
Responsibilities:
.Create exclusive distributors, exclusive super stockiest and business associates for the company towards business growth.
.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.
.Keep abreast with stock reports, inventory, product orders, re-order etc.
.Training personnel and helping team members in developing their skills.
Requirements:
.Bachelor's degree in business, marketing or a related field.
.Experience in sales, marketing or related field.
.Strong communication skills and excellent organizational skills.
.Proficient in Word, Excel, Outlook, and Powerpoint.

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About Us
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.
Role Overview:
As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.
Key Responsibilities:
- Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
- Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
- Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
- Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
- End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
- Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
- Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
Required Skills and Qualifications
- Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
- 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
- Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
- Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
- Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
- Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
- Experience with containerization technologies, specifically Docker.
- Solid understanding of software engineering principles and experience building APIs and microservices.
Preferred Qualifications
- A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
- Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
- Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
- Proven ability to lead technical teams and mentor other engineers.
- Experience developing custom tools or packages for data science workflows.


Key Responsibility Areas:
- Design, build and deliver enterprise level mobile applications
- Write code with standards and conventions and follow best practices
- Encourage and lead innovation and solid lifecycle processes
- Collaborate with team on work definition, estimation and prioritization
- Lead and grow as a professional software engineer.
- Full ownership of product deliveries and mentoring junior team members.
- Strong client interactions to provide excellent Quality of Service.
- Owning the code base and making sure all code is reviewed and is of very high quality.
- Write and modify coding conventions and standards documents for all development
Required Skills:
- 2-4 years experience in developing Android applications using Java and Kotlin
Technologies/Frameworks –
- Java, Kotlin
- Maven, Git, Bitbucket
- Knowledge Data Structures
- SQLite, Room Database
- Must have strong knowledge and experience in Agile based software development methodologies. Knowledge of an Agile tool like Jira.
- Must have a very strong knowledge of integrating various system and APIs (both REST and SOAP)
- Good to have: Experience of Payment Gateway Integration, Third Party SDK integrations
- Domain Preference
- FinTech, Banking, IoT
Technical Requirement:
- At least 5 years of experience in Java, J2EE technologies.
- Expertise in doing development using Java, Spring Boot, Spring modules (Spring Security, Spring MVC, Spring Data JPA, etc.), Hibernate, Web Services
- Worked on REST web services.
- Worked on application server : Tomcat
- Worked on Eclipse IDE
- Knowledge of Swagger, Postman
- Worked on Database like MySQL
- Worked on Git, Maven, CI/CD pipelines
- Good to have knowledge of using Docker and Mongo DB

We are looking for a talented unity developer to join our design team. As a unity developer, you will be responsible for planning and implementing game functionality, building the game code, identifying bottlenecks, and ensuring the quality of the finished product. You may also be required to build patches and install game updates.
To ensure success as a unity developer, you should have extensive experience working with Unity and Unity3D software, excellent coding skills, and a good eye for detail. A top-class Unity developer can visualize, design, and code games that speak directly to the target market.
1. Implement high-quality cloud architectures that meet customer
requirements and are consistent with enterprise architectural standards.
2. Deep understanding of cloud computing technologies, business
drivers and emerging computing trends.
3. The ideal resource will have experience across enterprise-grade hybrid
cloud or data centre transformation.
4. Install, configure and upgrade MySQL/Postgres cluster database
software.
5. Experience in setting-up DR for RDBMS DBs in Linux environments.
6. Create, configure, manage and migrate NoSQL databases (Redis,
Cassandra and MongoDB).
7. Manage day to day operations from development to production
databases.
8. Monitor the health of cloud services and databases.
9. Good understanding of NoSQL/relational databases.
10. Troubleshoot NoSQL/RDBMS databases general/performance
issues.
11. Experience in Linux OS and scripting.
12. Hands on experience on Azure, GCP and AWS clouds and its services.
13. Knowledge in python/ansible is an added advantage.
14. Leveraging open source technologies and cloud native hosting
platforms.4
15. Design and recommend suitable, secure, performance optimised
database offerings based on business requirements.
16. Ensure security considerations are at the forefront when designing
and managing database solutions.
17. Maintenance work to be planned meticulously to minimise/eradicate
self-inflicted P1 outages.
18. Ability to provide technical system solutions, determine overall
design direction and provide hardware recommendations for complex
technical issues.
19. Provisioning, deployment, monitoring cloud environment using
automation tools like Terraform.
20. Ensure all key databases have deep insight monitoring enabled to
enable improved capabilities around fault detection.
Required Qualifications:
• Minimum 6-8 years of experience as an Database Administrator
preferably in a cloud environment.
• Application migration experience that involves migrating large
scale infra between clouds.
• Experience in executing migration cutover activities. Support UAT,
troubleshoot during and post migration issues
• Ability to work independently on multiple tasks with minimal
guidance Ability and desire to work in a fast paced environment5
• Contribute to overall capacity planning and configuration
management of the supporting infrastructure
• Review recommendations around Security, Availability,
Performance, and from Cloud platform
• Ability to remain flexible in a demanding work environment and
adapt to rapidly changing priorities.

