Business Lead - IT

Job Title: Digital Marketing Intern

Company: Honeybee Digital

Location: Gandhinagar, Gujarat / Online Internship

Internship Duration: 3 Months

Job Type: Internship

Stipend

• 3-month internship: Unpaid

📄 Note: Internship certificate will be provided only after successful completion of the internship duration.

About the Role

We are looking for a motivated and enthusiastic Digital Marketing Intern to join our team. The intern will assist in executing digital marketing strategies, managing online platforms, and supporting marketing campaigns. This role is ideal for individuals who want to gain practical experience in digital marketing and work on real-world projects.

Key Responsibilities

• Assist in planning and executing digital marketing campaigns
• Manage and update social media platforms such as Instagram, Facebook, and LinkedIn
• Support SEO activities including keyword research and on-page optimization
• Assist in creating engaging content for blogs, social media, and websites
• Monitor website traffic and marketing performance using analytics tools
• Conduct market and competitor research
• Help manage email marketing and online promotions
• Coordinate with content, design, and marketing teams for campaign execution

Requirements

• Basic understanding of digital marketing concepts
• Familiarity with social media platforms and online marketing tools
• Good communication and writing skills
• Creative mindset and willingness to learn
• Ability to manage tasks and meet deadlines

Skills You Will Gain

• Hands-on experience in SEO, Social Media Marketing, and Content Marketing
• Exposure to digital marketing tools and analytics
• Practical experience working on live projects and campaigns
• Understanding of online marketing strategies and brand promotion

Who Can Apply

• Students pursuing Marketing, Digital Marketing, Business Administration, or related fields
• Freshers interested in starting a career in digital marketing
• Candidates eager to gain real-world marketing experience

Job Title: Restaurant Captain

Department: Operations Service

Location: Mumbai

Reports To: Restaurant Manager / Assistant Restaurant Manager

Position Summary:

The Restaurant Captain is responsible for supervising and coordinating the activities of the service team to ensure seamless guest experiences. This role bridges front-line service and management, ensuring smooth operations, adherence to service standards, and prompt issue resolution.

Key Responsibilities:

Guest Service & Operations

• Greet and assist guests with warmth and professionalism, ensuring memorable dining experiences.

• Supervise table set-up, service sequence, and clearing to maintain brand standards.

• Take and confirm guest orders, ensuring accuracy and timely delivery of food and beverages.

• Handle guest feedback or complaints promptly and effectively.

• Coordinate with kitchen and bar teams for smooth order flow and service timing.

Qualifications & Experience:

• Minimum 2–4 years of experience in restaurant operations or similar supervisory roles.

• Strong knowledge of F&B service standards and POS systems.

• Excellent communication, leadership, and interpersonal skills.

• Ability to handle pressure and multitask in a fast-paced environment.

Candidate should have a consultative approach not just pre sales call approach. 

2. Must be from B2B SAAS, MarTech or SalesTech but product based company only

3. Should be able to prepare pitch decks for the clients

4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role

5. Solid technical foundation with the ability to explain complex concepts clearly

6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively

7. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable

Preferred companies to find candidate for this role - Cvent, Bizzabo, Airmeet, Hubilo, Hopin, vFairs, ON24, Goldcast, Webex Suite, BigMarker, Stova, Splash and EventMobi.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
• Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
• Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
• Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
• Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
• Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
• Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
• Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
• Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
• Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
• Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.

Procurement of Raw material.

Searching Vendors

Strong Negotiation Skills

Understanding of client need

should be a machenical engineer

If you're an experienced back-end developer with experience using serverless architecture (AWS Lambda, DynamoDB) and microservices, this could be the ideal job for you!

You'll be at a senior position, developing & maintaining microservices, business logic, and optimization/maintenance of the global database(s) to ensure a high performance & responsiveness to requests from the front-end.

Language:

Node.js/Tyepscript

Resposibilities:

Building stable, testable, and reusable code libraries for future use.

Write & maintain REST APIs for front-end consumption.

Managing deployments, code pushes (CI/CD pipelines).

Ongoing optimization of backend applications for maximum speed and scalability.

Implementation of security and data protection.

Design and implementation of data storage solutions.

Ideal Candidate:

At least 3-4+ years of server-side programming experience.

Solid experience working with NoSQL databases & microservices architecture.

Solid experience with version control (we use Github).

Decent experience with serverless architecture, code deployment and cloud platforms like AWS.

GOOD TO HAVE: Any experience working with fintech projects.

We are looking for someone with good communication skills and okay with sales and operations. As of now, this will be 70% sales and 30% operations.

Key responsibilities:

1. Promoting and selling memberships to potential new clients (walk-ins/trials)

2. Working on achieving the target by driving conversions

3. Working on upselling

4. Maintaining a record of every interaction with new users

5. Working on entering all the details of customers and walk-ins in internal tools

6. Managing the center experience and incremental enhancements

7. Handling the timely opening and closing of the center

8. Working on inventory management

Note:

1. Role name: Associate Center Manager

2. CTC: 3 LPA fixed

3. Number of working days: 6

4. Week off: 1 (rotational)

5. Shift timings: split shift (5:30 am to 10 am, break, 5 pm to 10 pm)

• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices