Job Title: Sr. UIPath RPA Developer
Experience: 5+ years
Location: Hyderabad/ Pune
Fulfilment Type: Fulltime
Primary Skill: UIPath, OCR, SAP Automation
Job Description:
1. Strong UiPath Development skills
2. Strong communication skills
3. Design, Develop, Build, Deploy and Manage automation BoTs in UiPath environment
4. UiPath citizens developer with skills set on Low complexity automation is good to have
5. Knowledge/Understanding with business process requirements and experience configuring automation processes in UiPath
6. Strong techno-functional skills and experience on working with business to gather requirements. Working with testing teams like UAT to perform testing
7. Experience working with infrastructure teams to guide and assist in issue resolution
8. Experience working in cross functional teams involving cloud environments, to be able to work with security teams and firewall teams for any code issue resolution
9. Knowledge/Experience building BoT with automation on SAP ERP, Finance, Supply Chain, SAP Ariba, Vendor On-boarding, GFE+, Logistics, PKMS – Warehouse Management is nice to have.

About Prolifics Corporation Ltd.,
About
Prolifics is a Digital Engineering Company providing Innovative IT solutions to global customers. There are five main pillars to our offerings – Product Engineering, Platform engineering, Intelligent Automation, Data Engineering, and Test Automation & Performance. We are 40-year old, well established firm, headquartered in US and having offices worldwide – US, Canada, UK, Germany and India.
We work with Fortune 1000 companies in the sectors such as BFSI, Healthcare, Retail, Utilities and Services. We are amongst the top 5 business partners for IBM worldwide. Apart from our premier relationship with IBM, we have also partnered with Red Hat, Microsoft/ Azure, AWS, Salesforce & Mulesoft, Snowflake, Informatica etc.
Our differentiation lies in our unique, innovative, and highly technical solutions offering to our customers. This is achieved thru continuous learning with help of dedicated Learning & Development department hosting several technical courses & certifications and culture of innovation thru global innovation center engaged in cutting-edge technologies.
We are CMMi level 5 certified organization and not a staff augmentation firm. When we invite candidature, we do not hire for project or a customer only, we look for competent people with potential to grow their career with Prolifics.
With over 1200 technocrats worldwide, we have development centers in Hyderabad and Pune. Our organizational structure is simple with 3 major competencies under engineering group - Digital, Data Analytics and Test Automation. Employees have the flexibility to work in multiple competencies to build their career.
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Qualification: Degree in Design or Design Certification Course
Job Description: Designing of Catalogue, Marketing Collaterals, Product Design, and Social Media post
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Job Code: Job Title: AADM Band: 5(a)
Reporting To: Office Head Function – Agency - Sales Department: Agency
JOB SUMMARY:
Responsible for
Agent Recruitment
Agent Development
Meeting Business goals
KEY RESPONSIBILITIES:
Develop various sources of agent hiring and build a team of Agents
Ensure product knowledge by Max Life Insurance ways of training
Field demonstration (FODs)
Work closely with Agents on planning and reviewing of activities and goals
Achievement of monthly, quarterly & yearly business plans
Ensure Company's product mix sales ration and adhere to the business norms
Hold periodical customer meet to understand customers' pulse and product needs
Ensure customer queries are responded to satisfactorily as per Max Life Insurance standard
Eligibility Criteria: Any Graduate / Post graduate with good experience in sales
OTHER RESPONSIBILITIES:
HO co-ordination
Sales promotion activities
Assist in overall running of the Office
Experience- 2-6 years in Sales
MINIMUM EDUCATION:
Graduate preferably with an MBA
MINIMUM/SPECIFIC EXPERIENCE:
Graduate
Minimum of 2 years of experience in sales and sales management, recruitment, supervision and
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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.

What is the role?
We are looking for highly skilled candidates with experience in frontend programming and are comfortable in dealing with backend tools.
Key Responsibilities
- Reviewing application requirements and interface designs.
- Identifying web-based user interactions.
- Developing and implementing highly-responsive user interface components using React concepts.
- Writing application interface codes using JavaScript following ReactJS workflows.
- Troubleshooting interface software and debugging application codes.
- Developing and implementing front-end architecture to support user interface concepts.
- Monitoring and improving front-end performance.
What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
- 6 to 9 years of strong design and development experience in building massively large-scale distributed internet systems and products.
- Previous experience working as a React.js Developer.
- In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
- Strong experience using a client side MVC framework such as NodeJS, ReactJS, or Redux.
- Experience with user interface design.
- Knowledge of performance testing frameworks including Mocha and Jest.
- Experience with browser-based debugging and performance testing software.
- Experience in responsive design, cross browser compatibility, and website performance.
- Knowledge of frontend CSS frameworks like Bootstrap, Material UI, and preprocessors like SASS and LESS.
- Experience with handling Services, RESTful, APIs (NodeJS preferably).
Who will you work with?
You will be working with top-quality engineers who have built one of the best employee engagement SaaS platforms. You will be reporting to the Engineering Head and working closely with the Architect and other leads.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that Xoxoday offers.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners, and consumers for better business results.
- Develop, maintain and support company
- Assist in technical specification and solution design documentation to address customer needs
- Ensure customer implementations are delivered to meet/exceed customer expectations
- Collaborate with cross-functional teams on project delivery, solution development, and deployment as needed
Requirements:
- 2+ years experience in a software development/consulting role, preferably in comprehensive eBusiness and Supply Chain Solutions
- 2+ years experience in Software Analysis, Design, and Development using J2EE technology stacks (Core Java, JSP, XML, Hibernate & Java scripts) and Oracle database (PL/SQL)
- 2+ years experience with the configuration and Installation of J2EE servers like Web logic, Web Sphere, and Oracle
- 2+ years experience with integration technology (knowledge of EAI and B2B tools)
- 2+ years working knowledge of UNIX system (Solaris and Linux)
- Exceptional verbal and written communications skills
- Excellent interpersonal & planning skills and cross-group coordination at all levels
- Bachelor Degree in Computer Science, or equivalent
- Willing to travel when needed.
Preferred (Optional) Skills:
- Supply-chain domain experience implementing and integrating Global Trade Management solutions
- Experience in the integration, deployment or support of an ERP, SCM, or similar systems from SA


Responsibilities
- Translate designs and wireframes into high quality code
- Design, build, and maintain high performance, reusable, and reliable Java code
- Ensure the best possible performance, quality, and responsiveness of the application
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
We require block sales manager in all blocks of Baripada district to carry out the following responsibilities:- • To create a sales field in his own block • To create 3 stock points in his block • To share daily growth report to senior authority • To prepare own visiting schedule • To share issues and feedback with team leader • To prepare a sales plan for own • To make himself aware of the sales target • To achieve his sales target • To respect procedure and policies of the company


