Social Media and content creator intern

About the Role

Shava Studios is building AI-native software products. We are hiring a Mid Senior Full-Stack Engineer to own features end-to-end across the frontend and backend, with depth in system architecture and the AI and real-time systems that connect them. We hire for demonstrated ability rather than years of experience.

Technical Environment

1. Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, MUI, Radix UI, TanStack Query, Zustand, NextAuth; Remotion for in-browser video editing and rendering.
2. Backend: Python, FastAPI, SQLAlchemy with PostgreSQL and Alembic, Pydantic; hexagonal (ports-and-adapters) microservices.
3. Async & Real-Time: Celery with RabbitMQ, Redis and Redis Streams, server-sent events, and WebSockets.
4. AI: LangGraph, deepagents, and LangChain for agent orchestration across multiple GenAI providers (OpenAI, Google, and others).
5. Tooling & Quality: Vitest, Playwright, Testing Library, pytest, Hypothesis; ruff and mypy; TDD with a strict line-and-branch coverage gate; Docker; CI on Azure Pipelines.

Responsibilities

1. Design, build, and ship full-stack features end-to-end across the UI, backend services, and async job pipelines.
2. Design and evolve service APIs, data models, and database schemas with migrations.
3. Architect and integrate LLM/agent and other AI capabilities behind clean, provider-agnostic abstractions.
4. Build and harden real-time systems (WebSockets, server-sent events, streaming) with reliable delivery and reconnection semantics.
5. Design asynchronous processing pipelines: queuing, workers, retries, idempotency, and failure recovery.
6. Manage third-party integrations (payments, AI providers, storage) behind well-defined interfaces.
7. Optimize frontend and backend performance, state management, and scalability.
8. Own security-sensitive concerns: authentication, authorization, secret handling, and secure service-to-service communication.
9. Instrument observability: logging, metrics, tracing, and structured error handling.
10. Uphold and evolve the architecture and engineering standards through technical design and code review.
11. Mentor engineers and raise the quality bar across the team.

Requirements

1. Proven full-stack delivery across a React/TypeScript frontend and a Python (or comparable) backend.
2. Sound judgment on architecture, API design, and data modeling, with the ability to articulate trade-offs.
3. Rigorous testing discipline and comfort with TDD and high coverage standards.
4. Ability to work with LLM/GenAI systems; direct experience preferred, though strong engineers eager to learn are welcome.
5. Technical leadership: thoughtful code review, clear technical writing, and a focus on root-cause fixes.

Nice to Have

1. Production experience with LLM/agent systems (LangGraph, LangChain, or similar).
2. Media or video pipelines: encoding, timeline editors, or serverless rendering.
3. Async worker systems (Celery, RabbitMQ, Redis).
4. Payments/billing and metering systems under concurrency.
5. Hexagonal architecture, ports-and-adapters, or DDD experience.

Growth

The role offers substantial influence over architecture and a clear path toward staff-level technical leadership for engineers who raise the team's standards.

Key Responsibilities

• Instruction & Curriculum: Designing and delivering engaging math lessons (algebra, geometry, calculus, statistics) aligned with curriculum standards.
• Assessment & Grading: Creating tests, quizzes, and assignments; grading work in a timely manner to measure student comprehension.
• Classroom Management: Maintaining a safe, productive, and structured learning environment.
• Support & Differentiation: Providing one-on-one or small group tutoring for struggling students, and modifying curriculum for diverse learning needs.
• Technology Integration: Using digital tools, smartboards, and software to enhance mathematical learning.
• Communication: Meeting with parents/guardians to discuss student progress and participating in staff meetings.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Responsibilities

• Assist in daily administrative tasks, such as copying, filing, and scanning documents
• Manage and maintain executives' schedules, appointments, and travel arrangements
• Coordinate meetings, including preparing agendas, taking minutes, and distributing relevant documents
• Handle incoming and outgoing correspondence, including emails, phone calls, and mail
• Maintain office supplies and equipment by monitoring inventory and placing orders as needed
• Assist in the preparation of reports, presentations, and other documents
• Schedule and coordinate office events, including meetings, training sessions, and conferences
• Perform general office duties, such as greeting visitors, answering phone calls, and organizing office space

Qualifications

• Proven experience as an administrative assistant or similar role
• Excellent organizational and time management skills
• Excellent Communication skills
• Experience in computer proficiency and Microsoft office suite
• Ability to multitask and prioritize tasks
• Attention to detail and problem-solving skills
• Discretion and confidentiality

Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:

• Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
• Demonstrated experience in developing APIs using Python frameworks
• Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases

Desired Candidate Profile

• Graduation is a must
• Relevant work experience of minimum 10 years in handling MFI portfolio is required
• Work experience of handling minimum 300 to 500 crore MFIs portfolio
• Excellent communication, analytical, listening and team handling skills
• Proficiency in MS Office Suite    

We are looking for 2-3 years experienced Django Developer to join immediately in Delhi.

