Ad Operations Manager

IT Person – Job Requirements (Restaurant Industry)

1. Technical Skills

POS system setup, troubleshooting, and daily support

Knowledge of billing printers, KOT printers, LAN/WiFi setup

Basic networking (router, switch, IP configuration)

CCTV installation & monitoring

System formatting, software installation, antivirus

Knowledge of cloud backup, email setup (Outlook/Gmail)

Handling biometric attendance machines

Experience with ERP/FnB software (if any)

Basic hardware repairing (CPU, cables, RAM, HDD issues)

2. Restaurant-Specific Skills

Understanding of POS menus, modifiers, kitchen display systems

Printer paper roll change, printer alignment, POS connectivity

Troubleshooting online order integrations (Zomato/Swiggy/Dunzo)

Wi-Fi network stability for restaurant operations

Support during audit days, billing issues, shift closing reports

3. Soft Skills

Quick problem-solving

Good communication

Ability to visit outlets when needed

Ready to work on weekends if urgent issues

Responsible and reliable

4. Experience

1–3 years experience in IT support

Restaurant or retail industry experience preferred

5. Education

Diploma or Degree in IT/Computer Science

Or relevant certification (CCNA, hardware networking, etc.)

Strong UI/UX Designer Profile

Mandatory (Experience 1) - Must have 4+ years of hands-on experience as a UI/UX Designer

Mandatory (Experience 2) - Must have hands-on experience across the end-to-end UI/UX process, including user research, user flows, and information architecture

Mandatory (Tools 1) - Advanced proficiency in Figma for wireframing, prototyping, and high-fidelity UI design

Mandatory (Tools 2) - Familiarity with modern design tools such as Adobe Creative Suite (Photoshop, Illustrator) and/or Sketch

Mandatory (Portfolio) - Strong portfolio is mandatory, showcasing detailed case studies with user research, design rationale, UX process, wireframes, and final UI outputs across web and/or mobile platforms

Mandatory (Note): CTC Hike range will be 10-20%

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.
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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.

About CK-12 Foundation

CK-12’s mission is to provide free access to open-source content and technology tools that empower both students and teachers to enhance learning across different styles, resources, competence levels, and circumstances.

To achieve this ambitious vision, CK-12 challenges the traditional education model by leveraging technology to revolutionize learning for students, teachers, and parents.

CK-12 operates as a non-profit organization so it can experiment with bold ideas and focus on doing the right thing for education. The organization is backed by Vinod Khosla, a renowned technology venture capitalist.

At CK-12, you’ll work in a dynamic, entrepreneurial, and innovative environment where passionate individuals collaborate to disrupt traditional education through technology.

Technology is at the heart of scaling education, and CK-12 builds solutions on a cloud-based (AWS) and AI-first platform delivering rich and interactive learning experiences.

If you are a great technologist who enjoys challenging the status quo and building innovative products, this could be the place for you.

Together, we aim to transform education globally.

Product Offerings

Flexi 2.0 – AI-Powered Student Tutor

https://www.flexi.org/

AI-Powered Teacher Assistant

https://www.ck12.org/pages/teacher-assistant/

Core Responsibilities

• Translate high-level directions and open-ended product ideas into deliverable ML projects and drive their completion.

• Architect and implement highly scalable ML solutions for systems such as multimodal information retrieval, conversational chatbots, recommender systems, and ranking systems.

• Own end-to-end product delivery from research and experimentation to production deployment.

• Work closely with cross-functional teams including Product, Engineering, DevOps, QA, and Content teams.

• Manage ML workflows involving data gathering, working with annotators, and collaborating with ML researchers.

• Extract and analyze large volumes of data to generate insights about student and teacher behavior based on platform usage.

• Design and build innovative ML-driven solutions that can improve learning experiences in the EdTech space.

• Apply statistical hypothesis testing and experimentation to evaluate and improve models.

• Continuously innovate and challenge the traditional approach to education through ML solutions.

Requirements

• Bachelor’s degree or higher in Computer Science or a related quantitative discipline, or equivalent practical experience.

• 4+ years of hands-on development experience with strong programming skills, preferably in Python.

• Expertise in deep learning approaches for NLP including transformer-based models, predictive modeling, search and recommendation systems, and autoregressive models.

• 2+ years of experience in NLP applications such as information retrieval, chatbots, summarization, or generative models.

• Proven experience building scalable ML applications on cloud infrastructure such as AWS, GCP, or Azure.

• Strong understanding of trade-offs between model architecture, deployment costs, and model accuracy.

• Ability to manage multiple tasks and collaborate effectively with geographically distributed teams.

• Up-to-date knowledge of advancements in NLP and computer vision and the ability to apply them in the education domain.