Experience using, operating, and developing on top of cloud infrastructures and services
Experience in Kubernetes/openshift
Dynamic personality who is able to be proactive and adapt to the evolving architectural and technological directions.
Goal-oriented with the ability to work as part of a team; flexible, with the ability to work on different topics at the same time
Excellent communication skills; knowledge of and experience with agile programming practices and pair programming practices
Experience in multiple modern programming languages like Go, Python, React.Js, etc
UI Experience will be an added advantage to enable Gitops UI workflows.
Experience with test-driven development, continuous integration (CI) and delivery (CD), committer or contributor model and pair programming, and experience using Git
Working experience of distributed systems



THE POSITION:
- 3+ years of relevant experience in designing & implementing scalable, resilient backend microservices
- Expert at any backend programming language (Python/GoLang preferrable) and has exposure to API design and scalable architecture
- Hands-on experience on a couple of RDBMS/NoSQL/In-memory DBs
- Great database modelling skills
- Ability to choose the right algorithm, data-structure, and design pattern for the given problem statement
- Knowledge of any cloud based platform like AWS or GCP and scaling on the go
- Understanding of various application security principles and experience with building applications secure by design
QUALIFICATION:
- We don't care about which college you are from, if you have the power to convert coffee into code, we got you.


At Testing Ground, we are looking for a person who is highly passionate about technology and automation with a focus on value-driven deliverables, wants to work, learn, and expand their capability into the start-up domain.
This role is a great fit for someone who enjoys technology, project management, process improvement, and fast pace environment.
Apply to the link below and get in touch with now!
SKILLS REQUIRED (BACKEND ENGINEER)
- A person should have a sense of ownership, hold accountability for the task allocated with a data and results-driven attitude
- Have Knack over the bigger picture while building the technology with a keen eye over the minute details
- Proficient knowledge of Backend Programming language/framework and Security Compliance
- Must be experienced in designing and building Video Platforms with live streaming features
- A person with a growth mindset, who demonstrate strong initiative for building up your own skills
- In the ability to take existing models and best practices and adapt them to our environment
- Must know agile Data Analytics tools and cloud technology with back end integration
- Must know multiple systems, servers, data sources, analytics, and management with an ability to design dashboard with plugins
ROLES AND RESPONSIBILITIES
- Build and Design models from scratch and help product managers and stakeholders understand results
- Integration of user-facing elements developed by front-end developers with server-side logic
- Design, implement and optimize the application for maximum speed and scalability
- Management of hosting environment, Data migration, transformation, and scripting
- Streamline the process, ensuring integration and deployment of AI-driven models
- Set up and manage production infrastructure with the implementation of data storage solutions
- Help business stakeholders understand the limitations and consequences of various alternatives when planning
- Design Video making platform with a live streaming technology solution to integrate it with product
- Build data ingest and data transformation infrastructure
- Suggest creative and noble ideas to design a disruptive technology solution
BENEFITS
Remote Work | Flexibility | Flat Structure | Entrepreneurial Culture
A high degree of value on Autonomy, Flexibility, Empathy, and Mobility
An awesome work culture which has an agile team with a growth mindset



culture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.

