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Minimum qualifications:
- Bachelor’s degree
Responsibilities:
- Assess go-to-market readiness, identify gaps in preparedness, and build plans to perform annual goals successfully.
- Work with teams to identify, qualify, and prioritize coverage for business opportunities. Participate in opportunity review meetings to provide insight into how to secure the technical win best.
- Maintain customer satisfaction.
- Resolve product problems affecting customer satisfaction.
- Build trust with customers and influential relationships.
Location: Pune
We are looking for a Technical Recruiter to join our team.
In this role, you will be working with other recruiters to help us scale up and be a part of our growth journey.
Apply now for the role of Technical Recruiter at Codebuddy which is opening doors for skilled, energetic individuals who are looking to grow exponentially in their careers. If you are passionate, dedicated with good communication skills you would fit perfectly for this opportunity.
Roles and Responsibility:
- Writing job descriptions and posting to relevant media platforms
- Screening applicants for competency with the job requirements.
- Arranging telephonic, video, or in-person interviews.
- Presenting the resumes of the most suitable candidates to the hiring manager.
- Offering job positions and completing the relevant paperwork.
- Keeping track of all applicants as well as keeping applicants informed on the application process.
Required Candidate Profile:
- 1+ years of experience in IT technical recruitment.
- Excellent written and verbal English communication skills are a must.
- A good understanding of technology and technical skills like React JS, React Native, Node JS, QA, PHP, Laravel, WordPress, etc.
- Experience in end-to-end recruitment processes and platforms.
- Should be proactive
About Company
Our client is a leading global co-educational day and boarding school for ages 2-18 having it’s first campus in India based out of Pune. The school will follow the English National Curriculum and IGCSEs with students progressing to the IB Diploma Programme offering unparalleled excellence in sports, music, and the arts.
Roles & responsibilities:
Establish the Human Resource department for the central office as well as the school
• Manages all HR functions including talent acquisition, performance management, employee relations, benefits, and compensation
• Develops and maintains the school’s employee policies and procedures, employee handbook and employee forms
• Manages the recruitment process including posting, recruiting, interviewing, and hiring for open positions
• Supports the Leadership Team in the recruitment of Expat faculty and staff
• Prepares and maintains accurate job descriptions and oversees the employee onboarding, orientation, exit processes and document completion
• Advises and consults with Head of School and relevant leadership team members to resolve and/or diffuse employee issues, oversees and directly engages in the resolution of delicate employee matters and seeks at all times to protect the School’s best interest
• Monitors and submits insurance claims related to worker’s compensation
• Develops, implements and maintains effective compliance with Employment and Labor Laws and Regulations
• Maintains employee records and files
• Oversees VISA, relocation, logistics and administration for Expat faculty and staff
• Leads Annual Performance Management process for faculty and staff
• Leads professional development initiatives for faculty and staff
• Supervises HR Manager whose key responsibilities will be supporting the HR Team, administering payroll, benefits, relocation and logistics for expats, managing the school’s email account, vacation tracking
• Liaison with International educational authorities for Expat appointments
• Strong executive coaching skills with a focus on leading through change
• Effective consulting skills covering the full range of HR disciplines
• While the above includes a description of the essential functions of the position, other duties may be assigned.
Requirements:
• Graduate/Postgraduate MBA-HR
• Work experience for an International School
• 15 – 20 years and above of relevant experience
• Excellent verbal and written fluency in English and Hindi.
• Related working experience as Executive Assistant in other international schools or companies is preferred.
• Good communication and coordination skills.
• Good organisation skills.
• Proficiency in Microsoft 365 (Word, Excel, Outlook, Sharepoint, OneNote, etc)
• Kind, pleasant and effective communicator, willing to serve people at all levels in the organization
• Working knowledge of human resource principles, procedures and practices
• Ability to effectively deal with multiple priorities, functions and activities
• Well-developed business ethics and the ability to maintain a high level of discretion
• Knowledge of Indian, Expat and state employment laws and regulations
• Knowledge of business and payroll software, including Microsoft Word, Excel and PowerPoint. Knowledge of working on HR ERP would be preferred
• Proficient in the use and application of a range of psychometrics in assessment, selection and development environments
• Excellent verbal and written communication skills with an emphasis on confidentiality, tact and diplomacy
• Knowledge & Experience of Expat appointments
• Experience of working with an International school will be preferred
- Knowledge of Automation and robotics Industry
- Knowledge of Bottling industry
- Material handling - lifts, cranes, conveyors etc.
- Getting job works for VMC and CNC machines
- Hand on Experience in Food technology
- Experience in IoT
- Lead Generation X
About Telstra
Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries, including In India where we’re building a new Innovation and Capability Centre (ICC) in Bangalore.
We’re growing, fast, and for you that means many exciting opportunities to develop your career at Telstra. Join us on this exciting journey, and together, we’ll reimagine the future.
Why Telstra?
- We're an iconic Australian company with a rich heritage that's been built over 100 years. Telstra is Australia's leading Telecommunications and Technology Company. We've been operating internationally for more than 70 years.
- International presence spanning over 20 countries.
- We are one of the 20 largest telecommunications providers globally
- At Telstra, the work is complex and stimulating, but with that comes a great sense of achievement. We are shaping the tomorrow's modes of communication with our innovation driven teams.
Telstra offers an opportunity to make a difference to lives of millions of people by providing the choice of flexibility in work and a rewarding career that you will be proud of!
About the team
Being part of Networks & IT means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy.
With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.