Technical Skills

• Python, PyTorch, TorchServe

• Pandas

• SQL and NoSQL databases such as MySQL, MongoDB, Redis, and Redshift

• Cloud infrastructure (AWS / GCP / Azure)

• Vector databases and search technologies such as Elasticsearch

• Linux

Nice to Have

• Familiarity with Reinforcement Learning

• Experience with Deep Knowledge Tracing

The Human Resource Manager will perform the routine functions of hiring and interviewing staff, administering pay, benefits, setting up and enforcing company policies and practices.

• Provides constructive and timely performance evaluations.
• Handles discipline and termination of employees in accordance with company policy.

• Partners with the leadership team to understand and execute the organizations human resource and talent strategy particularly as it relates to current and future talent needs, recruiting, retention, and succession planning.
• Manages the talent acquisition process, which may include recruitment, interviewing, and hiring of qualified job applicants, particularly for managerial, exempt, and professional roles; collaborates with departmental managers to understand skills and competencies required for openings.
• Analyzes trends in compensation and benefits; researches and proposes competitive base and incentive pay programs to ensure the organization attracts and retains top talent.
• Creates learning and development programs and initiatives that provide internal development opportunities for employees.
• Oversees employee disciplinary meetings, terminations, and investigations.
• Maintains compliance with regulation authorities and local employment laws and regulations, and recommended best practices; reviews policies and practices to maintain compliance.
• Maintains knowledge of trends, best practices, regulatory changes, and new technologies in human resources, talent management, and employment law.
• Performs other duties as assigned.

About the Role:

We are seeking a skilled Business Analyst to join our IT team. As a Business Analyst, you will be responsible for bridging the gap between business needs and technology solutions. You will work closely with stakeholders, developers, and project managers to ensure that requirements are gathered, analyzed, and implemented in alignment with the company’s business objectives. This role demands strong analytical, problem-solving, and communication skills, along with a solid understanding of IT systems.

Key Responsibilities:

1. Requirement Gathering & Analysis:

• Engage with stakeholders to understand business needs and translate them into detailed functional and technical specifications.
• Conduct interviews, workshops, and research to gather business and technical requirements.
• Collaborate with cross-functional teams, including developers, project managers, and UX designers, to ensure project goals align with business objectives.

1. Documentation & Communication:

• Create and maintain Business Requirement Documents (BRD) and Functional Requirement Documents (FRD).
• Prepare user stories, use cases, and process flow diagrams.
• Communicate technical concepts to non-technical stakeholders, ensuring clarity and understanding.

1. System Modeling & Design:

• Utilize modeling tools (such as UML or BPMN) to create workflow diagrams and system architecture.
• Create wireframes and prototypes to visualize the functionality and design of new systems or enhancements.
• Identify process improvement opportunities and recommend solutions.

1. Data Analysis & Reporting:

• Analyze data to identify trends, forecast outcomes, and provide actionable insights to stakeholders.
• Work with SQL databases to query data and assist in reporting.
• Create data visualizations and dashboards using tools like Power BI or Tableau.

1. Project Support & Coordination:

• Work closely with the development team throughout the Agile development lifecycle, ensuring that requirements are implemented effectively.
• Assist in managing sprints, user acceptance testing (UAT), and quality assurance processes.
• Provide post-implementation support and address any issues that arise after system go-live.

1. Stakeholder Management:

• Serve as the primary point of contact between the business stakeholders and the IT team.
• Facilitate communication between all parties, ensuring that stakeholders’ needs are met.

1. Pre-Sales & Post-Sales Support:

• Assist in pre-sales activities by evaluating client requirements, conducting feasibility studies, and providing solutions.
• Participate in post-sales support, ensuring that solutions are successfully implemented and meet the customer’s expectations.

Required Skills & Qualifications:

• Educational Background: Bachelor’s degree in Information Technology, Computer Science, Business Administration, or related field.
• Experience: 1+ years of experience as a Business Analyst in an IT company or related field.
• Technical Skills:
• Proficiency in data analysis tools (e.g., SQL) and reporting software (e.g., Tableau, Power BI).
• Knowledge of process modeling tools (e.g., Visio, Lucidchart).
• Familiarity with Agile methodology and tools (e.g., JIRA, Confluence).
• Understanding of APIs and system integrations.

JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

• Creating top-quality applications.
• Collaborating with front-end developers.
• Ensuring that junior staff delivers according to standards.
• Improving functionality.
• Using the most updated and appropriate technologies.
• Designing and building application layers.

• Degree in computer science, information technology, or similar.
• Previous experience as a developer.
• Extensive working knowledge of coding using .NET languages (C+, VB, .NET).
• Familiarity with ASP.NET framework and SQL servers.
• A keen eye for detail.
• Strong communication skills.