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Opportunity to work on Product Development
About the job
o Candidate will be in leading role to thoroughly understand client requirements and expedite functional and technical design for the overall planning solution; lead team of experienced and novice to deliver solutions meeting client expectations.
o Candidate must be well versed with Feedstock ranking (Indifference), Rolling Plans, Back-casting, configuration selection and plant debottlenecking studies, update of multi-period, multi-plant linear programming models.
o Candidate should have worked in Refinery and Petrochemical companies (in Production Planning, Technical Services division) and /or delivered Planning solution to Oil and Gas clients in consulting assignments.
o Candidate should have knowledge of refinery / petrochemicals plant configurations, their economics, blending operations, yield accounting, crude blending, product distribution, crude arrival sequencing.
Role Summary:
The Relationship Executive will generate hospital-based leads by engaging doctors and counselling expectant parents on cord blood banking, diagnostics, and related services, while managing client presentations, enrollments, CRM reporting, and logistics coordination to drive business growth.
Key Areas of Responsibility:
- Meet doctors to promote the concept of cord blood banking and stem cell applications, and facilitate interaction with expectant parents.
- Promote diagnostics and other services introduced by the company from time to time and generate prescriptions.
- Visit hospitals, nursing homes, and relevant healthcare centers for lead generation, diagnostic business, and institutional tie-ups.
- Build strong relationships with hospital front-office staff, nursing staff, doctor attendants, and coordinators to enable client interaction and service promotion.
- Place drop boxes and flyer stands at strategic locations within hospitals and doctor chambers.
- Ensure regular refilling and upkeep of drop boxes and flyer stands with updated marketing material.
- Conduct counselling sessions at hospitals and doctor chambers to generate qualified leads.
- Update daily activities, lead generation, counselling, and follow-ups accurately in the CRM system.
- Call prospective clients for counselling and referrals, and conduct free presentations at their preferred location.
- Enroll clients, complete documentation, collect payments, coordinate delivery logistics, and share competitor/market information as required.
Qualification, Experience & Skills:
- Graduate in Pharmacy (B.Pharm / D.Pharm) or Life Sciences (preferred).
- prior experience in healthcare / hospital marketing is an added advantage.
- Good communication and interpersonal skills.
- Comfortable working in hospital environments and field-based roles.
- Basic knowledge of MS Office and willingness to learn CRM systems.
- Presentable, customer-oriented, and relationship-focused approach.
We are looking to hire Recruiters for IT Staffing role
Location - Bangalore /Gurgoan / Pune
Exp - 3 yrs
Responsibilities:
1. Candidate Sourcing:
• Utilize various recruitment channels to source potential candidates, including online job boards, social media, referrals, and professional networks.
• Review resumes and applications to identify qualified candidates who meet the position requirements.
• Conduct initial screening interviews to assess candidate suitability and gather relevant information.
2. Placement Coordination:
• Collaborate with hiring managers to understand their staffing needs and develop job descriptions and specifications.
• Coordinate interview schedules and facilitate communication between candidates and hiring managers.
• Manage the placement process, including conducting background checks, reference checks, and pre-employment assessments.
• Ensure timely feedback to candidates regarding their application status and assist in making job offers.
3. Onboarding Support:
• Assist with new hire onboarding, including collecting and verifying employment documents, conducting orientation sessions, and facilitating the completion of necessary paperwork.
• Coordinate with relevant departments to ensure new employees have the necessary resources and equipment on their first day.
• Serve as a point of contact for new hires during their initial period, addressing their queries and providing support as needed.
4. Recruitment Administration:
• Maintain accurate and up-to-date candidate records in the google sheets or HR database.
• Prepare recruitment-related reports and metrics for HR management and hiring managers.
• Contribute to the continuous improvement of recruitment processes, suggesting and implementing enhancements where appropriate.
• Stay updated on industry trends and recruitment best practices to enhance the efficiency and effectiveness of the placement process.
Qualifications:
• Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent experience).
• Previous experience in HR recruitment, placement coordination, or talent acquisition is preferred.
• Strong interpersonal and communication skills, both written and verbal.
• Excellent organizational and time management abilities.
• Ability to maintain confidentiality and handle sensitive information.
• Attention to detail and accuracy in handling candidate and employee data.
• Proficiency in MS Office Suite (Word, Excel, PowerPoint) and HR software applications.
Note: The job description
C#
.NETOur client is a rapid growth stage Edtech start-up focused on solving the teacher shortage crisis in the US education system using technology by bringing teachers to the classrooms and giving them access to the right tools to teach students in a highly engaging manner.
They have a development center in Mumbai and they are looking to scale up the teams in Pune and Bangalore as well.
What does the role entail:
● Design, develop, and maintain software applications using .NET Core ,C#
● Write clean, maintainable, and efficient code
● Collaborate with cross-functional teams to analyze requirements, design solutions, and implement new features
● Develop and implement unit tests and integration tests to ensure software quality
● Troubleshoot and debug applications
● Participate in code reviews and provide constructive feedback to peers
Required Skills:
● B.E/B.Tech in computer science
● 1 - 3 years of experience
● Hands-on experience following skills
MS Technologies: NET CORE 7+, C#
Backend: MSSQL / MySQL /Postgres
● Preferred understanding of Cloud: Azure/AWS.
● Strong understanding of object-oriented programming, Design principles, data structures, and algorithms
● Worked in an Agile software development environment
Machine Learning (ML)- NLU, Text, Speech, Image Processing
- Excited about Machine Learning and AI
- Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
- Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
- Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
- Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
- Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
- Partner with Engineering to provide the infrastructure and services required to enable innovation
- Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
- Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
- Fully understand our customer's service needs and ensure we meet these needs
Preferred Qualifications
- NLU, Text, Speech, Image Processing
- Excited about Machine Learning and AI
- Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
- Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
- Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
- Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
- Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
- Partner with Engineering to provide the infrastructure and services required to enable innovation
- Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
- Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
- Fully understand our customer's service needs and ensure we meet these needs
- No matter your role in our team, you will find yourself in an exciting and challenging environment where every person is empowered to show initiative, be outspoken, and be proactive and not reactive. Oracle is dedicated to the continual growth and development of its staff, striving constantly to strengthen our expertise as well as develop new skills. Our team is spread all around the world in four continents - we provide a full range of opportunities and challenges to apply your kills and grow your career in this new and exciting arena.
Data ScienceMachine Learning (ML)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.
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptWe are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Should be familiar with Agile methodologies.
Responsibilities:Participating in the design and creation of scalable software Writing clean, functional code on the front- and back-end Testing and fixing bugs or other coding issues Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software
Requirements:Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind
Education :B.E/B.Tech/MCA/MCS/BCS
DjangoNotice period should be immediate one.
React.js
NodeJS (Node.js)Javascript
PHP
Python
Go Programming (Golang)Python
Java
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