Business Developer

Required Skills:

• ASP.NET, C# .NET, SQL, Web API
• jQuery, JavaScript

Experience:
6+ years of experience in Dot Net Technologies with relevant experience into tech lead positions.

About Company:

Your day-to-day responsibilities include:

• Technically lead a team of 6-8 .NET developers
• Understands the requirement assigned for the development
• Performs the unit testing 
• Resolves bugs assigned, withing SLA time.
• Perform day to day activities of agile methodology
• Leads Daily Huddle & Scrum meeting.
• Takes responsility of CR developmet with all tasks included for it.
• Should perform code review whenever required

Hi,

Greetings!

NextSphere is hiring for Java Resources.

We have an openings with our company at Chennai location for Java Position.Please find the JD Below.

JD:
Total Experience : 4 to 7 Yrs
Job Location : Chennai.
Interviews Mode : Virtual.
Position : Sr SoftWare Engineer.
Mode : Permanent.
Education : BE or Btech or MCA or equivalent is a must


//***looking for the candidate who can join immediately or 30 Days Max.Here is a right opportunity to design your career at early stages of your professional life.***//

The job specification as below:

• Strong hands-on Experience in Core Java, Advanced Java.
• Experience in Java Script,HTML,CSS,Spring Framework, Sprint Boot, Restful Services.
• Knowledge in Angular.
• Any Relation Database (MySQL, SQL or Oracle)


Regards,
Meenakshi.G

Aapka Painter is the easiest way to paint your home or office, bringing efficiency, simplicity, automation and service guarantee to the 1 lakh crore Indian painting industry through technology integration. Aapka Painter is built on a vision to revolutionize the way homes and offices get painted, globally. There are a lot of negotiations, compromises, and running around - right from paint selection, finalizing the shades, and patterns to finding a painter to getting a quality job done on time and within the budget. Interestingly, all these steps are parallel, connected in series with the actual painting job. The idea of Aapka Painter is rooted in removing the pain from painting. Plan, pre-review, and paint. We also believe in designing each house rather than just painting with any color.

We are looking for sales and operation executive with go getter attitude. It's an executive's job to make sure AapkaPainter's operations are running as well as it possibly can, with a smooth efficient service that meets the expectations and needs of customers and clients.

Responsibilities and Duties
1. Meet leads for assessment and solution offering.

(Leads and appointments will be provided by company)

2. Prepare quotation as per client requirements

3. Handle and resolve feedback, complaints or conflicts

4.Highly self-motivated

5.Possess strong work ethics and keep information confidential

Qualifications and Skills
Graduates Preferred
Sales Experience Preferred

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.

Need to create an iOS app which also involves  AR functionality. Basically would be using AR Kit through which uszd and glb models can be hosted.

1. Experienced iOS Developer with full-time work experience in developing iOS apps for iPhone, iPad, iPod.
2. Should be proficient in Swift and Objective C and use Xcode, Cocoa libraries, and other third-party libraries to develop apps.

3. Familiarity with RESTful APIs to connect iOS applications to back-end services

Proxim Quest IT Solutions is looking for a Full Stack Developer- Job Description: 3+ years working with Javascript on either the front-end or the back-end of a web application Significant exposure to Angular development. Experienced and interested in Node.JS or other back-end programming language or framework Proficiency in front-end languages like HTML, CSS, JavaScript, and jQuery Solid understanding of OO and application design particularly as it relates to web development Must be familiar with all stages of the development life cycle including analysis, design, development and support. Exposure to agile approaches is advantageous especially test driven development. Solid understanding of web heuristics and design. If interested, please share the details below: 1. Current CTC 2. Expected CTC 3. Notice Period Job Type: Full-time

What you’ve done in the past: You have been a founder of a company or led a company from their conception to execution. A single definition or a one-size-fits-all is not something you believe in. You have always been the misfit of the group. You know what end to end ownership and commitments means and have demonstrated the same in your work. You are a leader. You can drive your team to sell ice to an Eskimo. A day in your life now would be: You will work closely with the founders in identifying and evaluating new business opportunities. You would be taking ownership of critical internal processes and driving them. From Marketing to Design and Talent Acquisition to Product management and sales and everything in between. You’ll be joining a team that’s worked for some of the biggest names in the industry. The learning curve will be steep. The pace will be brutal. But if you’re willing to put your head down and work, together we’ll turn an emerging idea into a multi-million dollar project in 2 years.