly transition into other sales roles you might like.
• Impact: You get to be part of a global, passionate team in a fast-paced and growth-oriented environment. The team has a work philosophy of being high on ambition, ownership, and a bias for action.
• Monetary rewards and benefits: Competitive salary, flexible leave policy, and more! 

 

Desired Candidate Profile

What you need to have:

• MBA from Tier-1 colleges (IIMs, XLRI, SPJain, FMS etc)
• Min 7 years of marketing experience. Out of 7 years of Marketing experience, minimum 3 years in handling brand profile
• E-comm, Health Tech, Ed Tech, Fin Tech, FMCG, Telecom background preferred
• Expertise in running ATL / BTL led marketing campaigns
• A go-getter with ownership and commitment
• Strong communication and interpersonal skills
• Ability to work cross-departments to achieve results    

 

 

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.

Key Responsibilities

• Write clean, testable code using .NET programming languages
• Test and debug various .NET applications
• Deploy fully functional applications
• Upgrade existing applications
• Document development and operational procedures

Technical Competencies

• Understanding of object oriented programming concepts, design patterns and SOLID principles
• Must have hands on experience with C#, ASP.NET, MVC, Windows Services, .NET Entity Framework, SQL Server/T-SQL, IIS and related technologies
• Understanding of REST APIs and WCF
• Understanding of modern techniques such as Responsive Web Design, LINQ, Dependency Injection and Design Patterns
• Must have hands on experience of web client technologies inclusive of HTML5, CSS3, JavaScript, AJAX, JSON and JQuery
• Knowledge of various industry standard development practices (Agile methodology, OOD, TDD, BDD)
• Must have hands on experience of tools to enable SDLC (TFS, Visual Studio, etc.

If interested please share your profile on below link-

• https://smrtr.io/bqCWb" target="_blank">https://smrtr.io/bqCWb

They have developed a patent-protected technology to power a global, liquid market for both wholesale and investment diamonds. They are combining their revolutionary trading technology with deep knowledge and connections within the industry, and providing a full gamut of clearing & settlement services.

 

 

• IIT/NIT Graduates Preferred
• B.E/B.Tech with 1-2 years of experience in Ruby on Rails
• Hands on experience with using libraries such as RSpec, Beanstalkd, Faye and   background processing.
• Good knowledge of at least one of the Javascript frameworks like EmberJS, AngularJS
• Have a background in functional composition of web pages using HTML / CSS, and  turning a wireframe design into a well-formatted, user-friendly responsive web page
• Follow best practices like test-driven development, continuous integration, Agile    methodology, refactoring and code standards
• Proficient understanding of code versioning tools e.g. Git, Mercurial or SVN
• Good knowledge of schema less databases such as Elastic search, redis as well as  Relational Databases such as PostgreSQL
• Excellent problem solving skills and bringing in new, innovative ideas to the table to  make the platform more productive
• Hands-on experience on deployment and maintenance of server (knowledge about AWS  and performance monitoring tools like NewRelic / CloudWatch will be a great plus)
• Should be committed to the job and the growth opportunity in a startup
• Should enjoy working as part of a team
• Should be  proactive, self-driven, and able to thrive in a fast-moving startup environment 
• Should communicate fluently and effectively in English, internally and with external partners

Roles and Responsibilities:

• Installation, configuration and upgrading of Oracle server software and related products.
• Establish and maintain sound backup and recovery policies and procedures.
• Take care of the Database design and implementation, including Patch Management and Version Control. Implement and maintain database security (create and maintain users and roles, assign privileges).
• Perform database/application tuning and performance monitoring.
• Setup and maintain documentation and standards.
• Plan growth and changes (capacity planning).
• Work as part of a team and provide 24x7 support when required.
• Perform general technical troubleshooting and give consultation to development teams.
• Interface with Oracle Corporation for technical support.
• Analyse potential impact of problem resolution and take corrective measures when needed.
• Root Cause Analysis.

Education, Skills and Experience required:

• Engineering or Technical Degrees (BE/ B.Tech/ ME/ M.Tech/ M.Sc / MCA)
• Minimum 4 years of relevant industry experience.
• Must have experience on multiple Hardware and Software Environments and be comfortable with complex heterogeneous systems environments.
• Must be an Oracle Certified Professional DBA (11g or above) with hands-on experience of RAC, RMAN.
• Good understanding of the Oracle database, related utilities and tools and underlying operating system.
• Excellent knowledge of the physical database design and all Oracle backup and recovery scenarios.
• Developing, managing and testing back-up and recovery plans. Data archival and space management.
• Ability to perform both Oracle and operating system performance tuning and monitoring.
• Good knowledge of Oracle security management and Oracle data integrity.
• Experience in code/data migration, database change management and data management through the various stages of the development life cycle.
• Sound knowledge of both database and system performance tuning and implemented application systems.
• Should have the ability to handle multiple projects and deadlines.
• Male candidates preferred as the role requires working in shifts.

Who We Are:
KeepTruckin is on a mission to modernize the trucking industry. With the leading fleet management platform, we are bringing trucks online and fundamentally changing the way freight is moved on our roads.We see our hard work rewarded in tangible ways every day and we believe that intelligence is most powerful when paired with humility. We're motivated by the opportunity to impact and improve every facet of a trillion-dollar industry that touches everyone's lives. KeepTruckin is proud to be a Forbes Cloud 100 company, a 2020 Career-Launching Company by Wealthfront and named a Forbes Best Startup Employer 2020.About the

Role:
As one of our first mobile engineers in Bangalore, this is a great opportunity to make a significant impact in designing and building our new KeepTruckin Fleet Manager Android app and as well as grow by working directly with experienced technology professionals with backgrounds from Silicon Valley companies like Google, Twitter, Facebook and Uber (to name a few). We are looking for candidates who have a familiarity with Java and Kotlin, and a good understanding of system architectures (MVC, MVVM, Redux) and a forward thinking mindset aimed at high readability (declarative) code, as well as identifying problems or bottlenecks before they become issues.

What You'll Do:
Develop from scratch our new Android KeepTruckin Fleet Manager AppWork with product team to refine feature specs, and work with cross functional teams like IoT, Embedded, Data Science/ML, Computer Vision & Motion teams to create fluid user experiences with interactive visualization for a multitude of data from these different teamsCommunicate with backend engineers about API requirements or refinements, and engage with the senior engineers for mentorship to learn & grow in your areas of interestAnalyze our user's data to identify bugs, and help support team to diagnose user problemsBe able to work as part of a small, tightly knit team

What We're Looking For:
2-4 years of experience working on Android apps with a deep understanding of Android SDKsProficiency in Java, Kotlin, Android lifecycle, custom views, database/persistenceAn understanding of Android UI/UX and application design paradigms. An appreciation and understanding of automated app testingKnowledge in RxJava2, Dagger2, and knowledge or interest in commercial vehicles/trucking is a plus!

Creating a diverse and inclusive workplace is one of KeepTruckin's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.Please review our Candidate Privacy Notice here. ( https://drive.google.com/file/d/1Xs7GivrHCj05XC6-mn6MsRGG3V5AcgZ5/view?usp=sharing )