Responsibilities

As a Backend Developer,  you will be responsible for -

•  Building the Complete Backend of our web application and Mobile App from scratch.
• Work closely with the Frontend Engineer to integrate the algorithmic input from the Frontend Framework.
• Work closely with the product owners to create dynamic infographics with intuitive user controls.
• Participate in UAT, troubleshoot, bugs and application integration issues
• Optimize applications for best user experience
• Create and maintain documentation related to the developed processes and applications

Qualification & Experience

• 2-3 years of demonstrable experience designing, building, and working as a Django Developer for enterprise web application
• Ideally, this would include the following:
• Expert-level proficiency with Python, Django, and Django Rest Framework.
• Understanding of REST concepts and interacting with REST APIs
• Understanding of  Postgresql 
• Basic Understanding of Frontend Framework like React.js
• Deep understanding of a few Backend concepts:
• Familiarity with Elastic Search and AWS Technology
• Familiarity with Apache and Ngnix etc.
• Understanding of Python coding Standards
• In addition, the ideal candidate would have great problem-solving skills and familiarity with code versioning tools such as Github

Location:- Delhi

Digital Marketing Manager

₹3L - ₹3.6L

Responsibilities

As the digital marketing manager, you will be responsible for handling the performance and growth objectives of your clients.

You will:

• Liaise closely with clients to understand their marketing objectives
• Plan, strategize and execute clients specific goals in collaboration with an internal team of copy, writers, designers, and marketing managers
• Develop, and execute digital media campaigns on Facebook, Google, and other paid platforms
• Ideate on content and creative messaging

You are a good fit if you have experience in the following areas (not in all):

DIGITAL MARKETING

• Managing PPC campaigns, monitoring performance, analysis, and reporting.
• Digital Media Planning & Buying
• Experience in SEO strategy and content writing
• Experience with web analytics tools (Google Analytics, WebTrends, etc.).
• Managing and updating social media platforms across all digital channels.
• Knowledge of LinkedIn, Facebook ad targeting, Google Ad words
• Knowledge of website optimization, with a focus on landing page conversation and A/ B testing

ACCOUNT MANAGEMENT

• Preference to those who have previously worked in a digital marketing agency and have experience directly dealing with clients
• Project management - ability to manage 3-4 clients, streamline tasks and deliverables and ensure timeline delivery
• Collaboration: experience working with mid-sized teams and collaborators to brief, ideate, and design creative communication and develop assets to support the digital campaigns.

• Provide Thought Leadership to Develop Global Marketing strategies to support and sustain the company’s business growth.
• Develop and implement a strategic marketing plan.
• Create and manage marketing budgets and monitor costs.
• Develop and implement Brand Strategies to build company brand equity
• Be custodian for the organization's Brand Guidelines & Brand management across all its verticals & geographies.
• Closely work with the leadership team to create growth strategies, new product/ service development, and brand extensions.
• Build and inspire creative teams together and vendors as required that guarantees a holistic marketing capability to support the growth of the business
• Manage and optimize the websites within the group and use digital marketing methods to increase traffic and the online demand for our services.
• Lead communication strategy for marketing initiatives and social media campaigns
• Plan, execute, and measure lead generation programs to grow the sales pipeline.
• Work to create marketing materials/collateral (physical and electronic) including, presentations, brochures, graphics
• Manage, optimize, and provide analytics on the company’s presence in social media and other channels.
• Ensure the creation of case study content that demonstrates the benefits of our Services, Products & Training portfolio
• Strategic Brand Management
• Organize and/or ensure participation in relevant technology events, conferences, trade shows, exhibitions that help to demonstrate the company’s technology authority and create a positive image to attract good talent.
• Demonstrate effective communication and Interpersonal Skills.
• Ability to work in Global, Matrix and Team environment
• Organize PR-related activities to showcase the company and its leadership’s industry strengths.
• Undertake competition analysis and tracking with regular updates to Sales & leadership.
• Evaluate results of marketing activities and campaigns to measure ROI and effectiveness on marketing initiatives (Awareness, Demand Generation, PR, Events).
• Digital Marketing skills SEO, SMO, LinkedIn, Google Ads, Twitter, Facebook