Website:
screenandragogyplatforms.com
Job details:
Company Description Screen Andragogy Platforms (SAP) is a screen industries technology management company within SAP-Corp, focused on building a deep-tech ecosystem that transforms global screen and media sectors. Through SAP-Screen Pitch and its proprietary products and services, the company empowers industry professionals, organizations, and educational institutions to drive efficiency, creativity, and growth in content creation and distribution. At the core of its innovation is the ISAM framework, an Integrated SaaS and Agent-as-a-Service model that supports AI-powered storytelling, market research, data analytics, and production studios. SAP operates through a hub-and-spoke model with a deep-tech hub near Vijayawada, connecting to emerging and global media ecosystems to deliver audience insights, production optimization, and smarter decision-making. This structure enables seamless intelligence flow between the hub and spokes, maximizing impact across the screen and higher education ecosystems.
Role Description The Jr. Growth AI Engineer is a full-time, hybrid role based in Vijayawada, with flexibility for partial work-from-home arrangements. In this role, the individual will help design, implement, and optimize AI models that support SAP-Screen Pitch products, including content recommendation, audience analytics, and storytelling tools. Day-to-day responsibilities include working with neural network architectures, supporting NLP-driven features, contributing to software development sprints, and assisting in integrating AI services into the ISAM framework. The Jr. Growth AI Engineer will collaborate with senior engineers, product managers, and data teams to test hypotheses, refine algorithms, and scale solutions that improve user engagement and operational efficiency. The role also involves documenting technical work, participating in code reviews, and staying current with emerging AI and deep-tech trends relevant to screen industries.
Qualifications
- Strong foundational knowledge in Computer Science and Software Development, with experience in at least one modern programming language (e.g., Python, Java, or similar).
- Ability to work with Pattern Recognition techniques, including basic statistical modeling, feature engineering, and data preprocessing.
- Exposure to Neural Networks and machine learning frameworks (such as TensorFlow, PyTorch, or Keras), with interest in building and tuning models.
- Familiarity with Natural Language Processing (NLP) concepts and tools, especially for text analysis, content classification, or recommendation systems.
- Bachelor’s degree (or equivalent practical experience) in Computer Science, Data Science, AI/ML, or a related technical field.
- Comfort working in a hybrid environment from Vijayawada, with the ability to collaborate effectively across distributed teams.
- Strong analytical thinking, problem-solving skills, and attention to detail in experimental design and model evaluation.
- Interest in media, entertainment, or screen industries, and willingness
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