
- Hands-on experience in Development
- 4-6 years of Hands on experience with Python scripts
- 2-3 years of Hands on experience in PySpark coding. Worked in spark cluster computing technology.
- 3-4 years of Hands on end to end data pipeline experience working on AWS environments
- 3-4 years of Hands on experience working on AWS services – Glue, Lambda, Step Functions, EC2, RDS, SES, SNS, DMS, CloudWatch etc.
- 2-3 years of Hands on experience working on AWS redshift
- 6+ years of Hands on experience with writing Unix Shell scripts
- Good communication skills

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Role - AI Architect
Location - Noida/Remote
Mode - Hybrid - 2 days WFO
As an AI Architect at CLOUDSUFI, you will play a key role in driving our AI strategy for customers in the Oil & Gas, Energy, Manufacturing, Retail, Healthcare, and Fintech sectors. You will be responsible for delivering large-scale AI transformation programs for multinational organizations, preferably Fortune 500 companies. You will also lead a team of 10-25 Data Scientists to ensure successful project execution.
Required Experience
● Minimum 12+ years of experience in Data & Analytics domain and minimum 3 years as AI Architect
● Master’s or Ph.D. in a discipline such as Computer Science, Statistics or Applied Mathematics with an emphasis or thesis work on one or more of the following: deep learning, machine learning, Generative AI and optimization.
● Must have experience of articulating and presenting business transformation journey using AI / Gen AI technology to C-Level Executives
● Proven experience in delivering large-scale AI and GenAI transformation programs for multinational organizations
● Strong understanding of AI and GenAI algorithms and techniques
● Must have hands-on experience in open-source software development and cloud native technologies especially on GCP tech stack
● Proficiency in python and prominent ML packages Proficiency in Neural Networks is desirable, though not essential
● Experience leading and managing teams of Data Scientists, Data Engineers and Data Analysts
● Ability to work independently and as part of a team Additional Skills
(Preferred):
● Experience in the Oil & Gas, Energy, Manufacturing, Retail, Healthcare, or Fintech sectors
● Knowledge of cloud platforms (AWS, Azure, GCP)
● GCP Professional Cloud Architect and GCP Professional Machine Learning Engineer Certification
● Experience with AI frameworks and tools (TensorFlow, PyTorch, Keras)
Java Developer Job Responsibilities
A developer is responsible for several Java-related duties throughout the software development lifecycle, from concept and design to testing. The developer is required to create user information solutions through the development, implementation, and maintenance of Java-based components and interfaces.
Key Responsibilities:
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large scale social or location-based app.





Job Responsibilities:-
- Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
- Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
- Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
- Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
- Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
- Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
- Experience working with big data systems and big data concepts.
- Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
- Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
- Experience with noisy and/or unstructured textual data.
knowledge graph and NLP including summarization, topic modelling etc
- Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
- Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
- Strong understanding of text pre-processing and normalization techniques, such as tokenization,
- POS tagging and parsing and how they work at a low level.
- Excellent problem solving skills.
- Strong verbal and written communication skills
- Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
- Practical experience in using NLP related techniques and algorithms
- Experience in open source coding and communities desirable.
Able to containerize Models and associated modules and work in a Microservices environment

GCP Data Analyst profile must have below skills sets :
- Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
- Data cleansing, data visualization, data wrangling
- Data modeling , data warehouse concepts
- Adapt to Big data platform like Hadoop, Spark for stream & batch processing
- GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)
Role and Responsibilities:
- Designing and developing test automation scripts for a web application (Angular) using test automation guidelines.
- Performance, Security, Penetration, Vulnerability testing.
- Build tools and frameworks to aid continuous delivery, deployment, and debugging.
- Supporting the development team and software engineers during the development and testing phase.
- Prepare defect reports and report test progress.
Qualifications and Requirements:
- Experience in Automation Testing with Cypress, JavaScript, Typescript, or similar end-to-end testing tools.
- Experience with Regression, Smoke testing, API, and Backend testing.
- Experience with non-functional testing, performance, vulnerability testing.
- Excellent knowledge in testing skills (design test plan and test strategy, writing and executing test cases, opening bugs, verifying bugs, etc).
- A team player, fast learner with good interpersonal, verbal, and written communication skills.
Lets Talk!
Our Preference:
- Prefer Diversity but open on potential
- Multitasking and Analytical stalwart
- Handled complex businesses
- Partner management in a global environment
- Interpret data on the fly.
You will have a combination of 3 aspects (i) Exceptional Talent Acquisition functional knowledge (ii) Strong Eye For Business (iii) Superior Interpersonal Skills
Key Responsibilities:
- Source > Engage > Convert
- Identify the best online sourcing channels for different requirements.
- Use technologies to locate, engage and attract prospective candidates
- Identify the top-performing employees at talent competitors and use the right messages to reach high-quality applicants.
- Organize targeted outreach events in the industry and on-site in our office
Required :
- 2+ of core recruiting or related experience.
What do WE Serve?
- Roles derived thru 'Engineering Community'- Developers, Product Management from Mid Level to Leadership Hires
Who do WE serve?
Our Potential Clientele - Tech Start-Ups, Tech Products & E-commerce
Reach out Beiing.in
#hiringrecruiters #recruiterjobs #techhiring #beiingrecrutrs #everythingrecruiting


Job Summary
3-4 years of PHP, MySQL development experience
Minimum 1 year of Drupal 8 development experience
Experience in developing custom module and themes in Drupal 8
Good to have experience in panel-based theme development
Basic knowledge of Git
Basic knowledge of HTML5, JS and CSS
Basic knowledge of Linux system to deploy code on the test server

