Human Resource Specialist

 

Key Responsibility Areas:	Building and integrating information systems to meet the Clients need. Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it. Resolving technical problems as they arise. Driving and providing solution in RFP/RFI. Providing supervision and guidance to development teams. Continually researching current and emerging technologies and proposing changes where needed. Informing various stakeholders about any problems with the current technical solutions being implemented. Assessing the business impact that certain technical choices have. Providing updates to stakeholders on product development processes, costs, and budgets. Analyzing and documenting requirements. Setting the collaboration framework. Creating a solution prototype. Participating in technology selection. Controlling solution development.
Required Skills:	Proven work experience as Technical Architect or Project Manager Hands-on experience in software development and system administration Knowledge of strategic IT solutions Familiarity with programming languages like Java, Spring/SpringBoot,Microservices, Rest APIs, Python etc Familiarity with operating systems like Windows, UNIX, and databases like MySQL, Oracle, DB2, Mongo Db, etc.. Experience in cloud computing and cloud Technologies   Excellent communication skills – you should be adept at listening to, understanding, and explaining key concepts to managerial and technical resources. Good Anticipation and problem-solving skills – an expert technical architect should be able to anticipate where problems might crop up and find solutions before the system gets deployed.  Ability to deal with pressure – must be able to work under pressure and meet deadlines Ability to prioritize and manage time – IT projects often have fixed deadlines that cannot be averted Relationship building - Ability to form a good rapport with clients, managers, and colleagues as part of trust-building  In-depth knowledge about quality standards, legislation, and best practices
Qualification	Degree or Post Graduate in Information Technology, Computer Science, or relevant subjects

 

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.

Good grasp and hands-on exposure to SQL, Hive.
Good to have- Azure cloud, Spark sql.

Job Description

 

Timings :  1.30 PM to 10.30 PM

Exp        : 10 - 15 Years Responsibilities : 

• Work directly with Velosio clients to gather functional requirements, identify functional gaps, develop functional design documents and related solution design, and configure Microsoft Dynamics 365 BC software to meet business requirements
• Utilize ERP implementation standards and tools/documents
• Convert data from legacy system into Dynamics BC ERP system
• Demonstrate our Dynamics BC ERP product to existing and prospective clients; provide user training and support throughout implementation
• Provide post implementation support
• Attain product certifications as necessary
• Provide training and mentor-ship to junior level (Associate Consultants)
• Maintain Velosio core competencies: client focus, knowledge and skills, driving results, communication, teamwork and relationships, personal excellence, business insight, leadership, coaching and developing others

Qualifications :

• Bachelor’s Degree in Accounting, Computer Science, Information Systems, or closely related technical field
• Dynamics BC implementation experience and/or participation in at least 5 full life cycle implementation or 10+ years ERP implementation experience
• Experience with modeling business process and translating requirements into a business application
• Excellent presentation and communication skills targeted to effectively present information to C-level management, public groups, and/or board of directors
• Excellent organizational skills, attention to quality, self-motivation, and a desire to succeed
• Possess a professional presence suitable for direct client interaction by telephone or in-person

 

Key Responsibility Areas:Drafting Quotation plans as per client requirement for Digital Marketing, SEO and Social Media Marketing Services, Apps and Website Services. Building new client list in ‘Travel Industry Sector’ and ‘Metal Industry Sector’. Maintaining existing client relationship and up-selling services. Getting timely payments and building trust. Bid on online websites like Freelancer, UrbanClap, Upwork and win completely unknown local and foreign clients. Managing 1-person under you to manage trivial tasks (After 4-months of working here). Key Attributes Ability to Sell and gain trust. Hard working Attitude. Ability to think creatively. Ability to work on Excel sheets. Result-Driven approach.