Data Engineer

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.

The duration of this internship is 3 months. Based on the performance we would give confirmation as a full time employee. Anybody who has completed any graduation and are interested in BD, can apply. Stipend would be = 10,000/- per month for the internship period.

We are looking for a full stack developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
As a full stack developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.
If you’re also familiar with Agile methodologies, we’d like to meet you.
Responsibilities:-
Work with development teams and product managers to ideate software solutions
Design client-side and server-side architecture, Mocks
Build the front-end of applications through appealing visual design
Develop and manage well-functioning databases and applications
Write effective APIs, API management
Test software to ensure responsiveness and efficiency
Troubleshoot, debug and upgrade software
Create security and data protection settings
Build features and applications with a mobile responsive design
Write technical documentation
Work with data scientists and analysts to improve software
Requirements:-
Proven experience as a full stack developer or similar role
Experience developing desktop and mobile applications
Familiarity with common stacks
Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js, React native)
Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
Excellent communication and teamwork skills
Great attention to detail
Organizational skills
An analytical mind
Degree in Computer Science, Statistics or relevant field

Job description

Experience: At least 2- 5 years of experience in the IT industry
Technical Abilities:
You should have hands on experience in Web development.
You must have expertise in at least one of these languages: Python, Ruby, Javascript.
You should have working knowledge of a few of these frameworks: Django, Rails, Angular, React, React native.
You must have expertise in working with at least one of these databases: MongoDB, PostGres
You knowledge of the following is preferred: Hadoop, Spark, Kafka, ElasticSearch.
You should have good design development skills in web markup, including HTML5, CSS3.
You should have a solid understanding of web technologies, like, JSON, RESTful APIs, OAuth, etc.
You should be familiar with automated deployment, AWS infrastructure, Docker or similar containers.
You should be VERY well versed with Agile Methodology and Iterative development.
You should have worked in an Agile process and be familiar with standard development tools and processes Viz., code reviews, Bitbucket/Git, PivotalTracker/JIRA, etc.
In addition to Frontend skills (Angular, React, HTML, Bootstrap), they MUST HAVE server- side skills.

Hello! Welcome to ProdEx! ProdEx Technologies is one of the first software product development companies in Chennai. Since 1997, we have been developing world-class, patented products for B2B lead generation, recruiting, physical assets tracking for companies based out of the Silicon Valley. We have an excellent opportunity for talented software professionals looking for a different and exciting work experience in a product development environment. We are looking for geeks, with a passion towards their work, desire to learn and a flair for innovation. This is the perfect opportunity for geeks who want to try out new technologies or challenges or be a part of product environment and its success story. We have a special place in our company for such people! This is an urgent opening. Immediate joiners will be given special priority. ** Freshers please ignore Job Description: * 2+ years of relevant experience in the field of web development (Java & Java servlets, MySQL). * Ability to develop and deploy server based applications for business requirements. * Prototype various technologies and architectures to identify best solutions to given problems. * You will work with Java, GWT, Servlets and RESTful APIs on Windows/linux in a fast paced environment. Desired Candidate Profile * Expert knowledge of client-side JavaScript application development * Proven experience building mobile applications for Android (using Java) * Ability to ensure the performance, quality, and responsiveness of applications * Knowledge of a database management systems like MySQL or Oracle, experience of handling big data is a plus. * Constant interest in staying up­to­date with the latest trends in UI design, Web design, Mobile Apps etc. * Passionate self-starter who can learn quickly. Education - B.Tech/B.E. - Computers, Electrical, Electronics/Telecommunication Valuable Prior Experience - 2 - 4 yrs Location: Chennai, South India Remuneration: If you align with the culture and have the required skills, rest assured

- To recruit sales managers for blocks- To trained and support them- To aware them their job role and responsibilities- To aware them their salary and targets- To focus over business development opportunities- To generate leads for business individually as well as through team- To handle dealers and distributor network- To generate sales- To generate revenue- To achieve team sales target

We are looking for a Node.js Professional responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. Responsibilities • Integration of user-facing elements developed by front-end developers with server side logic • Writing reusable, testable, and efficient code • Design and implementation of low-latency, high-availability, and performing applications • Implementation of security and data protection • Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.) Skills And Qualifications • Strong proficiency with JavaScript • Strong working knowledge of Node.js and frameworks available for it such as Express. • Understanding the nature of asynchronous programming and its quirks and workarounds • Good understanding of server-side templating languages such as Jade, EJS, etc • Good understanding of server-side CSS preprocessors such as Stylus, Less, etc • Basic understanding of front-end technologies, such as HTML5, CSS3 and Angular • Understanding accessibility and security compliance • User authentication and authorization between multiple systems, servers, and environments • Integration of multiple data sources and databases into one system • Understanding fundamental design principles behind a scalable application • Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform • Creating database schemes that represent and support business processes • Implementing automated testing platforms and unit tests • Proficient understanding of code versioning tools, such as Git • Professional Competency: Degree/Diploma in Computer Science. Work culture: Challenging but cool environment, flexible work hours, well-defined tasks and timelines, Flat hierarchy - no work politics. Opportunity to get involved with talented IT Geeks and be part of awesome products and team. Our Success Mantra “Coming together is Beginning, Keeping together is Progress, and Working together is Success”

Frontend Developer with JS, HTML, CSS, SASS, etc. 
Additional Knowledge of React, Redux, hooks will be preferred. 

Job Summary:
     Welcome to AA MANPOWER SOLUTIONS!!!!

         Your resume makes you an excellent candidate for the following job. We would like to invite you to an interview with our organization Head for immediate openings in AUTO PARTS MANUFACTURING Companies on Interview going on.

Responsibilities and Duties

• Plan, manage, and oversee all elements of production in our factory
• Access and analyse current production methods
• Develop and draft an improved production process
• Establishes statistical confidence by identifying sample and acceptable error; determining levels of confidence

Graduate Engineer Trainee / Associate Engineer /Junior Engineer /Production Engineer/Quality Inspector/Technician/CNC Operator/Design

Department: Production, Quality, Maintenance, Stores, QC Documentation, Solid work, Auto Cad

Work Time: 8 hours Shift (Rotational)

Gender: Male & Female

Qualifications and Skills:

 

Diploma /BE: MECH, EEE, ECE, AUTO

Experience Eligible

Salary: 12000 TO 25000 (For month)

Experience: 10-30 % Hike of Previous Salary

Designation: GET (Graduate Engineering Trainee) and On Role job Production Engineer/Quality Engineer/ Design Engineer

Interview Date:

Direct Walk In…

Last Date: 18th November to 30 November(2019)

Benefits

* PF & ESI

* Free Food & Transport

* Every Year Increment

* Accommodation (Depends on the company)

* Immediate joiners only can CALL for further details 
Job Type: Full-time

DOCUMENTATION:

1. Copy of your current updated resume
2. Recent passport photograph
3. A Hard or soft copy of this mail (MUST)