Customer Solutions Associate

We are looking for a Java developer responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.

Backend (Mandatory/Must to have skills) :

1. Core Java/Java8,
2. Spring boot,
3. Spring Security,
4. Hibernate or any other ORM (Object Relational Mapping) framework.
5. SQL/PL-SQL (Oracle or Mysql or postgresql) but mostly Oracle
6. Restful webservices
7. Git

 

Backend (Good to have skills) :

1. Knowledge of SOAP based webservices
2. Struts framework
3. Microservices

 

Backend (Not absolutely necessary but plus point if candidate has knowledge about ) :

1. Docker
2. Apache Kafka/ any other messaging queue tool like RabbitMQ, ActiveMQ etc.,)
3. Cloud experience AWS/Azure

 

 

 

Responsibilities:

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Translate application storyboards and use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable Java code
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization and automatization

 

We are looking for an ambitious #JuniorAccountant to provide support to the financial department by managing daily accounting tasks in leading and well-established manufacturer of finest dyes for textile and ink industry…

• Location: Vatva GIDC
• Experience : 1yr to 2yr (Only Male)
• Education: B.com or M.com

Required skills :-

Post and process journal entries to ensure all business transactions are recorded, Update accounts receivable and issue invoices MS Office , Tally ERP 9, Sales & purchase Entries , Bank Reconciliation, Inward - Outward Entries, Invoice , Excel , VLOOKUP , MIS Maintain Etc...

Skills:

Node.js, Java/Scala, C#/.Net, Go Lang, ReactJS/AngularJS, MySQL/PostgreSQL, Elastic Search/MongoDB, Hadoop/Spark, AWS/Azure, Docker/Kubernetes, Agile

Company Profile:

The company is World's No1 Global management consulting firm.

Job Summary:

 

Stipend: INR. 5,000 to INR. 15,000 per month + Performance Bonus + Goodies for Elites

We are looking for skilled Full Stack Developer interns who can oversee the complete software development road cycle at Spacenos and work on building amazing products.

• Experience with JavaScript and ReactJs framework.
• Experience with NodeJs, Firebase and Firestore Functions.
• Candidates should have the ability to pick up new technologies quickly
• Knowledge of code versioning tools (such as Git, Mercurial, or SVN)

1. Creating and converting high-fidelity designs into code.
2. Assist with creating cross-platform UI Web components
3. Build responsive applications using front-end frameworks
4. Create Backend services for the UI and test with edge cases.

5. Test components using new technologies

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

1. Apply for your CV and past work to be reviewed.
2. Receive a telephonic interview or assessment upon filling the final step form.
3. Receive offer letter if selected.

Apply soon, the earliest applicant would be preferred over the late applicants.

About Us Incorporated in June 2000, Sankhyaa Learning is an Ed-tech product company, based in Chennai and focused on improving the quality of Maths & Science education globally through our flagship products: HeyMath! & HeyScience! We develop our products in formal collaboration with the University of Cambridge who we have partnered with since our inception. Over 95% of our work is with overseas customers, and we are investing heavily in building world-class capabilities in Software Engineering to support our next phase of growth – which will include consumer facing Apps in multiple languages, offline delivery capabilities as well as server side integration with our distribution partners to deliver the best user experience. The office environment is very collegiate and you will get to work in small, high-impact teams. What we are looking: - We are looking for a Ruby on Rails developer responsible for managing the interchange of data between the server and the users. - Your primary focus will be a 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.

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.

Job Summary
We are looking for a passionate backend developer with 2-3 years of experience who loves challenges and building something from ground-up. Past track record of building a statistical tool will be an advantage

Responsibilities and Duties
- Design of system and architecture for all features and problems
- Translate high level business problems into scalable design and code
- Maintain existing backend code and infrastructure
- Working with team to solve problems and discuss new ideas
- Smart system design smart having a balance between speed of implementation and scalability
- Ownership of projects or codes written

Qualifications and Skills
- Passion to work for startup and aptitude for fast learning
- In-depth understanding of Django and Django Rest Framework
- Expertise in python
- Basic machine learning knowledge, Company will help the candidate to upskill
- Ability to write clean, scalable, robust code
- Understanding of complete lifecycle of software development
- Basic knowledge of front-end development
- Good understanding of restful api design
- Working knowledge of AWS (EC2, RDS and Postgresql)
- Familiarity deploying SAAS solution with Amazon AWS and Docker (Kubernetes) etc

Company, established in 1990 and headquartered in Troy, Michigan, is a leading global information technology, and business process services company with operations across North America, Europe, Asia Pacific, Middle East, and India. We leverage our expertise in legacy and emerging digital technologies to deliver transformative outcomes for our enviable list of clients, which includes Fortune 1000 companies.

Company new vision “Reimagining a better-shared world” and mission “Bringing human expertise to tech for delivering purposeful solutions that amplify value” is at the heart of our transformation approach, powered by cloud, platform mindset, and engagement. Our motto “Let’s make digital change happen” is our commitment to empower our clients to succeed in this digital world. While our values – integrity, teamwork, the pursuit of excellence, committed, customer-centric, and thought-leadership, defines our character and behavior.

Requirements:
Java, Springboot, hibernate, reactjs, angular, microservices
Location: Chennai
Graduate with 4 to 8 yrs of experience

Job title: Full Stack Developer

Location : Chandigarh