Focus of the role
Any new engineer who comes into data chapter would be mostly into developing reusable data processing and storage frameworks that can be used across data platform.
About you
To be successful in the role, you'll bring skills and experience in:-
Essential
- Hands-on experience in Spark Core, Spark SQL, SQL/Hive/Impala, Git/SVN/Any other VCS and Data warehousing
- Skilled in the Hadoop Ecosystem(HDP/Cloudera/MapR/EMR etc)
- Azure data factory/Airflow/control-M/Luigi
- PL/SQL
- Exposure to NOSQL(Hbase/Cassandra/GraphDB(Neo4J)/MongoDB)
- File formats (Parquet/ORC/AVRO/Delta/Hudi etc.)
- Kafka/Kinesis/Eventhub
Highly Desirable
Experience and knowledgeable on the following:
- Spark Streaming
- Cloud exposure (Azure/AWS/GCP)
- Azure data offerings - ADF, ADLS2, Azure Databricks, Azure Synapse, Eventhubs, CosmosDB etc.
- Presto/Athena
- Azure DevOps
- Jenkins/ Bamboo/Any similar build tools
- Power BI
- Prior experience in building or working in team building reusable frameworks,
- Data modelling.
- Data Architecture and design principles. (Delta/Kappa/Lambda architecture)
- Exposure to CI/CD
- Code Quality - Static and Dynamic code scans
- Agile SDLC
If you've got a passion to innovate, succeed as part of a great team, and looking for the next step in your career, we'd welcome you to apply!
___________________________
We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.
To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.
Data Science
Machine 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.
- The candidate would be responsible for identifying the prospective customers for the above-mentioned products.
- The candidate must do initial business development with the prospective customers – lead identification, updating database, sending introductory mails, and initial discussion over calls.
- The candidate would also be responsible for initial coordination between the prospective customers and the sales team.
- The candidate will identify the target market and competition
- The candidate should be based out of Pune.
What You’ll Do
- Manual and automated testing of the various software components that power our robots, cloud services, and mobile and Web applications.
- “Own” the feature or product you test and be the testing expert for your features and products.
- Gather technical requirements, understand functional specification, participate in software design reviews, and validate that a feature or product meets our customers’ requirements.
- Write test plans, execute test cases, and report bugs.
- Your bug reports should describe, in detail, the conditions under which a bug manifests and how it can be reproduced, the resulting product behavior, and the extent of the bug’s impact on our customers.
- Automate software testing to the extent possible to make it more efficient.
- Reproduce and debug customer issues escalated from the field.
What We’re Looking For
- Bachelor's or master’s degree in CS/CE/IT/EE/E&TC or a related field.
- 2+ years of experience in software testing, particularly in Web, mobile, cloud, and embedded systems applications.
- Experience in writing software test plans, executing test cases, and managing the end-to-end bug life cycle.
- Strong analytical, debugging, and problem-solving skills, and attention to detail.
- Java and Python programming skills.
- Familiarity with Android and iOS mobile app testing automation using Appium, and Android and iOS emulators.
- Ability to work well in a team, including remote team members in overseas locations.
- Excellent written and oral English communication skills.
Nice to Have
- Familiarity with tools such as Eclipse (IDE), TestNG, Maven, Selenium, and JIRA.
Java
Spring Boot
AngularJS (1.x)
React.js
HTML/CSS Hands on experience in J2EE framework e.g Core Java, Spring, Spring Boot, Hibernate
Strong understanding of object oriented analysis and design, design patterns, high availability and concurrent
programming
Hands on experience in Micro-Service development
Excellent in Angular JS development – ( Must for UI Developer)
Expertize in operating with Mongo DB
Experience in working with OpenShift/Containerized deployments
Good Knowledge on implementing ant/maven build scripting experience
Worked on source code management such as Git Bit bucket, SVN
Experience developing SOA and writing/consuming web services
Experience with Unix, shell scripting and build automation
Knowledge of Web security frameworks, Certificate Management and various Vulnerability Assessment tools.
Experience with Agile methodology
NodeJS (Node.js)
MongoDB
Angular (2+)Looking for a highly skilled MEAN Full-Stack Developer who is comfortable with both front and back end programming.
1+ years in MEAN ( MongoDB, ExpressJS, Angular, NodeJS ) full-stack development.
Responsibilities and Duties
- Design client-side and server-side architecture.
- Design, Develop, and manage well-functioning databases and applications.
- Designing and developing user interactions on web pages.
- Designing and developing APIs.
Required Experience, Skills and Qualifications
- Working experience in MEAN backend (MongoDB, ExpressJS, NodeJS) with very strong JavaScript.
- Thorough Understanding of Angular 8 / 9
- Hands-on experience with JavaScript Development on both client and server-side
- Knowledge on HTML5, CSS3, Bootstrapping, XML and other NoSQL databases like DynamoDB ( Preferred Skill of DynamoDB )
- knowledge on RDBMS like MySQL, SQL Server, etc.
- Distributed Technology Web Services (SOAP, RESTFUL)
- Strong experience in API development & integration, Database Design, third party libraries
- AWS Cloud framework (Serverless) and technologies experience.
- Familiarity with CI/CD for deploying the code.
- Familiarity with code versioning tools such as git along with knowledge about branching, code merging, and code review strategies.
Experience:
- NodeJS: 1 years (Required)
- MongoDB: 1 years (Required)
- Total Work: 1 years (Required)
- Angular ( 7 / 8 / 9 ) : 2 years (Required)
Job Type: Full-time
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