11+ XGBoost Jobs in Pune | XGBoost Job openings in Pune

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 description
We are looking for people who have done SAP SuccessFactors
implementation in one or more SAP SuccessFactors BizX modules,
and who can demonstrate real impact within businesses and truly
understand how to successfully transform business processes. The
candidate should have a good understanding of the end-to-end

employee life cycle and understand the industry-specific HR
processes. The candidate should have experience in conducting
customer workshops and demonstrate the leading practices to
CXO’s.
 

Required Skills and Experience
 
To qualify for the role you must have:
Experience of SAP SuccessFactors BizX implementation projects,
performing a variety of roles through the full project life-cycle with
specialist functional knowledge of SAP SuccessFactors BizX
modules
Technical understanding of XML and ability to work comfortably in
delivering client.
Ability to develop strong relationships with the client
MUST Excellent written and verbal communication skills including
presentations, chairing meetings, workshop facilitation, business and
report writing
Ability to manage work streams within a large project (client-facing
or internal)

Educated to Graduate / Postgraduate level

SAP Background is preferred.
Relevant Experience:
• 2-8 years
• Should have done at least 1 end-to-end Implementation.
Qualification:
• MBA/ PGDM/ B.E/ B.Tech/ M.E/ M.Tech/ MCA
• Should have throughout first class in the entire Academic
background.
Essential Skills:
• Excellent Communication and Interpersonal Skills

I am looking for Mulesoft Developer for a reputed MNC

 

Experience: 6+ Years

Relevant experience: 4 Years

Location : Pune, Mumbai, Bangalore, Indore, Kolkata

 

Skills:

Mulesoft

Experience: 6+ Years

Relevant experience: 4 Years

Location : Pune, Mumbai, Bangalore, Indore, Kolkata

Company Profile:- www.http://dazeworks.com/" target="_blank">dazeworks.com
Your job responsibilities include
·         Planning and coordinating with internal and external stakeholders to ensure project execution as per technical and functional specifications.
·         Reviewing technical requirements and adapting those into a http://force.com/" target="_blank">Force.com application.
·         Communicating with end-users to fully understand client expectations.
·         Participating in and leading code-review sessions to identify potential project bottlenecks and suggest solutions.
·         Requirement analysis, database design, coding, testing, implementation, and maintenance of Salesforce and associated software applications.
·         Managing technical delivery of integrations and custom extensions.
·         Providing hands-on support in software/application architecture, development, design, independent analysis, and problem resolution.
·         Overseeing development, design, UI, and technology integration efforts for the effective completion of a project.
·         http://salesforce.com/" target="_blank">Salesforce.com setup, configuration, customization, data migration, and deployment of applications to http://force.com/" target="_blank">Force.com platform
· Guiding clients over technology, processes, and applications while updating them on regular project-related developments.
Who you are
·         3+ years of experience in http://force.com/" target="_blank">Force.com applications design, development, integration, AppExchange launch and support and minimum 6 months to 1 year of hands-on experience in Salesforce Lightning development.
·         Fluent in Salesforce Lightning. Extensive experience developing Lightning Components – both within the Salesforce Lightning Design System and by writing custom Lightning Components in Java Script within the Aura framework.
·         Solid experience in Lightning component development and Salesforce customization.
·         Convert business requirements into well-architected solutions that best leverage the http://salesforce.com/" target="_blank">Salesforce.com platform. Develop the technical Design, custom solution, and system design based on lightning platform
·         Minimum of 6 months Lightning Component development experience.
·         Minimum of 6 months experience with Salesforce platform programming languages – Apex, Visualforce, Lightning Component framework.
·         Minimum of 6 months experience with Lightning Design System framework.
·         JavaScript, Remote Objects or JavaScript Remoting/events, JQuery, CSS
·         Salesforce Static Resources Setup and usage of lightning apps and embedding in VF pages.
·         Implementing REST integration (http://salesforce.com/" target="_blank">Salesforce.com web services API, REST API, JSON, Apex, HTML)
·         Being a Certified http://force.com/" target="_blank">Force.com Developer is a must, an Advanced Developer is highly desirable
·         Strong knowledge of Agile methodology
·         Proficiency in Apex, Visualforce, Web Services, SOQL, AJAX, XML, Javascript, HTML
·         Experience in SFDC customization, integration, and administration
·         The ability to lead workshops and provide direction to your team members
·         Excellent communication and presentation skills
Skills:- Salesforce, Salesforce Lightning, Integration, Salesforce Apex, and Visualforce.
Awaiting your response with an updated CV.
Thank You!

The Application Architect is responsible for actively engaging in and leading the architecture in their
assigned domain(s) by collaborating with solution architects, product managers, and software engineers.
This position will be actively involved with implementing software solutions that meet project needs.
Responsible to design and implement solutions for the assigned domain areas

Job Description :- We are seeking a new Graphic Designer to join our team.- You will be designing a wide variety of things across digital and offline media. - To be successful in this position, you'll be a self-starter, capable of delivering brilliant creative ideas, and show amazing attention to detail.Roles and Responsibilities :1. Develop marketing collaterals and digital assets (social media creatives, web banners, ads, infographics, product illustrations, blog images, notification images, brochures design, pamphlets, emailer graphics, and other designs) using designing tools within deadlines.2. Study design briefs and determine requirements3. Amend designs after feedback & ensure final graphics and layouts are visually appealing and as per requirement.

Excellent opportunity for: 1. Candidates from aviation industry who are looking for ground jobs or want to make their career in the Hotel industry. 2. Candidates from luxury retail stores, who want to work with luxury Hotels. 3. Candidates from luxury hotels, banquets or travel sales background.