AAFT –a venture of Marwah Studio, under the visionary leader, Mr. Sandeep Marwah, has been Asia’s
first film school providing Media and Arts Education for more than 27 years now. We are India’s first
media university skilling creative talents across the country.
Established in the year 1990, Asian Academy of Film and Television (AAFT), is a Media and
Communication academy located in Delhi/NCR. It is located in Film City Noida, and is known for
offering various undergraduate, postgraduate, diploma and short-term courses in the fields of Cinema,
Mass Communication, Animation, Fashion and Photography. AAFT has been facilitating Media
education for more than 27 years, and all its courses are professional in nature. The academy is
approved by the UGC and recognised by the Ministry of Education.
AAFT has international accreditation from the International Chamber of Media & Entertainment
Industry. Till date, AAFT has trained more than 1 lakh students from 180 countries. The academy also
has collaboration with international universities such as New York University, USA, Oxford Business
College, United Kingdom and Deakin University, Melbourne, Australia. The training faculty members at
AAFT comprises industry experts and celebrities like Sonam Kapoor, Anil Kapoor and Nawazuddin
Siddiqui.
The group has ventured into Ed-Tech domain by launching AAFT Online envisions a single platform for
skilling and promoting creative talent across the globe. AAFT online aims at building a consortium of
the like-minded creative professionals by facilitating and promoting creative art skills across the world
by sourcing, engaging and collaborating via a technologically assisted eLearning platform.
We are on a mission to create a pool of market-ready creative talents in creative skills arts. An
integrated e-Learning platform exhaustively covering the national, international and multilingual
programs in creative arts skills, intending to make it accessible, affordable and inclusive to every
creative person present anytime, anywhere.
AAFT Online a world-class Ed-Tech platform to promote, share and collaborate with creative people.
It’s a common platform for learners and facilitators of creative talent.
Department: Sales
Designation: Learning Consultant
Key Responsibilities:
We are looking to hire passionate Inside Sales professionals for our Sales team. The role will be based
either based out of Gurgaon. The role involves high volume calling coupled with attractive monthly
incentives!
Your primary job responsibility will include (and not limited to):
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Driving inquiries & admissions for the various short term/long term learning programs being
offered.
Managing the entire sales cycle: starting from engaging with the large volume of well-qualified
leads till the final conversion i.e. enrollment in the program.
Counseling students via call/email on which program would be useful for their career
progression and suggest the best options.
Updation of the CRM on a regular basis.Mandates:
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Job Role: Inside Sales
Location: Sector 28, Gurgaon
Required Work Experience: 1-5 years (sales work exp.)
Educational Qualification: Graduation
Budget: 5-7 LPA fixed CTC + uncapped incentives
Shift Details: 6 days working; 10AM-7PM, Sundays fixed off.
Age Bracket: Not beyond 29 years.
Gender: Any.
Should be target oriented and a self-driven individual.
Proficient in Microsoft Office - especially Excel.
Excellent communication and interpersonal skills.

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Job Summary
We are looking for a Data Scientist – AI/ML who has hands-on experience in building, training, fine-tuning, and deploying machine learning and deep learning models. The ideal candidate should be comfortable working with real-world datasets, collaborating with cross-functional teams, and communicating insights and solutions to clients.
Experience: Fresher to 5 Years
Location: Ahmedabad
Employment Type: Full-Time
Key Responsibilities
Develop, train, and optimize Machine Learning and Deep Learning models
Perform data cleaning, preprocessing, and feature engineering
Fine-tune ML/DL models to improve accuracy and performance
Deploy models into production using APIs or cloud platforms
Monitor model performance and retrain models as required
Work closely with clients to understand business problems and translate them into AI/ML solutions
Present findings, model outcomes, and recommendations to stakeholders
Collaborate with data engineers, developers, and product teams
Document workflows, models, and deployment processes
Required Skills & Qualifications
Strong understanding of Machine Learning concepts (Supervised, Unsupervised learning)
Hands-on experience with ML algorithms (Linear/Logistic Regression, Decision Trees, Random Forest, XGBoost, etc.)
Experience with Deep Learning frameworks (TensorFlow / PyTorch / Keras)
Proficiency in Python and AI/ML libraries (NumPy, Pandas, Scikit-learn)
Experience in model deployment using Flask/FastAPI, Docker, or cloud platforms (AWS/GCP/Azure)
Understanding of model fine-tuning and performance optimization
Basic knowledge of SQL and data handling
Good client communication and documentation skills
Good to Have
Experience with NLP, Computer Vision, or Generative AI
Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines)
Experience working on live or client-based AI projects
Kaggle, GitHub, or portfolio showcasing AI/ML projects
Education
Bachelor’s / Master’s degree in Computer Science, Data Science, AI/ML, or related field
Relevant certifications or project experience will be an added advantage
What We Offer
Opportunity to work on real-world AI/ML projects
Mentorship from experienced AI/ML professionals
Career growth in Data Science & Artificial Intelligence
Collaborative and learning-driven work culture
Strong Software Development & DSA Profile
Mandatory (Experience): Must have 5+ YOE in Software Devleopment (preferably in product-based companies).
Mandatory (Skills 1): Must have strong expertise in scalable systems and applied DSA
Mandatory (Skills 2): Must have strong understanding of System Design (like HLD, LLD, microservices, caching, database scaling)
Mandatory (Exclusion): Don't source from Physicswallah and Scaler (No hire policy)
Job description
JD - Java Developer (Backend Developer)
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
Overall Roles & responsibilities:
- Consult with client team to understand business requirements and with solution architects / team lead to understand the application architecture.
- Develop/code applications following specifications using the appropriate tools and adhering to the standard coding standards.
- Coordinate unit testing, integration testing and bug fixing with the development and quality assurance team.
- Plan for defect fixes as per priority and severity mentioned by QA team.
- J Attend daily scrum meeting with entire team and client.
- Roles and Responsibilities:
Hands-on experience on Angular, CSS, Scripting, NodeJs/express
Experience in Responsive Web, Automation, CI/CD, Github, Microservices, Postgres (or any other RDBMS)
Experience in AWS (SQS, SNS, Cognito)
Implementing Observability/Monitoring.
Strong experience in REST APIs
Description of work at Sukhiba:
Link to know about SUKHIBA:
Bachelor’s degree in Computer Science, Information Technology, or a similar field.
Previous experience working as a React.js Developer.
In-depth knowledge of JavaScript, CSS, HTML and front-end languages.
Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
Experience with user interface design.
Knowledge of performance testing frameworks including Mocha and Jest.
Experience with browser-based debugging and performance testing software.
Excellent troubleshooting skills.
Good project management skills.
CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)
Below are the job Details :-
Experience 10 to 18 years
Mandatory skills –
- data migration,
- data flow
The ideal candidate for this role will have the below experience and qualifications:
- Experience of building a range of Services in a Cloud Service provider (ideally GCP)
- Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies.
- Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools
- Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion
- Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.
- Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)
- Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.
- Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform
- Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala
- Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes
- Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security
- Financial experience is preferred
- Ability to learn new technologies and rapidly prototype newer concepts
- Top-down thinker, excellent communicator, and great problem solver
Exp:- 10 to 18 years
Location:- Pune
Candidate must have experience in below.
- GCP Data Platform
- Data Processing:- Data Flow, Data Prep, Data Fusion
- Data Storage:- Big Query, Cloud Sql,
- Pub Sub, GCS Bucket











